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Research on the digital twin for thermal characteristics of motorized spindle

https://doi.org/10.1007/s00170-021-08508-y
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/12652.1868-5145openalex-snapshot
Journal of Ambient Intelligence and Humanized Computing
inferredcites →https://doi.org/10.1007/170.1433-3015openalex-snapshot
The International Journal of Advanced Manufacturing Technology
inferredcites →https://doi.org/10.1007/s00170-014-5627-8openalex-snapshot
Thermal analysis of the hydrostatic spindle system by the finite volume element method
inferredcites →https://doi.org/10.1007/s00170-016-9722-xopenalex-snapshot
Research on the machine tool’s temperature spectrum and its application in a gear form grinding machine
inferredcites →https://doi.org/10.1007/s00170-020-04961-3openalex-snapshot
Fast heat conduction-based thermal error control technique for spindle system of machine tools
inferredcites →https://doi.org/10.1007/s12541-015-0039-8openalex-snapshot
A study on the thermal characteristics and experiments of High-Speed spindle for machine tools
inferredcites →https://doi.org/10.1007/s12652-018-0911-3openalex-snapshot
An application framework of digital twin and its case study
inferredcites →https://doi.org/10.1016/j.aei.2021.101395openalex-snapshot
A digital twin-driven approach towards traceability and dynamic control for processing quality
inferredcites →https://doi.org/10.1016/j.applthermaleng.2012.04.055openalex-snapshot
A study of thermal deformation in the carriage of a permanent magnet direct drive linear motor stage
inferredcites →https://doi.org/10.1016/j.applthermaleng.2016.05.123openalex-snapshot
An inverse method for estimating heat sources in a high speed spindle
inferredcites →https://doi.org/10.1016/j.cirp.2017.04.040openalex-snapshot
Shaping the digital twin for design and production engineering
inferredcites →https://doi.org/10.1016/j.cirp.2018.04.055openalex-snapshot
Digital twin driven prognostics and health management for complex equipment
inferredcites →https://doi.org/10.1016/j.compeleceng.2021.107264openalex-snapshot
Digital twin product lifecycle system dedicated to the constant velocity joint
inferredcites →https://doi.org/10.1016/j.ijmachtools.2016.09.008openalex-snapshot
Analytical modeling for thermal errors of motorized spindle unit
inferredcites →https://doi.org/10.1016/j.ijthermalsci.2019.01.022openalex-snapshot
Thermal contact resistance between bearing inner ring and shaft journal
inferredcites →https://doi.org/10.1016/j.jmsy.2020.06.002openalex-snapshot
Consistency retention method for CNC machine tool digital twin model
inferredcites →https://doi.org/10.1016/j.precisioneng.2011.02.005openalex-snapshot
Thermal error of a hydrostatic spindle
inferredcites →https://doi.org/10.1016/j.procir.2018.03.103openalex-snapshot
Digital Twin Service towards Smart Manufacturing
inferredcites →https://doi.org/10.1016/j.rcim.2019.101837openalex-snapshot
Digital Twin-driven smart manufacturing: Connotation, reference model, applications and research issues
inferredcites →https://doi.org/10.1080/00207543.2018.1443229openalex-snapshot
Digital twin-driven product design framework
inferredcites →https://doi.org/10.1109/access.2018.2793265openalex-snapshot
Digital Twin and Big Data Towards Smart Manufacturing and Industry 4.0: 360 Degree Comparison
inferredcites →https://doi.org/10.1109/icnsc.2018.8361285openalex-snapshot
Digital twin modeling method for CNC machine tool
inferredcites →https://doi.org/10.1155/2011/154798openalex-snapshot
Reengineering Aircraft Structural Life Prediction Using a Digital Twin
inferredcites →https://doi.org/10.1155/ijaeopenalex-snapshot
International Journal of Aerospace Engineering
inferredcites →https://doi.org/10.2507/29th.daaam.proceedings.083openalex-snapshot
Digital Twin Applications: Diagnostics, Optimisation and Prediction
inferredcites →https://doi.org/10.3390/su12093658openalex-snapshot
Digital Twin of Experimental Smart Manufacturing Assembly System for Industry 4.0 Concept

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4176004openalex-extracted
inferred← citeshttps://doi.org/10.1007/s00170-024-13204-8openalex-snapshot
Prediction of temperature field in the whole process of instantaneous and steady state of high-speed motorized spindle
inferred← citeshttps://doi.org/10.1007/s00170-024-14538-zopenalex-snapshot
Digital twin-driven lifecycle management for motorized spindle
inferred← citeshttps://doi.org/10.1007/s00170-025-16264-6openalex-snapshot
Selection of temperature measuring points for thermal error modeling of machine tools based on digital twin
inferred← citeshttps://doi.org/10.1007/s10845-023-02234-wopenalex-snapshot
Enhanced modeling method of thermal behaviors in machine tool motorized spindles based on the mixture of thermal mechanism and machine learning
inferred← citeshttps://doi.org/10.1007/s10845-025-02571-yopenalex-snapshot
A review of artificial intelligence application for machining surface quality prediction: from key factors to model development
