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life prediction model of Machine Tool based on Deep Learning

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International Journal of Plant Engineering and Management 2021年第1期26卷 1-15页

作者： HE Jiawei ZHAO Chendi GAO Ruiyu LIU Xuehui WANG Xue School of Information Engineering China University of GeosciencesBeijing 100083China

In view of the shortage of traditional life prediction methods for machine tools,such as low accuracy of life prediction and few samples basis attributes,a life prediction model of machine tools combined with machine tool attributes is *** life prediction model of machine tool adopts KL dispersion distribution theory,uses modal superposition method to carry out machine tool life analysis,calculates the theoretical life of machine tool,and then carries on the simulation,obtains the machine tool life prediction *** with the traditional method of machine tool life prediction,the model is based on the application life fatigue damage model,which superimposes the service times and maintenance cycle of the machine tool,derives the influence factor of machine tool life,and obtains the linear relationship between the influence factor of machine tool life and the life of machine *** influence factor of machine tool life is introduced as the life prediction parameter of machine *** data transformation relationship of HT300 parts is *** original part data is *** effective training set is *** life prediction model of machine tool based on deep learning is *** quantitative analysis of machine tool life is carried *** experiment of machine tool life prediction using training data set proves the validity of the *** test was carried out on the training data set to reflect the robustness of the *** prediction accuracy of the model is further verified by Weibull test.

关键词： life prediction model machine tool KL divergence metamorphic relation data enhancement

Grain size based low cycle fatigue life prediction model for nickel-based superalloy

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Transactions of Nonferrous Metals Society of China 2018年第10期28卷 2102-2106页

作者： Peng ZHANG Qiang ZHU Gang CHEN He-yong QIN Chuan-jie WANG School of Materials Science and Engineering Harbin Institute of Technology at WeihaiWeihai 264209China Central Iron&Steel Research Institute Beijing 100081China

Nickel-based superalloys are easy to produce low cycle fatigue(LCF)damage when they are subjected to high temperature and mechanical *** life prediction of nickel-based superalloys is of great importance for their reliable practical *** investigate the effects of total strain and grain size on LCF behavior,the high temperature LCF tests were carried out for a nickel-based *** results show that the fatigue lives decreased with the increase of strain amplitude and grain size.A new LCF life prediction model was established considering the effect of grain size on fatigue *** analyses indicate that the prediction accuracy of the new LCF life model is higher than those of Manson-Coffin relationship and Ostergren energy method.

关键词： nickel-based superalloy low cycle fatigue life prediction model grain size

Methodology for predicting the life of plasma-sprayed thermal barrier coating system considering oxidation-induced damage

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Journal of Materials Science & Technology 2022年第10期105卷 45-56页

作者： Keekeun Kim Damhyun Kim Kibum Park Junghan Yun Chang-Sung Seok School of Mechanical Engineering Sungkyunkwan UniversitySuwonGyeonggi 440-746Korea

The lifespan of plasma-sprayed thermal barrier coating(TBC)systems is difficult to predict owing to the variety of microstructures and deterioration *** this study,we developed a novel TBC damage model to reflect deterioration histories;thus,it can be applied to various *** to TBCs is classifed into oxidation and mechanical damage;therefore,a detailed deterioration history can be *** addition,by introducing a virtual S–N diagram,a life prediction model that can be applied to TBCs with various microstructures was *** used the proposed damage and life prediction models in isothermal aging and thermal cycle tests with different aging *** predicted lifespan of TBCs by using the proposed models was within 95%of the results obtained by performing actual tests in the temperature range of 1150–1350℃.

关键词： Thermal barrier coatings Damage model Temperature history Thermal fatigue life prediction model

Casing life prediction using Borda and support vector machine methods

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Petroleum Science 2010年第3期7卷 416-421页

作者： Xu Zhiqian Yan Xiangzhen Yang Xiujuan College of Mechanical and Electronic Engineering China University of Petroleum Dongying Shandong 257061 China College of Storage ＆ Transportation and Architectural Engineering China University of Petroleum Dongying Shandong 257061 China

Eight casing failure modes and 32 risk factors in oil and gas wells are given in this paper. According to the quantitative analysis of the influence degree and occurrence probability of risk factors, the Borda counts for failure modes are obtained with the Borda method. The risk indexes of failure modes are derived from the Borda matrix. Based on the support vector machine （SVM）, a casing life prediction model is established. In the prediction model, eight risk indexes are defined as input vectors and casing life is defined as the output vector. The ideal model parameters are determined with the training set from 19 wells with casing failure. The casing life prediction software is developed with the SVM model as a predictor. The residual life of 60 wells with casing failure is predicted with the software, and then compared with the actual casing life. The comparison results show that the casing life prediction software with the SVM model has high accuracy.

关键词： Support vector machine method Borda method life prediction model failure modes riskfactors

Low cycle fatigue behavior of zirconium−titanium−steel composite plate

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Transactions of Nonferrous Metals Society of China 2022年第5期32卷 1530-1547页

作者： Bin-bin ZHOU Peng YU Le CHANG Chang-yu ZHOU Cheng YE Bo-jun ZHANG Engineering Technology Training Center Nanjing Vocational University of Industry TechnologyNanjing 210023China School of Mechanical and Power Engineering Nanjing Tech UniversityNanjing 211816China Jiangsu Key Lab of Design and Manufacture of Extreme Pressure Equipment Nanjing 210028China Technology Research and Development Department Nanjing Boiler and Pressure Vessel Inspection InstituteNanjing 210028China

The low cycle fatigue behavior of zirconium−titanium−steel composite plate under symmetrical and asymmetric stress control was *** effects of mean stress and stress amplitude on cyclic deformation,ratcheting effect and damage mechanism were discussed in *** results show that under symmetric stress control,the forward ratcheting deformation is *** asymmetric stress control,the ratcheting strain increases rapidly with mean stress and stress amplitude *** high stress amplitude,the influence of mean stress is more *** addition,by studying the variation of strain energy density,it is found that the stress amplitude mainly promotes the fatigue damage,while the mean stress leads to the ratcheting *** addition,fractographic observation shows that the crack initiates in the brittle metal compound at the interface,and the steel has higher resistance to crack ***,the accuracy of life prediction model considering ratcheting effect is discussed in detail,and a high-precision life prediction model directly based on mean stress and stress amplitude is proposed.

关键词： zirconium−titanium−steel composite plate low cycle fatigue behavior fatigue damage mean stress ratcheting effect life prediction model

Cycle life prediction and match detection in retired electric vehicle batteries

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Transactions of Nonferrous Metals Society of China 2013年第10期23卷 3040-3045页

作者：周向阳邹幽兰赵光金杨娟中南大学冶金与环境学院长沙410083 河南电网电力研究院郑州450052

The lifespan models of commercial 18650-type lithium ion batteries （nominal capacity of 1150 mA-h） were presented. The lifespan was extrapolated based on this model. The results indicate that the relationship of capacity retention and cycle number can be expressed by Gaussian function. The selecting function and optimal precision were verified through actual match detection and a range of alternating current impedance testing. The cycle life model with high precision （〉99%） is beneficial to shortening the orediction time and cutting the prediction cost.

关键词： retired electric vehicle battery life prediction model match detection electrochemical impedance spectroscopy equivalent circuit