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Mechanical and surface properties of 3D-printed TI6AL4V alloy parts fabricated by selective laser melting under extreme conditions
No full textThesis (M.S.)-- Wichita State University, College of Engineering, Dept. of Mechanical EngineeringAdditive manufacturing has gained significant prominence in the aerospace industry due to its ca-pability to minimize material waste while enabling the fabrication of components with complex geometries that would be challenging or impossible to produce using conventional manufacturing methods. Among the various materials employed in aerospace applications, Ti6Al4V Grade 5 titanium alloy is particularly val-ued for its exceptional strength-to-weight ratio, superior corrosion resistance, and excellent biocompatibil-ity. Selective Laser Melting (SLM), a powder bed fusion additive manufacturing technique, facilitates the layer-by-layer fabrication of intricate Ti6Al4V components with precise dimensional control. Despite these advantages, the SLM process introduces several challenges, including rapid thermal cycles, residual inter-nal stresses, microstructural heterogeneities, and potential structural defects such as porosity and lack of fusion. In the herein study, the surface and mechanical properties of a 3D-printed, additively manufactured Ti6Al4V part under extreme conditions were examined. The manufactured specimens were subjected to various tests, such as stress-relieving treatment, cryogenic treatment, hardness, tensile, wettability, and cor-rosion testing. X-ray diffraction analysis, Microhardness measurements, more significant hardness en-hancement was achieved through the application of WC-Co coatings.
Wettability assessments revealed that both as-printed and stress-relieved samples displayed hydro-philic behaviour due to higher surface energy. Fatigue testing demonstrated that stress-relieved specimens achieved superior fatigue life compared to cryogenically treated specimens. Tensile evaluations yielded an Ultimate Tensile Strength (UTS) of 1126.96 MPa and a 0.2% Offset Yield Strength (YS) of 1040.82 MPa for stress-relieved samples, while cryogenically treated specimens exhibited marginally lower values (UTS of 1118.36 MPa and YS of 1034.89 MPa). Microstructural characterization via laser microscopy and scan-ning electron microscopy revealed needle-shaped α′ martensitic structures within prior β grains, attributed to rapid solidification and cooling during the laser processing. The phase transformation (β→α′) was iden-tified as a consequence of the high cooling rates inherent to the SLM process. Porosity defects were also observed during microstructural examination.
This research provides valuable insights into the optimization of post-processing treatments for SLM-manufactured Ti6Al4V components intended for extreme operating conditions, contributing to the advancement of additive manufacturing technologies for critical applications
Investigating corrosion properties of aluminum alloys in various saltwater solutions via electrochemical analysis
No full textPublished in SOAR: Shocker Open Access Repository by Wichita State University Libraries Technical Services, November 2025. 2025 IEMS Officers: Gamal Weheba (Conference Chair); Hesham Mahgoub (Program Chair); Dalia Mahgoub (Technical Director); Ed Sawan (Publications Editor); Wilfredo Moscoso (Proceedings Editor); Abdulaziz G. Abdulaziz (Associate Editor)Corrosion prevention of aluminum and its alloys is of great technological significance because of its expanding industrial applications such as aerospace, automotive, defense, energy, sports equipment, marine, and biomedical as a replacement for human body parts. This study aims to look at the corrosion properties of bare and Alclad 7075 T6 aluminum alloy in distilled water, 3%, and 5% saltwater solutions. The Gamry corrosion cell electrochemical device and a Potentiodynamic DC Corrosion test were utilized to study galvanic corrosion behavior. In the overall experiment, the bare 7075 T6 aluminum alloy demonstrated a higher corrosion rate than the Alclad 7075 T6 alloy in various concentrated saltwater conditions. The lowest corrosion rate was observed in distilled water solution for both bare and Al covered 7075 T6 alloys, while the highest corrosion rate at 5wt% saltwater
Towards diagnostic intelligent systems in leukemia detection and classification: A systematic review and meta-analysis
