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Multi-responses optimization of finishing honing process for surface quality and production rate
Journal of the Brazilian Society of Mechanical Sciences and Engineering ( IF 2.2 ) Pub Date : 2020-10-28 , DOI: 10.1007/s40430-020-02690-y
Trung-Thanh Nguyen , The-Chien Vu , Quoc-Dung Duong

The finishing honing process is an effective machining to enhance surface properties. The objective of this work is to optimize the machining parameters, including the tangential speed (H), linear speed (L), and grit size (G) for minimizing the average roughness (Ra), maximum height roughness (Ry), and machining time (TM). The honing experiments were performed with the aids of an industrial machine and the Box–Behnken experimental matrix. The nonlinear relationships between machining parameters and honing responses were developed using response surface method models. Subsequently, two optimization techniques, including the desirability approach and non-dominated sorting genetic algorithm II (NSGA II), were used to solve the trade-off analysis among three technological responses and find the optimal factors. Finally, the machining time reductions were assessed in consideration of constrained roughness properties. The obtained results showed that surface roughness and machining time were strongly influenced by abrasive grit size, followed by the tangential speed and linear speed. The optimal values of the H, L, and G were 36.0 m/min, 9.5 m/min, and 220 FEPA, respectively. The reductions in the average roughness, maximum height roughness, and machining time are 53.13%, 8.93%, and 13.95%, respectively, as compared to common values used. Moreover, the genetic algorithm-based approach could be employed to produce reliable values in comparison with the desirability approach. The outcome is expected as a technical solution to enhance the surface properties and productivity of the finishing honing process.



中文翻译:

精加工珩磨工艺对表面质量和生产率的多响应优化

精加工珩磨过程是提高表面性能的有效机加工。这项工作的目的是优化加工参数,包括切向速度(H),线速度(L)和粒度(G),以使平均粗糙度(R a),最大高度粗糙度(R y)最小,和加工时间(T M)。珩磨实验是在工业机器和Box-Behnken实验矩阵的帮助下进行的。使用响应面方法模型建立了加工参数与珩磨响应之间的非线性关系。随后,采用了两种优化技术,包括合意性方法和非支配排序遗传算法II(NSGA II),以解决三种技术响应之间的权衡分析,并找到最佳因素。最后,在考虑到粗糙度限制的情况下评估了加工时间的减少。所得结果表明,表面粗糙度和加工时间受磨粒尺寸,切向速度和线速度的影响很大。HL的最佳值G分别为36.0 m / min,9.5 m / min和220 FEPA。与使用的常用值相比,平均粗糙度,最大高度粗糙度和加工时间的减少分别为53.13%,8.93%和13.95%。而且,与期望方法相比,可以采用基于遗传算法的方法来产生可靠的值。该结果有望作为一种技术解决方案,以提高精加工珩磨的表面性能和生产率。

更新日期:2020-10-30
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