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  • Open Access


    Predictive Maintenance of Alkaline Water Electrolysis System for Hydrogen Production Based on Digital Twin

    Hang Cheng1, Jiawen Fei1, Jianfeng Wen1,*, Shan-Tung Tu1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.27, No.2, pp. 1-1, 2023, DOI:10.32604/icces.2023.09663

    Abstract Alkaline water electrolysis system for hydrogen production has the characteristics of complex structure, fault coupling and state nonlinearity, coupled with the restriction by many factors such as data acquisition methods and analysis methods. The operation status cannot be fully characterized through current monitoring information. In order to solve the problems in health status assessment in the operation of alkaline water electrolysis system, a digital twin-driven predictive maintenance method is put forward to achieve the real-time monitoring of operation status and prediction of remaining useful life. In the study, a multi-disciplinary simulation model of the alkaline electrolysis system and a physical… More >

  • Open Access


    Numerical Simulation of Low Cycle Fatigue Behavior of Ti2AlNb Alloy Subcomponents

    Yanju Wang1, Zhenyu Zhu2, Aixue Sha1, Wenfeng Hao3,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.3, pp. 2655-2676, 2023, DOI:10.32604/cmes.2023.025749

    Abstract Many titanium alloy subcomponents are subjected to fatigue loading in aerospace engineering, resulting in fatigue failure. The fatigue behavior of Ti2AlNb alloy subcomponents was investigated based on the Seeger fatigue life theory and the improved Lemaitre damage evolution theory. Firstly, the finite element models of the standard openhole specimen and Y-section subcomponents have been established by ABAQUS. The damage model parameters were determined by fatigue tests, and the reliability of fatigue life simulation results of the Ti2AlNb alloy standard open-hole specimen was verified. Meanwhile, the fatigue life of Ti2AlNb alloy Y-section subcomponents was predicted. Under the same initial conditions, the… More >

  • Open Access


    Numerical Simulation of Fretting Fatigue Damage Evolution of Cable Wires Considering Corrosion and Wear Effects

    Ying Wang*, Zheng Yan, Yangyang Wu

    CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1339-1370, 2023, DOI:10.32604/cmes.2023.025830

    Abstract In this paper, a numerical model of fretting fatigue analysis of cable wire and the fretting fatigue damage constitutive model considering the multi-axis effect were established, and the user material subroutine UMAT was written. Then, the constitutive model of wear morphology evolution of cable wire and the constitutive model of pitting evolution considering the mechanical-electrochemical effect were established, respectively. The corresponding subroutines UMESHMOTION_Wear and UMESHMOTION_Wear_Corrosion were written, and the fretting fatigue life was further predicted. The results show that the numerical simulation life obtained by the program in this paper has the same trend as the tested one; the error… More > Graphic Abstract

    Numerical Simulation of Fretting Fatigue Damage Evolution of Cable Wires Considering Corrosion and Wear Effects

  • Open Access


    Dynamic Reliability Evaluation and Life Prediction of Transmission System of Multi-Performance Degraded Wind Turbine

    Rong Yuan1, Ruitao Chen2, Haiqing Li3,*, Wenke Yang1, Xiaoxiao Li1

    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.3, pp. 2331-2347, 2023, DOI:10.32604/cmes.2023.023788

    Abstract Wind power is a kind of important green energy. Thus, wind turbines have been widely utilized around the world. Wind turbines are composed of many important components. Among these components, the failure rate of the transmission system is relatively high in wind turbines. It is because the components are subjected to aerodynamic loads for a long time. In addition, its inertial load will result in fatigue fracture, wear and other problems. In this situation, wind turbines have to be repaired at a higher cost. Moreover, the traditional reliability methods are difficult to deal with the above challenges when performing the… More >

  • Open Access


    Dense-Structured Network Based Bearing Remaining Useful Life Prediction System

    Ping-Huan Kuo1,2, Ting-Chung Tseng1, Po-Chien Luan2, Her-Terng Yau1,2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.133, No.1, pp. 133-151, 2022, DOI: 10.32604/cmes.2022.020350

    Abstract This work is focused on developing an effective method for bearing remaining useful life predictions. The method is useful in accurately predicting the remaining useful life of bearings so that machine damage, production outage, and human accidents caused by unexpected bearing failure can be prevented. This study uses the bearing dataset provided by FEMTO-ST Institute, Besançon, France. This study starts with the exploration of neural networks, based on which the biaxial vibration signals are modeled and analyzed. This paper introduces pre-processing of bearing vibration signals, neural network model training and adjustment of training data. The model is trained by optimizing… More >

