石墨/环氧树脂和炭黑/环氧树脂纳米复合材料的 Nd:YAG 激光微钻孔加工性能和参数优化研究

Lipsamayee Mishra, T. R. Mahapatra, Debadutta Mishra, P. Mishra, Pratap Chandra Padhi
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摘要

在先进复合材料的加工过程中,激光钻孔操作经常会遇到锥度和孔周围微结构变化等缺陷,要减少这些缺陷,就必须准确评估工艺参数对钻孔质量的影响。在这项工作中,对石墨粉(GP)/环氧树脂和炭黑(CB)/环氧树脂纳米复合材料进行了 Nd:YAG 激光微钻孔。研究了灯电流、切割速度、辅助气压、脉冲频率和波段宽度对孔质量属性的影响,特别是热影响区(HAZ)、锥度和材料去除率(RMR)。实验按照田口标准化设计进行规划,并利用当代元启发式加速粒子群优化算法(APSO)和鲸鱼优化算法(WOA)来确定最佳可控工艺参数。通过进行确认试验,证明了所获得的各种最佳条件是合理的。就孔质量而言,GP/环氧树脂复合材料优于 CB/环氧树脂复合材料。在单目标优化中,GP/环氧和 CB/ 环氧纳米复合材料的锥度、HAZ 和 RMR 分别提高了(14.47%、10.54% 和 16.86%)和(14.64%、12.72% 和 24.90%)。在多性能优化中,WOA 与实际值相比误差最小,并能改善 GP/Epoxy 和 CB/Epoxy 纳米复合材料的锥度(32.64%,1.29%)和 HAZ(10.58%,10.09%)。
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Study of Nd:YAG laser micro-drilling machinability and parametric optimization of graphite/Epoxy and carbon black/Epoxy nanocomposites
Accurate estimation of the influence of process parameters on the drilled hole quality is imperative for reducing the defects like the taper and the microstructural changes around the holes are frequently encountered during the processing of advanced composite materials involving the laser drilling operations. In this work, the Nd:YAG laser micro-drilling of graphite powder (GP)/Epoxy and carbon black (CB)/Epoxy nanocomposites is performed. The impact of lamp current, cutting speed, assisted air pressure, pulse frequency, and band width on the hole quality attributes, specifically the heat affected zone (HAZ), taper and rate of material removal (RMR) are investigated. The experimentations are planned as per Taguchi’s standardized design and contemporary meta-heuristic accelerated particle swarm optimization (APSO) algorithm and the Whale optimization algorithm (WOA) have been utilized to define optimum controllable process parameters. The assortment of the acquired optimum conditions are justified by performing confirmatory tests. GP/Epoxy composites outperform CB/Epoxy composites in terms of hole quality. For single-objective optimization, improvements in taper, HAZ, and RMR for GP/Epoxy and CB/Epoxy nanocomposites are (14.47%, 10.54%, and 16.86%) and (14.64%, 12.72%, and 24.90%), respectively. In multi-performance optimization, WOA exhibits the least error compared to actual values and leads to improved taper (32.64%, 1.29%) and HAZ (10.58%, 10.09%) in GP/Epoxy and CB/Epoxy nanocomposites.
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