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Predictive Tools for the Improvement of Shape Memory Alloy Performance

Blocher, Richard Paul
http://orcid.org/0000-0002-8874-1596
http://rave.ohiolink.edu/etdc/view?acc_num=osu1556022653899471

Abstract Details

2019, Master of Science, Ohio State University, Materials Science and Engineering.
The superelastic and actuation performance of shape memory alloys depends greatly upon the composition and processing of the alloy, as well as the operating temperature range and stresses involved in its implementation. This thesis is in two parts. The first presents a design parameter to help classify shape memory alloys and quantify their performance as torque tube actuators. It studies the effects of crystallographic texture variation, actuator biasing stress, alloy composition, and alloy system on shape memory torque tube performance through a combination of simulation and aggregation of experimental data. Finally, a torque tube design for use in aircraft gas turbine engines is recommended based on these findings. The second part of the thesis seeks to mechanistically explain why the alloy composition effects on performance in NiTiHf shape memory alloys occur. It is hypothesized that the stabilization of martensite occurs because of the lattice mismatch strain between the “H-phase” precipitate phase, which form with the heat treatment of these alloys, and the cubic austenite phase. From this hypothesis, a model for predictions of martensite microstructures is created, and the reduction in strain energy of the formation of these microstructures is estimated.
Peter Anderson (Advisor)
90 p.
Materials Science; Metallurgy
shape memory alloys; materials design; crystallography; martensite; microstructure

Recommended Citations

Citations

  • Blocher, R. P. (2019). Predictive Tools for the Improvement of Shape Memory Alloy Performance [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1556022653899471

    APA Style (7th edition)

  • Blocher, Richard. Predictive Tools for the Improvement of Shape Memory Alloy Performance. 2019. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1556022653899471.

    MLA Style (8th edition)

  • Blocher, Richard. "Predictive Tools for the Improvement of Shape Memory Alloy Performance." Master's thesis, Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1556022653899471

    Chicago Manual of Style (17th edition)

osu1556022653899471
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© 2019, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.