Assessing the Mechanical Properties of a New High Strength Aluminum Hybrid MMC Based on the ANN Approach for Automotive Application

Abstract

Aluminum-based composites with characteristics such as low density and high strength to weight ratio have been identified to be one of the best-emerging alternatives. The lightweight composite is gaining popularity, particularly in the automotive industry. The composite’s qualities make it a prospective material to replace significant materials that are now used in the automobile industry. For lightweight products, various weight reduction solutions were proposed. In the present work, one such lightweight composite was fabricated by using a stir casting process, which includes reinforcement powders viz. carbon nanotube and fly ash to pure aluminum. The use of fly ash helps in reducing the overall associated cost of the material as well as provides low density. The work aims to identify the amount of fly ash (by weight %) suitable to avail good mechanical properties. In concern with the mechanical properties, density, yield strength, ultimate tensile strength, and wear resistance of the composite specimen were examined. Moreover, the artificial neural network was adopted to identify minimum volumetric wear for a given set of conditions. From the results, it was perceived that with the increase in fly ash content, the volumetric wear of the fabricated composite decreases. However, with the increase in load and speed, the volumetric wear rate increases.

Micro-mechanical and tribological behavior of Al/SiC/B4C/CNT hybrid nanocomposite

“…For a better mechanical outcome, the reinforcement composition has been chosen based on prior literature 26 , 31 . CNT was mixed of 2 vol% to the matrix materials because it demonstrated improved wear and mechanical characteristics 4 .…”

“…Aluminum hybrid composites (AHCs) are widely employed in a variety of industries, including automotive, marine, military, aerospace, constructions, and transportation, where high material strength is required to withstand induced stresses 1 – 4 . AHCs are widely used due to their superior mechanical qualities.…”

Mechanical and wear characteristics of (Al7075/SiC/Gr/Zr) hybrid metal matrix composites using ultrasonic assisted stir casting process

“…Wear and mechanical investigations were done on Al/ CF/SiC mixture of metal matrix composites is result in improvement of wear, coefficient of friction and mechanical properties on 6% composition. Nirala et al [8] casted Al/Fly ash/CNT composite metal using casting method of stir process. The idea is to inspect the wear, mechanical and microstructure properties.…”

Optimizing strength of directly recycled aluminum chip-based parts through a hybrid RSM-GA-ANN approach in sustainable hot forging

“…Typically, the input is weighted, and the bias is added to its value before passing through the activation function [42]. The architecture and algorithm of the network determine its prediction accuracy and learning rate [43]. Among the various ANN algorithms and activation functions, backpropagation and the ReLU function are deemed more appropriate for processing regression data [44][45][46][47].…”