Forecast and Analysis of Transformation Point of TC6 Titanium Alloy

Ming Chu Yin; Tao Gao; En Zhi Chen

doi:10.4028/www.scientific.net/AMR.194-196.1247

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Discussion on Relationship between Viscosities of Molten Zr-Cu Based Alloys and their Glass Forming Ability
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 194-196Forecast and Analysis of Transformation Point of...

Forecast and Analysis of Transformation Point of TC6 Titanium Alloy

Abstract:

Transformation point of titanium alloy is an important material parameter in hot forming and heat treatment for titanium alloy. Used the transformation points of TC6 titanium alloy determined by metallographic method as desired outputs, a model for forecasting the transformation point of TC6 titanium alloy was established using MATLAB neural network toolbox under the guidance of back propagation neural network. Used the established model to forecast the transformation point of TC6 titanium alloy and analyze the effects of the contents of nine elements on the transformation point of TC6 titanium alloy, and the results show that the transformation point of TC6 titanium alloy increases with enhancement of N, O, C and Al contents, while decreases with the enhancement of Cr, Si, Mo, Fe and H contents.

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Periodical:

Advanced Materials Research (Volumes 194-196)

Pages:

1247-1252

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.194-196.1247

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Online since:

February 2011

Authors:

Ming Chu Yin, Tao Gao, En Zhi Chen

Keywords:

Artificial Neural Network (ANN), Back Propagation Network, Metallographic Method, TC6 Titanium Alloy, Transformation Point

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