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基于力预测和表面粗糙度测量的CBN刀具硬铣削切削数据和刀具倾斜角度优化

Optimization of Cutting Data and Tool Inclination Angles During Hard Milling with CBN Tools, Based on Force Predictions and Surface Roughness Measurements.

作者信息

Matras Andrzej, Zębala Wojciech

机构信息

Production Engineering Institute, Mechanical Faculty, Cracow University of Technology, Al. Jana Pawła II 37, 31-864 Kraków, Poland.

出版信息

Materials (Basel). 2020 Mar 2;13(5):1109. doi: 10.3390/ma13051109.

Abstract

This work deals with technological considerations required to optimize the cutting data and tool path pattern for finishing the milling of free-form surfaces made of steel in a hardened state. In terms of technological considerations, factors such as feed rate, workpiece geometry, tool inclination angles (lead and tilt angles) and surface roughness are taken into account. The proposed method is based on calculations of the cutting force components and surface roughness measurements. A case study presented in the paper is based on the AISI H13 steel, with hardness 50 HRC and milling with a cubic boron nitride (CBN) tool. The results of the research showed that by modifications of the feed value based on the currently machined cross-sectional area, it is possible to control the cutting force components and surface roughness. During the process optimization, the 9% and 15% increase in the machining process efficiency and the required surface roughness were obtained according to the tool inclination angle and feed rate optimization procedure, respectively.

摘要

这项工作涉及优化切削数据和刀具路径模式所需的技术考量,以完成对硬化状态下的钢质自由曲面的铣削加工。在技术考量方面,会考虑诸如进给速度、工件几何形状、刀具倾斜角度(超前角和倾斜角)以及表面粗糙度等因素。所提出的方法基于切削力分量的计算和表面粗糙度测量。本文给出的一个案例研究基于AISI H13钢,硬度为50 HRC,并使用立方氮化硼(CBN)刀具进行铣削加工。研究结果表明,通过根据当前加工的横截面积修改进给值,可以控制切削力分量和表面粗糙度。在工艺优化过程中,根据刀具倾斜角度和进给速度优化程序,加工效率分别提高了9%,所需表面粗糙度提高了15%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b594/7085022/92510850422f/materials-13-01109-g001.jpg

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