Bi-objective Optimization of Process Parameters in Electric Discharge Machining of SS630 Using Grey Relation Analysis
نویسندگان
چکیده
One of the most former and widely utilized unconventional machining is known as process electric discharge (EDM). This a procedure, where serialized set discharges are applied to eliminate material from workpiece (i.e., electrically conductive). article proposes bi-objective optimization arguments in stainless steel 630 (SS630) grade using both experimentation thermal investigation. Here, flushing pressure ( P F ), pulse on-time id="M2"> T ON peak current id="M3"> I p off-time id="M4"> OFF ) assumed input parameters conduct series experiments on die-sinking EDM (DS-EDM) SS630 predict output characteristics grey relation analysis (GRA). Both removal rate (MRR) surface roughness (SR) used for evaluating response obtained performance. In addition, investigation performed finite element method (FEM) compute theoretical MRR (T-MRR) distribution temperature workpiece. Further, GRA employed obtain optimal parameter combination best responses. From confirmation test results, approach at id="M5"> = 6 A , id="M6"> 35 μ s id="M7"> 90 id="M8"> 4 MPa .
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ژورنال
عنوان ژورنال: Journal of Nanomaterials
سال: 2022
ISSN: ['1687-4110', '1687-4129']
DOI: https://doi.org/10.1155/2022/1165750