Results 1 to 10 of about 25,726 (266)
A Dual-Stage Attention Model for Tool Wear Prediction in Dry Milling Operation [PDF]
Entropy, 2022 The intelligent monitoring of tool wear status and wear prediction are important factors affecting the intelligent development of the modern machinery industry.
Yongrui Qin +4 more
doaj +2 more sources
Research on the Prediction of Roll Wear in a Strip Mill
MetalsIn the process of hot rolling silicon steel, roll wear directly affect its shape. Accurate prediction of roll wear is an important condition for rolling qualified silicon steel strips.
Jianhua Wei, Aimin Zhao
doaj +3 more sources
Prediction of Tool Wear Rate and Tool Wear during Dry Orthogonal Cutting of Inconel 718
Metals, 2023 A new prediction method was proposed based on the positive feedback relationship between tool geometry and tool wear rate. Dry orthogonal cutting of Inconel 718 was used as a case study. Firstly, tool wear rate models and a tool wear prediction flowchart
Ziqi Zhang +3 more
doaj +1 more source
Predicting Wear under Boundary Lubrication: A Decisive Statistical Study
Lubricants, 2023 The forthcoming revolution in mobility and the use of lubricants to ensure ecological friendliness intensifies the pressure on tribology for predictors in new life cycles, mainly addressing wear.
Bernd Goerlach +3 more
doaj +1 more source
Friction, 2023 A comprehensive modeling strategy for studying the thermomechanical tribological behaviors is proposed in this work. The wear degradation considering the influence of temperature (T) is predicted by Archard wear model with the help of the UMESHMOTION ...
Jiabao Yin, Chun Lu, Jiliang Mo
doaj +1 more source
Applied Sciences, 2023 A wear prediction model is built to research the wear of the curved switch rail in a high-speed turnout. The Archard wear model is used in the wear prediction model to analyze the profile evolution law.
Shuo Yan +4 more
doaj +1 more source
MethodsX, 2023 Cutter wear is one of the key factors influencing construction efficiency during shield tunnelling. Prediction of cutter wear can improve construction efficiency by reducing the times of cutter inspections in engineering practice.
Nan Zhang, Lin-Shuang Zhao
doaj +1 more source
IEEE Access, 2021 Reliable and precise multi-step-ahead tool wear state prediction is significant to modern industries for maintaining part quality and reducing cost. This study proposes a Clustering Feature-based Recurrent Fuzzy Neural Network (CFRFNN) for tool wear ...
Jiachen Yao, Baochun Lu, Junli Zhang
doaj +1 more source
Development of a model for predicting worn profile of rail under the mixed slip conditions
Nihon Kikai Gakkai ronbunshu, 2020 Rail wear does not develop in a short term, but it is closely related to crack initiation. Furthermore, there is a possibility that the worn profile of rail influences the curving performance or the running stability.
Masahiro TSUJIE +3 more
doaj +1 more source
Distribution and Prediction of Incremental Cutter Flank Wear in High-Efficiency Milling
Applied Sciences, 2023 In the milling of titanium alloy workpieces, tool wear seriously affects the surface quality of a workpiece and its tool life. It is of great significance to study the influence of instantaneous contact stiffness on instantaneous friction variables and ...
Peiyi Zhao +3 more
doaj +1 more source