Modeling and optimization of Nd : YAG laser micro-weld process using Taguchi Method and a neural network

作者：Lin Hsuan Liang^*; Chou Chang Pin

来源：International Journal of Advanced Manufacturing Technology, 2008, 37(5-6): 513-522.

DOI：10.1007/s00170-007-0982-3

• Nd
• YAG laser welding
• neural network
• Taguchi method

The use of a pulsed Nd:YAG laser in the 0.1 mm- thick aluminum alloy lap micro-weld process was optimized. The welding parameters that influence the quality of the pulsed Nd:YAG laser lap micro-weld were evaluated by measuring of the tensile-shear strength. In this work, the Taguchi method was adopted to perform the initial optimization of the pulsed Nd:YAG laser micro-weld process parameters. A neural network with a Levenberg-Marquardt back-propagation (LMBP) algorithm was then adopted to develop the relationships between the welding process parameters and the tensile-shear strength of each weldment. The optimal parameters of the pulsed Nd:YAG laser micro-weld process were determined by simulating parameters using a well-trained back-propagation neural network model. Experimental results illustrate the proposed approach.

• 出版日期2008-5
• 单位清华大学