30pm1-F-5 Atomistic modeling and mechanical property prediction of heat curing resin : Approach by combination of Materials Studio and Abaqus

2015 ◽  
Vol 2015.7 (0) ◽  
pp. _30pm1-F-5-_30pm1-F-5
Author(s):  
Satoru Yamamoto ◽  
Riichi Kuwahara ◽  
Tetsuya Nagata ◽  
Tsuguo Morisato ◽  
Tomonaga Okabe ◽  
...  
Keyword(s):  
Mechanical Property ◽  
Atomistic Modeling ◽  
Property Prediction ◽  
Heat Curing ◽  
Mechanical Property Prediction ◽  
Materials Studio

scholarly journals Mechanical property prediction of SPS processed GNP/PLA polymer nanocomposite using artificial neural network

2020 ◽  
Vol 7 (1) ◽  
pp. 1720894 ◽  
Author(s):  
O. T. Adesina ◽  
T. Jamiru ◽  
I. A. Daniyan ◽  
E. R. Sadiku ◽  
O. F. Ogunbiyi ◽  
...  
Keyword(s):  
Neural Network ◽  
Mechanical Property ◽  
Artificial Neural Network ◽  
Polymer Nanocomposite ◽  
Property Prediction ◽  
Mechanical Property Prediction ◽  
Artificial Neural

Mechanical property prediction of starch/polymer composites by molecular dynamics simulation

RSC Advances ◽  
2014 ◽  
Vol 4 (22) ◽  
pp. 11475-11480 ◽  
Author(s):  
Yao-Chun Wang ◽  
Shin-Pon Ju ◽  
Chien-Chia Chen ◽  
Hsin-Tsung Chen ◽  
Jin-Yuan Hsieh
Keyword(s):  
Mechanical Properties ◽  
Mechanical Property ◽  
Molecular Dynamics ◽  
Molecular Dynamics Simulation ◽  
Polymer Composites ◽  
Md Simulation ◽  
Dynamics Simulation ◽  
Property Prediction ◽  
Mechanical Property Prediction

Molecular dynamics (MD) simulation was used to investigate the mechanical properties of several starch composites.

Online mechanical property prediction system for hot rolled IF steel

2014 ◽  
Vol 41 (8) ◽  
pp. 618-627 ◽  
Author(s):  
I. Mohanty ◽  
S. Sarkar ◽  
B. Jha ◽  
S. Das ◽  
R. Kumar
Keyword(s):  
Mechanical Property ◽  
Prediction System ◽  
If Steel ◽  
Property Prediction ◽  
Mechanical Property Prediction ◽  
Hot Rolled
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