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Midwest Entrepreneurship Case Competition Judging Rubric
Get PDFThis judging rubric is tailored for the 2024 Midwest Entrepreneurship Case Competition (MECC), an undergraduate regional event collaboratively organized by multiple libraries across the Midwest. It assesses participants in four key domains: Research, Analysis, Presentation, and Delivery
Boiling crisis is a consequence of thermal runaway in the substrate due to degradation of nucleate boiling heat transfer
No full textChaotic bubble interactions during vigorous boiling have foiled attempts at an accurate mechanistic understanding of this important industrial transport process. Prediction of the boiling crisis (dryout) that occurs due to the spontaneous merger of bubbles into an insulating vapor film at critical heat flux remains an unsolved challenge. This work diagnoses the dryout process using synchronized high-resolution spatiotemporal heat flux and phase data, obtained via through-substrate infrared and visual inspection. We examine prevailing theories for the boiling crisis and provide evidence to rule out all but one. The boiling crisis is found to be a consequence of a peak in the nucleate boiling curve, past which the degradation of boiling heat transfer and concomitant increase in superheat are caused by replacement of the thermally efficient contact line region with the inefficient vapor-covered region for the surface-fluid combination studied. This results in substrate thermal runaway and dryout. Rather than seeking a separate dryout trigger mechanism, nucleate boiling models must instead inherently capture this peak. The heat flux partitioning employed demonstrates that critical heat flux can indeed be predicted by capturing this peak. A generalized framework is suggested for predicting the boiling curve as part of a multidimensional surface, a boiling manifold
Robust inverse parameter fitting of thermal properties from the laser-based Angstrom method in the presence of measurement noise using physics-informed neural networks (PINNs)
No full textThe two-dimensional laser-based Ångstrom method measures the in-plane thermal properties for anisotropic film-like materials. It involves periodic laser heating at the center of a suspended film sample and records its transient thermal response by infrared imaging. These spatiotemporal temperature data must be analyzed to extract the unknown thermal conductivity values in the orthotropic directions, an inverse parameter fitting problem. Previous demonstration of the metrology technique used a least-squares fitting method that relies on numerical differentiation to evaluate the second-order partial derivatives in the differential equation describing transient conduction in the physical system. This fitting approach is susceptible to measurement noise, introducing high uncertainty in the extracted properties when working with noisy data. For example, when noise of a signal-to-noise ratio of 10 is added to simulated amplitude and phase data, the error in the extracted thermal conductivity can exceed 80%. In this work, we introduce a new alternative inverse parameter fitting approach using physics-informed neural networks (PINNs) to increase the robustness of the measurement technique for noisy temperature data. We demonstrate the effectiveness of this approach even for scenarios with extreme levels of noise in the data. Specifically, the PINN-approach accurately extracts the properties to within 5% of the true values even for high noise levels (a signal-to-noise ratio of 1). This offers a promising avenue for improving the robustness and accuracy of advanced thermal metrology tools that rely on inverse parameter fitting of temperature data to extract thermal properties
Systematic Development and Optimization of Helix Stabilized Stapled Peptides for Inhibitory Use Against the Viral Oncoprotein HPV-E6
Get PDFAlumni Spotlight: Daphne Fauber
Get PDFDaphne Fauber published an article in volume 9 (2019) of the Journal of Purdue Undergraduate Research during her time spent completing her baccalaureate degree
New Trends in the Study of Haredi Culture and Society
Get PDFWho are Haredim? And why are they the source of both increasing attention and continuing misunderstanding? New Trends in the Study of Haredi Culture and Society draws on the innovative research of leading scholars from a variety of disciplines—including history, religious studies, demography, linguistics, and geography—to trace the growing prominence of Haredi (often called ultra-Orthodox) Jews in Jewish life. Haredi Jews are committed to preserving a measure of segregation from the rest of society consistent with the guiding principles of their forebears; yet increasingly, they are appearing more visibly and assertively in public spaces. Demographic analysis suggests that they will constitute a much larger share—nearly one-quarter—of the world Jewish population over the next twenty years. By examining the evolution of political, cultural, and social trends in Haredi communities across the globe, this interdisciplinary and transnational volume sheds important light both on Haredi communities and on the societies of which they are part.https://docs.lib.purdue.edu/casden/1015/thumbnail.jp
INDOT Research Program Benefit Cost Analysis–Return on Investment for Projects Completed in FY 2023
Get PDFTo demonstrate the value of research and its implementation, the Governor’s Office in 2016 requested an annual financial analysis of the INDOT Research Program to determine the return on the research investment (ROI). The INDOT Research & Development (R&D) has continued to publish an annual Return on Investment report. The current financial analysis is for research projects that completed in FY 2023. Analyses on previous year’s projects is necessary primarily due to the time it takes some project outcomes to be implemented and verifiable data generated, extending into the following year. Therefore, the FY 2024 analysis is completed research projects in calendar 2023.
The analysis evaluated 29 research projects completed in 2023 to determine if through implementation, benefits could be quantified resulting in either agency savings, road user savings, or safety savings. Of the 29 projects, six (6) had benefits that could be quantified. The rest, twenty-three (23) had benefits classified as qualitative