Evaluation and Prediction of Wrapping Deformation in Sheet Part Grinding

IF 1.5 4区工程技术 Q3 ENGINEERING, MECHANICAL

Experimental Techniques Pub Date : 2024-06-25 DOI:10.1007/s40799-024-00720-1

C. Zhu, Y. Sun, D. Wang, X. Wei, Z. Shi, P. Gu

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引用次数: 0

Abstract

Grinding is usually adopted as the final step in the workpiece machining to improve the surface quality. The wrapping deformation of sheet parts caused by grinding directly affects the surface accuracy and the performance of the parts. In this paper, the grinding experiments were designed and conducted under different conditions. Combined with theoretical analysis, the finite element model was established to reveal the mechanism of wrapping deformation. A new evaluation method of wrapping deformation in grinding was proposed, and the prediction model of the wrapping deformation and temperature in the grinding zone were established and verified. Finally, the grinding parameters were optimized through genetic algorithm with small error. The optimized grinding parameters were v_s = 28 m/s, a_p = 5 μm, v_w = 3 m/min. This method can provide guidance for the grinding process of sheet parts, which is beneficial for improving efficiency and precision in grinding.

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板材零件磨削中包覆变形的评估和预测

磨削通常作为工件加工的最后一道工序，以提高表面质量。磨削造成的板材零件缠绕变形直接影响零件的表面精度和性能。本文设计并进行了不同条件下的磨削实验。结合理论分析，建立了有限元模型，揭示了包覆变形的机理。提出了一种新的磨削包覆变形评价方法，建立并验证了磨削区包覆变形和温度的预测模型。最后，通过遗传算法优化了磨削参数，误差很小。优化后的磨削参数为 vs = 28 m/s、ap = 5 μm、vw = 3 m/min。该方法可为板材零件的磨削过程提供指导，有利于提高磨削效率和精度。

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来源期刊

Experimental Techniques 工程技术-材料科学：表征与测试

CiteScore

3.50

自引率

6.20%

发文量

审稿时长

5.2 months

期刊介绍： Experimental Techniques is a bimonthly interdisciplinary publication of the Society for Experimental Mechanics focusing on the development, application and tutorial of experimental mechanics techniques. The purpose for Experimental Techniques is to promote pedagogical, technical and practical advancements in experimental mechanics while supporting the Society''s mission and commitment to interdisciplinary application, research and development, education, and active promotion of experimental methods to: - Increase the knowledge of physical phenomena - Further the understanding of the behavior of materials, structures, and systems - Provide the necessary physical observations necessary to improve and assess new analytical and computational approaches.