Artificial Neural Networks and Genetic Algorithm Used to Optimize Process Parameters of Reaction-sintered ZrO_2-SiC(p) Ceramics
Source abstract
Abstract
The effects of reaction-sintering temperature and time, forming pressure, carbon black contentand Fe powder content on in-situ SiC powder content in reaction-sintered ZrO2-SiC(p) ceramicswere studied by using artificial neural networks. The optimum process parameters were optimizedwith genetic algorithm.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Powder Metallurgy Techniques and Materials · Advanced Numerical Analysis Techniques · Advanced ceramic materials synthesis
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