  • Open Access


    Effect of Loading Frequency on the High Cycle Fatigue Strength of Flax Fiber Reinforced Polymer Matrix Composites

    Md Zahirul Islam, Chad A. Ulven*

    Journal of Renewable Materials, Vol.10, No.5, pp. 1185-1200, 2022, DOI:10.32604/jrm.2022.018018

    Abstract Among natural fibers, flax fiber reinforced polymer matrix composites show excellent dynamic/fatigue properties due to its excellent damping properties. Knowledge about fatigue limit and effect of loading frequency on fatigue limit is very crucial to know before being used a member as a structural component. Fatigue limit of fiber reinforced composite is measured through high cycle fatigue strength (HCFS). The effect of loading frequency on the HCFS of flax fiber reinforced polymer matrix composites was investigated using stabilized specimen surface temperature based thermographic and dissipated energy per cycle-based approaches. Specimens of unidirectional flax fiber reinforced thermoset composites were tested under… More >

  • Open Access


    Deep Neural Networks Based Approach for Battery Life Prediction

    Sweta Bhattacharya1, Praveen Kumar Reddy Maddikunta1, Iyapparaja Meenakshisundaram1, Thippa Reddy Gadekallu1, Sparsh Sharma2, Mohammed Alkahtani3, Mustufa Haider Abidi4,*

    CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 2599-2615, 2021, DOI:10.32604/cmc.2021.016229

    Abstract The Internet of Things (IoT) and related applications have witnessed enormous growth since its inception. The diversity of connecting devices and relevant applications have enabled the use of IoT devices in every domain. Although the applicability of these applications are predominant, battery life remains to be a major challenge for IoT devices, wherein unreliability and shortened life would make an IoT application completely useless. In this work, an optimized deep neural networks based model is used to predict the battery life of the IoT systems. The present study uses the Chicago Park Beach dataset collected from the publicly available data… More >

  • Open Access


    A Simplified Model for the Prediction of the Erosion of a Metal Screen for Sand Control

    Baocheng Shi*, Ruomeng Ying, Lijuan Wu, Jianpeng Pan, Xingkai Zhang, Kai Liu, Yindi Zhang

    FDMP-Fluid Dynamics & Materials Processing, Vol.17, No.3, pp. 667-682, 2021, DOI:10.32604/fdmp.2021.012693

    Abstract In oil drilling processes, sand production in the oil layer is a common issue, generally mitigated by means of sand control screens. To prevent or reduce the risk of damage of these screens and to improve the related service life, it is necessary to investigate the related erosion dynamics. In this study, a screen mesh model based on the flow field similarity theory is proposed to overcome the otherwise too complex geometric structure of this type of equipment. Such model is optimized using experimental data. The predicted results are in good agreement with the measured values, and the error is… More >

  • Open Access


    Real Time Damage State Estimation and Condition Based Residual Useful Life Estimation of a Metallic Specimen under Biaxial Loading

    S.Mohanty1, A. Chattopadhyay2, J. Wei3, P. Peralta4

    Structural Durability & Health Monitoring, Vol.5, No.1, pp. 33-56, 2009, DOI:10.3970/sdhm.2009.005.033

    Abstract The current state of the art in the area of real time structural health monitoring techniques offers adaptive damage state prediction and residual useful life assessment. The present paper discusses the use of an integrated prognosis model, which combines an on-line state estimation model with an off-line predictive model to adaptively estimate the residual useful life of an Al-6061 cruciform specimen under biaxial loading. The overall fatigue process is assumed to be a slow time scale process compared to the time scale at which, the sensor signals were acquired for on-line state estimation. The on-line state estimation model was based… More >

  • Open Access


    An Improved Wheeler Model for Remaining Life Prediction of Cracked Plate Panels Under Tensile-Compressive Overloading

    A. Rama Ch,ra Murthy1, G.S. Palani1, Nagesh R. Iyer1

    Structural Durability & Health Monitoring, Vol.1, No.3, pp. 203-214, 2005, DOI:10.3970/sdhm.2005.001.203

    Abstract This paper presents an improved Wheeler residual stress model for remaining life prediction of the cracked structural components under variable amplitude loading. The improvement to the Wheeler residual stress model is in two folds. One is expressions for the shaping exponent, which are generally obtained through experiments. Another is calculation of effective plastic zone size to incorporate the sequent effects under tensile-compressive overloading. The remaining life prediction has been carried out by employing the linear elastic fracture mechanics (LEFM) principles. Studies on remaining life prediction of cracked plate panels subjected to tensile-compressive overloading have been carried out for validating the… More >

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