Controlling laser surface strengthening process based on artificial neural network
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Received Date:
2002-11-17
Accepted Date:
2003-03-18
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Abstract
Experiments show that metal surface properties may produce four results through laser strengthening treatment,i.e.non-transformation hardening,transformation hardening,shallow melt and melt.After analysis,the relationships between the four classifications and laser processing parameters,such as laser power,laser processing beam diameter,laser scanning velocity,have been established based on artificial neural network.HT300 experiments show that laser processing parameters can be chosen conveniently and material surface quality can be controlled effectively.
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References
|
[1]
|
关振中.激光加工工艺手册.北京:中国计量出版社,1998:211～231.
|
|
[2]
|
王大承,史晓强,张永康 et al.电加工与模具,2001(2):9～13.
|
|
[3]
|
李俊昌.激光热处理优化控制研究.北京:冶金工业出版社,1995:13～45.
|
|
[4]
|
Mazumder J,Steen W M.Appl Phys,1980,51(2):941～947. |
|
[5]
|
Basu B,Date A W.Heat Mass Transfer,1990,33(6):1149～1163. |
|
[6]
|
徐佐仁,许国桢.上海交通大学学报,1991(2):57～64.
|
|
[7]
|
李俊昌,谢瓦利埃 R,兰热 J M.中国激光,1997(7):665～672.
|
|
[8]
|
虞钢,安永强,胡幼娟.中国激光,2000(10):934～936.
|
|
[9]
|
吴钢,石娟,戴忠森.应用激光,1999(3):112～114.
|
|
[10]
|
Chan C H.Metallurgical Transactions A,1984,15:719～728. |
|
[11]
|
Mazumder J.Journal of Metals,1983,35(5):18～26. |
|
[12]
|
陈君才,曹建春.昆明理工大学学报,1997(4):27～32.
|
|
[13]
|
刘江龙,邹至荣,苏宝女容.高能束热处理.北京:机械工业出版社,1997:88～215.
|
|
[14]
|
王大承.金属热处理,2001(11):23～25.
|
|
[15]
|
张际先,宓霞.神经网络及其在工程中的应用.北京:机械工业出版社,1996:68～120.
|
|
[16]
|
闻新,周霞,王丹力 et al.MATLAB神经网络应用设计.北京:科学出版社,2000:88～266.
|
|
[17]
|
王大承.应用激光,2001(6):403～406.
|
|
[18]
|
王大承.激光技术,2002(6):474～477.
|
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