. "Aerospace engineering"@en . . "English"@en . . "Mechanical engineering"@en . . "Science and technology of welding (casting – welding)"@en . . "5.00" . "Learning Outcomes\nStudents are expected to\n- acquire the knowledge of the fundamentals of welding and of the different welding methods.\n- understand the main principles of Metallurgy of welding and the effect of various welding parameters in the structure and properties of welds.\n- to identify the discontinuities of welds and understand how to prevent and detect them.\nGeneral Competences\nApply knowledge in practice\nRetrieve, analyse and synthesise data and information, with the use of necessary technologies\nMake decisions\nWork autonomously\nRespect natural environment\nBe critical and self-critical\nAdvance free, creative and causative thinking\nCourse Content (Syllabus)\nIntroduction, Energy sources for welding (Electrical sources-Arc welding-Resistance welding-Electroslag welding, Chemical sources-Oxyfuel gas welding-Thermit welding, Optical sources-Electron Beam welding-Laser beam welding, Solid state sources-Explosion welding-Ultrasonic welding-Friction welding-Diffusion welding) Electrode, Characteristics of the welding arc, Metal transfer, Heat flow in welding (Distribution of temperature, peak temperatures distribution, cooling rates, solidification rates, weld thermal cycle), The Metallurgy of welding. Weld discontinuities (Cracks, geometric discontinuities, lack of fusion, lack of penetration, inclusions, porosity), Inspection of welds, Welding of metals and alloys.\nThe course includes hands-on workshops for metal welding using various techniques and microstuctural evaluation of the welds." . . "Presential"@en . "TRUE" . . "Metrology and quality control"@en . . "5.00" . "Learning Outcomes\nAfter completing this course, students would be able:\nTo understand the basic concepts of quality control, the statistical process control, the attribute control charts and the acceptance quality level.\nTo understand the operating characteristic curves, the measurement of straightness flatness, perpendicularity, etc and instruments.\nTo understand the angle and profile measurements of roundness, the circular contours, the screw thread measurement, the surface texture measurements and the measurement of gears.\nTo learn the systems and applications of 3D measuring machines.\nGeneral Competences\nApply knowledge in practice\nWork autonomously\nWork in teams\nCourse Content (Syllabus)\nBasic concepts of quality control. Statistical process control. Attribute control charts. Acceptance quality level. Operating characteristic curves. ISO9000. Measurement of straightness flatness, perpendicularity, etc and instruments. Angle and profile measurements of roundness, circular contours, screw thread measurement. Surface texture measurements. Measurement of gears. The systems and applications of measuring machines." . . "Presential"@en . "TRUE" . . "Numerical methods for simulating manufacturing processes"@en . . "5.00" . "Learning Outcomes\nThe learning objectives are to pore over students in the field of the mathematical description of the manufacturing processes with material removal or plastic deformation, using finite element methods (FEM). By the conduct of this course, the students will gain the possibility to study, analyze and calculate critical technological and material parameters using modern analytical tools to solve such intractable problems. In this way, students will gain self-reliant research background in the field of material machining.\nGeneral Competences\nApply knowledge in practice\nRetrieve, analyse and synthesise data and information, with the use of necessary technologies\nMake decisions\nGenerate new research ideas\nCourse Content (Syllabus)\nMathematical description of the materials' removal process and plastic deformation using finite elements method (FEM) simulation techniques. Stress – strain fields determination during the plastic deformation. Simulation of high accuracy shear cutting, deep drawinm, sheet and tube bending etc.." . . "Presential"@en . "TRUE" . . "Numerical optimization of mechanical structures and processes"@en . . "5.00" . "Learning Outcomes\nThe implementation of numerical optimization in mechanical, manufacturing and process systems. Major emphasis is given in the optimization problem formulation using a single or multiple criteria using gradient based methods and non-gradient probabilistic methods.\nGeneral Competences\nApply knowledge in practice\nRetrieve, analyse and synthesise data and information, with the use of necessary technologies\nAdapt to new situations\nMake decisions\nWork autonomously\nWork in teams\nWork in an interdisciplinary team\nGenerate new research ideas\nAppreciate diversity and multiculturality\nDemonstrate social, professional and ethical commitment and sensitivity to gender issues\nBe critical and self-critical\nAdvance free, creative and causative thinking\nCourse Content (Syllabus)\nOptimization problem formulation\nDecision hierarchy, selection of criteria, decision variables (continuous, discrete), mathematical model formulation, constraints, parameters\nApplications (1st Assignment):\nManufacturing: Mechanical system model development\nEnergy: Thermal process model development.\nIndustrial management: Supply chain modellig.\n\nNumerical Optimization (gradient-based)\nUnconstrained and Constrained problems\nLinear and non-linear programming\nLinear and non-linear integer programming\nSolution of optimality conditions, Optimal solution sensitivity\nApplications (2nd Assignment) – Continuous decision variables (3rd Assignment) – Continuous and discrete decision variables\nManufacturing: Mechanical system optimization.\nEnergy: Heat exchanger network optimization.\nIndustrial management: Supply chain optimization.\n\nOptimization using probabilistic methods (non-gradient methods)\nSimulated annealing, genetic algorithms.\nApplications (4th Assignment) – Implementation of probabilistic optimization methods\nManufacturing: Mechanical system optimization.\nEnergy: Heat exchanger network optimization.\nIndustrial management: Supply chain optimization.\n\nMulti-objective optimization\nPareto front. Numerical optimization of multi-objective optimization problems.\nApplications (5th Assignment) – Implementation of multi-objective optimization methods\nManufacturing: Mechanical system optimization.