Investigation of stochastic toolpath strategy in three-axis ball-end milling of 2D and free-form surfaces

Nilesh Ashok Kharat, Ankit Agarwal, Tyler Grimm, Laine Mears
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Abstract

The machining of free-form components by ball-end milling inherently produces surface error in the form of scallops. The objective of any free-form toolpath strategy is to balance productivity while minimizing scallop height to reduce surface error. Conventional machining strategies produce repeatable material patterns (constant scallop height) that may limit workpiece function in areas such as lubricity, directional anisotropy, and aesthetic appearance. These strategies also involve steady-state cuts, which allow accumulation of temperature, restrict the permissible depth and speed. In the present paper a novel complex stochastic toolpath strategy has been proposed that comprises pseudo-random circular contours concatenated into a smooth path. The approach enables continuous variation of chip load, force, and direction, and avoids conditions of continuous, periodic high cutting loads and heat accumulation. Based on initial testing, it has been observed that stochastic toolpaths are longer than conventional toolpaths. However, a decrease in average cutting loads enable reduction in cutting time with feed optimization. Additionally, the proposed strategy resulted in lower scallop height than conventional machining, thereby improving surface condition.
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二维及自由曲面三轴球头铣削随机刀路策略研究
用球头铣削加工自由形状零件时,固有地产生扇贝形状的表面误差。任何自由形式的刀具路径策略的目标都是在最小化扇形高度以减少表面误差的同时平衡生产率。传统的加工策略产生可重复的材料模式(恒定的扇贝高度),这可能会限制工件在润滑、方向各向异性和美学外观等方面的功能。这些策略还涉及稳态切割,这允许温度积累,限制了允许的深度和速度。本文提出了一种新的复杂随机刀具路径策略,该策略将伪随机圆形轮廓连接成光滑路径。这种方法可以使切屑负荷、力和方向连续变化,并避免连续、周期性的高切削负荷和热积累。基于初始测试,已经观察到随机刀具路径比常规刀具路径长。然而,平均切削负荷的减少可以通过进给优化减少切削时间。此外,所提出的策略导致扇贝高度低于传统加工,从而改善表面状况。
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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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