Faculty of Technical Sciences

Subject: Modeling and optimization of machining processes (17.DP045)

General information:
 
Category Scientific-professional
Scientific or art field Processes for Material Removal Processing
ECTS 10

Acquiring advanced knowledge in the field of modeling and optimization of the material removal processes. Development of scientific abilities, academic and practical skills and their applicability in industry. Achieving the ability to independently evaluate contemporary results and achievements in this area, in order to improve and create new predictive models and optimization techniques.

Basic knowledge of modeling and optimization of the material removal processes. Ability to independently solve practical and theoretical problems using the most advanced scientific methods in the field of modeling and optimization. Gaining creative abilities with the aim of further development and application in practice, relevant techniques for modeling and optimization machining processes.

The purpose and importance of modeling and optimization of the material removal processes. Critical assessment of the relevant modeling techniques and their applicability and/or limitations for the prediction of the complex machining operations performed in industry. Two-stage modeling approach of fundamental outputs performances of machining processes. Analytical, empirical, numerical and hybrid modeling methods. Modeling methods based on artificial intelligence and nature inspired methods. Capabilities and limitations of different modeling approaches. Current state-of-the-art in modeling of machining processes. Traditional optimization algorithms (conventional methods). Non-traditional optimization algorithms (non-conventional methods). Capabilities and limitations of different optimization approaches. Current state-of-the-art in optimization of machining processes. Practical examples of modeling and optimization of the machining processes.

Lectures, study research work and consultations. The lectures provide a theoretical part of the material using modern equipment and information and communication technologies. Through lectures, a student acquires and mastered contemporary scientific knowledge, scientific methods and procedures that enable him to become independent research work. In addition to lectures, consultations are also held regularly. Study research work includes all forms of teaching that are in the function of directly training a student for research, writing scientific papers and making a doctoral dissertation. Study research work includes active monitoring of primary scientific sources, organization and execution of numerical simulations and experimental research.

Authors Title Year Publisher Language
Grzesik W. Advanced Machining Processes of Metallic Materials-Theory, Modelling and Applications 2008 Elsevier Science Ltd English
Rao R. V. Advanced Modeling and Optimization Manufacturing Processes 2011 Springer-Verlag London Limited English
Armarego E. J. A., Jawahir I. S., Ostafiev V. A., Venuvinod P. K. Modeling of Machining Operations 1996 CIRP Working Group Paper, STC-C Paris, France English
Arrazola P.J., Özel T., Umbrello D., Davies M., Jawahir I.S. Recent advances in modelling of metal machining processes 2013 CIRP Annals - Manufacturing Technology 62 English
Miller, R.K., Walker, T.C. Artificial Intelligence Applications in Manufacturing 1988 SEAI Technical Publications, THE Failmont Press, Madison English
Kapurin, J.N. Mathematical modelling 1988 John Wiley & Sons, New York English
Cus F. Modeling and optimization of metal cutting 2005 Faculty of Mechanical Engineering, Maribor English
Course activity Pre-examination Obligations Number of points
Oral part of the exam No Yes 50.00
Project Yes Yes 50.00
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Prof. Sekulić Milenko

Full Professor

Lectures
API Image

Prof. Sekulić Milenko

Full Professor

Study research work

Faculty of Technical Sciences

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© 2024. Faculty of Technical Sciences.