6th Semester Compulsory Αρχεία - MEAD https://mead.upatras.gr/en/courses_cat/6th-semester-compulsory/ Τμήμα Μηχανολόγων & Αεροναυπηγών Μηχανικών Mon, 02 Mar 2026 08:50:15 +0000 en-US hourly 1 https://wordpress.org/?v=6.9.4 https://mead.upatras.gr/wp-content/uploads/2018/11/cropped-up_2017_logo_gr_grey-e1557232441466-32x32.png 6th Semester Compulsory Αρχεία - MEAD https://mead.upatras.gr/en/courses_cat/6th-semester-compulsory/ 32 32 Kinematics of Machines and Mechanisms https://mead.upatras.gr/en/courses/kinematics-of-machines-and-mechanisms/ Thu, 10 Apr 2025 19:43:41 +0000 http://mead1.upatras.gr/?post_type=courses&p=35392 COURSE CONTENT Fundamental theories of kinematics, vector and matrix algebra, numerical methods for use in computational mechanics, computer programs for analyzing the response of simple and complex mechanical systems, cams, gears, gear trains, synthesis of mechanisms. Kinematic analysis, mobility and range of movement – Kutzbach and Grübler’s criterion, number Synthesis, Grashof’s criterion, displacement analysis of [...]

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Fundamental theories of kinematics, vector and matrix algebra, numerical methods for use in computational mechanics, computer programs for analyzing the response of simple and complex mechanical systems, cams, gears, gear trains, synthesis of mechanisms. Kinematic analysis, mobility and range of movement – Kutzbach and Grübler’s criterion, number Synthesis, Grashof’s criterion, displacement analysis of plane mechanisms–graphical and analytical methods, velocity and acceleration analysis, kinematic elements, fixed and variable speed kinematic pairs – closed loop linkages, the four-bar linkage, the slider-crank linkage, coordinate transformations, robot arms and manipulators, variable speed kinematic pairs – cams and followers, kinematics of gears, design of gear trains, simple, compound and epicyclic gear trains, sliding gear boxes and synchronous gear boxes dimensional synthesis of mechanism; motion, path and function generation.

Students have to design a series of mechanisms. The software to be used can be found in the textbook Computer Aided Design, A CAD Approach by A.D. Dimarogonas [2001]. The students have the option of a choice of assignments among which: kinematics of a series of planar-mechanisms from Artobolevski [1975], a cam profile design, kinematics of gear trains, design of compound and epicyclic gear trains, kinematic design of a metal planner-shaper, kinematics and dynamics of a steam-powered road-roller, kinematics of a reflex-camera, the design of a 4-shift gearbox, and a light truck rear axle with 4:1 differential. For further reading the following books are proposed [Hartenberg and Denavit 1964, Artobolevski 1975, Movnin 1975, Targ 1976, Chemilevski 1984, Dimarogonas 1996, 2001, Norton 1994, Shigley 1981, 2004, Muškis 1975, Erdman 1984, Bakhvalov 1977, Kardestuncer 1974, Bedford 2005, Reuleaux 1875, Haug 1989, Ambekar 2007].

LEARNING OUTCOMES

This course reviews and reinforces the student’s understanding of Kinematics of Machines and Mechanisms. Solving more difficult problems and using graphical methods of solution provides a visual level of perception of the subjects not available in earlier courses. This course contributes primarily to the students’ knowledge of engineering topics, and does provide design experience. The following considerations are included in this course: economic, environmental, ethical, political, societal, health and safety, manufacturability, sustainability.

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]]> Elements of Machine Design II https://mead.upatras.gr/en/courses/elements-of-machine-design-ii/ Thu, 10 Apr 2025 19:42:59 +0000 http://mead1.upatras.gr/?post_type=courses&p=35391 COURSE CONTENT Elastic elements, springs, wedges. Friction couplings. Power transfer. Shafts, materials, manufacturing, configuration, stress design and critical speeds. Shaft’s dynamic analysis. Design of shafts with a computer. Belts design. Clutches and brakes Design. Hertz theory. Lubrication, stribeck curve, journal bearings. Rolling bearings and elastohydrodynamic lubrication Theory of gears and gear teeth’s. Various kinds of [...]

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COURSE CONTENT

Elastic elements, springs, wedges.

Friction couplings.

Power transfer.

