Research and Application of Laser Micro Drilling and Profile Cutting
Dr. Pi-Ying Cheng
|關鍵字:||微孔加工;雷射鑽孔;類神經網路;Laser Micro Drilling Technology;Neural Network|
Modern electrical products display itself with the feature of not only versatile but also miniature. The request of the product creation force to develop more complicated integrated circuits and multiple layers Printed Circuit Board, PCB. Laser micro drilling technology can provide flexible, high speed, precise manufacturing process has become the most popular drilling technology, especially in small hole (< 1 mm diameter) drilling of electrical industry. But laser micro drilling technology also has some manufacturing problems such as hole tapering, barreling, surface debris and nonuniform hole diameter. These defects are the results of unsuitable drilling parameters. How to search for the correct operating parameters and then improving the qualities is the aim of the research. Generally, laser micro drilling process has about seven parameters to be properly adjusted, and the correlations between these parameters are nonlinear and complicated. It is difficult for a fresh engineer to be familiar with the operation in a short time. This paper reports an investigation of the quality control technique of laser micro drilling process. First, using the One-Factor-at-a-Time experiments, we can decide the levels of parameters. Second, adopting the Full Factorial experiment, we can get the training sets of neural network. Third, using training sets and neural network to find the mathematical model between parameters and machining qualities. Finally, by the calculation of neural network, we can find the optimal parameters of the laser micro drilling process. The result of the study can assist to generate the feasible parameters of laser micro drilling machine and improve the quality of the product.