A Novel Coil Distribution for Transverse Flux Induction Heating

Sun, Yanchao; Wang, Youhua; Yang, Xiaoguang; Pang, Lingling

doi:10.1016/j.phpro.2013.11.007

Cited by 10 publications

(5 citation statements)

References 9 publications

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“…Furthermore, the size of the coil plays the most important role to determine the temperature distribution of the strip as it can affect the eddy current distribution on the strip. According to our work, the hexagonal coil has the ideal coil structure for the TFIH system [21]. In this paper, the length of the coil along the width of the strip has been taken into the consideration, and the parameter of l is shown in Figure 3.…”

Section: Transverse Flux Induction Heating Optimization Based On Vcpsmentioning

confidence: 99%

Velocity-Controlled Particle Swarm Optimization (PSO) and Its Application to the Optimization of Transverse Flux Induction Heating Apparatus

Wang

Yin

et al. 2019

Energies

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The main disadvantage of transverse flux induction heating (TFIH) is its resulting non-uniform temperature distribution on the surface of the strip at the inductor outlet. For obtaining a uniform temperature distribution, an improved particle swarm optimization (PSO) named velocity-controlled PSO (VCPSO) is proposed and applied to optimize this problem. Support vector machine (SVM) is adopted to establish a regression model to replace the complex and time-consuming coupling calculation process involved in TFIH problem. Simulation results of several test functions show that VCPSO performs much better than standard PSO (SPSO). Moreover, based on the existing research and experiments, the application of VCPSO combined with SVM to the TFIH problem achieves satisfactory results.

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Section: Transverse Flux Induction Heating Optimization Based On Vcpsmentioning

confidence: 99%

Velocity-Controlled Particle Swarm Optimization (PSO) and Its Application to the Optimization of Transverse Flux Induction Heating Apparatus

Wang

Yin

et al. 2019

Energies

Self Cite

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“…Some researchers have attempted to improve temperature uniformity by modifying coil designs. [22][23][24] Additionally, Ahmed et al 25 used a magnetic concentrator to improve temperature uniformity by reducing the proximity effect between adjacent coils.…”

Section: Introductionmentioning

confidence: 99%

“…Poor microstructure replication frequently occurs when the temperature distribution is uneven because of local overheating. Some researchers have attempted to improve temperature uniformity by modifying coil designs 22–24 . Additionally, Ahmed et al 25 used a magnetic concentrator to improve temperature uniformity by reducing the proximity effect between adjacent coils.…”

Section: Introductionmentioning

confidence: 99%

Replication of large‐area microstructures by combining movable induction heating and roller hot embossing

Hung,

Chiu,

et al. 2024

Polymer Engineering & Sci

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Hot embossing is a low‐cost and flexible method for fabricating microstructures and nanostructures on polymers. However, the conventional hot embossing process poses two challenges: First, the plates that are used do not provide uniform pressure, and the size of the chamber limits the imprinting area. Second, heating with thick metal plates significantly lengthens cycle time. Finally, the uniformity of temperature also affects the embossing results. To achieve a high heating rate and uniform pressure over a large area, this study combined an induction heating system and roll‐to‐plate hot embossing. A movable plate was used to move the mold through the induction coil, increasing the heating area and overcoming limitations related to the embossing area posed by the coil length. The imprinting area reached 100 × 100 mm2. In addition, the temperature difference was less than 20°C at each molding temperature range from 150°C to 190°C. The mold and the substrate were placed on a vacuum absorber to prevent deformation and slippage of the mold and provide preloading and packing pressure. Cooling fans were employed to improve cooling efficiency. Experimental replication yielded replication rates higher than 97% at 190°C and 5 kgf/cm2 with a cycle time of approximately 2 minutes. To verify the feasibility of the process, V‐groove microstructures were successfully fabricated using a movable induction heating roller embossing facility.Highlights The feasibility of the moving induction heating roller embossing process. A vacuum movable platform prevents deformation and slippage of the substrate. Improve the temperature uniformity of the movable platform.

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“…There are two basic induction heating methods: one is the longitudinal flux induction heating (LFIH) method and the other is the transverse flux induction heating (TFIH) method [4,5]. The magnetic induction lines are parallel to the workpiece in the LFIH, and thus it is only suitable for heating the workpiece with a large cross-sectional area, e.g., pipes and bars.…”

Section: Introductionmentioning

confidence: 99%

Study on the Uniformity of Temperature Distribution of Transverse Flux Induction Heating Based on a New Magnetic Pole

et al. 2022

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A new magnetic pole is designed and proposed for the transverse flux induction heating (TFIH) device, since the TFIH device with the original magnetic pole has the deficiencies of uneven temperature distribution on the strip surface at the outlet of the heater and large magnetic resistance of the alternating magnetic field through the magnetic circuit. Using the magnetic–thermal coupling calculation method proposed in this paper, the eddy current field and temperature field of the TFIH device with the original and new magnetic poles are calculated and analyzed under the same excitation. At the same time, the temperature distribution on the strip surface of the TFIH device with the new magnetic pole is calculated under different excitation parameters, and the magnitude and frequency are obtained when the uniformity of the temperature distribution is best.

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A Novel Coil Distribution for Transverse Flux Induction Heating

Cited by 10 publications

References 9 publications

Velocity-Controlled Particle Swarm Optimization (PSO) and Its Application to the Optimization of Transverse Flux Induction Heating Apparatus

Velocity-Controlled Particle Swarm Optimization (PSO) and Its Application to the Optimization of Transverse Flux Induction Heating Apparatus

Replication of large‐area microstructures by combining movable induction heating and roller hot embossing

Study on the Uniformity of Temperature Distribution of Transverse Flux Induction Heating Based on a New Magnetic Pole

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