Dongxu Zhang^1,*, Kaitai Feng¹, Menghui Lv¹, Zhixun Wen²

The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.4, pp. 1-3, 2024, DOI:10.32604/icces.2024.012317

Abstract Modern advanced equipment is often in high-temperature and high-load service environment for a long time, in which multiaxial creep rupture is one of the important failure modes of key components. For example, typical structures under multiaxial stresses state, such as aero-engine turbine blades film cooling holes and turbine disk groove connection structures, are usually prioritized for creep rupture failure in high-temperature, high-pressure and high-speed loading environments. At present, the coupling mechanism between temperature and stress fields in complex environments, as well as the rupture mechanisms and life characteristics of structures with multiaxial stresses in service… More >

Bo Yang^1,*, Yucun Qian¹, Jianzhong Xu², Yaxing Ren³, Yixuan Chen⁴

Energy Engineering, Vol.121, No.8, pp. 2085-2091, 2024, DOI:10.32604/ee.2024.050083 - 19 July 2024

Abstract This article has no abstract. More >

Hang Cheng¹, Jiawen Fei¹, Jianfeng Wen^1,*, Shan-Tung Tu^1,*

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… More >

Yanju Wang¹, Zhenyu Zhu², Aixue Sha¹, Wenfeng Hao^3,*

CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.3, pp. 2655-2676, 2023, DOI:10.32604/cmes.2023.025749 - 09 March 2023

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 More >

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 - 06 February 2023

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… More > Graphic Abstract

Rong Yuan¹, Ruitao Chen², Haiqing Li^3,*, Wenke Yang¹, Xiaoxiao Li¹

CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.3, pp. 2331-2347, 2023, DOI:10.32604/cmes.2023.023788 - 23 November 2022

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 More >

Ping-Huan Kuo^1,2, Ting-Chung Tseng¹, Po-Chien Luan², Her-Terng Yau^1,2,*

CMES-Computer Modeling in Engineering & Sciences, Vol.133, No.1, pp. 133-151, 2022, DOI:10.32604/cmes.2022.020350 - 18 July 2022

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 More >

Md Zahirul Islam, Chad A. Ulven^*

Journal of Renewable Materials, Vol.10, No.5, pp. 1185-1200, 2022, DOI:10.32604/jrm.2022.018018 - 22 December 2021

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… More >

Sweta Bhattacharya¹, Praveen Kumar Reddy Maddikunta¹, Iyapparaja Meenakshisundaram¹, Thippa Reddy Gadekallu¹, Sparsh Sharma², Mohammed Alkahtani³, Mustufa Haider Abidi^4,*

CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 2599-2615, 2021, DOI:10.32604/cmc.2021.016229 - 21 July 2021

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 More >

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 - 29 April 2021

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 More >