Artificial neural network technique to predict dynamic fracture of particulate composite
Author:
Affiliation:
1. Department of Civil Engineering, Indian Institute of Technology Jammu, India
2. Department of Mechanical Engineering, Indian Institute of Technology Jammu, India
3. Stanley Black and Decker, USA
Abstract
Publisher
SAGE Publications
Subject
Materials Chemistry,Mechanical Engineering,Mechanics of Materials,Ceramics and Composites
Link
http://journals.sagepub.com/doi/pdf/10.1177/0021998320911418
Reference18 articles.
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5. Effect of filler shape, volume fraction and loading rate on dynamic fracture behavior of glass-filled epoxy
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