Relevant bibliographies by topics / Degradation state of a bearing

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Degradation state of a bearing'

Author: Grafiati
Published: 28 June 2021
Last updated: 29 July 2025

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Journal articles on the topic "Degradation state of a bearing"

1

Ta, Yuntian, and Tiantian Wang. "A rolling bearing state evaluation method based on deep learning combined with Wiener process." PHM Society European Conference 8, no. 1 (2024): 8. http://dx.doi.org/10.36001/phme.2024.v8i1.4095.

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As a key component of rotating parts, rolling bearings largely determine the operation safety of equipment. However, in practical applications, because the degradation trajectory of rolling bearings cannot be truly characterized, the existing model cannot accurately describe the degradation trajectory of rolling bearings, resulting in the running state of rolling bearings cannot be directly evaluated. Therefore, a method of rolling bearing state assessment based on deep learning combined with Wiener process is proposed in this paper. Firstly, a deep network model is constructed by deep learnin
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Du, Wenliao, Xukun Hou, and Hongchao Wang. "Time-Varying Degradation Model for Remaining Useful Life Prediction of Rolling Bearings under Variable Rotational Speed." Applied Sciences 12, no. 8 (2022): 4044. http://dx.doi.org/10.3390/app12084044.

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It is difficult to accurately extract the health index of non-stationary signals of rolling bearings under variable rotational speed, which also leads to greater prediction error for bearing degradation models with fixed parameters. For this reason, an angular domain unscented particle filter model with time-varying degradation parameters is proposed to deal with the remaining useful life (RUL) prediction of rolling bearings. Order analysis is first performed to transform the variable-speed signal from time domain to angular domain for extracting the health index in the angular domain represen
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Fan, Jiayi, Lijuan Zhao, and Minghao Li. "Research on Digital Twin Modeling and Fault Diagnosis Methods for Rolling Bearings." Sensors 25, no. 7 (2025): 2023. https://doi.org/10.3390/s25072023.

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This paper proposed a digital twin modeling method based on digital twin technology to improve the operational stability of rolling bearings and the accuracy of fault diagnosis methods. A comprehensive digital twin model for the entire lifecycle of rolling bearings was constructed using Modelica language. This model included a multi-state rolling bearing digital twin and integrated twin models for both the bearing drive and load ends. The model employed hybrid noise component to simulate the bearing’s actual operating state and degradation process with high fidelity. Based on experimental life
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Xiong, Ruolan, Aihua Liu, Dongfang Xu, Chunyang Qu, and Yulong Wu. "A New Heavy-Duty Bearing Degradation Evaluation Method with Multi-Domain Features." Sensors 24, no. 23 (2024): 7769. https://doi.org/10.3390/s24237769.

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Under heavy load conditions, bearings are subjected to non-uniform and frequently changing loads, which leads to randomness in the spatial distribution of bearing degradation characteristics. Aiming at the problem that the traditional degradation index cannot accurately reflect the degradation state of heavy-duty bearings in the whole life cycle, a new degradation evaluation method based on multi-domain features is proposed in this paper, which aims to capture the early degradation point of heavy-duty bearings and characterize their degradation trend. Firstly, the energy entropy feature is obt
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Zheng, Yuhuang. "Predicting Remaining Useful Life Based on Hilbert–Huang Entropy with Degradation Model." Journal of Electrical and Computer Engineering 2019 (February 3, 2019): 1–11. http://dx.doi.org/10.1155/2019/3203959.

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Prognostics health management (PHM) of rotating machinery has become an important process for increasing reliability and reducing machine malfunctions in industry. Bearings are one of the most important equipment parts and are also one of the most common failure points. To assess the degradation of a machine, this paper presents a bearing remaining useful life (RUL) prediction method. The method relies on a novel health indicator and a linear degradation model to predict bearing RUL. The health indicator is extracted by using Hilbert–Huang entropy to process horizontal vibration signals obtain
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Liang, Pan, Xudong Song, Shengqi Wang, Yuyang Cong, and Yilin Chen. "Remaining useful life prediction for rolling bearings using correlation coefficient and Kullback–Leibler divergence feature selection." Measurement Science and Technology 33, no. 2 (2021): 025005. http://dx.doi.org/10.1088/1361-6501/ac346d.

