Multiobjective Optimization of EDM Parameters for Rice Husk Ash/Cu/Mg-Reinforced Hybrid Al-0.7Fe-0.6Si-0.375Cr-0.25Zn Metal Matrix Nanocomposites for Engineering Applications: Fabrication and Morphological Analysis

The advanced class of Al/(RHA+Mg+Cu) hybrid metal matrix nanocomposites (MMNCs) has exhibited superior physical, and mechanical properties with superior wettability and chemical compatibility. This work has also been reported on the machining and multiobjective optimization of process variables for the machining of Al/(RHA+Mg+Cu) hybrid MMNCs on EDM using L27 Taguchi’s orthogonal array integrated with Grey rational analysis (GRA). The primarily target goal of this study is to produce nanocomposite having better properties with minimal production cost, with the use of reinforcement rice husk ash (RHA). RHA is utilized in the base matrix of Al 6061 at wt.% of 6, 8, and 10. On the other hand, the elements such as Cu and Mg are placed fixed, i.e., 3 wt.% and 1 wt.%, respectively. The hardness, tensile strength, and impact strength of the nanocomposites increased with the maximum increment of 35.11%, 15.76%, and 16.67%, respectively, as compared to neat composite. Further, the purpose of this investigation was to determine the effect of various factors such as the percentage of RHA in the workpiece electrode (W), the discharge current (I), the voltage (V), the duty factor (τ), the pulse-on time (Ton), and the flushing pressure (P) on the material removal rate (MRR), the surface roughness (SR), and the tool wear rate (TWR) during the machining of hybrid nanocomposites using Taguchi’s approach. The results revealed that MRR decreased with increasing the RHA content in the workpiece which can be reasoned to isolating nature of the RHA. It clearly shows that SR has decreased with an addition of RHA content from 6 wt.% to 8 wt.% in workpiece, but it slightly increased by further addition of RHA from 8 wt.% to 10 wt.%. SR has decreased with an increase in duty factor while performing EDM trials with the copper electrode, but it slightly increases with a further increase in duty factor. By the increase in pulse-on time, spark energy also increases also leading to the formation of craters. Therefore, SR has increased with an increase in pulse-on time. The TWR has increased with an increase in RHA content in the workpiece, because of the existence of hard reinforcements on the matrix which causes larger wear in the tool. Analysis of SEM micrographs showed the presence of voids, shallow and deep craters, and black voids on the machined surface of the fabricated hybrid nanocomposites. As calculated using the response graph for GRG, confirmation tests for optimal parametric setting show improvement over initial parametric setting of machining parameters. The mean of optimal MRR, SR, and TWR is estimated at the significant level of machining factors at A1B3C3D2E3F1, A2B1C1D2E1F3, and A1B1C1D1E1F3, respectively.

[1]  S. Chattopadhyaya,et al.  Effect of ball-milling process parameters on mechanical properties of Al/Al2O3/collagen powder composite using statistical approach , 2021, Journal of Materials Research and Technology.

[2]  N. S. Kalsi,et al.  Investigation on the mechanical, tribological, morphological and machinability behavior of stir-casted Al/SiC/Mo reinforced MMCs , 2021 .

[3]  Shubham Sharma,et al.  Influence of Nano-CuO on Synthesis and Mechanical Behavior of Spent Alumina Catalyst and Grinding Sludge Reinforced Aluminum Based Composite , 2021, International Journal of Metalcasting.

[4]  S. Chattopadhyaya,et al.  Investigation on mechanical, tribological and microstructural properties of Al–Mg–Si–T6/SiC/muscovite-hybrid metal-matrix composites for high strength applications , 2021 .

[5]  R. Agrawal,et al.  Effect of Friction Stir Process Parameters on Mechanical Properties of Chrome Containing Leather Waste Reinforced Aluminium Based Composite , 2021, International Journal of Precision Engineering and Manufacturing-Green Technology.

[6]  Shubham Sharma,et al.  Influence of SAC and eggshell addition in the physical, mechanical and thermal behaviour of Cr reinforced aluminium based composite , 2021 .

[7]  N. S. Kalsi,et al.  Comparative study on the mechanical, tribological, morphological and structural properties of vortex casting processed, Al–SiC–Cr hybrid metal matrix composites for high strength wear-resistant applications: Fabrication and characterizations , 2020 .

[8]  M. Ghosh,et al.  Mechanical properties and age hardening response of Al6061 alloy based composites reinforced with fly ash , 2020 .

[9]  D. K. Sharma,et al.  Manufacturing of metal matrix composites: A state of review , 2020 .

[10]  M. Ravichandran,et al.  A Taguchi coupled desirability function analysis of wire cut EDM behaviour of titanium dioxide filled aluminium matrix composite , 2020 .

[11]  Ashiwani Kumar,et al.  Mechanical and dry sliding wear behaviour of B4C and rice husk ash reinfroced Al 7075 alloy hybrid composite for armors application by using taguchi techniques , 2020 .

[12]  R. Agrawal,et al.  Fabrication, microstructural and mechanical behavior of Al-Al2O3-SiC hybrid metal matrix composites , 2020 .

[13]  A. Srivastava Assessment of mechanical properties and EDM machinability on Al6063/SiC MMC produced by stir casting , 2020 .

[14]  H. Singh,et al.  Developments in the aluminum metal matrix composites reinforced by micro/nano particles – A review , 2020, Journal of Composite Materials.

