The establishment of a WEDM cutting speed model through a series of systematic well-designed experiments

• Main Authors: Hong-Yi Lu, 呂宏毅
• Other Authors: Suhua Hsieh
• Format: Others
• Language: zh-TW
• Published: 2006
• Online Access: http://ndltd.ncl.edu.tw/handle/55115605271833343137

碩士 === 國立臺灣大學 === 機械工程學研究所 === 94 === Discharge manufacture is an important appliance of the molding industry, discharging machining parameter setting influences the quality after the discharge manufacture. Hence, to develop a set of systemic automated adjustment mechanism of artificial intelligence for the discharge machining system is a mutual goal of the industry. To achieve the automated adjustment mechanism, a serious of experiments has to be performed to understand the relationship between the system and the machining parameters. A system mathematical model can then be established. Based on the established model, the cutting conditions can be optimized by the adjustment of the machining parameters. Few researchers have put their effort on the machine tool development through a statistically based experimental design algorithm to perform their experiments, find the important machining parameters, and then establish a mathematical model to describe the machine system. Many past researchers adopted a best-guess or one-factor-at-a-time approach. Taguchi experiment method is widely used because of its easy learning and user friendly interface. Due to the insufficient number of experiments, serious alias phenomenon occurs, and users would not be able to determine the important effects or/and the interactions. Thus, the model established is not reliable. This research intends to adopt the experiment design methodology, and apply its standard procedure to develop a series of systematic experiments. A preliminary, a secondary, and a final stage of experiments will be performed systematically in this study.Through a three-stage well-designed experiments, the important factors and their suitable ranges would be determined, a original fractional factorial designs can be projected into stronger designs, and a larger design can be assembled by the combination of two (or more) fractional factorial designs. Finally, the main effects and their interactions can be assured and a completely replicated full factor experiment design would be obtained. Therefore, a reliable machine system mathematical model can then be established.