Optimization of porosity behavior of hybrid reinforced titanium metal matrix composite through RSM, ANN, and GA for multi-objective parameters

Abstract Titanium matrix composites (TMCs) have high specific strength and stiffness, and high-temperature TMCs can reduce weight by up to 50% when compared with monolithic super alloys while preserving equal stiffness and strength in jet engine systems for propulsion. The purpose of this work exami...

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Autori principali:	Birhane Assefa Gemeda, Devendra Kumar Sinha, Getinet Asrat Mengesha, Satyam Shivam Gautam
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	SpringerOpen 2024-05-01
Serie:	Journal of Engineering and Applied Science
Soggetti:	Hybrid titanium metal matrix composite Porosity Response surface methodology Artificial neural networks Genetic algorithm
Accesso online:	https://doi.org/10.1186/s44147-024-00436-4
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