\nEnergy: Heat exchanger network optimization.\nIndustrial management: Supply chain optimization.\n\nOptimization under uncertainty\nUncertainty characterization – Problem formulation and solution\nApplications (6th Assignment) – Implementation of optimization methods under uncertainty.\nManufacturing: Mechanical system optimization.\nEnergy: Heat exchanger network optimization.\nIndustrial management: Supply chain optimization.\n\nOptimization of dynamic problems\nTime discretization. Decision vector parameterization. Numerical solution (direct methods, sequential method, multiple shooting)\nApplications (4th Assignment) – Implementation of dynamic optimization methods.\nManufacturing: Mechanical system optimization.\nEnergy: Heat exchanger network optimization.\nIndustrial management: Supply chain optimization." . . "Presential"@en . "TRUE" . . "System dynamics"@en . . "5.00" . "Learning Outcomes\nBy the end of the module student should be able to: (i) develop dynamic tools for systems thinking including methods to elicit and map the structure of complex systems; (ii) to develop tools for modeling and dynamic simulation of complex systems; (iii) apply procedures for testing and improving the simulation models; (iv) design and evaluate policies for improving the dynamic behavior of systems.\nGeneral Competences\nApply knowledge in practice\nRetrieve, analyse and synthesise data and information, with the use of necessary technologies\nAdapt to new situations\nMake decisions\nCourse Content (Syllabus)\nIntroduction: fundamental system concepts; the object of a system dynamics analysis.\nSystem Structure and Dynamic Behavior: open and closed systems; positive-negative feedback loop; S-curve dynamics; oscillation, overshoot and collapse; other modes of behavior.\nCausal-Loop Diagrams: construction principles; loop identification.\nStocks and Flows: diagramming notation; mathematical formulation; stocks and flows diagrams; graphical integration.\nMathematical Formulation of Positive Feedback Loop: analytical solution for the linear first-order system; doubling times; non linear systems.\nMathematical Formulation of Negative Feedback Loop: analytical solution for the linear first-order system; time constants and half-times; zero-value goal structure; initial conditions; system compensation.\nMathematical Formulation of S-shaped Growth: Verhulst growth; Richards’ model; Weibull model.\nModeling Decision Making: principles for modeling decision making; formulating rate equations.\nDelays: material delays; information delays; estimating the duration and distribution of delays.\nIntroduction to PowerSim Software Package: flow diagram modeling; defining the time; computational sequence; overview of operators; function definitions.\nCase Studies in Industrial Management Using the System Dynamics Approach (PowerSim models)." . . "Presential"@en . "TRUE" . . "Heat treatments and phase transformations"@en . . "5.00" . "Learning Outcomes\nWhen successfully completing the course, students will be in position to:\n• Know the whole range of heat treatments of metals and alloys.\n• Understand the martensitic transformation and its properties.\n• Read and make calculations with ΤΤΤ and CCΤ diagrams.\n• Select the heat treatment depending on the alloying elements and the expected properties.\n• Assess the effect of the heat treatment on the mechanical properties of metals and alloys.\n• Select the best surface treatment of metals and alloys, depending on the application to be used.\n• Conduct heat treatments employing appropriate equipment.\nGeneral Competences\nApply knowledge in practice\nRetrieve, analyse and synthesise data and information, with the use of necessary technologies\nAdapt to new situations\nMake decisions\nWork autonomously\nWork in teams\nBe critical and self-critical\nAdvance free, creative and causative thinking\nCourse Content (Syllabus)\nPhase transformations in solid state. Annealing (full, partial, normalizing, tempering, recrystallization, stress-relieving). Martensitic transformation. Crystal structure, morphology and kinetics of the martensite transformation. Quenching. Effect of alloying elements. CCT and TTT diagrams. Means of quenching and cracking stresses. Tempering of simple and alloyed steels. Μartempering, austenepering, patenting.\nHardening by ageing. Thermodynamics of precipitation. Structural changes during ageing. The role of alloying elements. Applications in aluminium alloys.\nSurface treatments. Metal plating (electrolytic, hot-dip). Diffusion metal plating (vacuum deposition, vapor deposition, metal sprey). Structure of diffusion metal plating. Induction hardening and flame hardening. Thermochemical treatment. Flame carburizing. Carburizing, nitriding, carbonitriding, ion implantation. Galvanazing, chromizing, anodizing, phosphating.\nStainless steels. Ferritic, austenitic, martensitic hardening mechanisms and mechanical properties." . . "Presential"@en . "TRUE" . . "Technology of advanced materials"@en . . "5.00" . "Learning Outcomes\nUpon the successful completion of this course, the students will be able to:\n\n- understand the connection between the microstructure, properties in advanced metallic, ceramic and composite materials.\n- get to know the manifacturing methods and parameters for advanced metallic, ceramic and composite materials.\n- to select the appropriate materials for specific application and use.\nGeneral Competences\nApply knowledge in practice\nRetrieve, analyse and synthesise data and information, with the use of necessary technologies\nAdapt to new situations\nMake decisions\nWork autonomously\nGenerate new research ideas\nAdvance free, creative and causative thinking\nCourse Content (Syllabus)\nLight alloys: Titanium alloys (Ti), magnesium alloys (Mg) and aluminum alloys (Al). Nickel (Ni) superalloys and high temperature alloys. Intermetallic compounds, Microstructure, properties and applications, Special steels and Advanced Aluminum Alloys, Metallic foams and porous materials (production methods, characteristics of micro- and macro-structure, mechanical properties, applications. Advanced Ceramic Materials, Powder metallurgy" . . "Presential"@en . "TRUE" . . "Coating applications in manufacturing"@en . . "5.00" . "Learning Outcomes\nThe learning objectives are to pore over students in the technology of thin hard coatings and be able to optimize the cutting performance of coated cutting tools through innovative methodologies, among others based on nanotechnology.