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Experimental investigations and optimization of machining parameters for Magneto-rheological Abrasive Honing process
Materials and Manufacturing Processes ( IF 4.8 ) Pub Date : 2020-06-22 , DOI: 10.1080/10426914.2020.1779938
Chinu Kumari 1 , Sanjay Kumar Chak 1 , Vamula Vijay Vani 1
Affiliation  

ABSTRACT Being an advancement of conventional honing method, Magneto-rheological Abrasive Honing (MRAH) process is one of the unconventional nano-finishing processes which has the capability of finishing the non-magnetic freeform surfaces with good material removal rate. The magneto-rheological effect imparted by the carbonyl iron particles (magnetic particles) along with abrasives introduced through carrier medium directs the finishing action in MRAH. In MRAH process, up and down motion with rotational motion were assigned to the finishing fluid and the workpiece, respectively. Being a new process, there is a need to quantify and analyze the outcomes of machining parameters in addition to finishing time on % change in roughness value (%∆Ra). In the current study, machining parameters like magnetizing current, rotational speed of the workpiece, and finishing time were optimized to maximize %∆Ra using response surface methodology. An investigational study using center composite rotatable design followed by ‘Analysis of Variance’ was applied to evaluate the impact of influencing parameters. The regression equation obtained after elimination of insignificant terms was further optimized using response analyzer in Minitab 17. The outcomes obtained from regression equation were establishing a fine confirmation with the outcomes obtained from the experiments.

中文翻译:

磁流变磨料珩磨工艺加工参数的试验研究与优化

摘要 磁流变磨料珩磨(MRAH)工艺是传统珩磨方法的进步,是一种非常规纳米精加工工艺,能够以良好的材料去除率对非磁性自由曲面进行精加工。由羰基铁颗粒(磁性颗粒)和通过载体介质引入的磨料赋予的磁流变效应指导 MRAH 中的精加工作用。在 MRAH 工艺中,带有旋转运动的上下运动分别分配给精加工液和工件。作为一种新工艺,除了粗糙度值变化百分比 (%∆Ra) 的精加工时间外,还需要量化和分析加工参数的结果。在目前的研究中,加工参数如磁化电流、工件转速、使用响应面方法优化整理时间以最大化 %∆Ra。使用中心复合可旋转设计的调查研究,然后是“方差分析”,用于评估影响参数的影响。使用 Minitab 17 中的响应分析器进一步优化消除不显着项后获得的回归方程。从回归方程获得的结果与从实验获得的结果建立了精细的确认。
更新日期:2020-06-22
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