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Machine learning-based framework for online state of health assessment and end-of-life prediction in commercial lithium-ion batteries
No full textDate of Conference: 26-28 March 2025
Date Added to IEEE Xplore: 30 April 2025Conference Location: Wichita, KS, USALithium-ion batteries (LIBs) are an essential and versatile energy source for portable electronics, grid energy storage, and electric vehicles. To meet the increasing demand for energy, it is crucial to understand physical changes to further improve LIBs performance and safety. State of health (SOH) is a metric that indicates how safe LIBs are for operation. This work presents a comprehensive framework for SOH assessment of LIBs. The proposed framework was validated using data from commercial LIBs tested at 1C/1C (charge/discharge), at different temperatures and different depths of discharge (DOD). Reference performance tests (RPTs) were periodically conducted until lithium-ion cells (LICs) reached the end of life. Differential voltage analysis (DVA) was used to acquire relevant physical parameters from RPTs. The continuous monitoring of DVA provided updates about LIC degradation based on internal resistance, slippages, active masses, and stoichiometries of both electrodes during the cycling process. For prediction of degradation mechanisms and end of life (EOL), a machine learning model based on Random Forest was integrated into a Raspberry Pi computer. This affordable computer enabled remote monitoring of LICs performance, which transmitted SOH and degradation data to a cloud-based service. Results indicate that LICs cycled at 100% DOD experienced greater cathode material loss compared to those cycled at lower DODs. The RF model, running on a Raspberry Pi computer, achieved a processing time of approximately 2.9 seconds and demonstrated an accuracy of 86.67%. This attained accuracy indicates the potential of this affordable framework to be employed in real-time (online) assessments of SOH in either small or larger LIBs with different chemistries
WSU Faculty Senate Resolution in Defense of Tenure and Opposition to Kansas House Bill, HB 2348, February 24, 2025
No full textLongitudinal changes in functional brain activation and habituation during face processing in Fragile X syndrome
No full textArchival reportBackground: Fragile X syndrome (FXS) is a genetic condition associated with increased risk for social anxiety and avoidance. Using functional near-infrared spectroscopy (fNIRS), we previously demonstrated aberrant neural activity responding to faces in young girls with FXS cross-sectionally. Here, we tested the hypothesis that abnormalities in neural activation and sensitization would increase with age in 65 girls with FXS (ages 6–16 years) relative to an age-matched control group of 52 girls who had comparable cognitive function and clinical symptoms.
Methods: fNIRS data were collected at 2 time points (mean [SD] = 2.8 [0.6] years apart) during a face processing task. Linear mixed-effect models examined longitudinal neural profiles in girls with FXS and control participants. Correlational analysis was performed to examine associations between neural sensitization (increasing neural response to repeated stimuli) and clinical ratings.
Results: In the FXS group, 24 participants had 1 fNIRS scan, and 32 had 2 scans. In the control group, 28 participants had 1 fNIRS scan, and 22 had 2 scans. Brain activations in the superior frontal gyrus were higher in girls with FXS than control participants at both time points. Neural sensitization also increased in girls with FXS at a higher rate than control participants in the superior frontal gyrus when responding to upright faces. For the FXS group, sensitization in the superior frontal gyrus positively correlated with longitudinal increases in anxiety and social avoidance scores.
Conclusions: Girls with FXS show increasingly abnormal neural activation and sensitization responding to faces over time. Aberrant neural sensitization in girls with FXS is associated with longitudinal changes in anxiety and social skills
Aircraft spar production: Materials, methods, and production management using linear programming
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)The design and manufacturing of aircraft wing spars are extremely important to aerospace manufacturing, particularly in enhancing manufacturing efficiency and sustainability. In the past, when creating spar production plans, engineers approached material selection and manufacturing process optimization as separate decisions, which often resulted in higher costs. This study presents a mixed-integer linear programming (MILP) framework that takes a more united approach to spar production. Several production case studies were developed using different material and process combinations. To support this analysis, data comparing dissimilar materials and their properties were compiled from existing literature. These case studies were assessed using the MILP framework to see how well they performed. The results show that an integrated approach to manufacturing can help engineers reduce waste, improve sustainability, and use materials more efficiently
University catalog (Wichita State University)
No full textProduced by Ginny Vincent, Catalog Editor, March 2025The Graduate Catalog, an official publication of the WSU Graduate School, is produced annually to provide general information for students admitted to or considering graduate education at Wichita State. The Graduate Catalog contains policies, regulations, procedures and fees current and in effect at the time of publication. Wichita State University and the Graduate School reserve the right to make changes at any time to reflect current university policies, administrative regulations and procedures, and revisions required by changes in federal or state law. Information provided in this catalog is subject to change without notice and does not constitute a contract between Wichita State University and a student or an applicant for admission to the Graduate School
Novel hybrid joining and performance evaluation for composite components