\nGeneral Competences\nApply knowledge in practice\nRetrieve, analyse and synthesise data and information, with the use of necessary technologies\nCourse Content (Syllabus)\nBasics on plasma physics. Coating materials. Determination of coating mechanical properties and residual stress changes through nanoidentation. Determination of coating brittleness by nano-impact tests. Films’ cohesion and adhesion characterization by perpendicular and inclined impact tests. Determination of film fatigue properties. Creep behaviour determination of plasma-sprayed coatings. Coating wear in cutting applications and its mathematical description. Pre-and post-treatments of coated cemented carbide tools for improving their cutting performance. Effect of coating thickness, strength properties, hardness and film distribution on the wear behavior of coated tools. Layout of cutting tool data for optimum coating performance" . . "Presential"@en . "TRUE" . . "Method of boundary finite elements"@en . . "5.00" . "General Competences\nApply knowledge in practice\nRetrieve, analyse and synthesise data and information, with the use of necessary technologies\nMake decisions\nWork autonomously\nWork in an interdisciplinary team\nAdvance free, creative and causative thinking" . . "Presential"@en . "TRUE" . . "Project management"@en . . "5.00" . "Learning Outcomes\nThe ability to develop an effective project plan.\nThe ability to decompose complex projects using hierarchy diagramming.\nThe ability to control project uncertainties using stochastic estimating techniques.\nThe ability to use the earned-value management method to track project status.\nThe ability to apply to control changes to the project management plan.\nThe ability to crash/fast-track the critical path.\nThe ability to apply detailed cost estimating techniques.\nThe ability to apply techniques for identifying and quantifying projects risks.\n\nGeneral Competences\nApply knowledge in practice\nRetrieve, analyse and synthesise data and information, with the use of necessary technologies\nDesign and manage projects\nCourse Content (Syllabus)\nProject management: defnitions, project goals. Knowledge areas. Project life-cycle. Project identification - feasibility study. Project design: Work Breakdown Structure, Network Analysis, Gantt Chart. Resourse allocation and planning. Planning with limited resources. Cost planning and budgeting. Communication planning. Quality assurance planning. Project crashing. Stochastic task durations: PERT method. Project Risk Management. Earned value Analysis. Project completion and evaluation. Project management Information Systems: Microsoft Project." . . "Presential"@en . "TRUE" . . "Numerical methods in vibration"@en . . "5.00" . "General Competences\nApply knowledge in practice\nRetrieve, analyse and synthesise data and information, with the use of necessary technologies\nAdapt to new situations\nMake decisions\nWork autonomously\nWork in teams\nWork in an international context\nWork in an interdisciplinary team\nAdvance free, creative and causative thinking\nCourse Content (Syllabus)\nAnalytical Dynamics: generalized coordinates, motion constraints, principle of virtual work, Lagrange’s equations, Hamilton’s principle, Hamilton’s canonical equations.\nNumerical solution of systems of linear and nonlinear algebraic equations (determination of static response, kinematics of mechanisms, direct determination of periodic steady-state motions).\nNumerical integration of the equations and equations of motion of mechanical systems and structures (systems of differential equations and differential-algebraic equations).\nEvaluation of natural frequencies and modes of complex structures.\nApplications from the area of rigid body dynamics and machine dynamics (mass balancing of reciprocating engines, power flow smoothing – flywheels, application of multibody dynamics software)." . . "Presential"@en . "TRUE" . . "Simulation"@en . . "5.00" . "Learning Outcomes\nKnowledge of the terminology of discrete event simulation.\nAbility to analyze a physical system and to develop a simulation model.\nSimulation model transformation using simulation environments (programming languages, Crystal Ball, Arena).\nAbility of statistical analysis and explanation of simulation results.\nGeneral Competences\nApply knowledge in practice\nRetrieve, analyse and synthesise data and information, with the use of necessary technologies\nWork autonomously\nCourse Content (Syllabus)\nDesign, analysis and development of simulation, random numbers, random numbers generators and simulation sampling, statostocal analaysis of simulation results, Applications in industrial managementa and operational research. Practice on specialized simulation software." . . "Presential"@en . "TRUE" . . "Reverse engineering and rapid prototyping methods"@en . . "5.00" . "Learning Outcomes\nAfter completing this course, students would be able:\nTo understand the 3D objects forming methods, necessity for prototypes construction and there manufacturing processes, the Benefits and their applications.\nTo understand Rapid Prototyping Technologies.\nTo measure solid geometry through a CMM.\nGeneral Competences\nApply knowledge in practice\nWork autonomously\nCourse Content (Syllabus)\nIntroduction to 3D objects forming methods, Necessity for prototypes construction and there manufacturing processes. Benefits of Rapid Prototyping Methods and their applications. Rapid Prototyping Technologies: Stereo lithography (SLA), Selective laser sintering (SLS), 3D inkjet printing directory, Solid ground grouping, Fused deposition modeling (FDM), and laminated Object Manufacturing (LOM). Tools Rapid Construction (e.g. dies and molds), direct and indirect technologies of Tools Rapid Construction. Measurement of solid geometry through a CMM. Program development for the automation of measurements with numerical control. Automatic scanning of solid parts for the determination of their geometry in order data to be introduced in appropriate software. Creating polygons, curves and surfaces for forming the CAD file. Dimensional deviation inspection of models- machined parts. Calculation of geometric tolerances." . . "Presential"@en . "TRUE" . . "Smart materials-nanotechnology"@en . . "5.00" . "Learning Outcomes\nTo understand the importance and the interdisciplinary of nanotechnology.