20810414 - Methods and tools for mechanical design

• Knowledge of the theoretical basis and functionality of 3D modeling and structural analysis of mechanical components and systems.
• Knowledge of product development methods and design science for mechanical components and systems.
• Ability to use 3D modeling and structural optimization tools.
• Ability to use methods and tools to design mechanical components and systems.

Curriculum

teacher profile | teaching materials

Programme

1. Engineering Design
• Product Development. Phases of engineering design.
• Product configuration and modularity. Differences between Configure-to-Order and Engineer-to-Order.
• Product lifecycle.
2. Geometric Modeling with CAD Tools
• CAD feature-based modeling and advanced parameter management techniques.
• PMI: annotations in the 3D model.
• Overview of surface modeling.
3. CAE Tools: Computer-Aided Engineering
• Introduction to CAE systems and applications.
• Interfacing and interoperability between CAD/CAE systems.
• Software tools for finite element numerical simulation – FEM.
• Structural simulations.
4. Optimization Tools
• Tools and methods for parametric optimization.
• Multi-objective optimization.
• Topology optimization in FEM simulations.
5. Design for Additive Manufacturing – Additive Manufacturing
• 3D printing technologies, metal powder 3D printing.
• Modeling using lattice structures.
• Support structures and orientation.
• Design for Additive Manufacturing: phases, tools, and project development.
• CAD/CAE tools for additive design.
6. Design for Environment
• Principles of Life Cycle Assessment for the Industrial Sector.
• Eco-design methods supported by Life Cycle Assessment analysis (Design for Sustainability).


Core Documentation

Online documentation on the Moodle site of the course.
Some reference books are:
• G. Pahl, W. Beitz, J. Feldhusen, K.H.Grote, “Engineering Design: A Systematic Approach”, Springer, Third Edition, 2007.
• E.Manzini, C.A. Vezzoli, “Design for Environmental Sustainability”, Springer 2008. A. Saksvuori, A. Immonen, "Product Lifecycle Management", Springer 2010.
• Geoffrey Boothroyd, Peter Dewhurst, Winston A. Knight., “Product Design for Manufacture and Assembly”, CRC Press, Third Edition. 2010.
• James G. Bralla, “Design for Manufacturing Handbook”, McGraw Hill, Second Edition, 1986.
• Product Design and Development, Fifth Edition, Karl T. Ulrich and Steven D. Eppinger, 2012, McGraw-Hill
• Olaf Diegel, Axel Nordin, Damien Motte, “A practical guide to Design for Additive Manufacturing”, Springer, 2019.


Attendance

Attendance is optional but strongly recommended.

Type of evaluation

The assessment of the level of learning consists of a written exam and an oral exam with a discussion of the topics covered during the course, as well as the presentation of a project in which the skills acquired in industrial design are applied. The evaluation is graded on a scale of 18/30 to 30/30, with the possibility of honors. The minimum grade (18/30) is awarded if the student demonstrates the ability to use software tools to solve real problems, employing the theoretical methods presented in the course. The maximum grade (30/30) is awarded if the student shows that they have thoroughly explored all aspects covered during the course and have achieved a high level of competence in applying the theoretical methods and software tools. Honors are reserved for those who master the topics and tools, go beyond the required results, propose intelligent solutions, demonstrate excellent design outcomes, and present them with particular linguistic clarity.

teacher profile | teaching materials

Programme

1. Engineering Design
• Product Development. Phases of engineering design.
• Product configuration and modularity. Differences between Configure-to-Order and Engineer-to-Order.
• Product lifecycle.
2. Geometric Modeling with CAD Tools
• CAD feature-based modeling and advanced parameter management techniques.
• PMI: annotations in the 3D model.
• Overview of surface modeling.
3. CAE Tools: Computer-Aided Engineering
• Introduction to CAE systems and applications.
• Interfacing and interoperability between CAD/CAE systems.
• Software tools for finite element numerical simulation – FEM.
• Structural simulations.
4. Optimization Tools
• Tools and methods for parametric optimization.
• Multi-objective optimization.
• Topology optimization in FEM simulations.
5. Design for Additive Manufacturing – Additive Manufacturing
• 3D printing technologies, metal powder 3D printing.
• Modeling using lattice structures.
• Support structures and orientation.
• Design for Additive Manufacturing: phases, tools, and project development.
• CAD/CAE tools for additive design.
6. Design for Environment
• Principles of Life Cycle Assessment for the Industrial Sector.
• Eco-design methods supported by Life Cycle Assessment analysis (Design for Sustainability).


Core Documentation

Online documentation on the Moodle site of the course.
Some reference books are:
• G. Pahl, W. Beitz, J. Feldhusen, K.H.Grote, “Engineering Design: A Systematic Approach”, Springer, Third Edition, 2007.
• E.Manzini, C.A. Vezzoli, “Design for Environmental Sustainability”, Springer 2008. A. Saksvuori, A. Immonen, "Product Lifecycle Management", Springer 2010.
• Geoffrey Boothroyd, Peter Dewhurst, Winston A. Knight., “Product Design for Manufacture and Assembly”, CRC Press, Third Edition. 2010.
• James G. Bralla, “Design for Manufacturing Handbook”, McGraw Hill, Second Edition, 1986.
• Product Design and Development, Fifth Edition, Karl T. Ulrich and Steven D. Eppinger, 2012, McGraw-Hill
• Olaf Diegel, Axel Nordin, Damien Motte, “A practical guide to Design for Additive Manufacturing”, Springer, 2019.


Attendance

Attendance is optional but strongly recommended.

Type of evaluation

The assessment of the level of learning consists of a written exam and an oral exam with a discussion of the topics covered during the course, as well as the presentation of a project in which the skills acquired in industrial design are applied. The evaluation is graded on a scale of 18/30 to 30/30, with the possibility of honors. The minimum grade (18/30) is awarded if the student demonstrates the ability to use software tools to solve real problems, employing the theoretical methods presented in the course. The maximum grade (30/30) is awarded if the student shows that they have thoroughly explored all aspects covered during the course and have achieved a high level of competence in applying the theoretical methods and software tools. Honors are reserved for those who master the topics and tools, go beyond the required results, propose intelligent solutions, demonstrate excellent design outcomes, and present them with particular linguistic clarity.