Multiobjective optimization of friction welding of UNS S32205 duplex stainless steel

Multiobjective optimization of friction welding of UNS S32205 duplex stainless steel

The present study is to optimize the process parameters for friction welding of duplex stainless steel (DSS UNS S32205). Experiments were conducted according to central composite design. Process variables, as inputs of the neural network, included friction pressure, upsetting pressure, speed and bur...

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Bibliographic Details
Main Authors: P.M. Ajith, Birendra Kumar Barik, P. Sathiya, S. Aravindan
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2015-06-01
Series:Defence Technology
Subjects:
Artificial neural network
Duplex stainless steel
Hardness
Tensile test
Friction welding
Particle swarm optimization
Online Access:http://www.sciencedirect.com/science/article/pii/S2214914715000161

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http://www.sciencedirect.com/science/article/pii/S2214914715000161

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