Mechanical properties of acrylonitrile-butadiene-styrene - FEA simulated dataset
Mechanical properties of acrylonitrile-butadiene-styrene - FEA simulated dataset
This material is a supplement to the paper "Estimation of mechanical properties of acrylonitrile-butadiene-styrene for additive manufacturing using artificial neural network and LM-BP optimisation method" by G. A. Munshi, Venkatesh M. Kulkarni, and Shanoorbaba Yargatti. This dataset pertains to the use of LHS methodology for generating unique, uniform, and randomly distributed ABS samples across the defined parameter space. Additionally, FEA simulations for each ABS composition provide tensile strength, compressive strength, bending strength, impact strength and hardness which serve as the training dataset for the ANN model.
Artificial Neural Network (ANN), Finite Element Analysis (FEA), Mechanical Properties, Latin Hypercube Sampling (LHS), Acrylonitrile-Butadiene-Styrene (ABS)
Artificial Neural Network (ANN), Finite Element Analysis (FEA), Mechanical Properties, Latin Hypercube Sampling (LHS), Acrylonitrile-Butadiene-Styrene (ABS)
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