2 papers
cond-mat.mtrl-sci2023
Experimentally validated and empirically compared machine learning approach for predicting yield strength of additively manufactured multi-principal element alloys from Co-Cr-Fe-Mn-Ni system
Abhinav Chandraker, Sampad Barik, Nichenametla Jai Sai +1
Traditionally, yield strength prediction relies on detailed and resource-intensive microstructural characterization combined with empirical equations. However, quantifying microstr…
cond-mat.mtrl-sci2023
Towards reducing tension-compression yield and cyclic asymmetry in pure magnesium and magnesium-aluminum alloy with cerium addition
Shubham Sisodia, Jananandhan S, Vamsi Krishna Pakki +2
In this study, we report the effect of cerium (Ce) addition on the tension-compression yield and cyclic asymmetry in commercially pure magnesium (Cp-Mg) and Mg-Al alloy at room tem…