\nTo understand the wide range of nanotechnology applications.\nTo understand the thermomechanical behavior of shape memory alloys.\nTo select the appropriate shape memory material for a given application.\nGeneral Competences\nApply knowledge in practice\nRetrieve, analyse and synthesise data and information, with the use of necessary technologies\nAdapt to new situations\nWork autonomously\nGenerate new research ideas\nCourse Content (Syllabus)\nIntroduction to Nanoscience\n-Νanoscale and Biomimetics\n-Production methods of nanomaterials\n-Characterization methods for nanomaterials\n-Properties of nanomaterials\n-Smart materials, shape memory materials\n-Properties of shape memory materials\n-Applications of nanomaterials" . . "Presential"@en . "TRUE" . . "Optimal control of dynamics systems"@en . . "5.00" . "Learning Outcomes\nShould be able to solve an optimal control problem using calculus of variations.\nShould be able to design a linear quadratic controller in the continuous and digital domain.\nShould be able to design an optimal state estimator and incorporate it in a control system.\nShould be able to design a linear and non-linear model-predictive controller.\nGeneral Competences\nRetrieve, analyse and synthesise data and information, with the use of necessary technologies\nAdapt to new situations\nMake decisions\nWork autonomously\nWork in teams\nWork in an interdisciplinary team\nAppreciate diversity and multiculturality\nRespect natural environment\nDemonstrate social, professional and ethical commitment and sensitivity to gender issues\nBe critical and self-critical\nAdvance free, creative and causative thinking\nCourse Content (Syllabus)\n1. Overview of automatic control principles\n2. Optimal control problem formulation\nPerformance index selection – Constraints\n3. Variational calculus in optimal control problems\nUnconstrained and constrained problems\n4. Linear quadratic control\nDisturbance rejections and set-point tracking problems\n5. Introduction to digital systems\nz-transform – digital transfer function\nStability of digital systems – Digital PID\n6. Control systems design in state space\nControllability and observability\nState feedback – Observers and Kalman filters\n7. Model predictive control\nLinear and non-linear systems\nNumerical solution and practical implementation" . . "Presential"@en . "TRUE" . . "Modern methods for life calculation of mechanical structures"@en . . "5.00" . "Learning Outcomes\nSuccessful completion of the course will lead the students to\n- understand and apply the state-of-the-art methods for determining the lifetime of engineering components subject to cyclic loading with constant amplitudes as well as to stochastic cyclic loading with variable mean loads and load amplitudes\n- determine the strength / fatigue life of engineering components (except welded structures) in dependence of the applied loading by means of calculational methods\n- assess the advantages, calculationa accuracy and the application limits of the tought calcualtional methods\n- determine the influence of materials, treatments and enviroment on the fatigue strength by means of experiments, calcualtion algorithms and models.\nGeneral Competences\nApply knowledge in practice\nRetrieve, analyse and synthesise data and information, with the use of necessary technologies\nAdapt to new situations\nMake decisions\nWork autonomously\nWork in teams\nWork in an interdisciplinary team\nGenerate new research ideas\nAdvance free, creative and causative thinking\nCourse Content (Syllabus)\nLoad sequences and load spectra, creation of load spectra according to the rainflow, range-pair and level crossing counting methods.\nModern fatigue life calculation methods for engineering components: Nominal Stress Concept, Nominal Stress Concept, Local Strain Approach, Fracture Mechanics Concepts, all including exercises." . . "Hybrid"@en . "TRUE" . . "Cae – simulation of mechanical structures"@en . . "5.00" . "Learning Outcomes\nAfter successful completion of the course, students should be able to:\n(a) Create accurate Finite Element models\n(b) To work efficiently with state-of-the-art pre- and postprocessing software\n(c) To evaluate the results\nGeneral Competences\nApply knowledge in practice\nRetrieve, analyse and synthesise data and information, with the use of necessary technologies\nMake decisions\nGenerate new research ideas\nDesign and manage projects\nBe critical and self-critical\nAdvance free, creative and causative thinking\nCourse Content (Syllabus)\n3D-surface definition using CAD systems. Databases of the CAD systems and neutral file standards (IGES, VDA-FS, STEP, SET). FE-Descritization of 3D-structures and elements quality evaluation. Applying boundary conditions and loads. FEA modules for structural analysis, with applications in automotive body design. Post processing, results analysis and structure optimization." . . "Hybrid"@en . "TRUE" . . "Analysis of welded structures"@en . . "5.00" . "General Competences\nApply knowledge in practice\nRetrieve, analyse and synthesise data and information, with the use of necessary technologies\nMake decisions\nWork autonomously\nWork in teams\nGenerate new research ideas" . . "Hybrid"@en . "TRUE" . . "Computational dynamics of deformable bodies"@en . . "5.00" . "General Competences\nApply knowledge in practice\nRetrieve, analyse and synthesise data and information, with the use of necessary technologies\nAdapt to new situations\nMake decisions\nWork autonomously\nWork in teams\nWork in an international context\nWork in an interdisciplinary team\nGenerate new research ideas\nDesign and manage projects\nAdvance free, creative and causative thinking" . . "Hybrid"@en . "TRUE" . . "Business economics"@en . . "5.00" . "Learning Outcomes\nBy accomplishing this course, students will have obtained insight into the principles of financing and economic operations of enterprises and organisations.\n\nThey will have obtained the fundamentals of the main forms of entrepreneurship, both on a formal/legal and on an operative level.\n\nThey will have been acquainted with the main forms of markets (monopoly, oligopoly, free competition) and they will be able to recognize the various market forms, based of quantitative features.