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.
© 2020 by Walter de Gruyter Berlin/Boston
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Artikel in diesem Heft
- Title
- CONTENTS
- Materials Testing
- FACHBEITRÄGE
- Identification parameters for accident reconstruction software at frontal car impact
- Effects of adding Ni and Co on microstructure and gamma prime phase stability in Ni superalloy Inconel 738 with 1 wt.-% Al
- Light-weight design of automobile suspension components using topology and shape optimization techniques
- Development of a bond graph model for electromechanical actuators
- Research on the fatigue resistance of weld ends
- Effects of sections added to multi-cell square tubes on crash performance
- Analysis of the electrical discharge machining (EDM) performance on Ramor 550 armor steel
- The equilibrium optimization algorithm and the response surface-based metamodel for optimal structural design of vehicle components
- The mine blast algorithm for the structural optimization of electrical vehicle components
- Microstructure, Mechanical and Corrosion Behavior of Additively Manufactured Steel: A Review (Part 1)
- Identification of the concrete damage degree based on the principal component analysis of acoustic emission signals and neural networks
- Multi-response optimization of AA 8011 and 12 wt.-% fly ash composites
- Effects of process parameters on the formability of sheet metal during plastic injection forming
- Mechanical and thermal properties of PVC and polyurethane foam hybrid composites
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- BEZUGSQUELLEN