Application of response surface methodology for determining cutting force model in turning of LM6/SiCP metal matrix composite
Application of response surface methodology for determining cutting force model in turning of LM6/SiCP metal matrix composite
复制标题
DOI：
10.1016/j.measurement.2013.09.023
复制
发表时间：
2014-01-01
期刊：
影响因子：
5.6
通讯作者：
Singh, S.
中科院分区：
文献类型：
--
作者：
Joardar, H.;Das, N. S.;Singh, S.
在本研究中，试图评估某些切削变量对干切削条件下铝基复合材料直线车削切削力的影响。选择切削速度、切削深度和SiCP质量分数作为影响因素。应用响应面法和面心复合材料设计方法，对搅拌铸造铝基复合材料的切向切削力、轴向切削力和径向切削力进行了建模、优化和主要切削参数影响分析。使用碳化硅颗粒增强的铝（LM6）合金进行实验。数学模型的开发和充分性测试使用方差分析和其他充分性措施，使用开发的模型。预测值与实测值比较接近，表明所建立的模型可以有效地用于预测铝基复合材料的车削响应。工艺参数的等值线图揭示了低切削力与最低水平的切削深度和最高水平的切削速度和敏感性分析表明，切削速度是影响响应变量的最显着因素。(C)2013爱思唯尔有限公司保留所有权利。
In the present investigation an attempt is made to evaluate the effect of certain cutting variables on cutting forces in straight turning of aluminum metal matrix composites under dry cutting condition. Cutting speed, depth of cut and weight percentage of SiCP are selected as the influencing parameters. The application of response surface methodology and face centered composite design for modeling, optimization, and an analysis of the influences of dominant cutting parameters on tangential cutting force, axial cutting force and radial cutting force of aluminum metal matrix composites produced through stir casting route. Experiments are carried out using aluminum (LM6) alloy reinforced with silicon carbide particles. The mathematical models are developed and tested for adequacy using analysis of variance and other adequacy measures using the developed models. The predicted values and measured values are fairly close, which indicate that the developed models can be effectively used to predict the responses in the turning of aluminum metal matrix composites. The contour plots of the process parameters revel that the low cutting forces are associated with the lowest level of depth of cut and the highest level of cutting speed and the sensitivity analysis revealed that cutting speed is most significant factor influencing the response variables investigated. (C) 2013 Elsevier Ltd. All rights reserved.