No full textClick on the DOI link to access this article at the publishers website (may not be free).Objective: Leukemia is a type of blood cancer that begins in the bone marrow and results in high numbers of abnormal white blood cells. Automated detection and classification of leukemia and its subtypes using artificial intelligence (AI) and machine learning (ML) algorithms plays a significant role in the early diagnosis and treatment of this fatal disease. This study aimed to review and synthesize research findings on AI-based approaches in leukemia detection and classification from peripheral blood smear images. Methods: A systematic literature search was conducted across four e-databases (Web of Science, PubMed, Scopus, and IEEE Xplore) from January 2015 to March 2023 by searching the keywords “Leukemia,” “Machine Learning,” and “Blood Smear Image,” as well as their synonyms. All original journal articles and conference papers that used ML algorithms in detecting and classifying leukemia were included. The study quality was assessed using the Qiao Quality Assessment tool. Results: From 1325 articles identified through a systematic search, 190 studies were eligible for this review. The mean validation accuracy (ACC) of the ML methods applied in the reviewed studies was 95.38%. Among different ML methods, modern techniques were mostly considered to detect and classify leukemia (60.53% of studies). Supervised learning was the dominant ML paradigm (79% of studies). Studies utilized common ML methodologies for leukemia detection and classification, including preprocessing, feature extraction, feature selection, and classification. Deep learning (DL) techniques, especially convolutional neural networks, were the most widely used modern algorithms in the mentioned methodologies. Most studies relied on internal validation (87%). Moreover, K-fold cross-validation and train/test split were the commonly employed validation strategies. Conclusion: AI-based algorithms are widely used in detecting and classifying leukemia with remarkable performance. Future studies should prioritize rigorous external validation to evaluate generalizability. © 2025 Chinese Cochrane Center, West China Hospital of Sichuan University and John Wiley & Sons Australia, Ltd
Understanding positive and negative affect as moderators and mechanisms of change in an adapted summer treatment program for children with ADHD
No full textThesis (Ph.D.)-- Wichita State University, College of Liberal Arts and Sciences, Dept. of PsychologyThe Summer Treatment Program (STP) is an effective psychosocial intervention for children with attention-deficit/hyperactivity disorder (ADHD) and provides a context to enhance children’s strengths. Most evaluations, however, have focused on reducing primary ADHD symptoms rather than enhancing strengths. Additionally, minimal research has explored mechanisms of change contributing to strength-based outcomes within the STP. The Building Relationships and Targeting Healthy Emotions (BREATHE) program is an adapted, 8-week long STP. Participants engaged in social skills training and recreational activities, and their parents concurrently participated in weekly training workshops. The purpose of this study was to examine children’s treatment outcomes related to strength-based adaptive functioning and understand the role of positive and negative affect as mechanisms of change. Results revealed that participating children (N = 14) demonstrated statistically and clinically significant improvements in their overall behavioral and emotional strengths. Additionally, outcomes were influenced by various modes of affect and prosocial behaviors: Positive affect at baseline was associated with improvements in overall strengths, whereas decreases in negative affect from pre- to midtreatment were associated with improvements in social functioning from mid- to posttreatment. Likewise, gains in children’s prosocial behavior as measured by point sheet data from pre- to midtreatment were associated with gains in prosocial behavior as reported by parents from mid- to posttreatment. Although the current study is limited in sample size, results suggest the potential for the BREATHE program to improve children’s behavioral and emotional strengths and identify potential mechanisms of change for future study of strength-based outcomes
Dual-Baseline search for active-to-sterile neutrino oscillations in NOvA
