使用 Golden Jackal 优化器对激光钻孔进行特征描述和参数优化

IF 1.9 4区 工程技术 Q2 Engineering
Amiya Kumar Sahoo, Dhananjay R. Mishra
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引用次数: 0

摘要

混合复合材料的应用日益广泛,需要最佳的制造质量解决方案。本文使用了一种新开发的混合复合材料,该材料由碳、玄武岩和 Kevlar-29 纤维编织而成,用于激光钻孔作业,并使用金豺优化器对其进行了表征和优化。使用的 Nd: YAG 激光参数包括灯电流 (LC)、脉宽 (PW)、间距 (SoD) 和压缩空气压力 (CAP)。这项工作考虑的响应是孔锥度角 (HT) 和平均过切 (AvgOC)。实验装置是通过箱-贝肯设计法设计的。使用 Golden Jackal 优化器进行了优化。理论上得到了优化响应,并通过确认实验进行了验证:LC = 220 A,PW = 3 ms,SoD = 1.1 mm,CAP = 12 kg/cm2。而 HT 和 AvgOC 的预测值和实验值分别为 0.113° 和 0.125° 以及 0.066 和 0.098 mm。确证实验结果与预测反应十分吻合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Characterization of Laser Drilling and Parametric Optimization Using Golden Jackal Optimizer

Characterization of Laser Drilling and Parametric Optimization Using Golden Jackal Optimizer

The rising applications of hybrid composites demand the best manufacturing quality solutions. This article uses a newly developed hybrid composite material of carbon, basalt and Kevlar-29 woven fibres manufactured for laser drilling operation for its characterization and optimization using a golden jackal optimizer. The Nd: YAG laser parameters used are lamp current (LC), pulse width (PW), stand-off distance (SoD) and compressed air pressure (CAP). The responses considered for this work are hole taper angle (HT) and average overcut (AvgOC). The experimental set was designed through the Box–Behnken design. Optimization has been carried out using the Golden Jackal optimizer. Optimized responses are theoretically obtained and validated with the confirmation experiment as LC = 220 A, PW = 3 ms, SoD = 1.1 mm and CAP = 12 kg/cm2. Whereas predicted and experimental values of HT and AvgOC are recorded as 0.113° and 0.125° and 0.066 and 0.098 mm, respectively. The confirmatory experiment yielded a good agreement with the predicted responses.

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来源期刊
CiteScore
4.10
自引率
10.50%
发文量
115
审稿时长
3-6 weeks
期刊介绍: The International Journal of Precision Engineering and Manufacturing accepts original contributions on all aspects of precision engineering and manufacturing. The journal specific focus areas include, but are not limited to: - Precision Machining Processes - Manufacturing Systems - Robotics and Automation - Machine Tools - Design and Materials - Biomechanical Engineering - Nano/Micro Technology - Rapid Prototyping and Manufacturing - Measurements and Control Surveys and reviews will also be planned in consultation with the Editorial Board.
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