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Abstract The prediction accuracy of bearing remaining useful life (RUL) is not high due to the unreasonable stage division of bearing performance degradation and the blindness of feature selection. In order to solve this problem, RUL prediction for rolling bearings using Pearson product-moment correlation coefficient (PPMCC) and Kullback–Leibler divergence (KLIC) feature selection is proposed in this paper. First, in order to divide the bearing performance degradation status more accurately, a novel performance degradation state partition method is provided based on t-distributed stochastic ne
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Wang, Chenyang, Wanlu Jiang, Xukang Yang, and Shuqing Zhang. "RUL Prediction of Rolling Bearings Based on a DCAE and CNN." Applied Sciences 11, no. 23 (2021): 11516. http://dx.doi.org/10.3390/app112311516.

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Predicting the remaining useful life (RUL) of mechanical equipment can improve production efficiency while effectively reducing the life cycle cost and failure rate. This paper proposes a method for predicting the remaining service life of equipment through a combination of a deep convolutional autoencoder (DCAE) and a convolutional neural network (CNN). For rolling bearings, a health indicator (HI) could be built by combining DCAE and self-organizing map (SOM) networks, performing more advanced characterization against the original vibration data and modeling the degradation state of the roll
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Wang, Yaping, Chaonan Yang, Di Xu, Jianghua Ge, and Wei Cui. "Evaluation and Prediction Method of Rolling Bearing Performance Degradation Based on Attention-LSTM." Shock and Vibration 2021 (May 20, 2021): 1–15. http://dx.doi.org/10.1155/2021/6615920.

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It is significant for the evaluation and prediction of the performance degradation of rolling bearings. However, the degradation stage division of the rolling bearing performance is not obvious in traditional methods, and the prediction accuracy is low. Therefore, an Attention-LSTM method is proposed to improve the evaluation and prediction of the performance degradation of rolling bearings. First, to reduce the uncertainty of the manual intervention, performance degradation characteristic indexes of rolling bearings are evaluated and screened by the correlation, the monotonicity, and the robu
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Huang, Guangzhong, Wenping Lei, Xinmin Dong, Dongliang Zou, Shijin Chen, and Xing Dong. "Stage-Based Remaining Useful Life Prediction for Bearings Using GNN and Correlation-Driven Feature Extraction." Machines 13, no. 1 (2025): 43. https://doi.org/10.3390/machines13010043.

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Bearings are critical components in mechanical systems, and their degradation process typically exhibits distinct stages, making stage-based remaining useful life (RUL) prediction highly valuable. This paper presents a model that combines correlation analysis feature extraction with a Graph Neural Network (GNN)-based approach for bearing degradation stage classification and RUL prediction, aiming to achieve accurate bearing life prediction. First, the proposed Pearson–Spearman correlation metric, along with Kernel Principal Component Analysis (KPCA) and autoencoders, is used to group and fuse
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Zhang, Ying, Anchen Wang, and Hongfu Zuo. "Roller Bearing Performance Degradation Assessment Based on Fusion of Multiple Features of Electrostatic Sensors." Sensors 19, no. 4 (2019): 824. http://dx.doi.org/10.3390/s19040824.

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This paper presents a new method to assess the performance degradation of roller bearings based on the fusion of multiple features, with the aim of improving the early degradation detection ability of the electrostatic monitoring system. At first, a set of feature parameters of the electrostatic monitoring system indicating the normal state of the bearings are extracted from the perspective of the time domain, frequency domain and complexity. Then, the parameter set is processed to reduce the dimensions and eliminate the redundancy using spectral regression. With the processed features, a Gaus
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Dissertations / Theses on the topic "Degradation state of a bearing"

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Popara, Nikola. "Využití umělé inteligence k monitorování stavu obráběcího stroje." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2021. http://www.nusl.cz/ntk/nusl-444960.

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This thesis is focus on monitoring state of machine parts that are under the most stress. Type of artificial intelligence used in this work is recurrent neural network and its modifications. Chosen type of neural network was used because of the sequential character of used data. This thesis is solving three problems. In first problem algorithm is trying to determine state of mill tool wear using recurrent neural network. Used method for monitoring state is indirect. Second Problem was focused on detecting fault of a bearing and classifying it to specific category. In third problem RNN is used
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Solano, Alvarez Wilberth. "Microstructural degradation of bearing steels." Thesis, University of Cambridge, 2015. https://www.repository.cam.ac.uk/handle/1810/249201.

