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首页> 外文期刊>Composites >Firefly algorithm based optimization of kerf quality characteristics in pulsed Nd:YAG laser cutting of basalt fiber reinforced composite
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Firefly algorithm based optimization of kerf quality characteristics in pulsed Nd:YAG laser cutting of basalt fiber reinforced composite

机译:基于萤火虫算法的玄武岩纤维增强复合材料脉冲Nd:YAG激光切割切口质量特性的优化

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摘要

Basalt fiber reinforced polymer (BFRP) composites are increasingly replacing glass and carbon fibers in the automotive and aerospace industries due to higher strength to weight ratio, excellent thermal, mechanical and structural properties. The need for their massive applications to obtain complex shapes can be accomplished by using advanced machining processes such as laser beam cutting (LBC) against conventional cutting techniques. However, in LBC, the dimensional precise and accurate cutting of composite materials is a challenging task in order to produce a higher-quality cut due to the anisotropic and heterogeneous features of the composite. The aim of the present research is to ascertain optimum levels of cutting parameters able to provide geometrically accurate cut for 1.60 nun thick BFRP composite laminate. The influence of five different process parameters viz. lamp current, pulse frequency, pulse width, air pressure and cutting speed on kerf width, kerf deviation, and kerf taper have been evaluated experimentally. Furthermore, a firefly algorithm (FA) based multi-objective optimization approach has been implemented for the simultaneous optimization of all evaluated kerf quality characteristics. Finally, the predicted optimal solutions have been validated by performing confirmation experiments. An overall improvement of 26.75% has been recorded in kerf quality characteristics with an individual improvement of 27.78%, 29.68% and 22.80% in kerf width, kerf deviation, and kerf taper respectively during the evaluation. Moreover, the kerf ratio has been also evaluated and discussed in this article.
机译:玄武岩纤维增强聚合物(BFRP)复合材料由于具有更高的强度重量比,出色的热,机械和结构性能,正逐渐取代汽车和航空航天业中的玻璃纤维和碳纤维。通过使用先进的加工工艺,例如激光束切割(LBC)与传统的切割技术,可以满足其大量应用以获得复杂形状的需求。然而,在LBC中,由于复合材料的各向异性和异质性,要进行高质量的切割,复合材料的尺寸精确和精确的切割是一项艰巨的任务。本研究的目的是确定切削参数的最佳水平,从而能够为1.60 60厚的BFRP复合材料层压板提供几何上精确的切削。五个不同过程参数的影响。通过实验评估了灯电流,脉冲频率,脉冲宽度,气压和切割速度对切缝宽度,切缝偏差和切缝锥度的影响。此外,已经实现了基于萤火虫算法(FA)的多目标优化方法,以同时优化所有评估的割缝质量特征。最后,通过执行确认实验对预测的最优解进行了验证。评估结果表明,割缝质量特征总体改善了26.75%,割缝宽度,割缝偏差和割缝锥度分别改善了27.78%,29.68%和22.80%。此外,本文还对切口率进行了评估和讨论。

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