Predicting cutting forces in 5-axis milling of sculptured surfaces directly from a CAM tool path

IF 1.9 3区 工程技术 Q3 ENGINEERING, MANUFACTURING
Yacine Hamiche, N. Zeroudi
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引用次数: 0

Abstract

The present work is motivated by the fact that for predicting the cutting forces which arise under various cutting conditions, workpiece-tool pairs, machining depths and tool orientation, numerical methods are slower and less efficient than analytical methods. In addition, recent developments in Computer Assisted Machining (CAM) techniques have enabled analytical methods to be applied even with complex workpiece geometry. The method developed in this paper is both practical and inexpensive. It is based on an analytical method using only few approximations and uses the toolpath file as the main information source for the machined surface. This method takes into account both tool position and orientation in a 5-axis finishing milling process with ball-end cutter, independent of the machining parameters and the couple of tool-workpiece materials. However, this calculation must be supplemented by a mechanistic approach in order to obtain results equivalent to those of the experiment. The result is a model which is implemented in a program allowing the visualization of the cutting forces along a given path. The program is easy to apply in practical cases with the possibility of implementing it in a machining software.
预测切削力在五轴铣削雕刻表面直接从凸轮刀具路径
在预测各种切削条件、工件-刀具对、加工深度和刀具方向下产生的切削力时,数值方法比解析方法速度慢且效率低,这是本研究的动机。此外,计算机辅助加工(CAM)技术的最新发展使分析方法甚至可以应用于复杂的工件几何形状。本文开发的方法既实用又便宜。它是基于一种仅使用少量近似的解析方法,并以刀具路径文件作为加工表面的主要信息源。该方法考虑了球头刀五轴精加工过程中刀具的位置和方向,不受加工参数和刀具-工件材料耦合的影响。然而,为了得到与实验结果相当的结果,这种计算必须辅以机械方法。结果是一个模型,该模型在一个程序中实现,允许沿给定路径的切削力可视化。该程序易于应用于实际情况,可在加工软件中实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.10
自引率
30.80%
发文量
167
审稿时长
5.1 months
期刊介绍: Manufacturing industries throughout the world are changing very rapidly. New concepts and methods are being developed and exploited to enable efficient and effective manufacturing. Existing manufacturing processes are being improved to meet the requirements of lean and agile manufacturing. The aim of the Journal of Engineering Manufacture is to provide a focus for these developments in engineering manufacture by publishing original papers and review papers covering technological and scientific research, developments and management implementation in manufacturing. This journal is also peer reviewed. Contributions are welcomed in the broad areas of manufacturing processes, manufacturing technology and factory automation, digital manufacturing, design and manufacturing systems including management relevant to engineering manufacture. Of particular interest at the present time would be papers concerned with digital manufacturing, metrology enabled manufacturing, smart factory, additive manufacturing and composites as well as specialist manufacturing fields like nanotechnology, sustainable & clean manufacturing and bio-manufacturing. Articles may be Research Papers, Reviews, Technical Notes, or Short Communications.
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