No full textClick on the DOI link to access this article at the publishers website (may not be free).We report a search for neutrino oscillations to sterile neutrinos under a model with three active and one sterile neutrinos (3+1 model). This analysis uses the NOvA detectors exposed to the NuMI beam, running in neutrino mode. The data exposure, 13.6×1020 protons on target, doubles that previously analyzed by NOvA, and the analysis is the first to use νμ charged-current interactions in conjunction with neutral-current interactions. Neutrino samples in the near and far detectors are fitted simultaneously, enabling the search to be carried out over a Δm412 range extending 2 (3) orders of magnitude above (below) 1 eV2. NOvA finds no evidence for active-to-sterile neutrino oscillations under the 3+1 model at 90% confidence level. New limits are reported in multiple regions of parameter space, excluding some regions currently allowed by IceCube at 90% confidence level. We additionally set the most stringent limits for anomalous ντ appearance for Δm412≤3 eV2. © 2025 authors. Published by the American Physical Society. Published by the American Physical Society under the terms of the "https://creativecommons.org/licenses/by/4.0/"Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI. Funded by SCOAP3.University of Minnesota, UMN; National Science Foundation, NSF; High Energy Physics, HEP; Science and Technology Facilities Council, STFC; GA UK, Czech Republic; Department of Science and Technology, Ministry of Science and Technology, India, DST; Conselho Nacional de Desenvolvimento Científico e Tecnológico, CNPq; Russian Foundation for Basic Research, RFBR; U.S. Department of Energy, USDOE; Fundação de Amparo à Pesquisa do Estado de Goiás, FAPEG; Fermilab, FNAL; Office of Science, SC; Royal Society; European Research Council, ERC; Ministerstwo Edukacji i Nauki, MNiSW; Ministerstvo Školství, Mládeže a Tělovýchovy, MŠMT; Rochester Academy of Science, RAS; UK Research and Innovation, UKRI; Fermi Forward Discovery Group, LLC, (89243024CSC000002)This document was prepared by the NOvA Collaboration using the resources of the Fermi National Accelerator Laboratory (Fermilab), a U.S. Department of Energy, Office of Science, Office of High Energy Physics HEP User Facility. Fermilab is managed by Fermi Forward Discovery Group, LLC, acting under Contract No. 89243024CSC000002. This work was supported by the U.S. Department of Energy; the U.S. National Science Foundation; the Department of Science and Technology, India; the European Research Council; the MSMT CR, GA UK, Czech Republic; the RAS, Ministry of Science and Higher Education, and RFBR, Russia; CNPq and FAPEG, Brazil; UKRI, STFC, and the Royal Society, United Kingdom; and the state and University of Minnesota. We are grateful for the contributions of the staffs of the University of Minnesota at the Ash River Laboratory, and of Fermilab
Kiah Duggins, 1994-2025
No full textWe are deeply heartbroken to share with our community and friends that Kiah Duggins was aboard American Airlines Flight 5342 from Wichita to Washington, D.C.
Kiah was a proud alumna of the Barton School of Business and Fairmount College of Liberal Arts and Sciences, graduating in the spring of 2017 with degrees in international business, economics and Spanish. A recipient of the prestigious Clay Barton Scholarship in 2013, she joined a distinguished group of exceptionally talented students. During her time at Wichita State, Kiah cofounded the Shocker Food Locker, an initiative that continues to support students facing food insecurity. Her unwavering commitment to building more equitable communities is a legacy we can all carry forward within Shocker Nation
Flight test validation of tandem propeller performance with vertical offset
No full textThis article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).Strategic placement of the rotors in a non-planar configuration in a multirotor vehicle can improve power efficiency. We extend our wind tunnel study on the investigation of the negatively staggered tandem propeller performance, aiming to validate the results through flight tests. The previous study conducted at the University of Dayton Low Speed Wind Tunnel (UD-LSWT) showed a power-saving benefit for the negatively staggered propeller configuration. An in-house-built flight test platform with various vertical propeller displacements was designed, built, and flown successfully in the current study. Flight test data confirmed up to 18% power saving for the negatively staggered propeller configuration when compared to the traditional non-staggered configuration, indicating the potential of the negatively staggered propeller configuration for practical applications. Furthermore, flight test data indicated that, at vertical offsets above 0.2dz, any increased power saving is minimal
Using legacy records: A case study of 14CO3
