Collection

2023 ASEE GSW

Authors

Joseph Erwin; Laith Alqawasmi; Tariq Khraishi

-axialloading, tensile tests were conducted on aerospace grade fasteners. The fasteners were loaded inpure tension, pure shear, and in mixed loading between 0° and 90° in 15° increments. The normaland shear displacement of the fasteners were recorded along with the corresponding force appliedto the test fixture. The data collected from these experiments showed that the fasteners in tensiondominated loads failed at significantly higher loads as compared to fasteners in shear dominatedloading. IntroductionThe importance of fasteners in mechanical assemblies cannot be understated [5]. However, thissignificance is not reflected in the reasonably limited published works and technical papers onquasi-statically

Collection

2023 ASEE GSW

Authors

Jake Simmons; Andrew Lovelace; Daniel Tucker; Aaron Mendoza; Aaron Coates; Julian Alonzo; Danrui Li; Xinpeng Yi; Steven Potter; Ian Mouritzen; Mac Smith; Caden Banta; Ryan Hodge; Anne Spence; Scott Koziol

, TX, USA.XINPENG YIXingpeng Li received a B.S. degree in Electrical and Computer Engineering at Baylor University,Waco, TX, USA in Spring of 2022ANNE SPENCEAnne Spence received the B.S. degree in Aerospace Engineering from the University of Missouri-Rolla, the M.S. degree in Aerospace Engineering from The University of Texas at Arlington, andthe Ph.D. in Aerospace Engineering from the University of Maryland in College Park. She isClinical Professor and Associate Chair and in the Mechanical Engineering Department at BaylorUniversity, Waco, TX, USA.STEVEN POTTERSteven Potter received the B.S. degree in Electrical and Computer Engineering from BaylorUniversity, Waco, TX, USA, in 2003, and the M.S. degree in Electrical Engineering from

Collection

2023 ASEE GSW

Authors

Maurizio Manzo; Huseyin Bostanci

, Texas in 2015, and both bachelor and master’sdegrees in aerospace engineering from Italy. During his training, he has worked on different research areas ofmechanical engineering such as experimental optics, photonics and sensing, and experimental fluid mechanics. He hasauthored several referred journal papers, conference proceedings, and has 1 US patent. He is a member of the AmericanOptical Society (OSA), the American Society of Mechanical Engineering (ASME), and the American Society forEngineering Education (ASEE). Proceedings of the 2023 ASEE Gulf-Southwest Annual Conference University of North Texas, Denton, TX Copyright  2023, American Society for

Collection

2023 ASEE GSW

Authors

Mehmet Emre Bahadir; Yumi Domangue

shaperecovery force and shape recovery speed of the 3D printed parts were investigated. IntroductionAdditive manufacturing (AM), more commonly known as 3D printing, is an advancedmanufacturing process that builds parts layer-by-layer based on the 3D model information createdby computer-aided design (CAD) software. Among many advantages, the ability to create complexshapes that other manufacturing technologies can not manufacture has attracted the attention ofmany researchers and manufacturers1. Today, the leading automotive, aerospace, military, andmedical manufacturers are taking advantage of 3D printing technologies by designing morecomplex, lightweight, high-performance products by integrating advanced

Collection

2023 ASEE GSW

Authors

George V. Kondraske; Lawrence R. DiSalvi

measurement of human performance. Over the past 40 years he has developedsystems performance theory and various human performance measurement systems. These are employed in lab, clinic,and web-based/mobile contexts with applications ranging from Parkinson’s Disease and rehabilitation engineering toacademic, surgeon, and sport performance. He is a Fellow of the IEEE and a charter Fellow of the National Academy ofInventors.LAWRENCE R. DISALVIMr. DiSalvi is currently pursuing a doctoral degree in Bioengineering at the University of Texas at Arlington. A formermilitary helicopter pilot, his career includes 25 years in the aerospace industry as an engineering development and testdirector. His research interests include human performance modeling and human