| Summary: | 碩士 === 國立高雄第一科技大學 === 機械與自動化工程所 === 91 === Electrical discharge machining (EDM) has been used widely in the die and mold manufacturing process. But EDM is low efficiency and difficult to be set optimal process parameters, which increase the machining time and cost. Therefore, based on control the effect process variation of working time, geometric shape of working, and filter condition, this study uses dynamic parameter design of Taguchi method coupled with complex shape of electrode for process optimization of robust, extensively, and high precision. Furthermore, the experimental design uses dielectric fluid with added aluminum powder and high electric current, which make the optimal process high machining efficiency.
This study builds the ideal functions on Taguchi method, that include electrode dimension vs. product dimension (dimension vs. dimension), electrode cross-sectional area vs. workpiece machined area (area vs. area), working time vs. material removal depth (time vs. depth), working time vs. material removal volume (time vs. volume). The ideal functions’ purpose of dimension vs. dimension and area vs. area pursues the robust process, high precision of product dimension, and geometric shape. The purpose of time vs. volume and time vs. depth also pursues robust process, and high material removal rate development. Furthermore, this study would build up two double-singles system molds of time vs. volume(first single) to dimension vs. dimension(second single) and time vs. depth(first single) to area vs. area(second single). The purpose of second single adjusts the product dimension and geometric shape on the first single, which makes the double-singles system molds achieving high working speed and accurately machined dimension.
The experimental results show the optimal parameters combination has excellent reproducibility, that it means experiment having a good plan in orthogonal arrays and factors. The four ideal models of study definition successfully have been developed. The design of Taguchi parameter could obtain robust machining characteristic, and the optimal parameters setting also could simplify the manufacturing operation.
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