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The aim of the work presented in this thesis is to clarify one of the most fundamental aspects of fatigue damage in bearings steels through critical experiments, in particular whether damage in the form of cracks precedes hard “white-etching matter" formation, which is carbon supersaturated nanoscaled ferrite. Heat treatments have been designed to create four different crack types and distributions: scarce martensite plate cracks, fine grain boundary cracks, abundant martensite plate cracks, and surface cracks. Subsequent rolling contact fatigue experiments showed that the amount of hard white
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Patel, Prakash Shashikant. "Diffusion problems and degradation of bearing overlays." Thesis, London Metropolitan University, 1989. http://repository.londonmet.ac.uk/3192/.

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The corrosion and degradation of Pb-Sn bearing overlays Is a bilateral process . During service, the lubricant becomes corrosive due to the breakdown of inhibitors with subsequent oxidation occurring at operating temperatures (120-170[degrees]). ...
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Alshimmeri, Fiasael. "Diagnosis of low-speed bearing degradation using acoustic emission techniques." Thesis, Cranfield University, 2017. http://dspace.lib.cranfield.ac.uk/handle/1826/12324.

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It is widely acknowledged that bearing failures are the primary reason for breakdowns in rotating machinery. These failures are extremely costly, particularly in terms of lost production. Roller bearings are widely used in industrial machinery and need to be maintained in good condition to ensure the continuing efficiency, effectiveness, and profitability of the production process. The research presented here is an investigation of the use of acoustic emission (AE) to monitor bearing conditions at low speeds. Many machines, particularly large, expensive machines operate at speeds below 100 rpm
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Swan, Iain Peter. "The efffect of elastomeric bearing degradation on bridge dynamic response." Thesis, Edinburgh Napier University, 2006. http://researchrepository.napier.ac.uk/Output/3800.

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The dynamic response of highway bridges is a topic that has been thoroughly researched over many years. However, understanding of how the dynamic response of bridges is affected by the performance of their bearings over an extended period of time is, at present, not clearly defined. Although health monitoring of bridge structures is relatively advanced, the scope for further research is wide. The study presented in this thesis contains research on plate structures; ranging from a simple Euler-Bernoulli method to determine natural frequencies; modal analysis of a plate structure in the laborato
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Elliott, David. "Corrosion inhibitors for load-bearing steels." Thesis, University of Oxford, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.303645.

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Shields, Andrew James. "Discharge degradation of mica." Thesis, Glasgow Caledonian University, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.370768.

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Zambre, Nirupama. "Degradation Rate Modeling of Ohio State Bridges." University of Cincinnati / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1205935821.

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Prescott, Robert. "The corrosion of alloys and metals in high-temperature chlorine-bearing gases." Thesis, University of Manchester, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.236260.

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Boudghene, Stambouli Amine. "Degradation mechanism in zinc sulphide/manganese electroluminescent displays." Thesis, University of Nottingham, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.328389.

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Books on the topic "Degradation state of a bearing"

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Ryan, John C. State of the Northwest. 2nd ed. Northwest Environment Watch, 2000.

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Blakely, William Addison. American state papers bearing on Sunday legislation. W.S. Hein, 2000.

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IBON Foundation, Inc. Databank & Research Center. and Danchurchaid, eds. The state of the Philippine environment. Ibon Foundation, Databank & Research Center, 1997.

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Desk, IBON Foundation Environment, ed. The state of the Philippine environment. 2nd ed. IBON Foundation, Databank & Research Center, Environment Desk, 2000.

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Florida. Office of Environmental Education., ed. An environmental state of the state of Florida: Earth Day 1999. The Office, 1999.

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Council of Professional Social Workers (Bhubaneswar, India), ed. State of Orissa's environment: A citizen's report. Council of Professional Social Workers, 1994.

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M, Beswick John, ed. Bearing steel technology: Advances and state of the art in bearing steel quality assurance. ASTM, 2007.

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Gaan, Narottam. Environmental degradation and inter-state conflict: India vs. Bangladesh. iAcademicBooks, 2001.

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Western Australian Water Resources Council., ed. The State of the rivers of the South West. The Council, 1992.

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Beswick, John M., ed. Bearing Steel Technology-Advances and State of the Art in Bearing Steel Quality Assurance: 7th Volume. ASTM International, 2007. http://dx.doi.org/10.1520/stp1465-eb.

