Official Design Project & Thesis- Masters of Science Mechanical Engineering at

University of North Dakota DEDP

As a mechanical engineering major with a thermal science stem I wanted to expand my knowledge with gas turbine engines, combustion theory, and machine learning. The project is continually on-going but will be rounding out my thesis work in machine learning using Python language for the deep learning artificial neural network performance prediction model for this project.

5/18/21- Project Update- FADEC and ANN (artificial neural network) performance prediction model goes into the design phase for Ty’s Masters of Science in Mechanical Engineering thesis.

 5/10/19- Project is coming back out of “moth balls”. With the advent of new technology and some process improvement, this project lives again. Stay tuned.

5/29/17- Phase 2- FMEA Update & Regenerative Cycle Design Review

5/6/17- Phase 1A- Sensory additions, intake revision, and performance model revisions

5/5/17- Phase 1 Micro Gas Turbine MGT-01 is complete.

11/1/16- All Gas turbine project updates have been moved to our Instagram page until Phase 1 has been completed. Instagram @crusader_engineer

5/20/16- Started researching the project goals, building a project outline, evaluating timeline and expenses in preps for Fall Semester.

5/17/16- Meeting and solicitation with the Gas Turbine Advisor for UND.