Prediction of Weld Bead Geometry in Chromium-Manganese Stainless Steel Gas Tungsten Arc Welded Plates Using Artificial Neural Networks

Publisher： IGI Global_journal

E-ISSN： 2156-1672|3|3|13-41

ISSN： 2156-1680

Source： International Journal of Manufacturing, Materials, and Mechanical Engineering (IJMMME), Vol.3, Iss.3, 2013-07, pp. : 13-41

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Development of an austenitic chromium-manganese steel with high hydrogen resistance

By Tkachov V.   Ivas’kevych L.   Vytvyts’kyi V.  

Materials Science, Vol. 41, Iss. 5, 2005-09 ,pp. : 673-679

Springer Publishing Company

Access to resources Recommend Favorite

Prediction of fracture toughness using artificial neural networks (ANNs)

By Seibi A.   Al-Alawi S.M.  

Engineering Fracture Mechanics, Vol. 56, Iss. 3, 1997-02 ,pp. : 311-319

Elsevier

Access to resources Recommend Favorite

Prediction of Mechanical Properties in Submerged Arc Weld Metal of C-Mn Steel

By Kanjilal Prasanta  

Materials and Manufacturing Processes, Vol. 22, Iss. 1, 2007-01 ,pp. : 114-127

Taylor & Francis Ltd

Access to resources Recommend Favorite

Wear volume prediction with artificial neural networks

By Velten K.   Reinicke R.   Friedrich K.  

Tribology International, Vol. 33, Iss. 10, 2000-10 ,pp. : 731-736

Elsevier

Access to resources Recommend Favorite

Prediction of Impact Contact Forces of Composite Plates Using Fiber Optic Sensors and Neural Networks

By Akhavan Farhad   Watkins Steve E.   Chandrashekhara K.  

Mechanics of Composite Materials and Structures, Vol. 7, Iss. 2, 2000-04 ,pp. : 195-205

Taylor & Francis Ltd

Access to resources Recommend Favorite