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Abstract

The impact of Garnet addition into the AL7075 Aluminium matrix on the physical, mechanical and corrosion properties are studied in this research paper. Al 7075/garnet composites are fabricated by using two-stage stir casting method in different (0, 5, 10, 15) volume percentages. Photomicrograph of prepared samples revealed the uniform distribution of garnet reinforcement into the base matrix. The corrosion rate is calculated by potentiodynamic polarization method. The actual density is increased by around 1.2% for Al 7075 / garnet (15%) composite as compared to base alloy. Micro hardness of Al 7075 / garnet (15%) composite is raised by around 47 (34%) compare to as cast base matrix. Al7075 / garnet (15%) composite tensile strength stood at 252 Mpa, which is 40% greater than the base alloy. Al 7075 / 15% garnet composites reduce around 97% of corrosion rate than the base matrix. Alloy elements influenced the corrosion than Garnet reinforcement.
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Authors and Affiliations

M. Sambathkumar
1
ORCID: ORCID
P. Navaneethakrishnan
1
ORCID: ORCID
K.S.K. Sasikumar
1
ORCID: ORCID
R. Gukendran
1
ORCID: ORCID
K. Ponappa
2
ORCID: ORCID

  1. Kongu Engineering College, Department of Mechanical Engineering, Erode, Tamilnadu, India
  2. Indian Institute of Information Technology Design and Manufacturing Jabalpur, Department of Mechanical Engineering, Jabalpur, India
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Abstract

2 wt.% TiB2 (mean particle size: 400 nm) reinforced Al 7075 metal matrix composites (MMCs) fabricated through mechanical stirring and ultrasonic agitation integrated squeeze casting process were subjected to electrical discharge machining (EDM) after determining the physical and mechanical properties. EDM was conducted with Cu electrode tools to investigate influence of machining factors, i.e. peak current (IP), pulse on time (TON) and gap voltage (VG) on the tool wear rate (TWR), material removal rate (MRR) and average surface roughness (ASR) of the machined surfaces. All the three responses increased on increasing IP and TON, but reduced on increasing VG. The machined surfaces were studied through scanning electron microscope (SEM). Significance of the EDM parameters on the individual responses were studied using analysis of variance (ANOVA) and regression models for the responses were developed using response surface method (RSM). The responses under consideration were optimized simultaneously using Taguchi embedded weighted principal component analysis (WPCA), which resulted the parametric combination of 4A (current), 100 μs (pulse duration) and 75V (voltage) was the optimal setting for the multi-criteria decision problem. Finally, the result of optimization was validated by conducting some confirmatory experiments.
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Authors and Affiliations

Rahul Chandra Pradhan
1
ORCID: ORCID
Diptikanta Das
1
ORCID: ORCID
Barada Prasanna Sahoo
1
ORCID: ORCID
Chiranjeeb Rout
1
ORCID: ORCID
Akash Panda
1
ORCID: ORCID
Evangelin Barla
1
ORCID: ORCID

  1. KIIT Deemed to be University, School of Mechanical Engineering, Bhubaneswar-751024, India

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