ARTIFICIAL NEURAL NETWORKS APPLIED TO INVESTIGATION ON SOLID-LIQUID PRESSURE BONDING OF STAINLESS STEEL AND ALUMINIUM

Acta Metall Sin

1996, Vol. 32

Issue (12): 1275-1278 DOI:

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ARTIFICIAL NEURAL NETWORKS APPLIED TO INVESTIGATION ON SOLID-LIQUID PRESSURE BONDING OF STAINLESS STEEL AND ALUMINIUM

ZHANG Peng;CUI Jianzhong;ZHANG Qizhi;DU Yunhui;FU Jiangtao;BA Limin (Northeastern University;Shenyang 110006)(Manuscript received 1996-05-21;in revised form 1996-07-11)

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ZHANG Peng;CUI Jianzhong;ZHANG Qizhi;DU Yunhui;FU Jiangtao;BA Limin (Northeastern University;Shenyang 110006)(Manuscript received 1996-05-21;in revised form 1996-07-11). ARTIFICIAL NEURAL NETWORKS APPLIED TO INVESTIGATION ON SOLID-LIQUID PRESSURE BONDING OF STAINLESS STEEL AND ALUMINIUM. Acta Metall Sin, 1996, 32(12): 1275-1278.

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Abstract Effects of concentration of flux solution,temperature of liquid aluminium,temperature of tools and pressure on shearing strength in solid-liquid pressure bonding of stainless steel and aluminium were investigated by means of artificial neural networks. The optimum bonding parameters were optimized with a genetic algorithm.

Key words: artificial neural network solid-liquid pressure bonding genetic algorithm

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https://www.ams.org.cn/EN/ OR https://www.ams.org.cn/EN/Y1996/V32/I12/1275

1富江涛．东北大学硕士论文,19962HopfieldJJ．ProcNatAcadSciUSA,1982;79:25543PsaltisD,SiderisA,TamanmuyaA．IEEEControlSystMag,1988;8:174严六明,钦佩,李重河．科学通报,1994;39(1):945王殿辉,诸良银．有色金属,1994;46(1):296SongRG,ZhangQZ,TsengMK,ZhangBJ．MaterSciEng,1995;C3:39t

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