Mechanical Engineering Design and Manufacturing / Kaunas Spring

1.1 Computer-aided Analysis of Structures (6 ECTS)

• ‍ Main aim of the course is to develop key competence in Computer-aided analysis of structures applying finite element modeling and analysis software
• ‍On completion of the course a student will Know the aims and criteria of structural analysis, general procedure of engineering analysis, principles of the finite element method realization in computer codes; will be  able to use the specialized software (ANSYS) for structural analysis, prepare the initial data, develop computational models and perform simulations, interpret the results and prepare reports
• Content of the course covers Problems in structural analysis. Analytical and numerical methods in computer aided analysis of structures. Finite element method in structural analysis: modeling of geometry, applying loads and boundary conditions, modeling of physical properties, application of proper elements and mesh generation. Basics of ANSYS software for finite element modeling and analysis. Analysis of typical structures and components. Post processing and presentation of the analysis results. Decision making.
• ‍Ten grade achievement assesment system is applied. The final grade is the sum of weighted grades of semester tasks and final exam.Semester tasks are assested by Laboratory examination, Colloquium (interview led by lecturer and / or specialist), Mid-term examination, and final exam is carried out as Computer-based exams
• ‍Prerequisites: Basics in Information technologies, mechanics of materials and engineering mechanics (statics, kinematics, dynamics) at bachelor study level
• Teaching / Learning Methods - Lectures, Library / information retrieval tasks; Application of special software packages , Laboratory classes and discussions

1.2 Robotic Manufacturing Systems (6 ECTS)

• Main aim of the course is to provide knowledge on robotic manufacturing systems, their structure, components and control; to develop practical skills in robotic systems design and simulation.
• On completion of the course a student will know principal structure of robotic manufacturing systems, understand functions of its main components and its control methods; will have basic Practical skills in designing and simulation of robotic manufacturing systems; will be able to work out structural schemes of different kind of robotic technological complexes taking into account the specific manufacturing conditions.
• Content of the course covers Production systems, robots and automation, Levels of manufacturing automation, Automation principles and strategies, Industrial robots, Structure, classification and performance parameters of robots, Mechanical system, control and programming of the robot, End effectors of robots, Positioning accuracy of the robots, Equipment of robotic systems, their types, parameters and application, Conveying equipment, Robot grippers, Modern robotic manufacturing systems, their development and implementation, Robotized technological complexes (RTC), Structure, formation principles and composition schemes of RTC, RTC for machining 2 operations, assembly, welding, stamping and casting, Lean manufacturing systems, Safety of robotic systems, engineering ethics.
• Ten grade achievement assessment system is applied. The final grade is the sum of weighted grades of semester tasks and final exam. Semester tasks are assessed by, Problem-solving task, Report, Oral presentation, Self-assessment, Colloquium (interview led by lecturer and / or specialist); final exam is carried out as Written examination.
• Prerequisites: core subjects of engineering, basic sketching techniques, Basic knowledge of Measurement techniques and Engineering materials, basics in manufacturing engineering.
• Teaching / Learning Methods - Lectures, Individual Assignments, Laboratory classes, , Practical exercises (tasks), Tutorials

1.3 Design of Mechanical Systems (6 ECTS)

• Main aim is to develop abilities in analysing and evaluating engineering systems, performing systematic calculations, acquire skills in preparing technical projects and documentation, to gain key competence for design of unsophisticated mechanical systems as a part of integral engineering systems
• On completion of the course a student will be able to apply principles of the design, make decisions when designing mechanical structures and systems, analyse and evaluate technical level and state of engineering systems; will demonstrate skills in preparing technical project and technical documentation for different design stages and designing unsophisticated mechanical systems for integral engineering systems by using CAD software.
• Content of the course covers Conception of design, Standards. The stages of design and documentation, Application of general methods for products design and assessment, Product planning. Technical task. Conception, Methods and principles of design, The modular design, Computer aided design, Analysis and modernisation of constructions, Dimensions and tolerance stacking, Product design, ergonomics, ecology.
• Prerequisites: core subjects of engineering, basic sketching techniques, Basic knowledge of Measurement techniques and Engineering materials Fundamentals of machine element and component design.
• Ten grade achievement assessment system is applied. The final grade is the sum of weighted grades of semester tasks and project defense. Semester tasks are assisted by individual assignments, Project report while project defense is assisted by project presentation.
• Teaching / Learning Methods - Case analysis, Individual project, Library / information retrieval tasks, Practical exercises (tasks)