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Book chapters on the topic "Degradation state of a bearing"

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Chen, Hao, Niaoqing Hu, and Lun Zhang. "Rolling Bearing Degradation State Prediction with Deep Fusion Feature." In Advances in Asset Management and Condition Monitoring. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-57745-2_55.

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Chen, Chunjun, and Linshuying Huang. "Construction of Bearing Performance Degradation Indicators for Adaptive Improvement of Principal Component Analysis." In Lecture Notes in Mechanical Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-97-7887-4_101.

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Abstract Rolling bearing health assessment relies on the constructed degradation indicators, In order to improve the monotonicity and trend of the indicators, a fusion indicator construction method considering feature burr removal is proposed. For the feature burrs appearing in the rolling bearing degradation performance characterization features that deviate from the expected degradation trend, a criterion-based adaptive burr removal strategy is used to detect and remove the burrs existing in the characterization features to improve the performance of the degradation indicators; then, princip
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Sánchez-Silva, Mauricio, and Georgia-Ann Klutke. "Continuous State Degradation Models." In Springer Series in Reliability Engineering. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20946-3_5.

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Sánchez-Silva, Mauricio, and Georgia-Ann Klutke. "Discrete State Degradation Models." In Springer Series in Reliability Engineering. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20946-3_6.

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Koh, S., W. D. van Driel, C. A. Yuan, and G. Q. Zhang. "Degradation Mechanisms in LED Packages." In Solid State Lighting Reliability. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-3067-4_5.

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Číhal, Vladimír, Marie Blahetová, Zdenka Krhutová, Stanislav Lasek, and E. Kalabisová. "Passive State Degradation of Stainless Steel Welds." In Solid State Phenomena. Trans Tech Publications Ltd., 2008. http://dx.doi.org/10.4028/3-908451-49-3.189.

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Wen, Guangrui, Zihao Lei, Xuefeng Chen, and Xin Huang. "Performance Degradation Assessment Based on Transfer Learning for Bearing." In Smart Sensors, Measurement and Instrumentation. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-1176-5_5.

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Wen, Guangrui, Zihao Lei, Xuefeng Chen, and Xin Huang. "Performance Degradation Assessment Based on Adversarial Learning for Bearing." In Smart Sensors, Measurement and Instrumentation. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-1176-5_9.

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Ohyama, H., K. Takakura, T. Nagano, et al. "Degradation and their Recovery Behavior of Irradiated GaAlAs LEDs." In Solid State Phenomena. Trans Tech Publications Ltd., 2007. http://dx.doi.org/10.4028/3-908451-43-4.119.

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Gosiewski, Zdzisław, and Krzysztof Falkowski. "The Differential Passive Magnetic Bearing for High-Speed Flexible Rotor." In Solid State Phenomena. Trans Tech Publications Ltd., 2008. http://dx.doi.org/10.4028/3-908451-60-4.273.

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Conference papers on the topic "Degradation state of a bearing"

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Lindquist Hoeke, Lisa J., Robert D. Moser, Preet M. Singh, Lawrence F. Kahn, and Kimberly E. Kurtis. "Degradation of Steel Girder Bridge Bearing Systems by Corrosion." In CORROSION 2009. NACE International, 2009. https://doi.org/10.5006/c2009-09228.

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Abstract Corrosion of anchor bolts in bridge bearings presents two principal problems: (1) failure of the anchorage due to loss of bolt shear strength, and (2) loss of bearing functionality due to the build up of corrosion products. Of Georgia’s 1500 steel girder bridges, 411 (27%) were found to be experiencing anchor bolt corrosion through routine bridge inspections. Field investigations were performed at eight bridges around Georgia. Anchor bolt corrosion was found to be locally accelerated, with necking occurring at the concrete interface. This degradation is primarily due to the formation
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Peiwen, Yin, Han Baokun, Wang Jinrui, and Zhang Zongzhen. "Bearing Degradation State Estimation Based on EEMD Improved Alignment Entropy and Correlation Analysis." In 2024 Global Reliability and Prognostics and Health Management Conference (PHM-Beijing). IEEE, 2024. https://doi.org/10.1109/phm-beijing63284.2024.10874529.

