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Research on Reduced-Order Model of Heat Treatment Online Simulation for Digital Twin Application
by
Tong, Daming
, Gong, Miao
, Yang, Xingyun
, Gu, Jianfeng
, Li, Chuanwei
in
Artificial intelligence
/ Boundary conditions
/ digital twin
/ Digital twins
/ Efficiency
/ end-quenching
/ Finite volume method
/ Fluid dynamics
/ Heat treating
/ Heat treatment
/ intelligent heat treatment
/ Partial differential equations
/ Quenching
/ Real time
/ Reduced order models
/ reduced-order model
/ Simulation
/ Temperature distribution
/ Water sprays
2026
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Research on Reduced-Order Model of Heat Treatment Online Simulation for Digital Twin Application
by
Tong, Daming
, Gong, Miao
, Yang, Xingyun
, Gu, Jianfeng
, Li, Chuanwei
in
Artificial intelligence
/ Boundary conditions
/ digital twin
/ Digital twins
/ Efficiency
/ end-quenching
/ Finite volume method
/ Fluid dynamics
/ Heat treating
/ Heat treatment
/ intelligent heat treatment
/ Partial differential equations
/ Quenching
/ Real time
/ Reduced order models
/ reduced-order model
/ Simulation
/ Temperature distribution
/ Water sprays
2026
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Research on Reduced-Order Model of Heat Treatment Online Simulation for Digital Twin Application
by
Tong, Daming
, Gong, Miao
, Yang, Xingyun
, Gu, Jianfeng
, Li, Chuanwei
in
Artificial intelligence
/ Boundary conditions
/ digital twin
/ Digital twins
/ Efficiency
/ end-quenching
/ Finite volume method
/ Fluid dynamics
/ Heat treating
/ Heat treatment
/ intelligent heat treatment
/ Partial differential equations
/ Quenching
/ Real time
/ Reduced order models
/ reduced-order model
/ Simulation
/ Temperature distribution
/ Water sprays
2026
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Research on Reduced-Order Model of Heat Treatment Online Simulation for Digital Twin Application
Journal Article
Research on Reduced-Order Model of Heat Treatment Online Simulation for Digital Twin Application
2026
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Overview
Digital twin technology puts forward higher requirements on the real-time performance of simulations. In order to realize the online simulation of the heat treatment process, a transient temperature field-microstructure field coupling calculation method based on the reduced-order model was constructed. This mathematical model was applied to the online simulation of the end-quenching treatment of 42CrMo steel with complex time-varying water spray. The results show that the utilization of a 10th-order reduced-order model diminishes the total computation time from 1 h to 3.4 s, with a reduction in storage requirements by a factor of 610. The calculation accuracy of the reduced-order model is 99.2%, which satisfies the requirements of real-time online simulation. A framework for the heat treatment digital twin system has been proposed and an online simulation platform for end-quenching treatment was developed. The single-step calculation time for the proposed platform is 0.4 s. The online simulation temperature is basically consistent with the measured temperature results. This work provides novel avenues for fast calculation and real-time control of the heat treatment process.
Publisher
MDPI AG
Subject
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