inferred← citeshttps://doi.org/10.1007/s10845-026-02936-xopenalex-snapshot
POD-GRU-PINN for electric spindle thermal modeling
inferred← citeshttps://doi.org/10.1007/s10973-025-15251-zopenalex-snapshot
Thermal error control technology for high-speed motorized spindles: a review
inferred← citeshttps://doi.org/10.1007/s12206-025-0306-2openalex-snapshot
Research on the magnetic-thermal coupling dynamic characteristics of motorized spindle based on digital twin
inferred← citeshttps://doi.org/10.1016/j.aei.2026.104384openalex-snapshot
Spatiotemporal dynamic modeling approach for distributed thermal processes under digital twin framework
inferred← citeshttps://doi.org/10.1016/j.applthermaleng.2022.119456openalex-snapshot
Data-Driven Varying State-Space Model Based on Thermal Network for Transient Temperature Field Prediction of Motorized Spindles
inferred← citeshttps://doi.org/10.1016/j.cjme.2025.100016openalex-snapshot
Digital twin‐based error motion monitoring and prediction method for aerostatic spindle
inferred← citeshttps://doi.org/10.1016/j.csite.2023.103152openalex-snapshot
Heat transfer theory research and multi-physical field simulation optimization of high-speed motorized spindle
inferred← citeshttps://doi.org/10.1016/j.icheatmasstransfer.2026.110959openalex-snapshot
Digital twin-based intelligent prediction for thermal degradation of permanent magnet synchronous motors
inferred← citeshttps://doi.org/10.1016/j.ijmachtools.2025.104298openalex-snapshot
A review of robust thermal error reduction of machine tools
inferred← citeshttps://doi.org/10.1016/j.jmapro.2024.10.029openalex-snapshot
Digital-driven in-situ monitoring for thermally-induced volumetric errors of CNC machine tools
inferred← citeshttps://doi.org/10.1016/j.mfglet.2023.08.014openalex-snapshot
When is a simulation a digital twin? A systematic literature review
inferred← citeshttps://doi.org/10.1016/j.precisioneng.2024.02.011openalex-snapshot
Post-process updating of model parameters to approximate thermal errors of machine tools operating in different configurations
inferred← citeshttps://doi.org/10.1016/j.rcim.2024.102762openalex-snapshot
Digital twin enhanced quality prediction method of powder compaction process
inferred← citeshttps://doi.org/10.1049/hve2.12260openalex-snapshot
Fast electrothermal coupling calculation method for supporting digital twin construction of electrical equipment
inferred← citeshttps://doi.org/10.1080/15599612.2026.2732588openalex-snapshot
Mechatronic digital twin monitoring of hydrostatic rotary tables using multi-point thermal sensing and spatial reconstruction
inferred← citeshttps://doi.org/10.1080/27525783.2025.2533848openalex-snapshot
Enabling Digital Twins: a simulation software perspective
inferred← citeshttps://doi.org/10.1080/27525783.2025.2538727openalex-snapshot
Digital twins for machine tools: a systematic mapping study
inferred← citeshttps://doi.org/10.1088/1361-6501/add956openalex-snapshot
An error measurement method of non-circular gear tooth profiles based on digital twin
inferred← citeshttps://doi.org/10.1109/acdsa65407.2025.11166550openalex-snapshot
Digital Twin Enabled Performance Optimization of Machine Tools: A Survey
inferred← citeshttps://doi.org/10.1109/aibthings58340.2023.10292454openalex-snapshot
IIoDT: Industrial Internet of Digital Twins for Hierarchical Asset Management in Manufacturing
inferred← citeshttps://doi.org/10.1109/aibthings58340.2023.10292492openalex-snapshot
Design Considerations for Building an IoT Enabled Digital Twin Machine Tool Sub-System
inferred← citeshttps://doi.org/10.1117/12.3013119openalex-snapshot
Generating synthetic data for data-driven solutions via a digital twin for condition monitoring in machine tools
inferred← citeshttps://doi.org/10.1177/09544062241303384openalex-snapshot
Research on pitch error measurement method of non-circular gear based on digital twin
inferred← citeshttps://doi.org/10.1186/s10033-025-01224-8openalex-snapshot
Digital Twin-driven Inversion of Assembly Precision for Industrial Equipment: Challenges, Progress and Perspectives
inferred← citeshttps://doi.org/10.23947/2687-1653-2024-24-2-178-189openalex-snapshot
Implementation of a Digital Model of Thermal Characteristics Based on the Temperature Field
inferred← citeshttps://doi.org/10.3390/app13053291openalex-snapshot
A Digital Twin-Based State Monitoring Method of Gear Test Bench
inferred← citeshttps://doi.org/10.3390/lubricants11050219openalex-snapshot
Digital Twin-Driven Thermal Error Prediction for CNC Machine Tool Spindle
inferred← citeshttps://doi.org/10.3390/lubricants12060185openalex-snapshot
Development of a Digital Model for Predicting the Variation in Bearing Preload and Dynamic Characteristics of a Milling Spindle under Thermal Effects
inferred← citeshttps://doi.org/10.3390/lubricants13060269openalex-snapshot
Monitoring and Prediction of the Real-Time Transient Thermal Mechanical Behaviors of a Motorized Spindle Tool
inferred← citeshttps://doi.org/10.35546/kntu2078-4481.2023.4.17openalex-snapshot
DIGITAL TWIN OF SPINDLE UNITS. REVIEW
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.