Application of Computational Intelligence and Knowledge-Based System in Predicting Flow Stress of AISI 4340
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://link.springer.com/content/pdf/10.1007/s13369-014-1402-2.pdf
Reference37 articles.
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4. Daridon L., Oussouaddi O., Ahzi S.: Influence of the material constitutive models on the adiabatic shear band spacing: MTS, power law and Johnson–Cook models. Int. J. Solids Struct. 41, 3109–3124 (2004)
5. Rule W.K., Jones S.E.: A revised form for the Johnson–Cook strength model. Int. J. Impact Eng. 21(8), 609–624 (1998)
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1. Predict the flow stress of the hardness for AISI 4340;The International Journal of Advanced Manufacturing Technology;2020-10-28
2. An equivalent generating algorithm to model fuzzy Petri net for knowledge-based system;Journal of Intelligent Manufacturing;2017-08-22
3. A Modified Eyring Equation for Modeling Yield and Flow Stresses of Metals at Strain Rates Ranging from 10−5to 5 × 104 s−1;Advances in Materials Science and Engineering;2015
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