Objectives and competences
- Gain a comprehensive understanding of the various computer-aided simulation techniques used in manufacturing and assembly.
- Recognize the complexity of manufacturing processes and how simulation software can be used to analyze and optimize these systems.
- Know how to use simulation tools to predict the behavior of manufacturing processes and gain insight into the complex interactions between various process parameters.
- Gain the skills and knowledge necessary to design and optimize manufacturing systems, reduce costs, and improve product quality.
- Be able to apply computer-aided simulation techniques to solve real-world manufacturing problems and make informed decisions about process design and optimization.
Competences:
- Critical thinking: the ability to analyze and evaluate information from multiple sources and make informed decisions about process design and optimization.
- Self-criticism: the ability to evaluate one's own work and identify opportunities for improvement.
- Problem Solving: The ability to identify and analyze problems related to manufacturing processes and develop effective solutions using simulation tools.
- Communication: the ability to effectively communicate ideas and results to both technical and non-technical audiences.
- Technical Skills: The ability to use various computer-based simulation tools to design and optimize manufacturing systems.
- Data Analysis: the ability to collect and analyze data from simulations and experiments to make informed decisions about process design and optimization.
- Creativity: The ability to think outside the box and develop innovative solutions to complex manufacturing problems.
Content (Syllabus outline)
Overview and fundamentals of techniques for computer simulation and modeling of manufacturing and assembly processes:
- finite element analysis (FEA).
- computational fluid dynamics (CFD).
- discrete element method (DEM).
- optimization methods.
- artificial intelligence.
Application examples and software for simulation and modeling of advanced manufacturing processes and assembly:
- machining processes, such as turning, drilling, milling and grinding.
- material transformation processes, such as forging, casting, extrusion, molding, forming.
- additive manufacturing.
- kinematics of assembly. Topics such as the motion of various components, kinematic constraints, and inverse kinematics.
- dynamics of assembly. Topics such as forces and torques acting on various components, dynamic constraints, and inverse dynamics.
- assembly control. Topics such as PID control, model predictive control and fuzzy logic control, trajectory planning and motion control.
Validation and verification of simulations:
- validation.
- verification.
- sensitivity analysis.
- statistical analysis.
- peer review.
Learning and teaching methods
- lectures
- individual research work
- seminar
- laboratory exercises
Intended learning outcomes - knowledge and understanding
- Identify and distinguish between different types of manufacturing processes and their simulation techniques.
- Select and apply appropriate simulation software and tools for specific manufacturing processes.
- Assemble and adjust input data and parameters to perform manufacturing process simulations.
- Define key concepts and terminology associated with computer-aided manufacturing process simulations.
- Analyze simulation results to identify potential areas for improvement in manufacturing processes.
- Evaluate the effectiveness of simulation techniques in predicting real-world manufacturing process outcomes.
Readings
1. Karner, T., Gotlih, J.: Programiranje industrijskih robotov. Univerza v Mariboru, Univerzitetna založba, Maribor (2022).
2. Kyratsis, P., Markopoulos, A.P., Kakoulis, K.: Advances in CAD/CAM/CAE Technologies. MDPI - Multidisciplinary Digital Publishing Institute, (2020).
3. Leondes, C.T.: Computer aided and integrated manufacturing systems (a 5-volume set), volume 4. World Scientific Publishing Co. Pte. Ltd World Scientific Publishing Company, (2003).
4. Wang, X., Bi, Z.: New CAD/CAM course framework in digital manufacturing. Computer applications in engineering education. 27, 128-144 (2019). doi:10.1002/cae.22063.
Prerequisits
- Knowledge of computer-aided design software (CAD).
- Understanding of manufacturing processes and materials science.
- Ability to work independently and in a group.