\n\nFinally, they will have learned the possible ways of capital formation (equity and debt) as well as contemporary forms of financing and developing entrepreneurial activities.\nThe markets' operation and their impact on entrepreneurship.\nGeneral Competences\nApply knowledge in practice\nRetrieve, analyse and synthesise data and information, with the use of necessary technologies\nMake decisions\nWork autonomously\nWork in an interdisciplinary team\nCourse Content (Syllabus)\nEntrepreneurship and the economy (macro- and microeconomics, the role of enterprises, fundamentals)\nCompanies: legal forms and operational aspects\nMarkets (Monopolies, oligopolies, free markets)\nInvestments financing (Capital structure, loans and equities)\nStocks and stock markets\nBalance sheets and cash-flows statements: principles and basic elements. Capital structure and financing forms. Commercial and bank funds. Stocks and the stock exchange market. Bonds and loans. Factoring and leasing.\nPublic Private Partnerships." . . "Presential"@en . "TRUE" . . "Experimental methods for the study of materials"@en . . "5.00" . "no data" . . "Presential"@en . "FALSE" . . "Tribology"@en . . "5.00" . "no data" . . "Presential"@en . "FALSE" . . "Machine tools"@en . . "5.00" . "no data" . . "Presential"@en . "FALSE" . . "Numerical control of machine tools"@en . . "5.00" . "no data" . . "Presential"@en . "FALSE" . . "Spatial mechanisms-industrial robots"@en . . "5.00" . "no data" . . "Presential"@en . "FALSE" . . "Special topics on thermal processing and industrial refrigeration"@en . . "5.00" . "no data" . . "Presential"@en . "FALSE" . . "Energy resources management"@en . . "5.00" . "no data" . . "Presential"@en . "FALSE" . . "Thermal turbomachinery"@en . . "5.00" . "Learning Outcomes\nThe students will:\n1. Learn and understand of the essential information regarding the performance and the characteristics of an aircraft\n2. Learn and understand the aircraft design phases and how to proceed to the early phases of the aerodynamic design and performance calculation of a simple aircraft\n3.\nGeneral Competences\nApply knowledge in practice\nRetrieve, analyse and synthesise data and information, with the use of necessary technologies\nAdapt to new situations\nMake decisions\nWork autonomously\nWork in teams\nWork in an international context\nGenerate new research ideas\nDesign and manage projects\nCourse Content (Syllabus)\nConceptual, preliminary, detailed design. Specific aerodynamic data for aircraft wings. Aircraft performance (takeoff, climb, steady level flight, landing). Aircraft stability and control. Future designs. Aircraft design examples. Aerothermodynamics for reentry conditions." . . "Presential"@en . "TRUE" . . "Internal combustion engines II"@en . . "5.00" . "Learning Outcomes\nAfter successful course completion, the students will be able to solve complex design and operational problems for Internal Combustion Enggines, via their familiarization with modern modeling approaches. They will be in the position to study critically the technical literature and evaluate technologies of improving the energy and environmental performance of engines.\nGeneral Competences\nApply knowledge in practice\nRetrieve, analyse and synthesise data and information, with the use of necessary technologies\nAdapt to new situations\nMake decisions\nWork autonomously\nWork in teams\nWork in an international context\nWork in an interdisciplinary team\nGenerate new research ideas\nCourse Content (Syllabus)\nEngine cycle simulation (process analysis) using filling-emptying models. Thermodynamic analysis and cycle efficiency calculation. Modeling of flow in inlet/exhaust valves. Combustion models. Pollutant formation prediction via two-zone combustion modeling. Compressible flow and gas dynamics analysis in inlet and exhaust pipes. Turbocharger thermodynamic analysis, modeling and practical aspects. Intercooling. Modeling of cooling and lubrication systems. Simulation examples of steady-state and transient performance of Diesel and gasoline engines. Simulation applications using commercial software tools and model validation." . . "Presential"@en . "TRUE" . . "Pollution control technology (pollution control technology for stationary sources)"@en . . "5.00" . "Learning Outcomes\nAfter succesfully completing this course, he students will be able to:\n- Recognise the main pollutants and their characteristics\n- Understand pollution control technologies for a given industrial installations\n- Sselect appropriate pollution control device\n- Calculate sizes of pollution control devices\n- Estomate the cost of each pollution control solution\nGeneral Competences\nRetrieve, analyse and synthesise data and information, with the use of necessary technologies\nMake decisions\nWork autonomously\nWork in teams\nDesign and manage projects\nRespect natural environment\nCourse Content (Syllabus)\nIIntroduction\nIntroduction, main pollutant categories, sources, impacts, formation of primary and secondary particles, pollution control and techniques.\n\nParticle dynamics\nParticle dynamics, sizes, equivalent diameter stokes, aerodynamic, mobility. Motion in a fluid under different Kn numbers, particle drag, Cunningham correction, motion under a force field (gravitational, electrostatic), terminal velocity.\nStatistical size distributions, normal, log-normal, bimodal, mean value, median value, standard deviation, variation, calculations with field data. First semester project.\n\nParticle emission control\nEmission control technologies: inertial collectors, centrifugal separators, electrostatic precipitators, filters, water scrubbers. Operation principles, types, industrial applications, sizes. Efficiency calculations, size and pressured drop of cyclones, bag filters and electrostatic precipitators. Calculating size and pressure drop of cyclones, bag filters, electrostatic precipitators. Impact of particle chemistry on efficiency. Second semester project.\n\nGaseous pollutants emission control\nAbsorption: Thermodynamics, Henry’s law, Raoult’s law, mass transfer rate. Absorption columns, types, technologies, characteristics, bed materials, absorbents and absorbates. Calculation of column height based on number of transfer units, minimum diameter for flooding, pressure drop.