计算机数控干铣高强度 AISI 420 马氏体不锈钢时加工参数对平均表面粗糙度的影响

IF 1.5 Q2 ENGINEERING, MULTIDISCIPLINARY
Pramod George, Philip Selvaraj D, D S Ebenezer Jacob Dhas, Pradeep George
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引用次数: 0

摘要

本研究的重点是利用响应曲面法(RSM),为 AISI 420 马氏体不锈钢的计算机数控(CNC)干铣过程中的平均表面粗糙度建立一个经验模型。实验设计了三个水平的轴向切削深度、进给量和主轴转速,以量化它们对表面粗糙度的影响。采用 RSM-Box-Behnken 设计来构建经验模型。通过残差分析和方差分析(ANOVA)验证了模型的充分性。主效应和交互效应分析表明,平均表面粗糙度的主要影响因素是进给速度、主轴速度和轴向切削深度,而交互效应的影响则不太明显。最佳切削条件被确定为主轴转速为 1500 rpm,进给速度为 30 mm min-1,轴向切削深度为 0.3 mm。该模型的有效性通过其他验证测试得到了进一步确认。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effect of machining parameters on average surface roughness during computer numerical controlled dry milling of high strength AISI 420 martensitic stainless steel
This study focuses on developing an empirical model for average surface roughness during computer numerical controlled (CNC) dry milling of AISI 420 martensitic stainless steel, utilizing response surface methodology (RSM). Experiments were designed with three levels of axial depth of cut, feed rate, and spindle speed to quantify their impact on surface roughness. The RSM-Box-Behnken design was employed to construct the empirical model. Model adequacy was validated through residual analysis and analysis of variance (ANOVA). Analysis of the main effects and interaction effects revealed that the primary influences on average surface roughness were the feed rate, spindle speed, and axial depth of cut, while interaction effects were less significant. Optimal cutting conditions were determined to be a spindle speed of 1500 rpm, a feed rate of 30 mm min−1, and an axial depth of cut of 0.3 mm. The model’s validity was further confirmed through additional validation tests.
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来源期刊
Engineering Research Express
Engineering Research Express Engineering-Engineering (all)
CiteScore
2.20
自引率
5.90%
发文量
192
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