ABSTRACT

Machining of difficult to cut materials at advanced range of machining variable is the requirement of industry 4.0 for achieving sustainable machining goals taking into consideration energy, ecology and economy. However, due to lack of information on the machining data the material is regarded as difficult to cut. Therefore, to enhance the machining performance of Hastelloy C-276 the experimental investigations have been conducted at different levels of input parameters using CNMG120408 cutting inserts under various cooling conditions. The RSM-based CCD approach has been used to to generate the design of experiment along with ANOVA analysis for finding the influence of input factors on the output signal. Investigations results exhibited that the less cutting temperature, better surface quality and lower chip reduction coefficient have been reported in vegetable oil MQL machining. Research pointed out that the S.R. is influenced by cutting speed, doc, cooling environments and feed rate; likewise the impact has been reported for cutting temperature, while the CRC is less dominated by doc compared to other parameter. The percentage errors evaluated for S.R, temperature and CRC have been reported as 0.53%, −1.52% and 1.81% indicates the significance of developed model.

摘要

在先进的加工变量范围内加工难切削材料是工业 4.0 实现可持续加工目标的要求，同时考虑到能源、生态和经济。然而，由于缺乏有关加工数据的信息，该材料被认为难以切割。因此，为了提高哈氏合金 C-276 的加工性能，在不同的冷却条件下使用 CNMG120408 切削刀片在不同水平的输入参数下进行了实验研究。基于 RSM 的 CCD 方法已用于生成实验设计以及 ANOVA 分析，以发现输入因素对输出信号的影响。调查结果表明，切削温度越低，据报道，在植物油 MQL 加工中具有更好的表面质量和更低的切屑减少系数。研究指出，SR受切削速度、文档、冷却环境和进给率的影响；同样，已经报告了对切削温度的影响，而与其他参数相比，CRC 较少受 doc 的影响。对 SR、温度和 CRC 评估的百分比误差已报告为 0.53%、-1.52% 和 1.81%，表明开发模型的显着性。