\nAdsorption: Thermodynamics, Langmuire isotherms, rate of adsorption/desorption. Adsorbers, fixed bed, fluidized bed systems, adsorbent and adsorbates, adsorbing zones, calculation of size and pressure drop.\nNOX emission control: combustion control, exhaust gas recirculation, catalytic converters, light-off temperature, SCR technology.\nThird semester project." . . "Presential"@en . "TRUE" . . "Environmental management"@en . . "5.00" . "Learning Outcomes\nThis course aims at the an in-depth study of integrated environmental management and assesment tools. Special emphasis is given in case studies relevant to: (i) Life Cycle Assessment, (ii) Ecological Label, (iii) Environmental Management Systems, (iv) Environmental Indicators and Indexes, (v) Sustainable Product Design, (vi) General Proncipals of Environmental Economics, (vii) Multi-criteria Decision Analysis, (viii) Environmental Statisics, (ix) Optimal Desicion Support Approached for Environmental Management.\nGeneral Competences\nApply knowledge in practice\nRetrieve, analyse and synthesise data and information, with the use of necessary technologies\nMake decisions\nWork autonomously\nWork in teams\nDesign and manage projects\nRespect natural environment\nCourse Content (Syllabus)\n1. Environmental Law\n2. Life Cycle Assessment\n3. Environmental Management Systems (EMS)\n4. Ecological Label\n5. Environmental Indicators and Indexes\n6. Sustainable Product Design\n7. General Proncipals of Environmental Economics\n8. Multi-criteria Decision Analysis\n9. Environmental Statisics\n10. Climate Change and Energy Strategies\n11. Optimal Desicion Support Approached for Environmental Management" . . "Hybrid"@en . "TRUE" . . "Solid waste treatment and management"@en . . "5.00" . "Learning Outcomes\nThey will be able to manage solid waste with environmentally friendly and financially viably systems. They will be able to utilize decision making tools and to implement them for solving problems that concern solid waste management. These tools are Life Cycle Analysis, Geographic Information Systems, carbon footprint and material flow analysis.\nGeneral Competences\nApply knowledge in practice\nRetrieve, analyse and synthesise data and information, with the use of necessary technologies\nMake decisions\nWork autonomously\nWork in teams\nAppreciate diversity and multiculturality\nRespect natural environment\nDemonstrate social, professional and ethical commitment and sensitivity to gender issues\nBe critical and self-critical\nAdvance free, creative and causative thinking\nCourse Content (Syllabus)\n(1) Specifications for environmental friendly and economically feasible systems for the management of solid waste and the role of engineering in them.\n(2) Solid waste. Source and production, qualitative and quantitative characteristics, prevention, reduction, reuse. Treatment technologies and administrative practices: Waste transportation, collection, transfer. Recycling, separation systems, separation and transport equipment, elaboration examples. Mechanical – biological treatment, anaerobic digestion and energy recovery or secondary raw materials production. Sanitary landfilling, specifications, biogas recovery and energy utilization. Thermal treatment: Technologies of grates and elaboration, energy recovery, flu gas cleaning, residues treatment. Toxic waste treatment.\n(3) Decision making tools and their applications for solid waste. Life Cycle Analysis, Multicriteria Analysis, Geographic Information Systems, carbon footprint, material flow analysis." . . "Hybrid"@en . "TRUE" . . "Greenhouse gas reduction technologies in transport (pollution sources)"@en . . "5.00" . "no data" . . "Presential"@en . "FALSE" . . "Sustainability management and circular economy"@en . . "5.00" . "no data" . . "Hybrid"@en . "FALSE" . . "Measuring techniques in fluid mechanics"@en . . "5.00" . "no data" . . "Presential"@en . "FALSE" . . "Reliability and maintenance"@en . . "5.00" . "no data" . . "Presential"@en . "FALSE" . . "Human resource management"@en . . "5.00" . "no data" . . "Presential"@en . "FALSE" . . "Innovation and technology management"@en . . "5.00" . "no data" . . "Presential"@en . "FALSE" . . "Elevating and conveying machines"@en . . "5.00" . "no data" . . "Presential"@en . "FALSE" . . "Light structures"@en . . "5.00" . "no data" . . "Presential"@en . "FALSE" . . "Gear manufacturing processes"@en . . "5.00" . "no data" . . "Presential"@en . "FALSE" . . "Diagnostic control of machine tools"@en . . "5.00" . "no data" . . "Presential"@en . "FALSE" . . "Special topics on flexible manufacturing systems"@en . . "5.00" . "no data" . . "Presential"@en . "FALSE" . . "Combustion – electrochemistry (combustion)"@en . . "5.00" . "Learning Outcomes\nWith the succesful examination in the course, the students will be in the position to:\n- Setup and solve chemical kinetics problems\n- Design and solve problems of reacting systems\n- Study and design burners\n- Analytically calculate the development of combustion with the help of computer software (Senkin, Chemkin)\nGeneral Competences\nApply knowledge in practice\nRetrieve, analyse and synthesise data and information, with the use of necessary technologies\nMake decisions\nWork in teams\nCourse Content (Syllabus)\nChemical thermodynamics: Mass conservation and mixture stoichiometry, energy conservation in chemical reactions, Gibbs free energy, electrochemical potential and equilibrium, combustion temperature. Chemical kinetics: Elementary reactions, propagation and branching, reaction rate, reaction rate constant, partial equilibrium and steady state, reversible and chain reactions, explosion limits, combustion mechanisms for various fuels, pollutant formation kinetics. Transport phenomena: Kinetic theory of gases, quantity transport, transport coefficients, conservation equations. Reactors: constant volume, constant pressure, well-stirred reactor, plug-flow reactor. Laminar premixed flames: Structure, flame speed (Mallard και LeChatelier), factors affecting flame speed and thickness, ignition and quenching phenomena, stability limits. Diffusion flames: Damkoehler number, equivalency ratios, diffusion flame structure, characteristic numbers." . . "Presential"@en . "TRUE" . . "Pressure installations and mains (physical processes technology Iι)"@en . . "5.00" . "Learning Outcomes\nBy successfully accomplishing this course students will have obtained the theoretical background needed for the design and operation of pressure installations and networks (mains).