[1]胡亚民,郑恒杰.国内外电热镦粗工艺的发展[J]. 模具技术,1989,(3): 72-80.Hu Y M, Zheng H J. Domestic electrical upsetting process development [J]. Mould Technology, 1989,(3): 72-80. [2]胡学根.气门的电镦技术[J].内燃机配件,2006,(2): 19-26.Hu X G. Electric upset forging technology of valve [J]. Internal Combustion Engine Parts, 2006, (2): 19-26. [3]田瑞利.基于机理的BP神经网络在电镦机中加热电流预报模型的研究[D]. 广州: 广东工业大学, 2004.Tian R L. Study of Heating Current Prediction Model in Electric Upsetting BP NN Based on Mechanistic Model [D]. Guangzhou: Guangdong University of Technology, 2004. [4]邝卫华.气门电镦成形过程的数值模拟与实验研究[D]. 广州:广东工业大学,2002. Kuang W H. Study on Valve Upsetting Process Simulation and Experiment [D]. Guangzhou: Guangdong University of Technology, 2002. [5]门正兴.电阻连续加热成形电-热-力耦合试验及模拟[D].重庆:重庆大学,2011.Men Z X. Simulation Analysis and Experimental Research of the Forming Process by Continuous Resistance Heating[D]. Chongqing: Chongqing University, 2011. [6]陈剑,夏巨谌,胡国安,等.基于人工神经网络的气门电镦工艺参数的选择[J].锻压技术,2006,31(5): 36-39.Chen J, Xia J C,Hu G A, et al.Selection of the parameters of electrical upsetting process of valve based on artificial neural networks[J]. Forging & Stamping Technology, 2006, 31(5): 36-39. [7]方静贤. SNCrW钢晶粒度及碳化物的控制研究[J]. 热处理, 2009,24(3): 58-61.Fang J X. Study on controlling austenitic grain size and carbide in SNCrW steel[J]. Heat Treatment, 2009, 24(3): 58-61.
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