首页> 外文会议>DAAAM International Symposium on Intelligent Manufacturing and Automation >MATHEMATICAL MODELLING OF SURFACE ROUGHNESS FOR EVALUATING THE EFFECTS OF CUTTING PARAMETERS IN DRILLING PROCESS
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MATHEMATICAL MODELLING OF SURFACE ROUGHNESS FOR EVALUATING THE EFFECTS OF CUTTING PARAMETERS IN DRILLING PROCESS

机译:用于评价切削参数在钻井过程中的效果的地表粗糙度的数学建模

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The optimization of surface integrity in drilling process using response surface method (RSM) is presented. This paper investigates the machining parameters affecting the roughness of surfaces produced in dry drilling process. Three parameters were selected for study: cutting speed, feed rate and drill diameter. In this study developed a model of surface roughness based on the response surface method, logarithmic linearized approach for determining the processing parameters in drilling process of steel EN 1.0038, using HSS coated TiN drill tools. The experiment has been designed and carried out on the basis of a three level factorial design. Obtained results are in good accordance with the experimentally obtained data, confirming the effectiveness of regression analysis in modeling of surface roughness in the dry drilling process. The established predictive model shows that the surface roughness increases with the increase of feed rate and depth of cut but decreases with cutting speed increase.
机译:提出了使用响应表面法(RSM)的钻井过程中表面完整性的优化。本文研究了影响干燥钻井过程中产生的表面粗糙度的加工参数。选择三个参数进行研究:切割速度,进料速率和钻头直径。本研究开发了一种基于响应面法的表面粗糙度模型,对数线性化方法用于确定钢EN 1.0038钻井过程中的处理参数,采用HSS涂层锡钻工具。该实验已经在三级阶乘设计的基础上设计和开展。获得的结果符合实验获得的数据,确认回归分析在干燥钻井过程中表面粗糙度建模中的有效性。所建立的预测模型表明,随着进料速率的增加和切割深度而增加,表面粗糙度随着切割速度的增加而增加。

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