\n\nThey will have worked comprehensively on the technologies of pneumatic, steam and gaseous fuels' networks.\n\nThey will be able to design and execute a calculative and simulative approach as part of the integrated design and sizing of pressure vessels and of distribution networks for steam, compressed air, natural gas and industrial gasses.\nGeneral Competences\nApply knowledge in practice\nRetrieve, analyse and synthesise data and information, with the use of necessary technologies\nMake decisions\nWork in teams\nDesign and manage projects\nCourse Content (Syllabus)\nPressure vessels: Characteristics, classification and structural analysis. Calculation of pressure vessels and mains. Standards and regulations.\nEnergy storage vessels in industrial applications.\nThermal, mechanical and pneumatic storage.\nSteam and water mains: design, dimensioning and construction of industrial flow networks." . . "Presential"@en . "TRUE" . . "Energy and environmental economics"@en . . "5.00" . "no data" . . "Presential"@en . "FALSE" . . "Air pollution"@en . . "5.00" . "Learning Outcomes\nAt the end of the course, students will be able to:\n- Understand the basic processes and mechanisms that lead to the generation, transport, diffusion and physicochemical transformation of air and particulate pollutants in the atmosphere and indoors.\n- Have knowledge about basic methods and devices for air quality assessment.\n- Prioritize the levels of air quality to which humans are exposed in relation to their activities, and in relation to the space and time in which such activities take place.\n- Estimate, using simple mathematical models and computational intelligence methods, the levels of air pollution.\n- Analyze and assess the conditions leading to increased levels of air pollution, particularly within urban areas (urban heat island, street canyons, urban meteorology, emissions from urban activities, etc.)\n- Understand key issues of biological weather (airborne allergens, etc.) and their synergies with conventional air pollutants.\n- Understand the key mechanisms linking urban development and climate change to air quality levels.\nGeneral Competences\nApply knowledge in practice\nRetrieve, analyse and synthesise data and information, with the use of necessary technologies\nMake decisions\nWork autonomously\nWork in teams\nWork in an interdisciplinary team\nRespect natural environment" . . "Hybrid"@en . "TRUE" . . "Computational fluids dynamics"@en . . "5.00" . "Learning Outcomes\nThe students will be able to:\n1. Know how to calculate the flow field development on/in bodies with the use of numerical techniques for the discretization of governing equations\n2. Know the fundamental numerical techniques of finite differences and finite volumes\n3. Know the convection - diffusion interpolation schemes\n4. Know the pressure correction scheme\n5. Know how integrated software packages compute the internal and external flows\nGeneral Competences\nApply knowledge in practice\nRetrieve, analyse and synthesise data and information, with the use of necessary technologies\nMake decisions\nWork autonomously\nWork in teams\nWork in an international context\nDesign and manage projects\nCourse Content (Syllabus)\n1. Introduction. Error analysis. Essential algorithms for the solution of system of equations. Numerical integration. 2. Linear and non-linear differential equations. Classification of differential equations governing mass transport and heat transfer phenomena. Typical equations governing convection and diffusion problems. The \"source term\" concept. The importance of boundary conditions and initial conditions. 3. Discretization techniques of differential equations. Taylor expansion. Discretization of first and second order. Error analysis of discretized equations. 4. Finite differences technique. Solution of parabolic, elliptic and hyperbolic flow problems with the use of finite differences technique. Discretization techniques for compressible flow problems. 5. Control volume technique. Numerical integration on a control volume. Control volume techniques adapted for specific problems. The numerical scheme and the interpolation scheme on the control volume technique. The hybrid and the central scheme. Higher order numerical schemes. The SIMPLE and SIMPLEC pressure correction technique. 6. Elements from the grid generation and grid aspects. Classification of grids and grid quality. Transformation from the cartesian to the generalized curvilinear space. Transformation of the fluid flow and heat transfer cartesian equations to the generalized curvilinear forms. The Jacobi determinant. 7. Elements from vector programming. Management of vector units on the computer processor. Programming on a parallel environment for high performance computing. The MPI parallel programming protocol." . . "Hybrid"@en . "TRUE" . . "Forecasting techniques"@en . . "5.00" . "no data" . . "Hybrid"@en . "FALSE" . . "Marketing and communication"@en . . "5.00" . "no data" . . "Presential"@en . "FALSE" . . "Industrial informatics"@en . . "5.00" . "no data" . . "Presential"@en . "FALSE" . . "Experimental methods in vibration"@en . . "5.00" . "no data" . . "Presential"@en . "FALSE" . . "Energy and environmental performance of buildings"@en . . "5.00" . "Learning Outcomes\nThe aim of this module is to provide an understanding of the building’s design principles and approach so that it can achieve the high energy and environmental performance, whilst it ensures high indoor environmental quality conditions.\n\nBy having accomplished the course, students will be able to integrate the design principles of HVAC systems, of automation and controls, but also of the adaptation of the building to the climate, the microclimate, the topology and operational and habitual conditions.\nStudents will hence be acquainted with:\n(a) energy performance design and assessment methods and tools, as well as with measures to improve the efficiency of new and existing buildings\n(b) environmental assessment methods and tools, along with measures to reduce the buildings' environmental footprint\n(c) strategies to manage the existing building stock towards a sustainable urban environment and the application of circular economy principles.