H Faisal M, Krishnan A Mohana, Prabagaran S, Venkatesh R, Kumar D Satish, Christysudha J, Seikh A H, Iqbal A, Ramaraj Elangomathavan
Department of Mechanical Engineering, Ilahia College of Engineering and Technology, Mulavoor, 686673, Kerala, India.
Department of Mechanical Engineering, K.Ramakrishnan College of Engineering, Trichy, 621112, Tamilnadu, India.
Heliyon. 2023 Jul 28;9(8):e18807. doi: 10.1016/j.heliyon.2023.e18807. eCollection 2023 Aug.
The aluminium alloy (AA1100) was familiar with automotive flexible shaft coupling applications due to its high strength, good machinability, and superior thermal and resistance to corrosion characteristics. Machining tool life drives the prominent role for deciding the product quality (machining) act aims to productivity target with zero interruptions. The novelty of this present investigation is the focus on increasing tool life during the complexity of CNC turning operation for AA1100 alloy by using CBN coated insert tool with varied input parameters of spindle speed (SS), feed rate (f), and depth of cut (DOC). Design of experiment (L16), analysis of variance (ANOVA) statistical system adopted with response surface methodology (RSM) is implemented for experimental analysis. The turning input parameters of SS, f and DOC are considered as factors and its SS (900, 1100, 1300, and 1500 rpm), f (0.1, 0.15, 0.2, and 0.25), and DOC (0.1, 0.2, 0.3, and 0.4 mm) values are treated as levels. The investigational analysis was made with the ANOVA technique and the desirability of high tool life with input turning parameters was optimized by RSM, and sample no 11/16 was predicted as high tool life and performed with extended working hours compared to other samples. The RSM optimized best turning parameter combinations are 0.1 mm DOC, 0.2mm/rev to 0.25mm/rev f, and 1300 rpm-1500 rpm SS, facilitating a higher tool life of more than 20min.
铝合金（AA1100）因其高强度、良好的可加工性以及卓越的耐热和耐腐蚀特性而常用于汽车挠性联轴器应用。刀具寿命对于决定产品质量（加工）起着关键作用，其目标是以零中断实现生产效率目标。本研究的新颖之处在于，通过使用立方氮化硼涂层刀片刀具并改变主轴转速（SS）、进给速度（f）和切削深度（DOC）等输入参数，着重提高AA1100合金数控车削操作复杂性期间的刀具寿命。采用实验设计（L16）、方差分析（ANOVA）统计系统以及响应面方法（RSM）进行实验分析。将SS、f和DOC等车削输入参数视为因素，其SS（900、1100、1300和1500转/分钟）、f（0.1、0.15、0.2和0.25）以及DOC（0.1、0.2、0.3和0.4毫米）的值作为水平。使用ANOVA技术进行研究分析，并通过RSM优化具有高刀具寿命的输入车削参数，预测样本11/16具有高刀具寿命，与其他样本相比工作时间更长。RSM优化的最佳车削参数组合为0.1毫米DOC、0.2毫米/转至0.25毫米/转的f以及1300转/分钟 - 1500转/分钟的SS，可使刀具寿命超过20分钟。
