scholarly journals Thermal and Dry Sliding Wear Behavior of Plasma Sprayed Red Mud-Fly Ash Coatings on Mild Steel

2018 ◽  
Vol 40 (1) ◽  
pp. 117-128 ◽  
Author(s):  
H. Sutar ◽  
D. Roy ◽  
S.C. Mishra ◽  
S. Patra ◽  
R. Murmu
2016 ◽  
Vol 19 (2) ◽  
pp. 710-716 ◽  
Author(s):  
Ashutosh Pattanaik ◽  
Mantra Prasad Satpathy ◽  
Subash Chandra Mishra

2020 ◽  
Vol 62 (5) ◽  
pp. 525-534
Author(s):  
S. Magibalan ◽  
P. Senthilkumar ◽  
C. Senthilkumar ◽  
M. Prabu

Abstract The present research work is focused on the production of aluminum alloy 8011 with 12 wt.-% fly ash composite by using the stir casting method. A three-level central composite design experiment is developed using response surface methodology (RSM) with various parameters. Load, time and sliding velocity are varied in the range of (5-15 N), (5-15 min) and (1.5-4.5 m × s-1), respectively. Dry sliding wear tests are performed as per the experimental design using a pin-on-disc at room temperature. This paper describes how optimization studies were carried out on a dry sliding wear process with multi-response characteristics based on MCDM using the TOPSIS approach. The process parameters, load, time and sliding velocity are optimized with multi-response characteristics, including the wear rate (WR), and the coefficient of friction (COF). A sensitivity analysis is also carried out and compared with the relative impact of input parameters on wear behavior in order to verify the measurement errors on the values of the uncertainty in estimated parameters. The experimental results indicate that the multi-response characteristics of aluminum alloy 8011 with 12 wt.-% fly ash composite used during the wear behavior process can be enhanced through the TOPSIS method.


2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Rajesh Shanmugavel ◽  
Thirumalai Kumaran Sundaresan ◽  
Uthayakumar Marimuthu ◽  
Pethuraj Manickaraj

This work presents the application of hybrid approach for optimizing the dry sliding wear behavior of red mud based aluminum metal matrix composites (MMCs). The essential input parameters are identified as applied load, sliding velocity, wt.% of reinforcement, and hardness of the counterpart material, whereas the output responses are specific wear rate and Coefficient of Friction (COF). The Grey Relational Analysis (GRA) is performed to optimize the multiple performance characteristics simultaneously. The Principle Component Analysis (PCA) and entropy methods are applied to evaluate the values of weights corresponding to each output response. The experimental result shows that the wt.% of reinforcements (Q=34.9%) followed by the sliding velocity (Q=34.5%) contributed more to affecting the dry sliding wear behavior. The optimized conditions are verified through the confirmation test, which exhibited an improvement in the grey relational grade of specific wear rate and COF by 0.3 and 0.034, respectively.


2015 ◽  
Vol 24 (6) ◽  
pp. 2303-2311 ◽  
Author(s):  
Arpita Banerjee ◽  
Vedavyas Tungala ◽  
Kasturi Sala ◽  
Koushik Biswas ◽  
Joydeep Maity

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