Expert systems in manufacturing processes using soft computing

作者: Dilip Kumar Pratihar

DOI: 10.1007/S00170-015-7285-X

关键词:

摘要: This paper presents a review on soft computing- based expert systems developed to establish input-output re- lationships of various manufacturing processes. To determine these relationships, both fuzzy logic- and neural network- approaches were tried. Reasonably good results obtained using the approaches. However, there is chance further improvement results. The scopes for future study have also been discussed.

参考文章(63)
Vikas Upadhyay, K. Hans Raj, Rahul Swarup Sharma, Neuro-fuzzy modeling of hot extrusion process Indian Journal of Engineering and Materials Sciences. ,vol. 16, pp. 86- 92 ,(2009)
Somak Datta, D.K. Pratihar, P.P. Bandyopadhyay, Hierarchical adaptive neuro-fuzzy inference systems trained by evolutionary algorithms to model plasma spray coating process Journal of Intelligent and Fuzzy Systems. ,vol. 24, pp. 355- 362 ,(2013) , 10.3233/IFS-2012-0560
Vidyut Dey, Dilip Kumar Pratihar, G.L. Datta, Forward and reverse modeling of electron beam welding process using radial basis function neural networks International Journal of Knowledge-based and Intelligent Engineering Systems. ,vol. 14, pp. 201- 215 ,(2010) , 10.3233/KES-2010-0202
N. Nagur Babu, R. K. Ohdar, P. T. Pushp, Evaluation of green compressive strength of clay bonded moulding sand mix: neural network and neuro-fuzzy based approaches International Journal of Cast Metals Research. ,vol. 19, pp. 110- 115 ,(2006) , 10.1179/136404606225023354
Ping Li, M.T.C. Fang, J. Lucas, Modelling of submerged arc weld beads using self-adaptive offset neutral networks Journal of Materials Processing Technology. ,vol. 71, pp. 288- 298 ,(1997) , 10.1016/S0924-0136(97)00087-3
Marco A Ramírez-Argáez, None, Numerical Simulation of Fluid Flow and Mixing in Gas-Stirred Ladles Materials and Manufacturing Processes. ,vol. 23, pp. 59- 68 ,(2007) , 10.1080/10426910701524568
S. Mishra, T. DebRoy, Tailoring gas tungsten arc weld geometry using a genetic algorithm and a neural network trained with convective heat flow calculations Materials Science and Engineering A-structural Materials Properties Microstructure and Processing. pp. 477- 486 ,(2007) , 10.1016/J.MSEA.2006.11.149