Theoretical models for surface roughness in turning considering inclination and rake angles

IF 1 4区 工程技术 Q4 ENGINEERING, MECHANICAL International Journal of Surface Science and Engineering Pub Date : 2018-09-16 DOI:10.1504/IJSURFSE.2018.10016049
A. N. Sung, M. Ratnam, W. P. Loh
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引用次数: 1

Abstract

New analytical four-parameter models for surface roughness are proposed based on the feed rate, nose radius as well as the inclination and rake angles. These models were derived to determine the maximum peak-to-valley roughness Rt and arithmetic average roughness Ra using homogeneous transformation matrices and are verified by digital simulation. The model for Rt was used to study two sequential effects of introducing the inclination and rake angles. The Rt and Ra values obtained from the four-parameter models and the existing two-parameter models, based on nose radius and feed rate, were compared. The comparison shows maximum percentage differences of 8.18% and 10.98% in Rt and Ra, respectively. The results demonstrate that the inclination and rake angles can influence the surface roughness by affecting the tool-workpiece contact geometry. The proposed four-parameter model can be employed for a more accurate theoretical surface roughness evaluation compared to the existing two-parameter models.
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考虑倾角和前倾角的车削表面粗糙度理论模型
基于进给速度、机头半径以及倾斜角和前角,提出了新的表面粗糙度四参数分析模型。这些模型是为了使用齐次变换矩阵来确定最大峰谷粗糙度Rt和算术平均粗糙度Ra而导出的,并通过数字模拟进行了验证。Rt模型用于研究引入倾角和前倾角的两个顺序效应。比较了从四个参数模型和现有的两个参数模型中获得的基于机头半径和进给速率的Rt和Ra值。比较显示Rt和Ra的最大百分比差异分别为8.18%和10.98%。结果表明,倾斜角和前角会通过影响刀具-工件接触几何形状来影响表面粗糙度。与现有的两参数模型相比,所提出的四参数模型可以用于更准确的理论表面粗糙度评估。
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来源期刊
CiteScore
1.60
自引率
25.00%
发文量
21
审稿时长
>12 weeks
期刊介绍: IJSurfSE publishes refereed quality papers in the broad field of surface science and engineering including tribology, but with a special emphasis on the research and development in friction, wear, coatings and surface modification processes such as surface treatment, cladding, machining, polishing and grinding, across multiple scales from nanoscopic to macroscopic dimensions. High-integrity and high-performance surfaces of components have become a central research area in the professional community whose aim is to develop highly reliable ultra-precision devices.
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