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

• Published in: Materials letters 2023-02, Vol.332, p.133527, Article 133527
• Main Authors: Olaniran, Oladayo, Adewale Akinwande, Abayomi, Adesoji Adediran, Adeolu, Jen, Tien-Chien
• Format: Article
• Language: English
• Subjects: Composite materials; Powder technology; Simulation and modelling, thermal properties
• ISSN: 0167-577X; 1873-4979
• DOI: 10.1016/j.matlet.2022.133527

•Models and process maps for the property responses of Al 7075-molybdenum composite were reported.•The developed regression models were validated to fit for the prediction of the property response.•The process maps show varying combination of the process parameters. 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.