当前位置: X-MOL 学术J. Mater. Process. Tech. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
A grinding force predictive model and experimental validation for the laser-assisted grinding (LAG) process of zirconia ceramic
Journal of Materials Processing Technology ( IF 6.7 ) Pub Date : 2022-01-06 , DOI: 10.1016/j.jmatprotec.2022.117492
Zhelun Ma 1, 2 , Qinghua Wang 3 , Hao Chen 1, 2 , Liaoyuan Chen 1, 2 , Sheng Qu 1, 2 , Zixuan Wang 1, 2 , Tianbiao Yu 1, 2
Affiliation  

Laser-assisted grinding (LAG), as a potential machining method, is expected to achieve high-efficiency machining without any surface damage or sub-surface damage. However, grinding force tends to exert serious impact on the surface damage during LAG process. In this paper, a grinding force predictive model for the LAG process was established, which has taken the combined effects of temperature-dependent mechanical properties of the material, statuses of grit-material micro interaction, and stochastic shapes and random distributions of abrasive grits into consideration. This model also reveals the mechanism for the reduction of grinding force during LAG. In the meantime, the simulative grinding force distributions of workpiece surface with different laser powers were obtained. LAG experiments of zirconia ceramic were carried out to validate this model. It is found that the modelled forces are in good agreement with the measured forces and the error rates can be confined within 12 %. In addition, the effect of grinding parameters on grinding force has been investigated. It is demonstrated that the grinding force can be reduced by a certain percentage ranging from 29.4%–60.1% using the optimal machining parameters. Within a certain threshold, higher laser power can improve the surface integrity and decrease the depth of damage. This work is expected to provide significant guidance for promoting the development of the laser-assisted machining technologies.



中文翻译:

氧化锆陶瓷激光辅助磨削(LAG)工艺的磨削力预测模型及实验验证

激光辅助磨削(LAG)作为一种潜在的加工方法,有望实现无任何表面损伤或亚表面损伤的高效加工。然而,磨削力往往会对 LAG 过程中的表面损伤产生严重影响。在本文中,建立了 LAG 过程的磨削力预测模型,该模型将材料的温度相关力学性能、磨粒与材料微观相互作用状态以及磨粒的随机形状和随机分布的综合影响纳入到考虑。该模型还揭示了 LAG 期间磨削力降低的机制。同时,获得了不同激光功率下工件表面的模拟磨削力分布。进行了氧化锆陶瓷的 LAG 实验来验证该模型。结果表明,模型力与实测力吻合良好,误差率可以控制在 12% 以内。此外,还研究了磨削参数对磨削力的影响。结果表明,使用最佳加工参数,磨削力可以降低一定的百分比,范围为 29.4%–60.1%。在一定阈值内,较高的激光功率可以提高表面完整性并降低损伤深度。该工作有望为促进激光辅助加工技术的发展提供重要指导。研究了磨削参数对磨削力的影响。结果表明,使用最佳加工参数,磨削力可以降低一定的百分比,范围为 29.4%–60.1%。在一定阈值内,较高的激光功率可以提高表面完整性并降低损伤深度。该工作有望为促进激光辅助加工技术的发展提供重要指导。研究了磨削参数对磨削力的影响。结果表明,使用最佳加工参数,磨削力可以降低一定的百分比,范围为 29.4%–60.1%。在一定阈值内,较高的激光功率可以提高表面完整性并降低损伤深度。该工作有望为促进激光辅助加工技术的发展提供重要指导。

更新日期:2022-01-12
down
wechat
bug