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Optimization of machining parameters under MQL turning of Ti-6AI-4V alloy with textured tool using multi-attribute decision-making methods

机译:多属性决策法优化带纹理刀具的Ti-6AI-4V合金MQL车削加工参数

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Purpose - This paper aims to focus on the application of multi-attribute decision-making methods (MADMs) to ascertain the optimal machining parameters while turning Ti-6AI-4V alloy under minimum quantity lubrication (MQL) conditions using Jatropha-curcas oil (JCO) bio-based lubricant. Design/methodology/approach - The experiments were designed and performed using Taguchi L27 design of experiments methodology. A total of 27 experiments were performed under MQL conditions using textured carbide cutting tools on which different MADMs like Analytic hierarchy process (AHP), Technique for order preference by similarity to ideal solution (TOPSIS) and Simple additive weighting (SAW) were implemented in an empirical manner to extract optimize machining parameters for turning of Ti-6AI-4V alloy under set of constrained conditions. Findings - The results evaluated through MADMs exhibit the optimized set of machining parameters (cutting speed V_c = 80 m/min, feed rate f= 0.05 mm/rev. and depth of cut a_p = 0.10 mm) for minimizing the average surface roughness (Ra), maximum flank wear (Vbmax), tangential cutting force (Fc) and cutting temperature (T). Further, analysis of variance (ANOVA) and traditional desirability function approach was applied and results of TOPSIS and SAW methods having optimal setting of parameters were compared as well as confirmation experiments were conducted to verify the results. A SEM analysis at lowest and highest cutting speeds was performed to investigate the tool wear patterns. At the highest speed, large cutting temperature generated, thereby resulted in chipping as well as notching and fracturing of the textured insert. Originality/value - The research paper attempted in exploring the optimized machining parameters during turning of difficult-to-cut titanium alloy (Ti-6AL-4V) with textured carbide cutting tool under MQL environment through combined approach of MADMs techniques. Ti-6AI-4V alloy has been extensively used in important aerospace components like fuselage, hydraulic tubing, bulk head, wing spar, landing gear, as well as bio-medical applications.
机译:目的-本文旨在着重于多属性决策方法(MADM)的应用,以确定在使用麻疯树油(JCO)进行最小量润滑(MQL)的条件下车削Ti-6AI-4V合金时的最佳加工参数。 )生物基润滑剂。设计/方法/方法-使用田口L27设计实验方法来设计和执行实验。在MQL条件下,使用带纹理的硬质合金切削刀具进行了总共27个实验,在该刀具上使用了不同的MADM,例如,层次分析法(AHP),类似于理想解决方案的订单偏好技术(TOPSIS)和简单添加剂加权(SAW)。以经验方式提取一组约束条件下的Ti-6Al-4V合金车削的最佳加工参数。发现-通过MADM评估的结果显示出优化的加工参数集(切削速度V_c = 80 m / min,进给速度f = 0.05 mm / rev。和切削深度a_p = 0.10 mm),以最小化平均表面粗糙度(Ra ),最大侧面磨损(Vbmax),切向切削力(Fc)和切削温度(T)。此外,应用方差分析(ANOVA)和传统的期望函数方法,比较了具有最佳参数设置的TOPSIS和SAW方法的结果,并进行了验证实验以验证结果。进行了最低和最高切削速度的SEM分析,以研究刀具的磨损方式。以最高的速度产生较大的切削温度,从而导致纹理化刀片的碎裂,开槽和断裂。原创性/价值-该研究论文试图通过结合MADMs技术,探索在MQL环境下用硬质合金刀具对难切削的钛合金(Ti-6AL-4V)进行车削时的最佳加工参数。 Ti-6Al-4V合金已广泛用于重要的航空航天组件,例如机身,液压油管,舱壁,翼梁,起落架以及生物医学应用。

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