Optimization of process parameters in Nano-particle mixed EDM of hardened die steel AISI H13 using RSM and GA

Tasfia Saba , AKM Nurul Amin , Sanjida Islam , Maisha Rahman Chaity , Noshin Tasnim Tuli , Adib Bin Rashid
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Abstract

EDM is an unconventional manufacturing technique that utilizes electrical discharges to create complex or robust components from various materials. AISI H13 hot work tool steel is well-suited for applications involving forming and hot working tooling, owing to its exceptional strength, hardness, hardenability, and resistance to thermal softening. The great mix of characteristics makes it challenging to manufacture. This study evaluates the latest EDM techniques applied to machining AISI H13. This study investigates the influence of peak current (10A–30A), pulse ON-time (100μs–250μs), pulse OFF-time (7μs–18μs), and powder concentration (2gm/L-5gm/L) on surface roughness (SR), tool wear rate (TWR), and material removal rate (MRR) for machining AISI H13 material by nano particle mixed EDM. The experimental runs were developed using concepts from Response Surface Methodology within the Design of Experiments (DOE) framework to minimize the number of tests conducted. Central Composite Design (CCD) was employed to develop regression models, resulting in quadratic model for SR, TWR and MRR. ANOVA was used to assess the influence of input factors on outcomes. Optimization was conducted utilizing Response Surface Methodology (RSM) and Genetic Algorithm (GA). The execution of a test run facilitated a comparison between the actual outcomes and the optimized results. In both instances, RSM and GA yielded satisfactory results. A scanning electron microscope was employed to investigate the morphology of machined surfaces. The impact of EDM bombardment on the machined surface and its layers was assessed by examining a cross-section under SEM. This allowed for a comparison of the composition of the recast layer, heat-affected zone, and base metal through visual inspection and EDX analysis. The micro-hardness of the machine surface integrity was evaluated by analysing the heat-affected zone, recast layer, and parent material. The operation of nano particle mixed EDM modifies the composition and micro-hardness of the recast layer and heat-affected zones in comparison to the base metal.
采用RSM和遗传算法优化淬硬模锻钢AISI H13纳米颗粒混合电火花加工工艺参数
电火花加工是一种非常规的制造技术,利用放电从各种材料中制造复杂或坚固的部件。AISI H13热加工工具钢是非常适合的应用涉及成型和热加工工具,由于其卓越的强度,硬度,淬透性和抗热软化。各种特性的混合使得制造具有挑战性。本研究评估了最新的电火花加工技术在加工AISI H13中的应用。研究了峰值电流(10A-30A)、脉冲通断时间(100μs-250μs)、脉冲关断时间(7μs-18μs)和粉末浓度(2gm/L-5gm/L)对纳米颗粒混合电火花加工AISI H13材料表面粗糙度(SR)、刀具磨损率(TWR)和材料去除率(MRR)的影响。实验运行是在实验设计(DOE)框架内使用响应面方法的概念开发的,以尽量减少所进行的测试次数。采用中心复合设计(CCD)建立回归模型,得到SR、TWR和MRR的二次模型。方差分析用于评估输入因素对结果的影响。利用响应面法(RSM)和遗传算法(GA)进行优化。测试运行的执行促进了实际结果与优化结果之间的比较。在这两种情况下,RSM和GA都产生了令人满意的结果。采用扫描电子显微镜对加工表面形貌进行了研究。通过扫描电镜检查横截面,评估了电火花轰击对加工表面及其层的影响。通过目视检查和EDX分析,可以比较重铸层、热影响区和母材的成分。通过对热影响区、重铸层和母材的分析,评价了机床表面完整性的显微硬度。与母材相比,纳米颗粒混合电火花加工改变了重铸层和热影响区的成分和显微硬度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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