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A novel strain sensing procedure using an optical scanning methodology and diffraction grating is explored. The motivation behind this study is due to uneven thermal strain distribution across semiconductor chips that are composed of varying materials. Due to the unique properties of the materials and the different coefficients of thermal

A novel strain sensing procedure using an optical scanning methodology and diffraction grating is explored. The motivation behind this study is due to uneven thermal strain distribution across semiconductor chips that are composed of varying materials. Due to the unique properties of the materials and the different coefficients of thermal expansion (CTE), one can expect the material that experiences the highest strain to be the most likely failure point of the chip. As such, there is a need for a strain sensing technique that offers a very high strain sensitivity, a high spatial resolution while simultaneously achieving a large field of view. This study goes through the optical setup as well as the evolution of the optical grating in an effort to improve the strain sensitivity of this setup.
ContributorsChen, George (Co-author) / Ma, Teng (Co-author) / Liang, Hanshuang (Co-author) / Song, Zeming (Co-author) / Nguyen, Hoa (Co-author) / Yu, Hongbin (Thesis director) / Jiang, Hanqing (Committee member) / Barrett, The Honors College (Contributor) / Electrical Engineering Program (Contributor)
Created2014-05
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This paper presents the electrolytic application of a load-matching PV system to produce green hydrogen. The system has proven its viability with purely resistive loads, and a static analysis has shown the performance potential of the system for electrolytic applications. This paper focuses on dynamic simulation of the load-matching PV

This paper presents the electrolytic application of a load-matching PV system to produce green hydrogen. The system has proven its viability with purely resistive loads, and a static analysis has shown the performance potential of the system for electrolytic applications. This paper focuses on dynamic simulation of the load-matching PV system for green hydrogen production in SIMULINK. It is shown that an over 99% energy transfer efficiency from the PV array’s available energy to the electrolytic loads can be achieved under dynamic conditions for the system. The design parameters to optimize include the number of hydrogen cells per stack, the stack resistance, and the number of available stacks in the system. This system provides a simple but efficient approach for large-scale photovoltaic hydrogen production.
ContributorsPolo, Christian (Author) / Tao, Meng (Thesis director) / Parquette, William (Committee member) / Barrett, The Honors College (Contributor) / Electrical Engineering Program (Contributor) / Industrial, Systems & Operations Engineering Prgm (Contributor)
Created2022-05