Process maps and regression models for the physio-thermo-mechanical properties of sintered Al7075-Molybdenum composite

Olaniran, Oladayo and Adewale Akinwande, Abayomi and Adesoji Adediran, Adeolu and Jen, Tien-Chien (2023) Process maps and regression models for the physio-thermo-mechanical properties of sintered Al7075-Molybdenum composite. Materials Letters, 332. p. 133527.

Full text not available from this repository.
Official URL: http://dx.doi.org/10.1016/J.MATLET.2022.133527

Abstract

The need for high strength and high-temperature performance Al 7075 is on the rise. Moreso, the process map and model for such a process is necessary. Present report involved the design of a process map for property optimization/minimization in the development of Al-7075 composite infused with thermally stable molybdenum (Mo) particles. Mo particles were varied at 5, 10, and 15 wt% while sintering temperature was varied at 350, 450, and 550 °C. Properties evaluated are porosity, sintered density, hardness, yield strength, elongation, elastic modulus, specific heat capacity and thermal conductivity. The obtained process maps showed varying proportions in minimizing/maximizing each response property. The developed models for each property response were validated to be fit in predicting the responses.

Item Type: Article
Subjects: T Technology > TN Mining engineering. Metallurgy
Depositing User: Engr Adeolu Adesoji ADEDIRAN
Date Deposited: 15 Jan 2024 11:05
Last Modified: 15 Jan 2024 11:05
URI: https://eprints.lmu.edu.ng/id/eprint/4194

Actions (login required)

View Item View Item