Estimation of number of roll passes in roll forming using neural network

Proceedings of the IASTED International Conference on Modelling, Identification, and Control, MIC

Volumn , Issue , 2008, Pages

  Ikeda, Osamu ^a   Ona, Hiroshi ^a   Hoshi, Kiyomasa ^b  

^a TAKUSHOKU UNIVERSITY   (Japan)

^b Sanyo Seiki Co Ltd   (Japan)

Author keywords

Adaptive learning conditions; BP neural networks; Design of cold rolls; Number of roll passes; Roll forming

Indexed keywords

ADAPTIVE LEARNING CONDITIONS; BP NEURAL NETWORKS; FLAT SHEETS; LEARNING DATUM; LEARNING PROCESS; NUMBER OF ITERATIONS; NUMBER OF ROLL PASSES; POTENTIAL PROBLEMS; ROLL-FORMING; SHAPE FACTORS;

EDUCATION; IDENTIFICATION (CONTROL SYSTEMS); ROLL BONDING;

NEURAL NETWORKS;

EID: 77955175708     PISSN: 10258973     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. A. C. Walker (ed.), Design and Analysis of Cold-formed Sections (Intertext Books, London, 1975),
2. H. Ona, T. Jimma, H. Kozono and T. Nakako, "Computer-Aided Design for Cold Roll Forming of Light-Gauge Steel Members", Japan Soc. Mech. Eng. Int'l J. Series I, 33(2), pp. 220-226, 1990
3. th Allied Conference of Technology of Plasticity, paper no. 623, 1994.
4. A. Sedlmaier, U. Semmler, and G. Breitenbach, "FE Simulation of Roll Forming and HF Welding Process in the Production of Welded Tubes," Proc. Nagoya Tube, pp. 203-213, 2007.
5. G. Guosheng, S. Zhu and L. Li, "Re-spring Forecast of Cold Roll-formed Sections Based on BP Neural Networks," Proc. Nagoya Tube, pp. 301-305, 2007.