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Modeling of mechanical properties in alpha/beta-titanium alloys

Kar, Sujoy Kumar
http://rave.ohiolink.edu/etdc/view?acc_num=osu1122570452

Abstract Details

2005, Doctor of Philosophy, Ohio State University, Materials Science and Engineering.
The accelerated insertion of titanium alloys in component application requires the development of predictive capabilities for various aspects of their behavior, for example, phase stability, microstructural evolution and property-microstructure relationships over a wide range of length and time scales. In this presentation some novel aspects of property-microstructure relationships and microstructural evolution in alpha/beta Ti alloys will be discussed. Neural Network (NN) Models based on a Bayesian framework have been developed to predict the mechanical properties of alpha/beta Ti alloys. The development of such rules-based model requires the population of extensive databases, which in the present case are microstructurally-based. The steps involved in database development include producing controlled variations of the microstructure using novel approaches to heat-treatments, the use of standardized stereology protocols to characterize and quantify microstructural features rapidly, and mechanical testing of the heat-treated specimens. These databases have been used to train and test NN Models for prediction of mechanical properties. In addition, these models have been used to identify the influence of individual microstructural features on the mechanical properties, consequently guiding the efforts towards development of more robust mechanistically based models. In order to understand the property-microstructure relationships, a detailed understanding of microstructure evolution is imperative. The crystallography of the microstructure developing as a result of the solid-state beta to beta + alpha transformation has been studied in detail by employing Scanning Electron Microscopy (SEM), Orientation Imaging Microscopy (in a high resolution SEM), site-specific TEM sample preparation using focused ion beam, and TEM based techniques. The influence of variant selection on the evolution of microstructure will be specifically addressed.
Hamish Fraser (Advisor)
252 p.
Neural Network; Mcrostructure-Property Relationships; Microstructure Evolution; alpha/beta Titanium alloys

Recommended Citations

Citations

  • Kar, S. K. (2005). Modeling of mechanical properties in alpha/beta-titanium alloys [Doctoral dissertation, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1122570452

    APA Style (7th edition)

  • Kar, Sujoy. Modeling of mechanical properties in alpha/beta-titanium alloys. 2005. Ohio State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1122570452.

    MLA Style (8th edition)

  • Kar, Sujoy. "Modeling of mechanical properties in alpha/beta-titanium alloys." Doctoral dissertation, Ohio State University, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=osu1122570452

    Chicago Manual of Style (17th edition)

osu1122570452
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© 2005, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.