Abas Muhammad, Salah Bashir, Khalid Qazi Salman, Hussain Iftikhar, Babar Abdur Rehman, Nawaz Rashid, Khan Razaullah, Saleem Waqas
Department of Industrial Engineering, University of Engineering and Technology, Peshawar 25120, Pakistan.
Industrial Engineering Department, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi Arabia.
Materials (Basel). 2020 Sep 29;13(19):4327. doi: 10.3390/ma13194327.
Precise, economical and sustainable cutting operations are highly desirable in the advanced manufacturing environment. For this aim, the present study investigated the influence of cutting parameters (i.e., the cutting speed (), feed rate (), depth of cut () and positive rake angle ()) and sustainable cutting conditions (dry and minimum quantity lubricant (MQL)) on cutting forces (i.e., feed force (F), tangential forces (F), radial force (F) and resultant cutting forces (F) and shape deviations (i.e., circularity and cylindricity) of a 6026-T9 aluminum alloy. The type of lubricant and insert used are virgin olive oil and uncoated tungsten carbide tool. Turning experiments were performed on a TAKISAWA TC-1 CNC lathe machine and cutting forces were measured with the help of a Kistler 9257B dynamometer. Shape deviations were evaluated by means of a Tesa Micro-Hite 3D DCC 474 coordinate measuring machine (CMM). Experimental runs were planned based on Taguchi mixture orthogonal array design L16. Analysis of variance (ANOVA) was performed to study the statistical significance of cutting parameters. Taguchi based signal to noise (S/N) ratios are applied for optimization of single response, while for optimization of multiple responses Taguchi based signal to noise (S/N) ratios coupled with multi-objective optimization on the basis of ratio analysis (MOORA) and criteria importance through inter-criteria correlation (CRITIC) are employed. ANOVA results revealed that feed rate, followed by a depth of cut, are the most influencing and contributing factors for all components of cutting forces (F, F, F, and F) and shape deviations (circularity and cylindricity). The optimized cutting parameters obtained for multi responses are = 600 m/min, = 0.1 mm/rev, = 1 mm and = 25°, while for cutting conditions, MQL is optimal.
在先进制造环境中,精确、经济且可持续的切削操作是非常理想的。为此,本研究调查了切削参数(即切削速度()、进给速率()、切削深度()和正前角())以及可持续切削条件(干式和微量润滑(MQL))对6026-T9铝合金切削力(即进给力(F)、切向力(F)、径向力(F)和合成切削力(F))以及形状偏差(即圆度和圆柱度)的影响。所使用的润滑剂类型和刀片是初榨橄榄油和未涂层的硬质合金刀具。在TAKISAWA TC-1数控车床上进行了车削实验,并借助奇石乐9257B测力计测量切削力。通过Tesa Micro-Hite 3D DCC 474坐标测量机(CMM)评估形状偏差。基于田口混合正交阵列设计L16规划实验运行。进行方差分析(ANOVA)以研究切削参数的统计显著性。基于田口的信噪比(S/N)用于单响应优化,而对于多响应优化,则采用基于田口的信噪比(S/N)并结合基于比率分析(MOORA)的多目标优化和基于准则间相关性(CRITIC)的准则重要性。方差分析结果表明,进给速率是影响切削力所有分量(F、F、F和F)和形状偏差(圆度和圆柱度)的最主要因素,其次是切削深度。多响应优化得到的切削参数为 = 600 m/min, = 0.1 mm/rev, = 1 mm, = 25°,而对于切削条件,微量润滑是最优的。