首页> 外文期刊>SN Applied Sciences >Multi performance optimization in machining of EN31‑535A99SS with interchangeable straight cemented tungsten carbide‑cobalt mixed (WC–Co) insert grade (CSTC—K20) using Taguchi coupled grey relational analysis
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Multi performance optimization in machining of EN31‑535A99SS with interchangeable straight cemented tungsten carbide‑cobalt mixed (WC–Co) insert grade (CSTC—K20) using Taguchi coupled grey relational analysis

机译:使用Taguchi耦合灰色关联分析,在可互换直硬质碳化钨-钴混合(WC-Co)插入牌号(CSTC-K20)的EN31‑535A99SS加工中的多项性能优化

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摘要

EN31-535A99 SS is an advanced and high carbon chromium-molybdenum alloy steel offering a high degree of compressivestrength and abrasion resistance. Best suitable for machined components subjected to abrasive wear, swaging dies,press tools, roller bearings which do not merit a more complex quality. However, its machining is one of the challengingfields in the metal cutting industries due to the high hardness which results in low productivity and high manufacturingcost. In this paper a new interchangeable two phases straight cemented tungsten carbide-cobalt mixed (WC–Co)insert grade (CSTC—K20) tool has been introduced to obtain the optimal turning parameters for the multi-performancecharacteristics in the turning process by Taguchi coupled grey relational analysis. The flank wear (Vbc) and surface finish(Ra) were considered as the performance characteristics while the cutting speed (V), feed rate (F) and depth of cut (D)as the controllable process parameters. Experiments were planned as per Taguchi L16 orthogonal array taking threeprocess parameters at four levels. The results revealed that the optimal parametric settings for multi-response becomescutting speed of 75 m/min, feed rate of 0.05 mm/tooth and depth of cut as 0.25 mm respectively. At this stage the surfaceroughness (R_a) reduced from 0.132 to 0.061 μm while tool flank wear (V_(bc)) reduced from 0.89 to 0.69 mm and the greyrelational grade enhanced up to 0.2867. The polynomial regression model presented higher R~2value as compared tolinear regression model. It is recommended that metal cutting industries could use these optimum approaches to reducethe material waste, manufacturing cost and increase productivity while machining of EN31-535A99 SS.
机译:EN31-535A99 SS是一种先进的高碳铬钼合金钢,具有很高的抗压强度强度和耐磨性。最适合遭受磨料磨损,型锻模具,压制工具,滚动轴承,它们的质量不高。然而,其加工是具有挑战性的之一金属切削行业的高硬度,导致低生产率和高制造量成本。本文提出了一种新的可互换的两相直硬质合金碳化钨-钴混合(WC–Co)引入了刀片等级(CSTC-K20)工具,以获得多功能刀具的最佳车削参数Taguchi结合灰色关联分析得出车削过程中的特征。侧面磨损(Vbc)和表面光洁度(Ra)被视为性能特征,而切削速度(V),进给速度(F)和切削深度(D)作为可控制的过程参数。根据Taguchi L16正交阵列计划了实验,需要三个四个级别的过程参数。结果表明,多响应的最佳参数设置变为切削速度为75 m / min,进给速度为0.05 mm /齿,切削深度为0.25 mm。在这个阶段表面粗糙度(R_a)从0.132微米降低至0.061微米,而刀具侧面磨损(V_(bc))从0.89微米降低至0.69毫米,灰色关系等级提高到0.2867。多项式回归模型的R〜2较高与之相比的价值线性回归模型。建议金属切割行业可以使用这些最佳方法来减少加工EN31-535A99 SS时材料浪费,制造成本增加,并提高了生产率。

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