使用配方切削液车削 AISI 1020 低碳钢时切削参数的评估和多目标优化

Osayamen Gregory Ehibor, Mathew Sunday Abolarin, M. B. Ndaliman, Aliyu Alhaji Abdullahi
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摘要

切削液等输入参数是实现最小表面粗糙度、切削温度、刀具磨损和最佳材料去除率以及提高加工性能和生产率的必要条件之一。在使用环保型切削液车削 AISI 低碳钢时,对表面粗糙度、材料去除率、切削温度和刀具磨损的最佳因素进行评估。在研究领域,全球范围内都在关注传统润滑液的不可生物降解性和不可回收性。这促使研究人员对用环保切削液(如蓖麻油基切削液 (CBCF))取代矿物油基切削液产生了兴趣。研究人员对当地采购的蓖麻籽油的理化特性及其脂肪酸组成(FAC)进行了调查。切削液的配制比例是油和添加剂与蒸馏水的比例为 1:9,然后进行表征。在车削 AISI 1020 低碳钢时,采用田口试验设计和灰色关系分析法(GRA)进行多响应优化,评估了 CBCF 与矿物油基切削液(MBCF)相比的表面粗糙度、材料去除率、切削温度和刀具磨损情况。结果表明,配制的切削液 pH 值为 8.47,粘度为 0.830 mm2/s,具有良好的耐腐蚀性和稳定性,颜色为牛奶鱼色。根据 GRA,CBCF 下的多响应优化因素组合为(1250 转/分钟)主轴转速、(0.6 毫米/转)进给速度和(1.0 毫米)切削深度,均处于第 3 级;而 MBCF 下的多响应优化因素组合为(1250 转/分钟)主轴转速、(0.6 毫米/转)进给速度和(1.0 毫米)切削深度,均处于第 3 级。Taguchi 和 GRA 得出的参数结果与其他植物油基液体得出的结果一致,这项研究也有助于提高机械加工的科学性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation and Multi-Objective Optimisation of Cutting Parameters in Turning of AISI 1020 Mild Steel using Formulated Cutting Fluid
Input parameter like the cutting fluid is one of the requirements for minimal surface roughness, cutting temperature, tool wear and optimal material removal rate coupled with improved machinability and productivity. The evaluation of the optimal factors of surface roughness, material removal rate, cutting temperature and tool wear in the turning of AISI Mild Steel with the use of eco-friendly fluids. Concerns has been raise globally about the non - biodegradability and non-recyclability of the conventional fluids in the research space. This prompted the research interest in replacing the mineral oil based fluids with eco-friendly cutting fluid such as castor seed oil based cutting fluid (CBCF). The locally sourced castor seed oil was investigated for its physiochemical properties as well as its fatty acid composition (FAC). The cutting fluid was formulated using ratio 1:9 of oil with additives to distilled water and then characterized. In turning of AISI 1020 Mild Steel, the evaluation of surface roughness, material removal rate, cutting temperature and tool wear under the CBCF compared to the mineral oil based cutting fluid (MBCF) were carried out using Taguchi experimental design and Grey Relational Analysis (GRA) for multi-response optimization. The formulated cutting fluid showed pH value of 8.47, viscosity of 0.830 mm2/s, good resistance to corrosion, good stability and milkfish in colour. From the GRA, the multi-response optimal factor combination under the CBCF is (1250 rev/min) spindle speed, (0.6 mm/rev) feed rate and (1.0 mm) depth of cut, all at level 3 while under the MBCF, it also shows (1250 rev/min) spindle speed, (0.6 mm/rev) feed rate and (1.0 mm) depth of cut all at level 3. The parameters from Taguchi and GRA results are in agreement with results from other vegetable oil based fluids and this study also contributes and improves the science of machining.
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