Computational methods for predicting material processing defects

proceedings of the International Conference on Computational Methods for Predicting Material Processing Defects, September 8-11, 1987, Cachan, France by International Conference on Computational Methods for Predicting Material Processing Defects (1987 Cachan, France)

Publisher: Elsevier in Amsterdam, New York

Written in English
Cover of: Computational methods for predicting material processing defects | International Conference on Computational Methods for Predicting Material Processing Defects (1987 Cachan, France)
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Subjects:

  • Metal-work -- Congresses.,
  • Metals -- Defects -- Congresses.,
  • Prediction theory -- Congresses.

Edition Notes

Statementedited by M. Predeleanu.
SeriesStudies in applied mechanics ;, 15
ContributionsPredeleanu, M.
Classifications
LC ClassificationsTS213 .I53 1987
The Physical Object
Paginationviii, 366 p. :
Number of Pages366
ID Numbers
Open LibraryOL2392719M
ISBN 100444428593
LC Control Number87022210

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Computational methods for predicting material processing defects by International Conference on Computational Methods for Predicting Material Processing Defects (1987 Cachan, France) Download PDF EPUB FB2

The papers in this book deal with computational methods for predicting material processing defects. Using recent advances in finite strain plasticity and viscoplasticity, damage modelling, bifurcation and instability theory, fracture mechanics and computer numerical techniques, new approaches to mechanical defect analysis are Edition: 1.

Read the latest chapters of Studies in Applied Mechanics atElsevier’s leading platform of peer-reviewed scholarly literature Help; Studies in Applied Mechanics. Latest volume All volumes. Search in this book series. Computational Methods for Predicting Material Processing Defects.

Edited by M. Predeleanu. Volume Journal of Mechanical Working Technology, 16 () Elsevier Science Publishers B.V., Amsterdam -- Printed in The Netherlands Meeting Report REPORT ON THE INTERNATIONAL CONFERENCE ON COMPUTATIONAL METHODS FOR PREDICTING MATERIAL PROCESSING DEFECTS (STRUCMAT 87) S.K.

GHOSH Department of Mechanical and Author: S.K. Computational methods for predicting material processing defects book, M. Predeleanu. The papers in this book deal with computational methods for predicting material processing defects.

Using recent advances in finite strain plasticity and viscoplasticity, damage modelling, bifurcation and instability theory, fracture mechanics and computer numerical techniques, new approaches to mechanical defect analysis are proposed.

Get this from a library. Computational methods for predicting material processing defects: proceedings of the International Conference on Computational Methods for Predicting Material Processing Defects, September, Cachan, France.

[M Predeleanu;]. International Conference on Computational Methods for Predicting Material Processing Defects ( Cachan, France). Computational methods for predicting material processing defects. Amsterdam ; New York: Elsevier, (DLC) (OCoLC) Material Type: Conference publication, Document, Internet resource: Document Type.

Purchase Advanced Methods in Materials Processing Defects, Volume 45 - 1st Edition. Print Book & E-Book. ISBNBook Edition: 1. Computational Methods for Electronâ Molecule Collisions (The Language of Science) by Gianturco, Franco A.

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By approaching the cross-disciplinary topic of numerical methods with a flexible approach, Computational Methods in Engineering encourages a well-rounded understanding of the subject. This book's teaching goes beyond the text―detailed exercises (with solutions), real examples of numerical methods in real engineering practices, flowcharts, and Cited by: 4.

Suggested Citation:"2 Theoretical Understanding of Materials Science and Mechanics."National Academies of Sciences, Engineering, and Medicine. Predictive Theoretical and Computational Approaches for Additive Manufacturing: Proceedings of a Workshop. Computational models learn how to predict material defects 21 February Dominant defect type predictions by the machine learning model for B2-type intermetallics; colors indicate the relationship between prediction and calculations, as shown in the legend.

Damage mechanics approach for predicting material processing defects M. Predeleanu Laboratoire de Mecanique et Technologie E. N.S. de Cachan - CNRS - Universitk Paris 6 France. Abstract Damage theory has been successfully introduced over the last two decades for predicting and avoiding the occurrence of defects in manufactured products.

An overview of computational fracture mechanics (CFM) is presented in the framework of a taxonomy of methods of representation of cracks in computational models.

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Pitre. The papers in this issue span the conference themes. There are process simulation papers devoted to formability of sheet metals, porosity growth in solid state welding, and voiding in polymer processing, as well as papers focusing on new methods to employ multiscale material representations in process : Paul R.

Dawson, Matthew P. Miller. Defects like cracks and dislocations evolve at nano scales and influence the macroscopic properties such as strength, toughness and ductility of a material.

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Various computational methods have been developed to predict the effects of Cited by: Prediction of Defects in Material Processing Mircea Predeleanu, Arnaud Poitou, Germaine Nefussi, Luc Chevalier Focuses on advanced methods for predicting and avoiding the occurrence of defects in manufactured products while considering major manufacturing operations as well as conventional and new materials such as metal alloys, ceramics.

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