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A data-assisted physics-informed neural network(DA-PINN)for fretting fatigue lifetime prediction

International Journal of Mechanical System Dynamics 2024年第3期4卷 361-373页

作者： Can Wang Qiqi Xiao Zhikun Zhou Yongyu Yang gregor kosec Lihua Wang Magd Abdel Wahab Soete Laboratory Department of Electrical EnergyMetalsMechanical Constructions and SystemsFaculty of Engineering and ArchitectureGhent UniversityGentBelgium Department of Engineering Mechanics School of Aerospace EngineeringHuazhong University of Science and TechnologyWuhanChina Key Laboratory for Mechanics Anhui Polytechnic UniversityWuhuChina Parallel and Distributed Systems Laboratory Jožef Stefan InstituteLjubljanaSlovenia School of Aerospace Engineering and Applied Mechanics Tongji UniversityShanghaiChina College of Engineering Yuan Ze UniversityTaiwanChina

In this study,we present for the first time the application of physics-informed neural network(PINN)to fretting fatigue *** PINN has recently been applied to pure fatigue lifetime prediction,it has not yet been explored in the case of fretting *** propose a data-assisted PINN(DA-PINN)for predicting fretting fatigue crack initiation *** traditional PINN that solves partial differential equations for specific problems,DA-PINN combines experimental or numerical data with physics equations as part of the loss function to enhance prediction *** DA-PINN method,employed in this study,consists of two main ***,damage parameters are obtained from the finite element method by using critical plane method,which generates a data set used to train an artificial neural network(ANN)for predicting damage parameters in other ***,the predicted damage parameters are combined with the experimental parameters to form the input data set for the DA-PINN models,which predict fretting fatigue *** results demonstrate that DA-PINN outperforms ANN in terms of prediction accuracy and eliminates the need for high computational costs once the damage parameter data set is ***,the choice of loss-function methods in DA-PINN models plays a crucial role in determining its performance.

关键词： crack initiation data-assisted fretting fatigue finite element method physics-informed neural network

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A model for potential non-contact ski injuries of the knee

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Sports Medicine and Health Science 2020年第3期2卷 126-131页

作者： Roman Trobec gregor kosec Matjaz Veselko Institut Jozef Stefan LjubljanaSlovenia Department of Traumatology University Medical Centre LjubljanaLjubljanaSlovenia

Broadly accepted is that most knee injuries result from increased vertical forces,usually induced by an incidental ski fall,collision,or a high *** present a new non-contact knee injury mechanism that can happen during a ski *** an injury is governed by a sudden inward turn of the inner ski and consequent swing of the inner leg followed by a nearly instant stop when locked by hip and knee *** model provides predictive results for a lateral tibial plateau compression fracture because several simplifications have been *** confirmed that the modelled compression stresses at typical skiing conditions and with typical skiing equipment can provoke serious knee *** awareness of skiers and skiing equipment industry of the described knee injury mechanism can act as an important injury-prevention factor.

关键词： Non-contact injury Knee Biomechanical model Compression fracture Lateral tibial plateau

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TiO_2水基悬浮液的配制及其用于喷墨打印的性能研究

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中国印刷与包装研究 2012年第6期4卷 55-61页

作者： Danjela Kuscer Gaj Stavber gregor Trefalt Marija kosec 黄瑜 Jozef Stefan Institute 1000LjubljanaSlovenia Centre of Excellence NAMASTE LjubljanaSlovenia LEK 1234MengesSlovenia

0引言印刷电子是当今印刷领域迅速发展的新型技术,能满足产品的灵活性、经济性、功能性需求。印刷电子产品包括大幅面柔性显示器、发光二极管、太阳能电池、存储器和传感器。近年来,喷墨印刷技术已成为电子器件常用的制备方法,其可将液... 详细信息

0引言印刷电子是当今印刷领域迅速发展的新型技术,能满足产品的灵活性、经济性、功能性需求。印刷电子产品包括大幅面柔性显示器、发光二极管、太阳能电池、存储器和传感器。近年来,喷墨印刷技术已成为电子器件常用的制备方法,其可将液态先驱物（相当于油墨）直接沉积在承印物上,制得目标图案,并在计算机控制下，通过层到层的构建序列实现电子器件的制备。

关键词：喷墨打印印刷技术性能配制悬浮电子产品制备方法电子器件

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