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

Oladayo Olaniran, Abayomi Adewale Akinwande, Adeolu Adesoji Adediran, Tien Chien Jen

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

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.

Original languageEnglish
Article number133527
JournalMaterials Letters
Volume332
DOIs
Publication statusPublished - 1 Feb 2023

Keywords

  • Composite materials
  • Powder technology
  • Simulation and modelling, thermal properties

ASJC Scopus subject areas

  • General Materials Science
  • Condensed Matter Physics
  • Mechanics of Materials
  • Mechanical Engineering

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