No full textPresented to the 21st Annual Symposium on Graduate Research and Scholarly Projects (GRASP) held at the Rhatigan Student Center, Wichita State University, April 11, 2025.Research completed in the Department of Anthropology, Fairmount College of Liberal Arts and Sciences.At the confluence of the Walnut and Arkansas rivers lies site 14CO3, known as Etzanoa, part of the Lower Walnut focus and the site of WSU’s archaeological field school. This field school was conducted under Dr Donald J Blakeslee from 2016 to 2019. He and his students kept excavation reports and other records from 2016 to 2017 in personal journals, and in 2018 and 2019, those records consisted of level, feature, daily, and crew chief records. In archaeology, having open access to digital records for preservation and accessibility purposes is incredibly important, yet none of the records from 2016 onward have been uploaded to any database. Continuing previous digitization work, this project focuses on addressing gaps in the records, refining and adding to the existing scans, deciding which of them are suitable for digital archiving, and uploading them to an open-access database. There are around 550 associated documents in Dr Blakeslee’s collection related to the excavation that took place over four field seasons. SOAR, the open-access database managed by the WSU library, is the best candidate as a digital repository. These documents are an invaluable source to understand the site history of Etzanoa, and by uploading these records into an open-access database, we can ensure that this information is available for future researchers. This is a two-fold project in that I will attempt to establish a methodology of digitizing and promoting data accessibility, and I will attempt to gain an understanding of past research based on records alone. I seek to answer two questions: what is the best method for organizing, digitizing, and uploading records?; and is it possible to establish a well-informed conclusion about the site as informed by records alone? By digitizing the legacy record collection from 14CO3, future generations can gain an understanding of the methodologies and findings of the Etzanoa field school without being present for the findings as they happened.Graduate School, Academic Affairs, University Librarie
Gamma ray detection efficiency of GAGG crystal scintillator using three tagged gamma ray techniques
No full textClick on the DOI link to access this article at the publishers website (may not be free).A CubeSat with a prototype scintillating detector with a sensitive volume of Gadolinium-Aluminum-Gallium-Garnet crystal is being developed with a possible launch date of 2025. Its purpose is to characterize the background signals that mimic the neutrino interaction that the νSOL (Neutrino Solar Orbiting Laboratory) team is looking for. An important part of the characterization of the backgrounds and the expected real signal is understanding the gamma ray photopeak efficiency of the prototype detector when compared to simulations performed in Geant4. To this end we have used three techniques to do a measurement of the gamma ray efficiency compared to simulation. The first is using electron capture sources that emit an X-ray before prompt emission of a de-excitation gamma ray, specifically 65Zn and 54Mn. The second is using a β+ decay source wherein a positron annihilates on an atomic shell electron producing two back-to-back 511 keV gammas followed promptly by a de-excitation gamma, specifically 22Na. The third is using a gamma cascade of two near-simultaneous de-excitation gammas from the same nucleus, specifically from 60Co decay. © 2024 Elsevier B.V.National Aeronautics and Space Administration, NASA: 80NSSC2K1900, 80NSSC18K0868, 80NSSC19M0971; National Aeronautics and Space Administration, NASA; 80MSFC18M0047This work was supported by the NASA NIAC Program [grant numbers 80NSSC2K1900, 80NSSC18K0868, 80NSSC19M0971]; MSFC CAN [grant number 80MSFC18M0047]; Wichita State University MURPA; NASA EPSCoR PDG
The experience dilemma: A nonlinear exploration of antecedents to entrepreneurial alertness
No full textClick on the DOI link to access this article at the publishers website (may not be free).Although it seems instinctual for individuals to leverage their international experience and time in assignment to enhance their entrepreneurial alertness (EA), we present an admonition of such strategies. Data from 210 expatriates reveal the nonlinear effects of these predictors on EA. Although some international experience and time in assignment heighten EA, too much of it has a diminished marginal effect (negative squared term). Based on the antecedents-benefits-costs (ABC) framework, these findings refute a simple linear view of the effects of international experience and time in assignment while providing pivotal theoretical and practical implications. Finally, these relationships are impacted by the perceived institutional distance between the home and host countries. © 2024Wichita State University, WSU; Florida Atlantic University, FAUThis study was partly funded by Wichita State University, Florida Atlantic University, and Nankai University