Results 11 to 20 of about 2,009,459 (332)
The Thermal Error Modeling with Deep Transfer Learning
Journal of Physics: Conference Series, 2020 Abstract Thermal error of CNC machine tools is one of the main factors affecting the machining accuracy. The data-driven method for thermal error modeling is an effective and efficient, but they have some flaws, such as poor accuracy, bad robustness, and etc. because of having no quite enough data set and imbalanced data set.
Peiwen Li +3 more
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Research progress of machine tool thermal error modeling technology
Journal of Hebei University of Science and Technology, 2015 During cutting, machine tools are influenced by different heat sources, which induces machine thermal deformation, deviation and thermal error. In different machine errors, thermal error accounts for 40%~70% of total machine errors, which is the main ...
Qianjian GUO, Hongmei WANG, Aijun LI
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Thermal error modelling for real-time error compensation [PDF]
The International Journal of Advanced Manufacturing Technology, 1996 A modelling strategy for the prediction of both the scalar and the position-dependent thermal error components is presented. Two types of empirical modelling method based on the multiple regression analysis (MRA) and the artificial neural network (ANN) have been proposed for the reaLtime prediction of thermal errors with multiple temperature ...
Chen, J. S., Yuan, J., Ni, Jun
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Research on Thermal Characteristics of Ball Screw Feed System Considering Nut Movement
Machines, 2021 The heat generated by the ball screw feed system will produce thermal errors, which will cause the positioning accuracy to decrease. The thermal simulation modeling of the ball screw feed system is the basis for compensating thermal errors.
Hongliang Liu +3 more
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Thermal error modeling based on BiLSTM deep learning for CNC machine tool
Advances in Manufacturing, 2021 The machining accuracy of computer numerical control machine tools has always been a focus of the manufacturing industry. Among all errors, thermal error affects the machining accuracy considerably.
Puling Liu +5 more
semanticscholar +1 more source
Thermal Error Model of Linear Motor Feed System Based on Bayesian Neural Network
IEEE Access, 2021 The linear motor feed system has been in service in complex working conditions for a long time, thus causing the nonuniform distribution of the temperature field distribution.
Shengsen Liu +4 more
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ASSESSING GEO-TYPICAL TECHNIQUES FOR MODELING BUILDINGS USING THERMAL SIMULATIONS [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Building modeling from remote sensing data is essential for creating accurate 3D and 4D digital twins, especially for temperature modeling. In order to represent buildings as gap-free, visually appealing, and rich in details models, geo-typical ...
D. Bulatov +6 more
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The check problem of food thermal processes: A mathematical solution [PDF]
, 2015 To calculate the sterilizing value U, and hence, the microbial lethality F in thermal processes of the canned food, starting from the knowledge of heating time B, a mathematical modeling was carried out.
Friso, Dario
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Optimal Parameter Extraction Scheme of Current Sources and Bias Dependent Elements for HBT by searching the whole unknown Parameter Space [PDF]
, 2003 New analytical expressions for the dynamic resistance,transconductance,base-collector internal capacitance,and base-emitter internal capacitance are derived.And a new scheme,to extract the current source parameters,thermal parameter,and small signal ...
Kim, I.S., Song, J.S., SuH, Youngsuk
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A review on transfer learning in spindle thermal error compensation of spindle [PDF]
Advanced ManufacturingData-driven approaches offer unprecedented opportunities for smart manufacturing to facilitate the transition to Industry 4.0-based production. One of the key factors affecting the accuracy of machine tools is the thermal error caused by thermal ...
Yue Zheng +5 more
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