可加工性
材料科学
切削液
机械加工
镁合金
刀具磨损
碎屑形成
炸薯条
机械工程
GSM演进的增强数据速率
体积流量
灰色关联分析
汽车工业
冶金
计算机科学
合金
工程类
数学
人工智能
电信
物理
数理经济学
量子力学
航空航天工程
作者
Assem Alshibi,Abdelrahman Nasreldin,Salman Pervaiz
标识
DOI:10.1080/2374068x.2023.2242686
摘要
ABSTRACTLightweight alloys play a vital role in the development of automotive, biomedical and aerospace industries as well as other industrial sectors. The current study investigates the machinability of AZ61 magnesium alloy within a vegetable-oil-based MQL environment through high-speed orthogonal cutting. A tool wear and chip morphology examination are conducted along a full factorial experimentation to allow for adequate machinability testing. The usage of Grey Relational Analysis was invoked to allow for a multi-variant optimisation of input parameters such as MQL flow rate, cutting speed, and feed based on output responses, such as chip compression ratio, chip segmentation ratio, tool-chip contact length, and shear angle as well as tool wear evolution. Through the analysis of the formulated signal-to-noise data, it was found that the optimal cutting parameters were an MQL flow rate of 80 ml/h, cutting speed of 250 m/min and feed of 0.3 mm/rev. The optimal cutting conditions resulted in a Grey Relational Grade improvement of 0.177 as compared to the referenced experimental trail. The analysis of variance further concluded that the feed was the highest contributing input parameter at 38.04% followed by the MQL flow rate and the cutting speed.KEYWORDS: AZ61MQLvegetableorthogonalcuttingmagnesium alloychip Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThe work was supported by the Rochester Institute of technology Dubai.
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