Hybrid computer system for the design of flat rolling technology – case study for multiphase steel
Łukasz Rauch
AGH – University of Science and Technology, Mickiewicza 30, 30-059 Kraków, Poland.
DOI:
https://doi.org/10.7494/cmms.2012.3.0398
Abstract:
Creation of the system for optimization of semi product and product properties in metal forming industry was the objective of the paper. This system is demonstrated in application to Advanced High Strength Steels (AHSS), which are innovative materials used by automotive industry. The hybrid computer system joins functionality of numerical simulations, material modelling and optimization to minimize costs related to design of production technologies and maximize semi and final product properties. The paper presents design and functionality of this system, which includes all mentioned functional modules for the design of flat rolling technology. The architecture of the proposed system is described in details, as well as material models applied in numerical simulations. The system was validated and tested using optimization of multiphase cycle of rolling of complex phase steel strip as an example.
Cite as:
Rauch, Ł. (2012). Hybrid computer system for the design of flat rolling technology – case study for multiphase steel. Computer Methods in Materials Science, 12(3), 218 – 224. https://doi.org/10.7494/cmms.2012.3.0398
Article (PDF):
Keywords:
Hybrid computer system, Numerical simulations, Multiphase steel
References:
Cheng, K., Harrison, D.K., Pan, P.Y., 1998, Implementation of agile manufacturing – AI and Internet based approach. Journal of Material Processing Technology, 76, 96-101.
Garbarz, B., Burian, W., Wozniak, D., 2012, Semi-industrial simulation of in-line thermomcchanical processing and heat treatment of nano-duplex binite-austenite steels. Steel Research International, spec, issue conf. Metal Forming, 1251-1254.
Giachetti, R.E., 1998, A decision support system for material and manufacturing process selection, Journal of Intelligent Manufacturing, 9, 265-276.
Halevi, G, Wang, K., 2007, Knowledge based manufacturing system (KBMS), Journal of Intelligent Manufacturing. 18,467-474.
Koistinen, D.P., Marburger. R.E.. 1959, A general equation prescribing the extent of the austenite-martensite transformation in pure iron-carbon alloys and plain carbon steels, Acta Metallurgica, 7, 59-69.
Lenard, J.G., Pietrzyk, M., Cser, L., 1999, Mathematical and physical simulation of the properties of hot rolled products, Elsevier, Amsterdam.
Mahl, A., Krikler, R., 2007, Approach for a rule based system for capturing and usage of knowledge in the manufacturing industry, Journal of Intelligent Manufacturing, 18, 519-526.
McKey, K.N., Black, G.W., 2007, The evolution of a production planning system: A 10-year case study, Computers in Industry, 58, 756-771.
Pietrzyk, M., Kuziak, R., 2012, Modelling phase transformations in steel, in: Microstructure evolution in metal forming processes, (eds), Lin, J., Balint, D., Pietrzyk, M., Woodhead Publishing, Oxford, 145-179.
Rauch, L., Gołąb, R., Kuziak, R., Pidvysots’kyy, V., Pietrzyk, M., 2012, Zastosowanie komputerowego systemu eksperckiego do projektowania technologii walcowania na gorąco blach w LPS, Prace IMŻ, 1, 104-109 (in Polish).
Sellars, C.M., 1979, Physical metallurgy of hot working, in: Hot working and forming processes, (eds), Sellars, CM., Davies, G.J., The Metals Soc., London, 3-15.