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Li, Yingcheng, Yuantao Sun, Weihua Lin, Bin Cao, and Yuan Liu. "Research on Degradation State Evaluation Method of Gearbox Bearing based on VMD-CNN-BiLSTM." In 2024 24th International Conference on Control, Automation and Systems (ICCAS). IEEE, 2024. https://doi.org/10.23919/iccas63016.2024.10773017.

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Feng, Hetian, Yanchen Ye, Chen Zhang, Xudong Liu, Runhua Li, and Bilang Zhang. "FEMamba: A Feature-Enhanced Mamba Framework with Degradation-Stage Global Regularization for Bearing Remaining Useful Life Prediction." In 2025 IEEE 14th Data Driven Control and Learning Systems (DDCLS). IEEE, 2025. https://doi.org/10.1109/ddcls66240.2025.11065061.

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Steinbacher, Matthias, Rainer Fechte-Heinen, and Gerrit Hellenbrandt. "Tempering Behavior of Low Alloy Case Hardening Steels with Bainitic and Martensitic Microstructures." In IFHTSE 2024. ASM International, 2024. http://dx.doi.org/10.31399/asm.cp.ifhtse2024p0301.

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Abstract Increasing power density and rotational speed pose significant challenges for transmission design, especially in the aerospace and electro mobility sectors. Due to increased energy input and reduced heat dissipation, higher operating temperatures occur in high performance gears. At higher temperatures, the hardness and microstructure of conventional bearing and gear materials are affected by annealing effects, which can reduce the load capacity of these components. Therefore, increased operating temperatures can only be considered if the components are made of special heat-resistant,
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Li, Shengnan, Tianmin Shan, Zexi Luo, Zhenguo Jie, Han Wang, and Jinglin Wang. "Bearing Health State Fusion Evaluation." In 2024 IEEE International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC). IEEE, 2024. http://dx.doi.org/10.1109/sdpc62810.2024.10707731.

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Bi, Ran, Tiantian Wang, Jingsong Xie, et al. "Bearing Degradation Prediction based on Multi-Scale Mamba-Transformer Model." In 2025 IEEE International Conference on Prognostics and Health Management (ICPHM). IEEE, 2025. https://doi.org/10.1109/icphm65385.2025.11062029.

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Liu, Zhichao, Yongjun Pan, Hongsheng Zhang, Yi Wu, and Jingdun Pang. "Deep-learning-assisted analysis and prediction for detecting the bearing degradation." In Sixth International Conference on Image, Video Processing and Artificial Intelligence (IVPAI 2024), edited by Ruidan Su. SPIE, 2024. http://dx.doi.org/10.1117/12.3046310.

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Chen, Yen-Wen, Pin-Chi Chu, and Chia-Yen Lee. "Real Options for Maintenance Scheduling with Bearing Degradation in Panel Manufacturer." In 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE). IEEE, 2024. http://dx.doi.org/10.1109/case59546.2024.10711660.

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Clasby, Dustin, and Monique Stewart. "Bearing Grease Degradation Related to Water and Roller Bluing." In 2018 Joint Rail Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/jrc2018-6136.

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Bearing degradation and defects can result in a premature failure. Water ingress into the bearing is a factor for premature degradation, as water may corrupt internal parts and degrade the bearing grease. This paper presents the investigation of the properties of grease degradation from bearings with water-related degradations. This research provides insight into the internal state of bearings that have been replaced due to grease degradation as a result of water ingress. Separately, the railroad industry has observed bearing roller “bluing” or “lube staining.” This discoloration may be a harm
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Reports on the topic "Degradation state of a bearing"

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Meike, A. State of chemical modeling modules for the degradation of concrete and cements. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/646398.

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Balasubramaniam, Krishnan. Understanding of Materials State and its Degradation using Non-Linear Ultrasound (NLU) Approaches - Phase 3. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada592196.

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Mittermayr, D., W. Roland, and J. Fischer. Investigating the effect of liquid state decontamination on the material properties of post-consumer high impact polystyrene recyclate. Universidad de los Andes, 2024. https://doi.org/10.51573/andes.pps39.ss.cep.8.

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The global focus on environmental sustainability has intensified the need for innovative plastic waste management solutions, especially in the food packaging industry. This study explores liquid state decontamination processes of recyclates produced by post-consumer waste recycling of polystyrene yogurt cups and their effects on the material properties of the recycled material. For this purpose, different decontamination processes based on a twin-screw extruder with vacuum degassing and an industrial-scale recycling machine were applied. Tests such as tensile testing, Charpy impact testing, me
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Seale, Maria, R. Salter, Natàlia Garcia-Reyero,, and Alicia Ruvinsky. A fuzzy epigenetic model for representing degradation in engineered systems. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/45582.

