63 citations · 101 across the 3 of their papers we have counts for
3 papers
Surrogate Neural Network Model for Sensitivity Analysis and Uncertainty Quantification of the Mechanical Behavior in the Optical Lens-Barrel Assembly
Shantanu Shahane, Erman Guleryuz, Diab W Abueidda +7
Surrogate neural network-based models have been lately trained and used in a variety of science and engineering applications where the number of evaluations of a target function is…
Optimization of Solidification in Die Casting using Numerical Simulations and Machine Learning
Shantanu Shahane, Narayana Aluru, Placid Ferreira +2
In this paper, we demonstrate the combination of machine learning and three dimensional numerical simulations for multi-objective optimization of low pressure die casting. The cool…
Finite Volume Simulation Framework for Die Casting with Uncertainty Quantification
Shantanu Shahane, Narayana Aluru, Placid Ferreira +2
The present paper describes the development of a novel and comprehensive computational framework to simulate solidification problems in materials processing, specifically casting p…