Shafts, materials, manufacturing, configuration, stress design and critical speeds.

Shaft’s dynamic analysis.

Design of shafts with a computer.

Belts design.

Clutches and brakes Design.

Hertz theory.

Lubrication, stribeck curve, journal bearings.

Rolling bearings and elastohydrodynamic lubrication

Theory of gears and gear teeth’s.

Various kinds of gears (worm, helical, bevel, spiral bevel gears, planetary gears), configurations, calculation methods, industrial applications and stress analysis design.

 

LEARNING OUTCOMES

The course is a crucial course in machine and product design. The several topics of the course aim the students of the Department of Mechanical and Aeronautical Engineering in their knowledge of calculating and designing machine elements as well as their assembly. The acquired knowledge is related to the following topics: Elastic elements, springs, wedges. Friction couplings. Power transfer.

Shafts, materials, manufacturing, configuration, stress design and critical speeds. Shaft’s dynamic analysis. Design of shafts with a computer.

Belts (flat and V type) design. Clutches and brakes Design. Hertz theory.

Lubrication, stribeck curve and journal bearings.

Rolling bearings and elastohydrodynamic lubrication

Theory of gears and gear teeth’s.

Various kinds of gears (worm, helical, bevel, spiral bevel gears, planetary gears),configurations, calculation methods, industrial applications and stress analysis design.

Upon successful completion of the course the student will be able to:

  • Has understand concepts related to theory in the design and application of Machine Elements in typical problems of Mechanical Engineer.
  • To have methodological and quantitative understanding through the solving of related exercises, issues related to the design of machine components in applications of Mechanical Engineering.
  • In the Machine Design Laboratory, to has performed experimental tests related to the stresses of various machine elements (rotor balancing, finite element study and truss construction experiments, rotors fatigue) taught in theory and tutorial exercises.
  • Through the semester project and the collaboration with the  team members, they have to undergo a synthetic study (product design and design of machine elements),  related to the design , static and dynamic of machine elements either  in independent operation or in assembly mode  (product ). The student and the team are therefore also practicing with basic data regarding the cost of each machine element and the product as a whole.

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]]> Fluid Mechanics ΙΙ https://mead.upatras.gr/en/courses/fluid-mechanics-ii/ Thu, 10 Apr 2025 19:41:37 +0000 http://mead1.upatras.gr/?post_type=courses&p=35390 COURSE CONTENT BASIC PRINCIPLES OF IDEAL FLOW. Fluid deformation and vorticity. Stream function and velocity potential. ELEMENTARY FLOWS. Parallel flow, source, sink and dynamic vortex. EQUATIONS OF MOTION. Equation of continuity, momentum (Navier-Stokes), energy. Laminar flow between parallel plates. Couette Flow. Hagen – Poiseuille Flow. Flow in orthogonal pipeline. Dimensional form of flow equations. Dimensional [...]

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BASIC PRINCIPLES OF IDEAL FLOW. Fluid deformation and vorticity. Stream function and velocity potential. ELEMENTARY FLOWS. Parallel flow, source, sink and dynamic vortex. EQUATIONS OF MOTION. Equation of continuity, momentum (Navier-Stokes), energy. Laminar flow between parallel plates. Couette Flow. Hagen – Poiseuille Flow. Flow in orthogonal pipeline. Dimensional form of flow equations. Dimensional characteristic numbers. BOUNDARY LAYER. Its equations. Blasius flow on a flat plate. TURBULENT BOUNDARY LAYERS. Turbulent boundary layer of circular pipes and flat plate.

LEARNING OUTCOMES

This is a basic lesson of the Mechanical and Aeronautical Engineering and aims to give to the Mechanical and Aeronautical Engineer students advanced knowledge of Fluid Mechanics about their behavior in three-dimensional kinematic situations with the aim of investigating their impact and development of the boundary layer in components and installations of mechanical interest (plates, cylinders, wings, etc.). This knowledge is necessary and is used in many subsequent courses of Mechanical and Aeronautical Engineering, such as Aerodynamics, Wind Energy Systems, Multiphase Flows etc., but also for diploma thesis, doctoral theses and research work in general.

