Study on a probabilistic algorithm for the forming and 3D characterization of special-shaped surfaces under profile grinding

IF 4.2 2区工程技术 Q2 ENGINEERING, MANUFACTURING Advances in Manufacturing Pub Date : 2024-01-05 DOI:10.1007/s40436-023-00467-9

Zhao-Qing Zhang, Kai-Ning Shi, Yao-Yao Shi, Yi-Hui Song, Zhe He, Ya-Song Pu

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Abstract

Profile grinding is the most crucial method for the ultra-precision machining of special-shaped surfaces. However, profile grinding produces a unique machining profile, and many random factors in the machining process lead to complex surface characteristics. In this study, the structural and probabilistic characteristics of the profile grinding of a special-shaped surface were analyzed, and a probabilistic algorithm for the forming and 3D characterization of special-shaped surfaces under profile grinding was developed. The forming process of a GH738 blade tenon tooth surface was considered as an example to demonstrate the algorithm. The comparison results showed that the simulation results had similar surface characteristics to the measurement results, and the relative error range of the 3D roughness parameter was 0.21%–19.76%, indicating an accurate prediction and characterization of the complex special-shaped surface under the action of multiple factors.

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轮廓磨削下异形表面成形和三维特征的概率算法研究

成型磨削是超精密加工特殊形状表面的最关键方法。然而，成型磨削会产生独特的加工轮廓，加工过程中的许多随机因素会导致复杂的表面特征。本研究分析了异形表面成形磨削的结构和概率特征，并开发了异形表面成形磨削下的成形和三维特征概率算法。以 GH738 刀片榫齿表面的成形过程为例，演示了该算法。对比结果表明，模拟结果与测量结果具有相似的表面特征，三维粗糙度参数的相对误差范围为 0.21%-19.76%，表明在多因素作用下对复杂异形表面的预测和表征是准确的。

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来源期刊

Advances in Manufacturing Materials Science-Polymers and Plastics

CiteScore

9.10

自引率

3.80%

发文量

274

期刊介绍： As an innovative, fundamental and scientific journal, Advances in Manufacturing aims to describe the latest regional and global research results and forefront developments in advanced manufacturing field. As such, it serves as an international platform for academic exchange between experts, scholars and researchers in this field. All articles in Advances in Manufacturing are peer reviewed. Respected scholars from the fields of advanced manufacturing fields will be invited to write some comments. We also encourage and give priority to research papers that have made major breakthroughs or innovations in the fundamental theory. The targeted fields include: manufacturing automation, mechatronics and robotics, precision manufacturing and control, micro-nano-manufacturing, green manufacturing, design in manufacturing, metallic and nonmetallic materials in manufacturing, metallurgical process, etc. The forms of articles include (but not limited to): academic articles, research reports, and general reviews.