Some engineering applications of ANN in CAD

• Autorzy: Kiczkowiak, T. , Grymek, S.
• Języki publikacji: EN

Abstrakty

EN

A theory of the Computer Aided Design systems (CAD) has been one of the main targets of our research for many years. Generally CAD software is used for algorithmic tasks: calculations (e.g. optimisation or simulation), storage and searching for data in databases and edition of drawings and texts. However, many tasks are unsupported. Recently, a feasibility of Artificial Intelligence (AI) to improve CAD systems, especially Artificial Neural Networks (ANN), has been widely considered. This paper presents application of ANN: for calculation and selection of pneumatic control valve in optimisation of pneumatic driving system and in optimisation of seat suspension system. It is argued that the proposed technique is better than any other commercial method, since in both the optimisation of pneumatic driving system and the optimisation of seat suspension system the optimisation process was many times shorter providing equally valuable optimisation task solutions. In conclusion, it is postulated that ANNs give an opportunity to create improved CAD systems.

Słowa kluczowe

PL

sztuczna sieć neuronowa; pneumatyka; system CAD; komputerowe wspomaganie projektowania

EN

artificial neural networks; computer-aided design; pneumatics

• Czasopismo: Management and Production Engineering Review
• Rocznik: 2010
• Tom: Vol. 1, No. 2
• Strony: 32-37
• Opis fizyczny: Bibliogr. 12 poz., rys., tab.

Twórcy

autor

Kiczkowiak, T.

autor

Grymek, S.

• Koszalin University of Technology, Institute of Mechatronics, Nanotechnology and Vacuum Technique, Racławicka 15-17, 75-620 Koszalin, Poland, phone: [phone],

Bibliografia

• [1] Tarnowski W., Basis of technical designing, In series: Computer Aided Design CAD CAM, WNT Warszawa 1997 (in Polish).
• [2] Grymek Sz., Kiczkowiak T., Assessment of feasibility of traditional methods of calculation of pneumatic devices in CAD systems, Proceedings of Faculty of Mechanical Engineering no 23 Technical University of Koszalin 1998 (in Polish).
• [3] Grymek Sz., Kiczkowiak T., Computer module for aiding calculation and selection of pneumatic devices from the catalogue, Proceedings of XI Conference “PNEUMA’98”, Koszalin (in Polish).
• [4] Gerc E.W., Pneumatic drives, Theory and calculations, WNT Warszawa 1973 (in Polish).
• [5] Grymek Sz., Kiczkowiak T., Application of ANN to the Selection of a Valve from the Catalogue, International Conference on Artificial Neural Networks ICANN’98, Skovde, Sweden, in Springer - Verlag’s series: Perspectives in Neural Computing, pp. 851-856, London 1998.
• [6] Grymek Sz., Kiczkowiak T., Selection of a Pneumatic Valve. Neural Approach, Proceedings of Tenth World Congress on the Theory of Machines and Mechanisms, Oulu, Finland 1999.
• [7] Grymek Sz., Kiczkowiak T., Neural Models of Dynamic Plants in Optimisation, IV Conference “Neural Networks and Their Applications” Zakopane, Poland 1999.
• [8] Chamera S., Maciejewski I., Krzyżyński T., Modelling of a vehicle seat suspension system with pneumatic spring and viscous dampers, PAMM, Wiley - VCH publishing house, Volume 7, Issue 1, Date: December 2007.
• [9] Maciejewski I., Kiczkowiak T., Krzyżyński T., On optimisation of pneumatic circuit of seat suspension, Logistyka 3/2009 (CD publication).
• [10] Maciejewski I., On modelling of working machines seat suspension, Logistyka 3/2009 (CD publication).
• [11] Maciejewski I., Meyer L., Krzyżyński T., Modelling and multi-criteria optimisation of passive seat suspension vibro-isolating properties, Journal of Sound and Vibration 2000, doi:10.1016/j.jsv.2009.02.021.
• [12] Grymek Sz., Kiczkowiak T., Maciejewski I., Differential models versus neural models in optimisation, Polish Journal of Environmental Studies, Vol. 18, No 4B (2009), ISSN 1230-1485.