Neural-Network Analysis of Mandrel Life in a Piercing Mill


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Abstract

Statistical analysis is employed to determine the influence of factors such as the distance between rollers in the gorge, the advancement of the mandrel beyond the gorge, the grade of steel in the blank, and the sleeve length on the mandrel life in a piercing mill. The significance of each parameter in the statistical analysis is determined by neural-network modeling.

About the authors

E. V. Alyutina

OAO RosNITI

Author for correspondence.
Email: alyutina@rosniti.ru
Russian Federation, Chelyabinsk, 454139

A. A. Korsakov

OAO RosNITI

Email: alyutina@rosniti.ru
Russian Federation, Chelyabinsk, 454139

D. V. Mikhalkin

OAO RosNITI

Email: alyutina@rosniti.ru
Russian Federation, Chelyabinsk, 454139

A. V. Korol’

South Ural State University

Email: alyutina@rosniti.ru
Russian Federation, Chelyabinsk, 454080

A. G. Ul’yanov

AO Volzhskii Trubnyi Zavod (VTZ)

Email: alyutina@rosniti.ru
Russian Federation, Volzhskii, 404119

A. V. Niklyaev

AO Volzhskii Trubnyi Zavod (VTZ)

Email: alyutina@rosniti.ru
Russian Federation, Volzhskii, 404119

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