Upon successful completion of the course, the student will:

  • Understands the basics magnitudes that govern the state of fluid movement in both ideal and real flow conditions (ideal flow, frictional flow, boundary layers).
  • Has knowledge of calculating the flow behavior of various fluids in simple and complex flow fields, both in internal and external flows, resulting in the calculation of velocity, pressure and temperature distributions.
  • Knows and be able to apply the fundamental equations governing the movement of fluids (equations of continuity, momentum and energy of the fluids) so that they can determine the fluid-solid interaction and calculate the forces and moments are applied to the solids by the flow of fluids (resistance (drag) force, lift, pitching moment, etc.).
  • Has the appropriate background for the development of a research project in the field of Fluid Mechanics and by extension for the diploma thesis or PhD dissertation.

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]]> Computational Methods https://mead.upatras.gr/en/courses/computational-methods/ Thu, 10 Apr 2025 19:41:03 +0000 http://mead1.upatras.gr/?post_type=courses&p=35389 COURSE CONTENT Algebraic equations root finding and iterative solution methods for non-linear simultaneous equations Gaussian elimination, partial pivoting, iterative methods Gauss-Seidel and over-relaxation, algebraic eigenvalue problems Numerical integration Interpolation and curve fitting Numerical solution of ordinary differential equations, Taylor – Euler – Runge-Kutta methods – Midpoint rule – multistep and predictor-corrector methods Numerical instability Two-point [...]

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  1. Algebraic equations root finding and iterative solution methods for non-linear simultaneous equations
  2. Gaussian elimination, partial pivoting, iterative methods Gauss-Seidel and over-relaxation, algebraic eigenvalue problems
  3. Numerical integration
  4. Interpolation and curve fitting
  5. Numerical solution of ordinary differential equations, Taylor – Euler – Runge-Kutta methods – Midpoint rule – multistep and predictor-corrector methods
  6. Numerical instability
  7. Two-point boundary value problems, finite differences and shooting methods

LEARNING OUTCOMES

This course provides the basic knowledge of Numerical Analysis and Computational Mathematics.

The goals are to give the student the ability to solve linear and no-linear problems as well as to apply numerical techniques for solving mathematical and engineering problems using a PC. This knowledge is necessary and is used in many subsequent specialization courses in mechanical engineering and aeronautics.

At the end of the course the student will have developed the following skills and competencies:

  • To solve numerically linear and non-linear algebraic equations as well as systems.
  • Know methods to interpolate (estimate) a value of a function between two known values and curve fitting.
  • Know to approximate derivatives and definite integrals.
  • Know to solve numerically initial and boundary value problems
  • To develop procedures in C which implement numerical techniques for the solution of mathematical and engineering problems.

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]]> Operational Research I https://mead.upatras.gr/en/courses/operational-research-i/ Thu, 10 Apr 2025 19:40:17 +0000 http://mead1.upatras.gr/?post_type=courses&p=35388 COURSE CONTENT Section 1: Introduction to Decision Making, Decisions & Problems, Process & Conditions of Decision Making. Section 2: Operational Research, Introduction, Historical Review, Operational Research Problems, Problem Solving Process and Methodology, Applications in Engineering discipline. Section 3: Mathematical Programming, Linear Programming, Introduction, Concepts, Formulation and fundamental components of a Linear Programming problem, Mathematical modeling [...]

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Section 1: Introduction to Decision Making, Decisions & Problems, Process & Conditions of Decision Making.

Section 2: Operational Research, Introduction, Historical Review, Operational Research Problems, Problem Solving Process and Methodology, Applications in Engineering discipline.

Section 3: Mathematical Programming, Linear Programming, Introduction, Concepts, Formulation and fundamental components of a Linear Programming problem, Mathematical modeling of problems.

Section 4: Graphical solution of Linear Programming problems, Algebraic calculation of extreme points, Revised Linear Programming problem, Multiple optima, Infeasible solutions, Presenting computational (software) Tools by realizing related exercises (Microsoft Excel)

Section 5: Simplex method, Symbols, Definitions, Simplex algorithm, Solving Linear Programming problems, Interpreting the final Simplex tableau, Presenting computational (software) tools by realizing related exercises (Solver @ Microsoft Excel, LINDO).

Section 6: Sensitivity analysis, Variations of objective function coefficients, Variations of constant terms of the constraints.

Section 7: Duality theory, Dual prices, Shadow prices, Extra cost, Primal and dual problem relations, Presenting computational (software) Tools by realizing related exercises (Solver @ Microsoft Excel, LINDO).

