Synthesis of AA8050/B4C/TiB2 Hybrid Nanocomposites and Evaluation of Computer‐Aided Machining Parameters

材料科学 田口方法 机械加工 纳米复合材料 表面粗糙度 正交数组 可加工性 复合材料 表面光洁度 冶金
作者
T. Sathish,V. Mohanavel,Thandavamoorthy Raja,Asiful H. Seikh,M. H. Siddique,Ram Subbiah,Beruk Hailu
出处
期刊:Journal of Nanomaterials [Hindawi Publishing Corporation]
卷期号:2022 (1) 被引量:2
标识
DOI:10.1155/2022/9745418
摘要

This research focusses on synthesizing the hybrid nanocomposite samples with AA8050 and the reinforcement of B 4 C and TiB 2 nanoparticles at 3 different quality grades. To investigate their machinabilities on the prepared composites in the computer‐aided machining centre, the objectives are maximizing the material removal rate (MRR) and minimizing the surface roughness for a specific application. Stir casting process was employed in synthesizing the hybrid nanocomposite samples. Utilizing CNC turning centre was employed to investigate machinability performance on hybrid nanocomposite samples. The PVD‐coated HSS tool and dry cutting environment were considered. The quality of machining was investigated by observing the surface roughness on the machined surfaces of samples of hybrid nanocomposite. The machining rate was investigated through the response of material removal rate at as per Taguchi design of experiments L27 orthogonal array. The hybrid nanocomposite synthesizing parameter of contribution of nanoparticle reinforcement (8%, 10%, and 12%) and the Turing parameters include spindle speed (800 rpm, 1000 rpm, and 1200 rpm), machining feed (0.05 mm/rev, 0.10 mm/rev, and 0.15 mm/rev) and depth of cut (0.5 mm, 0.75 mm, and 1 mm). The best performing input levels were identified through Taguchi analysis and the involved input variables were analysed and prediction model developed through ANOVA. The maximum material removal rate and the minimum surface roughness were reordered as 1380 mm 3 /min.
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