Faculty of Technical Sciences

Subject: Intelligent Process Planning (17.P315)

Native organizations units: Department of Production Engineering, Chair of Computer Aided Technological Systems and Design
General information:
 
Category Professional-applicative
Scientific or art field Technological Processes, Techno-Economic Optimization and Virtual Design
ECTS 5

Students learn to design intelligent manufacturing process planning of product applying advanced methods and techniques.

The knowledge acquired allow the use of modern methods and techniques in development of intelligent and integrated CAPP systems.

The aim, importance and content of course. Basis of design intelligent manufacturing process planning. Basis using artificial intelligence methods in process planning. Feature-based methods and technological preparation. Multi-criteria optimization and selection of products, processes and resources. Applications of expert systems in developing CAPP systems. Application of neural networks, fuzzy logics and genetic algorithms in defining and optimization the selection of elements process planning. Application of agent and multi-agent methods for manufacturing process planning. Application of STEP and STEP-NC standard in the integration of CAD/CAPP/CAM/CNC and other CAx systems. Metaheuristiic methods in process planning and scheduling. Modern intelligent system. Application of artificial intelligence in modeling and simulation process planning and structure forming of manufacturing systems. Intelligent process planning as a part of virtual manufacturing, collaborative engineering and e-manufacturing.

Teaching is performed in the form of lectures and computer exercices, consultations and company visits. Within theoretical lectures, part is presented with appropriate practical examples. Within computer pratical classes performed training students in the application of inforamtion technology through practical examples, as well as the development of the projects and seminary works. Colloquia are written in the form of the test. In order to extend the practical knowledge made visits to the respective companies. Besides, regularly consultations are held in order to move closer teaching material and making appropriate projects and seminary works.

Authors Title Year Publisher Language
Scallan, P. Process planning: The Design/Manufacture Interface 2003 MA: Butterworth-Hienemann, Boston English
Ros, T.J. Fuzzy logic with engineering applications 2004 John Wiley&Sons, Ltd, Chichester English
Xu, X. Integrating Advanced Computer-Aided Design, Manufacturing, and Numerical Control 2009 Information Science Reference, New York English
Kuric, I. Computer Aided Process Planning in Machinery Industry 1999 Filia Politechniki todzkiey, Bielsko-Biata English
Wang, L., Nee, Y.C.A. Collaborative Design and Planning for Digital Manufacturing 2009 Springer-Verlag, London Ltd. English
Gonzales, T.F. Handbook of approximation algorithms and metaheuristics 2007 Boca Raton [etc.]: Chapman & Hall/CRC English
Course activity Pre-examination Obligations Number of points
Coloquium exam No Yes 20.00
Project Yes Yes 30.00
Exercise attendance Yes Yes 5.00
Term paper Yes Yes 20.00
Coloquium exam No Yes 20.00
Lecture attendance Yes Yes 5.00
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Prof. Milošević Mijodrag

Full Professor

Lectures
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Prof. Lukić Dejan

Full Professor

Lectures
API Image

Prof. Lukić Dejan

Full Professor

Computational classes
API Image

Prof. Milošević Mijodrag

Full Professor

Computational classes

Faculty of Technical Sciences

© 2024. Faculty of Technical Sciences.

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(+381) 21 6350 413

Fax : (+381) 21 458 133
Emejl: ftndean@uns.ac.rs

© 2024. Faculty of Technical Sciences.