高精度不锈钢板材电火花线切割与CO2激光切割的对比研究

IF 1.8 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
A. Parthiban, K. Ananthakumar, S. Ajith Arul Daniel, S. Sivaganesan, T. Sathish, Jayant Giri, A. Johnson Santhosh, Ahmad O. Hourani
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引用次数: 0

摘要

CO2激光切割和电火花线切割是两种先进的基于热能的方法,广泛应用于精密型材切割任务。本研究对这些技术进行了全面的实验分析,重点研究了它们在切割AISI 316L和304不锈钢牌号时的性能。研究评估了影响切割质量的关键工艺参数,旨在实现最小的表面粗糙度。此外,对两种方法产生的表面形貌进行了彻底的检查。通过分析切削性能并跟踪两种技术的结果,该研究确定了这些材料最有效的切削技术。采用基于遗传算法的多目标优化方法,研究表明表面粗糙度显著增强。AISI 316不锈钢在CO2激光切割和EDM线切割表面1.5、2和2.5 mm厚度的偏差百分比分别为24.8%、21.59%和35.61%,AISI 304不锈钢在CO2激光切割和EDM线切割表面1.5、2和2.5 mm厚度的偏差百分比分别为36.86%、27.88%和22.96%。优化后的工艺实现了卓越的表面粗糙度的切割质量。这些发现为在工业应用中选择合适的切割方法和参数以实现高精度结果提供了有价值的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparative Study on EDM Wire Cutting and CO2 Laser Cutting for High-Precision Stainless Steel Sheet Processing

CO2 laser cutting and electrical discharge machining (EDM) wire cutting are two advanced thermal energy-based methods widely utilized for precision profile cutting tasks. This study conducts a comprehensive experimental analysis of these techniques, focusing on their performance when cutting stainless steel grades AISI 316L and 304. The research evaluates key process parameters influencing the cut quality, aiming to achieve minimal surface roughness. Additionally, the surface morphologies resulting from both methods are thoroughly examined. By analyzing the cutting performance and tracking the outcomes for both techniques, the study identifies the most efficient cutting technology for these materials. Using a multi-objective optimization approach based on Genetic Algorithms, the study demonstrates a significant enhancement in surface roughness. The percentages of deviations for AISI 316 Stainless steel for 1.5, 2, and 2.5 mm thickness for CO2 laser cut and EDM wire cut surfaces are 24.8%, 21.59%, and 35.61%, respectively, and also that The percentages of deviations for AISI 304 Stainless steel for 1.5, 2, and 2.5 mm thickness for CO2 laser cut and EDM wire cut surfaces are 36.86%, 27.88%, and 22.96%, respectively. The optimized process achieves a superior surface roughness of cutting quality. These findings offer valuable insights into selecting the appropriate cutting method and parameters for achieving high-precision results in industrial applications.

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CiteScore
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