Singh Gurpreet, Aggarwal Vivek, Singh Sehijpal, Singh Balkar, Sharma Shubham, Singh Jujhar, Li Changhe, Ilyas R A, Mohamed Abdullah
Department of Mechanical Engineering, IKGPTU Main Campus, Kapurthala 144603, Punjab, India.
Department of Mechanical Engineering, Guru Nanak Dev Engineering College, Ludhiana 141006, Punjab, India.
Materials (Basel). 2022 Aug 8;15(15):5451. doi: 10.3390/ma15155451.
Smart manufacturing is the demand of industry 4.0, in which the mass production of difficult-to-cut materials is of great concern to fulfil the goal of sustainable machining. Presently, the machining of superalloy is of upmost interest because of its wide application. However, the limited data on the turning of Hastelloy C-276 highlights its challenges during processing. Hence, the machining performance of superalloy considering surface quality, thermal aspects and chip reduction coefficient was examined with minimum quantity lubrication of several oils to address the sustainable development goal (SDG-12). The output responses were optimized through response surface methodology along with analysis of variance. The research exhibited that the output responses were dominated by cutting speed and feed rate having a percentage benefaction of 24.26% and 60%, respectively, whilst the depth of cut and lubricant type have an influence of 10-12%. No major difference in temperature range was reported during the different lubrication conditions. However, a substantial variation in surface roughness and the chip reduction coefficient was revealed. The percentage error evaluated in surface roughness, temperature and chip reduction coefficient was less than 5%, along with an overall desirability of 0.88, describing the usefulness of the model used. The SEM micrograph indicated a loss of coating, nose and flank wear during all lubrication conditions. Lastly, incorporating a circular economy has reduced the economic, ecological and environmental burden.
智能制造是工业4.0的需求，其中难切削材料的大规模生产对于实现可持续加工目标至关重要。目前，由于其广泛应用，高温合金的加工备受关注。然而，关于哈氏合金C-276车削的有限数据凸显了其加工过程中的挑战。因此，考虑到表面质量、热方面和切屑减少系数，通过对几种油进行微量润滑来研究高温合金的加工性能，以实现可持续发展目标（SDG-12）。通过响应面法和方差分析对输出响应进行了优化。研究表明，输出响应主要受切削速度和进给率的影响，其贡献率分别为24.26%和60%，而切削深度和润滑剂类型的影响为10-12%。在不同润滑条件下，未报告温度范围有重大差异。然而，表面粗糙度和切屑减少系数有显著变化。表面粗糙度、温度和切屑减少系数的评估百分比误差小于5%，总体可取性为0.88，说明了所用模型的有效性。扫描电子显微镜照片显示在所有润滑条件下涂层均有损失、刀尖和后刀面磨损。最后，纳入循环经济减少了经济、生态和环境负担。
