인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
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지원사업
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커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 저자정보
피인용 0
초록·키워드
Turning is one of the precise machining processes, which are widely used at present for many industrial applications. Titaniumalloy Ti6Al4V is widely implemented in the field of aerospace, structural, automotive and biomedical applications. In thisstudy, the most significant factor of Cutting Force, Cutting Temperature and Material Removal Rate is considered the mostresponsible for determining the desirable input factors to the titanium Ti6Al4V alloy in the turning process. Initially, the designof the experiment was conducted for speed, cutting feed, axial depth of cut and the environmental eco-friendly coolant oilconcentration of Multi-Walled Carbon Nanotubes nano-fluid are input parameters of machining process were studied inturning of titanium Ti6Al4V alloy to achieve sustainable production. Desirability Function Analysis was used to predict themathematical model and ANOVA was used to analyze the contribution percentages of the machining parameters. Since theinfluence of the machining parameters of the Cutting Force, Tool Temperature and Material Removal Rate are conflicting innature; the problem was considered a Multi-objective evaluator algorithm-based analysis of the problem. Hence, DesirabilityFunction Analysis was adapted to predict the optimal set of input parameters. The interactive plots reveal that MWCNT’snanofluid improves the result in terms of the maximum rate of removed material with minimum cutting force and cuttingtemperature. Based on multi-objective optimizations of RSM based DFA the optimal results confirm that 1% of MWCNT’sconcentration reduces the cutting temperature and improves the removal of material when MWCNTs are used as cutting fluid.
본문·목차
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