Design and Fabrication of a 1-MW High-Temperature Superconductor DC Induction Heater

Yang, Ping; Wang, Yawei; Qiu, Derong; Chang, Tongxu; Ma, Huatao; Zhu, Jiamin; Jin, Zhijian; Hong, Zhiyong

doi:10.1109/tasc.2018.2810498

Cited by 33 publications

(11 citation statements)

References 33 publications

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“…To verify the peak electromagnetic torque, based on the 3D FEM model, experimental measurements were performed using the superconducting DC induction heater of a torque monitor system [21]. Fig.…”

Section: B Torque Measurement Systemmentioning

confidence: 99%

“…The peak electromagnetic torque in superconducting DC heaters has rarely been reported. It is now considered one of three main technical challenges for MW-class superconducting DC induction heaters [20], [21].…”

Section: Introductionmentioning

confidence: 99%

“…Based on experimental and simulation results, the peak electromagnetic torque was not obvious for small diameter aluminum billets (<200 mm). The world's first commercial MW-class superconducting DC induction heater was proposed and developed by China in 2019 [4]- [7], [9], [13], [19]- [21], [24], [36]- [46]. It has been designed for aluminum billets with diameters of 200-446 mm and lengths of 80-1500 mm.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of Peak Electromagnetic Torque Characteristics for Superconducting DC Induction Heaters

Yang

Dai

et al. 2020

IEEE Access

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The efficiency of novel superconducting direct current (DC) induction heaters can be up to 80-90%. This is much higher than the 40-50% of conventional alternating current induction heaters. Induction heaters are used to preheat aluminum billets in extrusion pressing. Such devices use a driving motor to rotate the billet. A peak in the electromagnetic torque appears at low rotation speeds (of the motor). Therefore, this peak electromagnetic torque is of particular interest when designing the driving system, which is one of the main challenges for megawatt-class superconducting DC induction heaters. In this paper, the peak electromagnetic torque characteristics of different sized billets were analyzed. A numerical 3D finite element method model was built to analyze the peak electromagnetic torque and resistive heating power behavior of aluminum billets. The results obtained from simulations and experiments match well. The effect of the following five relative parameters, on electromagnetic torque and resistive heating power, were studied: billet diameter, billet length, magnetic flux density, billet material, and electrical conductivity. The peak electromagnetic torque increases nonlinearly with increasing billet diameter, up to 640 mm. The time elapsed between the peak to stable torque decreases nonlinearly with increasing magnetic flux density. The effects of billet material (copper, titanium alloy and stainless steel) on torque were analyzed and compared. These results are likely to guide more cost-effective and practical designs for the billet driving system of superconducting DC induction heaters. INDEX TERMS Superconducting DC induction heater, peak electromagnetic torque, aluminum billet, magnetic flux density.

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Section: B Torque Measurement Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Analysis of Peak Electromagnetic Torque Characteristics for Superconducting DC Induction Heaters

Yang

Dai

et al. 2020

IEEE Access

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“…Besides, by modifying the polymer consistent force field, a molecular dynamics simulation based approach has been carried out to predict Tg of polyhydroxyalkanoates-based polymers. Density functional theory is used to refine a set of torsion potentials of the polymer backbone, including the number of polymer chains, chain length, supercell size, and simulated thermal quenching rate [20] , [21] , [22] , [23] , [24] , [25] . The effective activation energy and mutual diffusion coefficient is dependent on temperature, as shown in the enhanced model describing the polymer-solvent diffusion above and below Tg [26] .…”

Section: Introductionmentioning

confidence: 99%

Machine learning glass transition temperature of polymers

Zhang

2020

Heliyon

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As an important thermophysical property, polymers' glass transition temperature, Tg, could sometimes be difficult to determine experimentally. Modeling methods, particularly data-driven approaches, are promising alternatives to predictions of Tg in a fast and robust way. The molecular traceless quadrupole moment and molecule average hexadecapole moment are closely correlated with polymers' Tg. In the current work, these two parameters are used as descriptors in the Gaussian process regression model to predict Tg. We investigate 60 samples with Tg values from 194 K to 440 K. The model provides rapid and low-cost Tg estimations with high accuracy and stability.

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“…So compared to the HTS DC induction heaters that can preheat larger aluminum billets, the simulation models have fewer finite element units, which will take less calculation time. The first commercial MW-class HTS DC induction heater for preheating large aluminum billets has been designed years ago and assembled in early 2019 [8]- [10]. And it has been designed to preheat the aluminum billets with diameters of 200 -446 mm and lengths of 800 -1760 mm.…”

Section: Introductionmentioning

confidence: 99%

Electromagnetic and Thermal Analysis of Cylindrical Aluminum Billet Heated by 1MW HTS DC Induction Heater

Yan

Dai

2020

IEEE Access

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In order to improve the efficiency of the conventional AC induction heater, an HTS DC induction heating technology has been proposed. A 1 MW HTS DC induction heater has been developed, and the efficiency of the HTS DC induction heater can be more than 80% due to the HTS DC magnet with no AC loss. The electromagnetic and thermal analysis of the HTS DC induction heater is necessary for further optimization of the 1 MW HTS DC induction heater. A 3D finite element simulation model for the coupling analysis of electromagnetic and thermal has been built based on the actual 1 MW HTS DC induction heater and optimized for accelerating the computing speed by using permanent magnet instead of the HTS magnet. The heating process of the cylindrical aluminum billet has also been simulated and compared with the experimental results. The results show that the simulation results can be in line with the experimental results. What is more, the optimized simulation model can be used to further optimize the device parameters for different workpiece temperature distributions, or design and evaluate the new HTS DC induction heater in the future. INDEX TERMS Induction heating, high temperature superconductor (HTS), aluminum, direct current (DC), electromagnetic and thermal analysis.

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Design and Fabrication of a 1-MW High-Temperature Superconductor DC Induction Heater

Cited by 33 publications

References 33 publications

Analysis of Peak Electromagnetic Torque Characteristics for Superconducting DC Induction Heaters

Analysis of Peak Electromagnetic Torque Characteristics for Superconducting DC Induction Heaters

Machine learning glass transition temperature of polymers

Electromagnetic and Thermal Analysis of Cylindrical Aluminum Billet Heated by 1MW HTS DC Induction Heater

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