No full textClick on the DOI link to access this article at the publishers website (may not be free).This paper introduces a novel hybrid joining technology for thermoplastic-to-thermoplastic composite parts, combining ultrasonic welding (UW) and friction drilling fasteners (FDFs) to create strong, durable joints. Currently, there is no rapid, robust method available for reliably joining thermoplastic composite parts, especially for applications requiring high joint integrity. The proposed hybrid method addresses this challenge by integrating the advantages of both UW and FDFs. This approach not only enables fast, low-cost fabrication but also enhances bonding integrity and overall joint strength. A high-fidelity performance model is developed to understand the failure modes of the hybrid joint, providing valuable insights into factors such as bolt arrangement and load distribution. This model aids in optimizing the joint design for maximum performance. Performance data are gathered from single-lap joints fabricated using UW, FDF, and the combined UW-FDF method, which are tested under static loading conditions. The results are compared to baseline performance data from autoclave-fabricated joints, highlighting the advantages and effectiveness of the hybrid joining approach in terms of strength, durability, and cost-efficiency. © 2025, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved
Improving grid resilience and reliability through dynamic line rating during ice precipitating conditions
No full textClick on the DOI link to access this article at the publishers website (may not be free).Abstract-A significant aspect of global decarbonization efforts hinges on expanding electric transmission capacity to accommodate renewable energy sources. Within this context, dynamic line rating (DLR) systems for overhead lines present an opportunity to enhance the flexibility of power grids while utilizing existing infrastructure. Specifically, during ice-precipitating conditions, the combined effect of lower ambient temperatures and ice buildup on the conductor aids in maintaining a lower conductor temperature, allowing for increased current flow. This research introduces an innovative approach for estimating line ratings during icing conditions. Unlike previous methods, our approach accurately accounts for temperature variations and incorporates the clouding effect during precipitation events. By addressing these variables, we seek to enhance current methodologies for estimating line ratings in adverse weather conditions. To validate the efficacy of our proposed method, we conduct experiments using real-world weather data and line current measurements under both precipitating and non-precipitating conditions. Through these experiments, we illustrate the effectiveness of our approach in accurately estimating line ratings during icing events, thus improving the reliability and efficiency of power line operations during adverse weather conditions. © 2025 IEEE.Laboratory Directed Research and Development, LDRD; Brookhaven National Laboratory, BNLThis work was supported by the Laboratory Directed Research and Development (LDRD) Program, Brookhaven National Laboratory
Description of President's Distinguished Service Award and Staff Excellence Awards, 2025
No full text(President's Distinguished Service Award): Eligibility for the President’s Distinguished Service Award -- (Staff Excellence Awards): Eligibility for the Staff Excellence Awards -- The Staff Excellence in Belonging Award -- The Staff Excellence in Engagement Award -- The Staff Excellence in Customer Service Award -- The Young Professional Award -- The Everyday Hero Award -- (Wayne Carlisle Distinguished Service Award
Abundance, isolation and characterization of salinotolerant bacteria in a spacecraft assembly facility
No full textClick on the DOI link to access this article at the publishers website (may not be free).Spacecraft assembly facilities (SAFs) house clean rooms where interplanetary spacecraft are built, thereby reducing the bioburden on spacecraft to protect planetary environments from terrestrial microbes that may interfere with the search for life or disturb potential native ecosystems. The most plausible environments for living systems on celestial bodies involve brines with depressed freezing points. Here, we specifically measure the abundance of salinotolerant microbes on SAF surfaces. Most probable number analyses performed with salty liquid media were applied to washes of SAF floor wipes. Microbial abundance was measured using Salt Plains medium at low salt or supplemented with (all w/v) 10% NaCl (1.7 M; aw = 0.92), 50% MgSO4 (2.0 M as epsomite; aw = 0.94), 5% NaClO3 (0.5 M; aw = 0.98), or 5% NaClO4 (0.4 M; aw = 0.98). The abundance of salinotolerant microbes was generally 1 to 10% (102 to 104 cells m?2) of the total population of microbes observed in low-salt medium (105 cells m?2). Microbes were isolated by repetitive streak-plating of positive enrichment cultures and then characterized. All of the 38 isolates were Gram-positive bacteria, mainly spore-forming Bacillaceae, with some Staphylococcus. The isolate collection showed strong tolerance to high concentrations of NaCl (to 30%), MgSO4 (to 50%) and sucrose (to 70%). There also was substantial tolerance to pH (5 to 10) and temperature (4 to 60 °C). Taken together, these SAF isolates are polyextremophiles that are in substantial abundance in the clean rooms where spacecraft are assembled.This project was supported by awards from National Aeronautics and Space Administration (NASA), Research Opportunities in Space and Earth Science (ROSES), Planetary Protection Research (09-PPR09-0004, 14-PPR14-2-0002 and 22-PPR22-012). Additional student support was from Kansas IDeA (Institutional Development Award) Networks of Biomedical Research Excellence (K-INBRE), National Institute of General Medical Sciences (NIGMS), National Institutes of Health (NIH) (P20 GM103418). Part of this work was conducted at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with NASA (80NM0018D0004)
Reducing occupational hazards in manufacturing through additive manufacturing: A safety centric approach
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)Additive Manufacturing (AM) is a novel field that has revolutionary advantages when compared with traditional reductive manufacturing processes, specifically in terms of safety in the workplace. The more AM technologies are integrated into manufacturing and industrial applications; the greater the value of understanding the safety implications will be. Research indicates that AM reduces mechanical, chemical, thermal and physical risks, which reduces the occurrence of injuries. AM control systems are largely digitized, reducing the probability of human error and reducing material waste. This paper examines the role of AM in reducing manufacturing hazards while comparing it with traditional manufacturing practices, while reviewing case studies, limitations and the future of manufacturing with AM and its adoption in Industry 4.0