Multi-response modeling for sliding wear behavior of AA5052/TiC composites by stir casting: A comparative analysis using response surface methodology and fuzzy logic system

Abstract

The present research deals with the modeling of wear performance of AA5052 metal matrix composites (MMCs) reinforced by in-situ formed TiC particles using two methods, namely statistical-based non-linear regression and fuzzy logic system. A pin-on-disc apparatus is employed to obtain the wear data of the composites. Three different process parameters, namely weight percentage of TiC, sliding distance, and applied load are considered as the input variables, and the volumetric wear loss and coefficient of friction are taken as output variables of the wear process. Regression models are formulated to study the output responses based on the wear results. To check the significance and contribution of the various control parameters, analysis of variance method was performed. Further, confirmatory tests were also conducted to validate both the models. It has been observed that the sliding distance and applied load have shown a substantial effect on the volumetric wear loss. It is also observed that the coefficient of friction is found to be increased with the rise in the sliding distance. The novelty of the work lies in using fuzzy logic to establish the wear model for aluminum 5052 MMC. A comparative study is performed to analyze the prediction accuracy of the models for the wear characteristics of the aluminum composites. Consequently, this wear modeling investigation will give a better understanding the effect of parameters and the responses influence of wear phenomena of Al 5052/TiC composites, which further will help in developing wear components for industrial applications.

Effect of MWCNTs and heat treatment on coefficient of friction and wear characteristics of MWCNTs reinforced Al6082 composites under dry sliding condition

“…7 Reinforcement modification not only improves tribological performance but also enhances mechanical properties. Aluminum alloys can be reinforced with materials like TiC, 8 Al 2 O 3 , 9 SiC, 10 AlN, 11 B 4 C, 12 BN, 13 fly ash, 14,15 TiB 2 , 16 and carbonous materials such as graphite, 17 GNP, carbon nanotubes (CNTs), etc. Addition of hard reinforcement shields the surface of matrix material from severe damage during sliding resulting in low COF and wear.…”

Impact of AlN-SiC Nanoparticle Reinforcement on the Mechanical Behavior of Al 6061-Based Hybrid Composite Developed by the Stir Casting Route

“…Stir casting has a number of advantages, including being trouble-free, supple, and affordable, as well as producing multifunctional, bulkmanufacturing, and contour composite components that are free of dangerous reinforcing particles. Due to these distinguishing characteristics of the stir casting technique, a slew of new efforts has been made to create a variety of composites using this method [28,29]. e tensile, compression, and hardness properties of the stir cast Al-SiC-AlN hybrid composites with varied reinforcements have received only a cursory examination.…”

Development and characterization of Al2024/magnesium oxide/CNTs/ hybrid composites via stir casting method

“…In the literature, AMCs are reinforced with materials such as Al 2 O 3 , SiC, TiC, B 4 C, magnesium oxide (MgO), and carbon nanotubes (CNTs) to increase the thermal stability, compression strength and wear resistance of the matrix. [16][17][18][19][20] In the other words, the reinforcement materials are selected according to the processing technique and the expected aim like thermal stability, process-ability, mechanical, and economic features. The main purpose of producing composite is to increase the weak properties of the matrix while preserving its good properties.…”