Characteristics, Machinability Modeling, and Machining Performance Improvement of Graphene Reinforced Al-MMC Using CRSM and Utility Method

IF 1.2 4区材料科学 Q4 MATERIALS SCIENCE, MULTIDISCIPLINARY Journal of Superhard Materials Pub Date : 2023-09-29 DOI:10.3103/S1063457623040020

Manojit Das, Soumya R. Parimanik, Trupti Ranjan Mahapatra, Debadutta Mishra, Dilip Kumar Sahu

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Abstract

A

bstract—The present experimental research examines the machinability of graphene-based aluminium metal matrix composite (AMMC) using a polycrystalline diamond (PCD) carbide-insert tool under a dry environment and compared it with that of pure aluminium. The AMMCs are synthesized by reinforcing 0, 0.5, 1, 2, and 3 wt % of graphene particles via the stir casting process and are characterized for their density, tensile, compression, micro-hardness, and morphological properties. Response optimization is performed to minimize the two surface roughness factors (R_a and R_z), power consumption and vibration (average acceleration). The central composite design-based response surface methodology (CRSM) is implemented for planification of the experimentation and subsequent higher-order regression response modelling of the actual process outputs is obtained. The characterization and machinability of AMMCs incorporating higher (1, 2, and 3 wt %) of graphene is first time investigated alongside multi-performance (R_a, R_z, power consumption, and vibration) optimization. The optimal combination of the process parameters resulting in simultaneous minimization of all the responses is also acquired using the Utility concept, compared to those obtained using the desirability approach in RSM and validated by conducting the confirmatory test. Improvement in surface roughness values (7.85 and 36.26% for R_a and R_z, respectively) and average acceleration (18.09%) are observed via the Utility method in comparison to the CRSM. Enhanced output results in comparison to pure aluminium are also observed.

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用CRSM和实用方法改进石墨烯增强铝基复合材料的特性、可加工性建模和加工性能

摘要——本实验研究使用聚晶金刚石（PCD）硬质合金嵌入工具，在干燥环境下考察了石墨烯基铝金属基复合材料（AMMC）的可加工性，并将其与纯铝进行了比较。AMMCs是通过搅拌铸造工艺增强0、0.5、1、2和3wt%的石墨烯颗粒而合成的，并对其密度、拉伸、压缩、显微硬度和形态特性进行了表征。执行响应优化以最小化两个表面粗糙度因子（Ra和Rz）、功耗和振动（平均加速度）。基于中央组合设计的响应面方法（CRSM）用于实验的规划，并获得实际过程输出的后续高阶回归响应建模。首次在多性能（Ra、Rz、功耗和振动）优化的同时，研究了掺入更高（1、2和3wt%）石墨烯的AMMCs的表征和可加工性。与使用RSM中的合意性方法获得的过程参数相比较，使用效用概念也获得了导致所有响应同时最小化的过程参数的最佳组合，并通过进行验证测试进行了验证。与CRSM相比，通过效用法观察到表面粗糙度值（Ra和Rz分别为7.85%和36.26%）和平均加速度（18.09%）的改善。与纯铝相比，还观察到了增强的输出结果。

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来源期刊

Journal of Superhard Materials MATERIALS SCIENCE, MULTIDISCIPLINARY-

CiteScore

1.80

自引率

66.70%

发文量

审稿时长

2 months

期刊介绍： Journal of Superhard Materials presents up-to-date results of basic and applied research on production, properties, and applications of superhard materials and related tools. It publishes the results of fundamental research on physicochemical processes of forming and growth of single-crystal, polycrystalline, and dispersed materials, diamond and diamond-like films; developments of methods for spontaneous and controlled synthesis of superhard materials and methods for static, explosive and epitaxial synthesis. The focus of the journal is large single crystals of synthetic diamonds; elite grinding powders and micron powders of synthetic diamonds and cubic boron nitride; polycrystalline and composite superhard materials based on diamond and cubic boron nitride; diamond and carbide tools for highly efficient metal-working, boring, stone-working, coal mining and geological exploration; articles of ceramic; polishing pastes for high-precision optics; precision lathes for diamond turning; technologies of precise machining of metals, glass, and ceramics. The journal covers all fundamental and technological aspects of synthesis, characterization, properties, devices and applications of these materials. The journal welcomes manuscripts from all countries in the English language.