1) To receive basic knowledge about testing of machine tools and machining systems. 2) To receive basic knowledge about methods for machining system optimization. 3) To receive practical knowledge about virtual machining systems. 4) To receive training in testing procedures and optimization methods for machine tools and machining systems. 5) To know how to make technical projects.

Upon successful completion of this course Students should be able to: 1. They plan and implement methods for testing machine tools and manufacturing systems. 2. Apply methods to optimize the machining system. 3. Configure virtual machining systems in the field of digital technology. 4. Make a choice to carry out integrated testing procedures and optimization methods for machine tools and machining systems. 5. Prepare by Technical Elaborate and reports about testing and optimization of the machining system.

New teaching contents: 1) Testing of machine tools and machining systems. 2) Methods for machining system optimization. 3) Virtual machining system and digital manufacturing. 4) Integrated methods for testing and optimization of machine tools and machining systems. 5) Modal analysis. Elaboration of new teaching contents and instructions for doing the tasks: 1) Planning of one complex machining system testing. 2) Analysis of machining systems optimizations methods. 3) Examples of simulations in virtual machining system. 4) Examples of integrated methods for machine tools and machining systems optimization. 5) Examples of basic modal analysis.

Practical teaching involves laboratory work in Laboratory for machine tools and machining systems, and seminar work writing. Planned experiments are carried out in the Laboratory with finishing the reports. These reports are a part of the seminar work.

Study curriculum and student motivation for learning about testing and optimization of machine tools according to the goals set and outcomes offered.

Laboratory for machine tools and machining systems, which includes both hardware and software: 1) Different kinds of sensors (accelerometers, dynamometers etc.). 2) The systems for experimental data conditioning and acquisition. 3) Software for experimental data processing. 4) The systems for laboratory testing of machine tools accuracy. 5) The system for circular interpolation test. 6) Test bed for identifying parameters of mechanistic cutting forces models. 7) Test bed for cutting process optimization, feed scheduling, and integrated simulation of machine tool and process. 8) Software for virtual machining system simulations. 9) Test bed for parallel kinematics machine tools. 10) Test bed for configuring and programming of modular open architecture machine tools(MOMA). 11) Test bed for the STEP-NC protocol based programming of CNC machines. 12) Hardware needed for basic modal analysis (modal hammer, accelerometers etc.). 13) Software for basic modal analysis. 14) Functional simulator of the rapid prototyping machine tool. 15) Software for basic optimization of machine tools structures.

Total assigned hours: 65

New material: 30
Elaboration and examples (recapitulation): 20

Auditory exercises: 0
Laboratory exercises: 0
Calculation tasks: 0
Seminar paper: 0
Project: 0
Consultations: 0
Discussion/workshop: 0
Research study work: 0

Review and grading of calculation tasks: 0
Review and grading of lab reports: 0
Review and grading of seminar papers: 10
Review and grading of the project: 0
Test: 0
Test: 0
Final exam: 5

Activity during lectures: 0
Test/test: 0
Laboratory practice: 0
Calculation tasks: 0
Seminar paper: 70
Project: 0
Final exam: 30
Requirement for taking the exam (required number of points): 50

R. V. Rao, V.J. Savsani, Mechanical Design Optimization Using Advanced Optimization Techniques, Springer, 2012, ISBN 978-1-4471-2747-5.; P. W. Christensen, A. Klarbring, An Introduction to Structural Optimization, Springer, 2009, ISBN 978-1-4020-8665-6.; Z. Zhou, S. (Shengquan) Xie, D. Chen, Fundamentals of Digital Manufacturing Science, Springer, 2012, ISBN 978-0-85729-563-7. ; W. Ahmed, K. A. Raouf, K. Cheng, Virtual Manufacturing, Springer, 2011, ISBN 978-0-85729-185-1.; X. Xu, Integrating Advanced Computer-Aided Design, Manufacturing, and Numerical Control: Principles and Implementations, Information Science reference, 2009, ISBN 978-1-59904-714-0.