Huang, J.T.J.T.HuangLiao, Y.S.Y.S.LiaoYUNN-SHIUAN LIAO2020-01-132020-01-13200300207543https://scholars.lib.ntu.edu.tw/handle/123456789/448683Grey relational analyses are applied to determine the optimal selection of machining parameters for the Wire Electrical Discharge Machining (Wire-EDM) process. The Grey theory can provide a solution for a system in which the model is unsure or the information is incomplete. Besides, it provides an efficient solution to the uncertainty, multi-input and discrete data problem. Based on Taguchi quality design concept, an L18 mixed-orthogonal array table was chosen for the experiments. With both Grey relational analysis and a statistical method, it is found that the table feedrate had a significant influence on the metal removal rate, whilst the gap width and surface roughness were mainly influenced by pulse-on time. Moreover, the optimal machining parameters' setting for maximum metal removal rate and minimum surface roughness (or a desired surface roughness or a desired gap width) could be obtained by this approach.Nonlinear programming; Regression analysis; Surface roughness; Machining parameters; Electric discharge machiningreview10.1080/13528160310000749732-s2.0-0242364638https://www.scopus.com/inward/record.uri?eid=2-s2.0-0242364638&doi=10.1080%2f1352816031000074973&partnerID=40&md5=dde309cc0e6887369f638e0ff2fb48f8