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首页> 外文期刊>Journal for manufacturing science and production >RSM Based Investigations on the Effects of Cutting Parameters on Surface Integrity during Cryogenic Hard Turning of AISI 52100
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RSM Based Investigations on the Effects of Cutting Parameters on Surface Integrity during Cryogenic Hard Turning of AISI 52100

机译:基于RSM的AISI 52100深冷硬车削时切削参数对表面完整性的影响研究

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摘要

Effect of cryogenic hard turning parameters (cutting speed, feed rate, and depth of cut) on surface roughness (R_a) and micro-hardness (μH) that constitute surface integrity (SI) of the machined surface of alloy steel AISI 52100 is investigated. Multilayer hard surface coated (TiN/TiCN/Al_2O_3/TiN) insert on CNC lathe is used for turning under different cutting parameters settings. RSM based Central composite design (CCD) of experiment is used to collect data for R_a and μH. Validity of assumptions related to the collected data is checked through several diagnostic tests. The analysis of variance (ANOVA) is used to determine main and interaction effects. Relationship between the variables is established using quadratic regression model. Both R_a and μH are influenced principally by the cutting speed and the feed rate. Model equations are found to predict accurate values of R_a and μH. Finally, desirability function approach for multiple response optimization is used to produce optimum SI.
机译:研究了低温硬车削参数(切削速度,进给速度和切削深度)对构成合金AISI 52100加工表面的表面完整性(SI)的表面粗糙度(R_a)和显微硬度(μH)的影响。 CNC车床上的多层硬质表面涂层(TiN / TiCN / Al_2O_3 / TiN)刀片用于在不同的切削参数设置下进行车削。基于RSM的中央复合设计(CCD)实验用于收集R_a和μH的数据。与收集的数据相关的假设的有效性通过若干诊断测试进行了检查。方差分析(ANOVA)用于确定主要影响和交互作用。使用二次回归模型建立变量之间的关系。 R_a和μH都主要受切削速度和进给速度的影响。发现模型方程可预测R_a和μH的准确值。最后,用于多响应优化的合意函数方法被用来产生最佳SI。

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