Section 8: Examples of Linear Programming with application in Engineering discipline and Industry. Presenting computational (software) Tools by realizing related exercises (Solver @ Microsoft Excel, LINDO, GAMS).

Section 9: Minimization Problems, Problems with Constraints >=. Artificial variables. Big M method, Adapted use of Simplex Method, Common errors & weaknesses of Linear Programming models.

Section 10: Integer Linear Programming, Concepts, Purpose, Formulation and fundamental components of Integer and Mixed Integer Linear Programming problems, 0-1 variables, Mathematical modeling of problems, Branch and bound method, Special logical relations & constraints, Presentation of Integer Programming problems.

Section 11: Introducing Non-linear Programming problems, Handling non-linear mathematical relationships, Linearization techniques.

LEARNING OUTCOMES

The course aims to educate undergraduate students in the scientific field of Operational Research and Management Science (Decision Making) presenting applications in the Engineering discipline. The purpose is to familiarize students with the basic knowledge, methods, techniques, and skills required for the analysis, modeling and optimization of systems and solving decision-making problems that often are related with the allocation of limited resources among competitive activities.

The course focuses on Mathematical Programming, specifically Linear Programming and proceeds to learning the fundamentals of Integer and Mixed Integer Linear Programming.

Under this course, the students are expected to:

  • Understand the importance of Decision Making, the procedure and the quantitative methods that provide support.
  • Identify and match the problem having to deal with typical Operational Research problems.
  • Formulate and model a Decision Making problem in the context of typical Mathematical Programming framework.
  • Choose the most appropriate method for solving optimization problems.
  • Understand and interpret the results of the solution process and identify the most important parameters of the problem.
  • Make a 360o evaluation under multiple dimensions considered about the effect of the solutions outcome.
  • Use modern computational (software) tools to construct and solve optimization problems as well as to analyze the solution derived.

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]]> Heat Transfer II https://mead.upatras.gr/en/courses/heat-transfer-ii/ Thu, 10 Apr 2025 19:39:42 +0000 http://mead1.upatras.gr/?post_type=courses&p=35387 COURSE CONTENT Introduction. Heat convection phenomenology. Newton law of cooling. Pi theorem. Dimensional analysis. Nondimensional Numbers. Forced convection. Free convection. Working correlations for forced convection. Working correlations for free convection. Conjugate heat transfer. Heat exchangers. Overall heat transfer coefficient. Types of heat exchangers. Mean temperature difference. Number of Transfer Units method. Analysis of heat convection. [...]

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Introduction. Heat convection phenomenology. Newton law of cooling. Pi theorem. Dimensional analysis. Nondimensional Numbers. Forced convection. Free convection.

Working correlations for forced convection.

Working correlations for free convection.

Conjugate heat transfer.

Heat exchangers. Overall heat transfer coefficient. Types of heat exchangers. Mean temperature difference. Number of Transfer Units method.

Analysis of heat convection. Mass, momentum, and energy conservation equations. Dimensional analysis. Boundary layer. Differential and integral equations of the boundary layer. Turbulence. Laminar forced convection past plane surfaces. Turbulent boundary layers. Reynolds, Prandtl and von-Karman analogies. Heat convection in fully developed pipe flow. Reynolds, Prandtl and von-Karman analogies. Free convection heat transfer. Free convection past vertical plane surfaces.

LEARNING OUTCOMES

Knowledge:

  • the basic concepts and mechanisms in heat convection,
  • significance of non-dimensionalization and dimensionless numbers,
  • distinguishing forced and free convection,
  • turbulent flow effects on heat convection
  • heat exchangers – principle, types, modes of operation, performance
  • Heat Transfer Balances
  • mass, momentum and energy conservation equations
  • Experimental heat transfer – instrumentation, techniques, analysis and data reduction of experimental results
  • Open Issues in Heat convection
  • Heat convection and efficient energy utilization

Skills:

  • analysis of heat convection problems
  • approximating complex heat transfer problems with appropriate assumptions
  • laboratory work on heat transfer – experimental devices, instrumentation and procedures
  • efficient use of heat transfer bibliography

Abilities:

  • Solving heat convection problems in practical applications
  • quantitative analysis of heat exchangers
  • solving conservation equations in simple heat convection problems
  • experimental investigation of heat transfer problems.

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