Residual Stress Prediction Using Neural Network Approach

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Abstract:

Procedures for residual stress evaluation by using Ring-Core method have not been standardized. Most common techniques are derived from the ones used for similar semi-destructive hole-drilling method. The differences between research approaches can cause significant errors. New approach using neural network is proposed as a more adaptive way for residual stress evaluation than the commonly used methods.

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436-440

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August 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] F. Menda, F. Trebuňa, P. Šarga, Determination of the Necessary Geometric Parameters of the Specimen in Ring-Core Method. Applied Mechanics and Materials, 486, p.90, 2014, ISSN: 1662-7482.

DOI: 10.4028/www.scientific.net/amm.486.90

Google Scholar

[2] A. Civín, Komplexní teoretická analýza metody sloupku pro zjišťování zbytkových napětí, Brno: Vysoké učení technické v Brně, Fakulta strojního inženýrství, 2012. 130 p.

Google Scholar

[3] A. Ajovalasit, G. Petrucci, B. Zuccarello. Determination of Nonuniform Residual Stresses Using the Ring‐Core Method, Transactions of the ASME – Journal of Engineering Materials and Technology, April 1996, Vol. 118, no. 2, p.224‐228.

DOI: 10.1115/1.2804891

Google Scholar

[4] ASTM International Designation E 837‐13a: Standard Test Method for Determining Residual Stresses by the Hole‐Drilling Strain Gauge Method, United States, 2013, 16 p.

Google Scholar

[5] F. Menda, P. Šarga, E. Prada, F. Trebuňa, SolidWorks API for Ring-Core simulations, SAMI 2014: IEEE 12th International Symposium on Applied Machine Intelligence and Informatics: January 23-25, 2014, Herľany, Slovakia. Danvers: IEEE, 2014, S. 151-155. ISBN 978-1-4799-3441-6.

DOI: 10.1109/sami.2014.6822397

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