Open AccessOptimization and prediction of the hardness behaviour of LM4 + Si3N4 composites using RSM and ANN: A comparative study
Author(s) -
Srinivas Doddapaneni,
Sathyashankara Sharma,
G Gowrishankar,
Rajesh Nayak,
Nitesh Kumar,
Manjunath Shettar
Publication year - 2022
Publication title -
istrazivanja i projektovanja za privredu
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.25
H-Index - 13
eISSN - 1821-3197
pISSN - 1451-4117
DOI - 10.5937/jaes0-38109
Subject(s) - materials science , response surface methodology , indentation hardness , composite material , precipitation hardening , hardening (computing) , composite number , hardness , central composite design , scanning electron microscope , work hardening , precipitation , microstructure , machine learning , computer science , layer (electronics) , physics , meteorology
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