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Degradation processes are implicated in a large number of system failures, and are crucial to understanding issues related to reliability and safety. Systems typically degrade in response to stressors, such as physical or chemical environmental conditions, which can vary widely for identical units that are deployed in different places or for different uses. This situational variance makes it difficult to develop accurate physics-based or data-driven models to assess and predict the system health status of individual components. To address this issue, we propose a fuzzy set model for representi
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Mason, H. E., P. Campbell, and A. Sawvel. Progress Summary: Solid-state NMR spectroscopic methods are being used to deduce the molecular structure of degradation products in Material 2. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1557075.

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Solaun, Kepa, Gerard Alleng, Adrián Flores, Chiquita Resomardono, Katharina Hess, and Helena Antich. State of the Climate Report: Suriname. Inter-American Development Bank, 2021. http://dx.doi.org/10.18235/0003398.

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Suriname is highly vulnerable to the effects of climate change. Among the factors that exacerbate its vulnerability are its dependency on fossil fuels, the degradation of important ecosystems (e.g., mangroves), and the fact that 87% of the population, and most of the countrys economic activity is located within the low-lying coastal area. Many sectors are at risk of suffering losses and damage caused by gradual changes and extreme events related to climate change. For Suriname to develop sustainably, it should incorporate climate change and its effects into its decision-making process based on
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Suir, Glenn, and Jacob Berkowitz. Inundation depth and duration impacts on wetland soils and vegetation : state of knowledge. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42146.

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The following synthesizes studies investigating plant and soil responses to increased inundation in order to support ecosystem restoration efforts related to the alteration of natural wetland hydrodynamics. Specific topics include hydrologic regimes, soil response to inundation, and implications for vegetation communities exposed to increased water depths. Results highlight the important interactions between water, soils, and vegetation that determine the trajectory and fate of wetland ecosystems, including the development of feedback loops related to marsh degradation and subsidence. This rep
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Kwon, Patrick, Carlos Juarez-Yescas, Hyewon Jeong, et al. Chemo-electrochemical evolution of cathode–solid electrolyte interface in all-solid-state batteries. Engineer Research and Development Center (U.S.), 2025. https://doi.org/10.21079/11681/49796.

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The stability of the interface between the cathode and the solid electrolyte (SE) has been found to be a key determinant of solid-state battery (SSB) performance. While interfacial failure from electro-chemical cycling has been studied, temperature effects on the chemical and electrochemical evolution of interface properties are not well-understood. We utilize a dense additive-free LiCoO2 cathode, which provides controlled morphology and crystallography, and well-known high voltage halide SEs (Li₃InCl₆ and Li₃YCl₆) to eliminate the need for cathode coating to explore the nature of interface de
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Garcia, Victor, and Benjamin Cox. Verification of current LA abrasion test criterion for aggregate degradation in airfield asphalt pavements. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/48152.

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Low-quality mineral aggregates can potentially lead to production, construction, and long-term performance-related problems in asphalt concrete pavements. Therefore, effective qualification criteria for mineral aggregates are paramount. This study was performed to investigate the effectiveness of the Los Angeles abrasion (LAA) test to assess the abrasion resistance of coarse aggregates commonly used in airfield asphalt paving. The LAA test acceptance criteria currently specified by state departments of transportation were examined and compared to the current Department of Defense criterion. Ad
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10

Rempel, K. U., A. E. Williams-Jones, and K. Fuller. An experimental investigation of the solubility and speciation of uranium in hydrothermal ore fluids. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/328995.

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Experimental data on the solubility and speciation of uranium in hydrothermal solution is required to improve genetic models for the formation of ore deposits, yet very few data of this type have been published. Of particular interest is the oxidation state of the uranium in solution, as conventional wisdom suggests that U is dissolved in the oxidized U(VI) state and precipitated as reduced U(IV) minerals, yet recent experiments have shown ppm-level solubility for U(IV). This study investigated the mobility of reduced U(IV) and oxidized U(VI) in acidic (pH = 2), fluoride- bearing and alkaline
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