根据经验对 Delrin 车削操作参数进行性能分析

IF 7.5 Q1 CHEMISTRY, PHYSICAL
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引用次数: 0

摘要

Delrin 是金属的最佳附加材料,因为它具有耐磨性和抗拉强度等固有特性。这项工作的主要目的是研究进给速率、主轴转速和切削深度等自变量对新型材料 Delrin 的表面粗糙度、温度、应力和材料去除率等因变量的影响。根据刀具和工件材料组合以及机床规格,选择自变量范围为主轴转速 230 - 844 rpm、进给率 0.5 - 1.5 mm/rev、切削深度 1 - 3 mm。根据 L27 正交阵列实验方案,采用实验设计概念进行了 27 次实验。还通过响应面方法进行了理论研究,以确定在加工 Delrin 时,自变量如何影响因变量。自变量的显著性由所有考虑的反应的方差分析表确定。除了考虑工作流程外,还利用回归分析建立了经验模型。所建立的模型得到了实验数据的证实,模型与实验结果的验证结果最佳。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance analysis of turning operation parameters empirically on Delrin
Delrin is the best additional material for metals because of its inherent qualities, such as great wear resistance and tensile strength. The main aim of this work is to investigate how independent variables like feed rate, spindle speed, and depth of cut are significant for dependent variables such as surface roughness, temperature, stresses, and material removal rate on novel material Delrin. The independent variable ranges are selected based on tool and workpiece material combinations and machine tool specification as spindle speed 230 – 844 rpm, feed rate 0.5 – 1.5 mm/rev, and depth of cut 1 – 3 mm. Based on the L27 orthogonal array experimental plan 27 numbers of experiments are conducted by the design of experiment concepts. The theoretical investigation through response surface methodology is also conducted to establish how independent variables affected dependent variables when Delrin was being machined. The independent variable's significance is determined by the ANOVA table for all the considered responses. In addition to the considered flow of work, the experiential model is developed by the utilization of regression analysis. The developed models are confirmed by experimental data and the models have the best validation results with the experimental results.
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CiteScore
8.10
自引率
1.60%
发文量
128
审稿时长
66 days
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