A multiscale-approach for wear prediction in journal bearing systems – from wearing-in towards steady-state wear
Sign Up to like & getrecommendations! Published in 2019 at "Wear"
DOI: 10.1016/j.wear.2019.01.036
Abstract: Abstract The present study aims to predict the wear in journal bearings during steady-state operation in the mixed-lubrication regime starting with a critical assessment of commonly used wear laws. A novel numerical method is introduced… read more here.
Keywords: steady state; journal bearing; wear prediction;
Experimental validation of a fast wheel wear prediction model
Sign Up to like & getrecommendations! Published in 2021 at "Wear"
DOI: 10.1016/j.wear.2021.204090
Abstract: Abstract Wheel-rail wear prediction is a fundamental matter in order to study problems such as wheel lifespan prediction and evolution of vehicle dynamic characteristics with time. However, one of the principal drawbacks of the existing… read more here.
Keywords: evolution; validation; wheel wear; wear prediction ... See more keywords
Milling tool wear prediction: optimized long short-term memory model based on attention mechanism
Sign Up to like & getrecommendations! Published in 2023 at "Ferroelectrics"
DOI: 10.1080/00150193.2023.2198372
Abstract: Abstract To improve the prediction accuracy of milling tool wear, a prediction method based on Attention-LSTM is proposed. In the training phase, first, the data are pre-processed by truncation, downsampling, and the Hampel filtering method,… read more here.
Keywords: tool wear; prediction; milling tool; wear prediction ... See more keywords
Development of Lightweight RBF-DRNN and Automated Framework for CNC Tool-Wear Prediction
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DOI: 10.1109/tim.2022.3164063
Abstract: Computer numerical control (CNC) tool-wear prediction (TWPred) is an important issue in the industry. Recently, researchers have demonstrated that deep-learning models (DLMs) are effective in TWPred. However, DLMs are ill-suited to small- and medium-scale manufacturers… read more here.
Keywords: cnc tool; wear prediction; framework; lightweight dlm ... See more keywords
A Physics-Assisted Online Learning Method for Tool Wear Prediction
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DOI: 10.1109/tim.2023.3273683
Abstract: Tool wear prediction is critical in machining because worn tools lead to poor precision and quality in production. Conventional tool wear prediction methods include physics-driven methods, which are typically independent of real-time working conditions, and… read more here.
Keywords: physics; tool wear; prediction; wear prediction ... See more keywords
Wear prediction considering dynamic load for spur gear in mixed elastohydrodynamic lubrication
Sign Up to like & getrecommendations! Published in 2022 at "Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology"
DOI: 10.1177/13506501221134998
Abstract: In this work, a wear prediction model considering the dynamic load is proposed for spur gears in mixed elastohydrodynamic lubrication (EHL). The dynamic load is calculated by gear dynamic model. Combining gear wear model and… read more here.
Keywords: dynamic load; mixed elastohydrodynamic; wear prediction; considering dynamic ... See more keywords
A Dual-Stage Attention Model for Tool Wear Prediction in Dry Milling Operation
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DOI: 10.3390/e24121733
Abstract: The intelligent monitoring of tool wear status and wear prediction are important factors affecting the intelligent development of the modern machinery industry. Many scholars have used deep learning methods to achieve certain results in tool… read more here.
Keywords: wear prediction; prediction; model; attention ... See more keywords