[15]  Shubham Sharma,et al.  Fabrication and optimization of hybrid AA-6082-T6 alloy/8%Al2O3(Alumina)/2%Grp metal matrix composites using novel Box-Behnken methodology processed by wire-sinking electric discharge machining , 2019, Materials Research Express.

[16]  Mohd Bilal Naim Shaikh,et al.  Morphological characterization, statistical modelling and tribological behaviour of aluminum hybrid nanocomposites reinforced with micro-nano-silicon carbide , 2019, Journal of Asian Ceramic Societies.

[17]  R. Muraliraja,et al.  A review on the production of metal matrix composites through stir casting – Furnace design, properties, challenges, and research opportunities , 2019, Journal of Manufacturing Processes.

[18]  Mohd Bilal Naim Shaikh,et al.  Rice husk ash reinforced aluminium matrix composites: fabrication, characterization, statistical analysis and artificial neural network modelling , 2019, Materials Research Express.

[19]  Shubham Sharma,et al.  PARAMETRIC OPTIMIZATION OF RICE HUSK ASH, COPPER, MAGNESIUM REINFORCED ALUMINIUM MATRIX HYBRID COMPOSITE PROCESSED BY EDM , 2019 .

[20]  Shouvik Ghosh,et al.  Wear characteristics optimization of Al6061-Rice husk ash metal matrix composite using Taguchi method , 2019, Materials Today: Proceedings.

[21]  Shouvik Ghosh,et al.  Friction performance optimization of Al6061-rice husk ash metal matrix composite using Taguchi method , 2019, Materials Today: Proceedings.

[22]  Shubham Sharma,et al.  Influence of rice husk ash , Cu , Mg on the mechanical behaviour of Aluminium Matrix hybrid composites , 2019 .

[23]  Jianguang Li,et al.  A review on machining and optimization of particle-reinforced metal matrix composites , 2018, The International Journal of Advanced Manufacturing Technology.

[24]  G. Arora,et al.  A Comparative Study of AA6351 Mono-Composites Reinforced with Synthetic and Agro Waste Reinforcement , 2018 .

[25]  Mohd Bilal Naim Shaikh,et al.  Fabrication and characterization of aluminium hybrid composites reinforced with fly ash and silicon carbide through powder metallurgy , 2018 .

[26]  Anil Kumar Bodukuri,et al.  Experimental Investigation and optimization of EDM process parameters on Aluminum metal matrix composite , 2018 .

[27]  J. Kumar,et al.  Optimization of electrical discharge machining AA6061/ 10 %Al2O3 composite using Taguchi optimization technique , 2018 .

[28]  R. Rana,et al.  Effect of Rice Husk ash Reinforcements on Mechanical properties of Aluminium alloy (LM6) Matrix Composites , 2018 .

[29]  J. Davim,et al.  Microstructure and wear characterization of rice husk ash reinforced copper matrix composites prepared using friction stir processing , 2017 .

[30]  M. Kazazi,et al.  Microstructure and mechanical properties of Al-nano/micro SiC composites produced by stir casting technique , 2016 .

[31]  S. Kumaran,et al.  An analysis of mechanical properties and optimization of EDM process parameters of Al 4032 alloy reinforced with Zrb2 and Tib2 in-situ composites , 2016 .

[32]  K. Alaneme,et al.  Microstructural characteristics, mechanical and wear behaviour of aluminium matrix hybrid composites reinforced with alumina, rice husk ash and graphite , 2015 .

[33]  H. M. Zakaria Microstructural and corrosion behavior of Al/SiC metal matrix composites , 2014 .

[34]  Sanjeev Kumar,et al.  ED Machining of Particulate Reinforced MMC’s , 2014 .

[35]  S. A. Kori,et al.  Preparation of 6061Al-Al2O3 MMC's by Stir Casting and Evaluation of Mechanical and Wear Properties , 2014 .

[36]  M. Uthayakumar,et al.  Electrical discharge machining of Al (6351)-5% SiC-10% B 4 C hybrid composite: a grey relational approach , 2014 .

[37]  K. Alaneme,et al.  Corrosion and wear behaviour of Al-Mg-Si alloy matrix hybrid composites reinforced with rice husk ash and silicon carbide , 2014 .

[38]  K. Manisekar,et al.  Investigation of microstructure and mechanical properties of aluminum hybrid nano-composites with the additions of solid lubricant , 2013 .

[39]  K. Alaneme,et al.  Corrosion and wear behaviour of rice husk ash—Alumina reinforced Al–Mg–Si alloy matrix hybrid composites , 2013 .

[40]  Jean-Pierre Kruth,et al.  Historical Phases of EDM Development Driven by the Dual Influence of “Market Pull” and “Science Push” , 2013 .

[41]  Vishal S. Sharma,et al.  Review of research work in sinking EDM and WEDM on metal matrix composite materials , 2010 .

[42]  P. Asokan,et al.  EDM of hybrid Al–SiCp–B4Cp and Al–SiCp–Glassp MMCs , 2009 .

[43]  Ulaş Çaydaş,et al.  Optimization of turning parameters for surface roughness and tool life based on the Taguchi method , 2008 .

[44]  R. Purohit,et al.  Mathematical modeling of electric discharge machining of cast Al-4Cu-6Si alloy-10wt.% SiCp composites , 2007 .

[45]  C. Butler,et al.  A primer on the Taguchi method , 1992 .