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Response surface methodology to predict the mechanicalproperties of hot-rolled sheets

Published online by Cambridge University Press:  13 December 2013

A. Noroozi ,
M. Ayaz ,
N.B. Mostafa Arab  and
D. Mirahmadi Khaki
A. Noroozi
Affiliation:
Department of Mechanical Engineering, Shahid Rajaee Teacher Training University, Tehran, Iran. e-mail: [email protected]
M. Ayaz
Affiliation:
Department of Mechanical Engineering, Shahid Rajaee Teacher Training University, Tehran, Iran. e-mail: [email protected]
N.B. Mostafa Arab
Affiliation:
Department of Mechanical Engineering, Shahid Rajaee Teacher Training University, Tehran, Iran. e-mail: [email protected]
D. Mirahmadi Khaki
Affiliation:
Department of Materials Engineering, Shahid Rajaee Teacher Training University, Tehran, Iran
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Abstract

The goal of this study is to empirically investigate the major hot rolling processparameters affecting the yield strength, ultimate tensile strength and strain-hardeningexponent of Nb-microalloyed steel sheets. The parameters considered were the roughing,finishing and coiling temperatures. Three levels for each parameter were used to develop amodel relating the process parameters to mechanical properties. By applying the responsesurface methodology, analysis of variance was done to determine the mathematical modelsrelated to each response. The results indicated that decreasing the coiling and finishingtemperatures significantly influenced the mechanical properties. Also, the modelspredicted that the maximum yield strength, ultimate tensile strength and strain-hardeningexponent are simultaneously obtained under the following conditions: roughing temperature= 1097 °C, finishing temperature = 837 °C and coiling temperature = 580 °C. The predictedvalues were close to the experimental values, indicating the suitability of themodels.

Keywords

Hot rollingNb-microalloyed steelmechanical propertiesresponse surface methodologyprediction
Type
Research Article
Information
Metallurgical Research & Technology , Volume 110 , Issue 5 , 2013 , pp. 359 - 371
Copyright
© EDP Sciences 2013

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