An Entropy-Deng's Similarity-based technique for Modeling and Optimization of Process Variables for Laser Micro Drilling of Alloy-Ⅹ

摘要

Laser drilling is a typical process for creating micro holes in hard to cut materials. Though this process is fast, the fickle nature of laser beam often leads to a quality drop in the holes. So, it is vital to analyze the process by developing a higher order model. There is also an urge for achieving the optimal combination of variables to produce the best holes without compromising both productivity and accuracy aspects. This work intends to find out the best laser parameter combination that can yield best holes in an Alloy-X material. Four input factors; power, pulse width, pulse frequency & gas pressure and six possible outputs were considered and evaluated. The relative weights of each output were measured by entropy weight method, and performance index of the response was assessed by Deng's Similarity-based technique. Pulse frequency is found to be the most impact factor, and the gas pressure influences the least. Response Surface Methodology is applied to model the performance index. The metallurgical studies done in the microhole explains the thermal effects during machining.