Kumar Raman, Singh Sehijpal, Aggarwal Vivek, Singh Sunpreet, Pimenov Danil Yurievich, Giasin Khaled, Nadolny Krzysztof
Department of Mechanical and Production Engineering, Guru Nanak Dev Engineering College, Ludhiana 141006, India.
Department of Mechanical Engineering, IKGPTU Main Campus, Kapurthala 144603, India.
Materials (Basel). 2022 Feb 9;15(4):1287. doi: 10.3390/ma15041287.
This research work highlights the benefits of abrasive flow polishing (AFP) applied to tungsten carbide dies compared with conventional hand polishing (HP). An indigenous experimental set-up for AFP was developed. The effect of prominent process parameters viz. extrusion pressure, number of cycles, and abrasive particle concentration on the final surface roughness, percentage improvement in surface roughness, and polishing time was investigated by Taguchi-designed experiments. The multi-objective optimization (MOO) was performed using the Taguchi-TOPSIS-Equal weight approach to find the respective optimized AFP parametric settings. A set of skilled operators performed the conventional HP of dies, and the best hand-polished (HPed) die was selected using the TOPSIS technique. The operational performance of the HPed dies and the abrasive flow polished (AFPed) dies were compared on the three-stage wire drawing operation. The results revealed that AFP's surface resulted in a better-quality surface than hand polishing with a 27.06% improvement in surface roughness. Furthermore, AFP can reduce the dependency on costly and tricky-to-locate skilled operators, with a reasonable amount of time saving (about 87.05%). Overall, the study's findings show that abrasive flow polishing of dies is fast and cost-effective.
这项研究工作突出了与传统手工抛光(HP)相比,磨料流抛光(AFP)应用于硬质合金模具的优势。开发了一种用于AFP的本土实验装置。通过田口设计的实验,研究了突出的工艺参数,即挤压压力、循环次数和磨料颗粒浓度对最终表面粗糙度、表面粗糙度改善百分比和抛光时间的影响。使用田口-TOPSIS-等权重方法进行多目标优化(MOO),以找到各自优化的AFP参数设置。一组熟练的操作员对模具进行传统的HP操作,并使用TOPSIS技术选择最佳的手工抛光(HPed)模具。在三级拉丝操作中比较了HPed模具和磨料流抛光(AFPed)模具的运行性能。结果表明,AFP处理后的表面质量优于手工抛光,表面粗糙度提高了27.06%。此外,AFP可以减少对昂贵且难以找到的熟练操作员的依赖,并节省相当多的时间(约87.05%)。总体而言,该研究的结果表明,模具的磨料流抛光快速且具有成本效益。