1.4 Applied Thermodynamics and Fluid Mechanics (6 ECTS)

• Main aim is to present main concepts and laws of thermodynamics and hydromechanics and their application. To develop skills of using the laws in engineering calculations. To develop basics undestanding of heat transfer. The course presents fundamantal knowledge of thermal engineering sciences – engineering thermodynamics, heat and mass transfer- fundamental laws, concepts, parameters and phenomena of these sciences as well as quantitative expression of such phenomena. The skills of using the laws in engineering calculations are developed. Learning to recognize, sort and analyze engineering tasks in thermodynamics, hydromechanics and heat transfer as well as to find rational solutions and methods
• ‍ On completion of the course a student will know main properties of working fluids, will be  able to individually retrieve them experimentally and using ideal gas laws, tables and software; know cycles, schematics and will be able to calculate processes of internal combustion engines, vapour power plants, refrigerators and heat pumps be able to calculate and compare main parameters of the cycles and their efficiency; will understand structure, main phenomena and laws of fluid flow, be able to employ practically methods of calculation and measurement of fluid flow parameters able to calculate and/or measure main parameters of incompressible single phase fluid flow; - understand phenomena and be able to determine main parameters of fluid discharge through orifice and nozzle, water hammer and cavitation; will know classification, purpose, design, parameters, characteristics and possibilities of application of main elements of fluid power systems. Has an ability to perform testing of the main fluid power system elements, calculation and/or measurement of their main parameters (pressure, capacity, power, efficiency). Will be able to select standard type elements of fluid power systems. Understand structure of fluid power systems and interaction of their separate parts, circuit diagrams and control principles of simple fluid power systems, are able to calculate their main parameters; will knows and be able to explain principles and laws of heat transfer and are able to apply them for heat transfer calculation. Knows classification of heat exchangers and be able to explain their advantages, limitations and area of use, knows and be able to use the main methods of heat exchangers calculations
• ‍Content of the course covers Technical thermodynamics, Power and refrigeration cycles, Hydromechanics, Heat transfer
• ‍Prerequisites: Mathematics, Physics, Chemistry;
• ‍ Ten grade achievement assesment system is applied. The final grade is the sum of weighted grades of semester tasks and final exam. Semester tasks are assested by Test, Individual tasks, Laboratory notes and report, Mid-term examination and final exam is carried out as Written examination.
• ‍Teaching / Learning Methods - Colloquium (interview led by lecturer and / or specialist), Individual work, Laboratory examination, Examination.

1.5 Numerical Methods in Engineering (6 ECTS)

• Main aim is give basic knowledge of numerical methods, develop abilities and skills in problems formulation and results analysis. To develop basic competense in the main problems of numerical methods, their solution methods and algorithms.
• ‍On completion of the course a student will be able to apply the numerical methods for solving mechanical engineering problems using numerical computing environment Matlab; Understand application sphere of numerical techniques and methods and their capabilities; will be  to apply knowledge and tools in the context of mechanical engineering models and processes;
• ‍Content of the course covers Numerical analysis in mechanical engineering: roots of equations, systems of linear algebraic equations, curve fitting, integration, solution of ordinary differential equations and optimization problems. Introduction to Finite elements in engineering: coordinates and shape functions, the Finite element equations, assembly of the global matrix and load vector, boundary condition. Numerical techniques are presented in the context of mechanical engineering applications, and example problems are solved using a numerical computing environment Matlab
• ‍Ten grade achievement assesment system is applied. The final grade is the sum of weighted grades of semester tasks and final exam. Semester tasks are assested by, Individual tasks, Laboratory notes and report, and final exam is carried out as Written examination.
• ‍Prerequisites: Mathematics, information technologies
• Teaching / Learning Methods - Individual work, Laboratory examination, Examination