\nGeneral Competences\nApply knowledge in practice\nRetrieve, analyse and synthesise data and information, with the use of necessary technologies\nMake decisions\nWork in teams\nWork in an interdisciplinary team\nRespect natural environment\nCourse Content (Syllabus)\nThe impact of buildings on nature: The effects of current designing, planning and construction practice. Introduction to energy efficient and bioclimatic design. Renewable energy sources in buildings: Passive and active solar systems, building integrated PVs, geothermal systems. Energy auditing and energy studies. Dynamic simulation of the building’s energy behaviour. Energy and environmental certification of buildings. Sustainability policies: The European and national legal framework, managing the building stock, setting aims for future developments." . . "Presential"@en . "TRUE" . . "Heating"@en . . "5.00" . "Learning Outcomes\nLearning of:\na) The history of heating technology\nb) The methodology for calculating of the desigh heatload in buildings\nc) The methodologies of calculating and design of various heating systems\nd) The procedure of calculating the energy consumption in heating systems\ne) The elaboration of design study of heating installation in buildings\nUpon successful completion of the course the students will be able to calculate and design central heating installations in buildings and to estimate the energy consumption of heating systems\nGeneral Competences\nApply knowledge in practice\nRetrieve, analyse and synthesise data and information, with the use of necessary technologies\nMake decisions\nWork autonomously\nAdvance free, creative and causative thinking\nCourse Content (Syllabus)\nIntroduction. History of heating systems. Design heat load calculations. Local and central heating systems. Heat pumps in heating systems. Hydronic heating systems design. District heating. Pipe sizing. Heating systems equipment (heating emitters, boilers, pumps, expansion tanks, valves etc) selection and sizing. Control of heating systems. Calculation of energy use for space heating." . . "Presential"@en . "TRUE" . . "Air conditioning"@en . . "5.00" . "no data" . . "Presential"@en . "FALSE" . . "Intoduction to mechatronics"@en . . "5.00" . "no data" . . "Presential"@en . "FALSE" . . "Vehicle analysis and design"@en . . "5.00" . "no data" . . "Presential"@en . "FALSE" . . "Bioengineering"@en . . "5.00" . "no data" . . "Presential"@en . "FALSE" . . "Materials and environment"@en . . "5.00" . "no data" . . "Presential"@en . "FALSE" . . "Environmental informatics"@en . . "5.00" . "no data" . . "Presential"@en . "FALSE" . . "Aerodynamic design and control of aircrafts"@en . . "5.00" . "no data" . . "Presential"@en . "FALSE" . . "Solidification – casting"@en . . "5.00" . "no data" . . "Presential"@en . "FALSE" . . "Composite materials"@en . . "5.00" . "no data" . . "Hybrid"@en . "FALSE" . . "Aeroengine technology"@en . . "5.00" . "no data" . . "Presential"@en . "FALSE" . . "Practical exercise"@en . . "12.00" . "an optional Internship of 12 ECTS is prepared for a three-month internship in a company or body of private or public law in the country or abroad (movement through Erasmus+ Placement or other actions)." . . "Presential"@en . "FALSE" . . "Integrated Master in Mechanical Engineering"@en . . "https://www.meng.auth.gr/wp-content/uploads/sites/97/2019/01/%CE%9F%CE%B4%CE%B7%CE%B3%CF%8C%CF%82-%CE%A3%CF%80%CE%BF%CF%85%CE%B4%CF%8E%CE%BD-2022-2023_V3.pdf" . "60"^^ . "Presential"@en . "Plz note that only the fifth year ( 9th and 10 Semester ) is documented.The studies of Mechanical Engineering at Aristotle University of Thessaloniki are structured as follows:\n\n1. Core Courses – Study Track Courses – Specialization Courses\n\n1.1. The 1st to the 6th semester of study (first 3 years) include exclusively Core Courses. All Core Courses are compulsory and they sum up to a total of 180 ECTS units. The Core Courses provide basic knowledge of the Mechanical Engineering studies, necessary for every student. The courses are taught through lectures and laboratory exercises.\n\n1.2. The 7th and 8th semesters of study (4th year) include Study Track Courses, which are Compulsory (Y) and Elective (E) and the total number of ECTS units, which must be obtained by each student, is 60. The students, based on the interests, are obliged to choose one of the following Tracks of Study:\n\na) Design and Structures\n\nb) Energy\n\nc) Industrial Management\n\nThe Track Courses provide advanced knowledge in special fields of the science of Mechanical Engineering.\n\n.\n\n1.3. The 9th and 10th semesters of study (5th year) include Compulsory (Y) and Elective (E) Courses. They also include the elaboration of a thesis. The total ECTS units that each student must obtain from the Courses are 30. The Specialization Courses provide further deepening of the students’ knowledge in specialized scientific areas of Mechanical Engineering with parallel development of additional abilities.\n\n1.3.1. The student chooses one of the Specializations with a corresponding statement, depending on the Track of Studies that he/she has chosen in the 4th year of studies. All the courses taken by each student must belong to the Specialization, which he /she has chosen.\n\n1.3.2. The student attends a total of 6 Courses of the Specialization he has chosen. Up to 4 of these courses may be compulsory (Y), while the rest are electives (E).\nGraduates of the Department, depending on the courses, thesis and internship they have chosen, acquire a variety of skills. In particular,\n\na) solving technological problems\nb) shaping, studying and evaluating energy systems,\nc) development of new materials, products, production and machining processes,\nd) development of industrial production organization techniques,\ne) design and analysis in environmental engineering applications,\nf) conducting experimental measurements and evaluating them in mechanical, electrical, environmental and production applications, \ng) conducting research in the science of mechanical engineering, \nh) providing advice in the wider field of mechanical engineering and applications her."@en . . . "1"@en . "FALSE" . . . "Master"@en . "Thesis" . "Not informative" . "no data"@en . "Not informative" . "Recommended" . "NA"@en . "3"^^ . "TRUE" . "Upstream"@en . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "Greek"@en . . "Faculty of Engineering"@en . .