Electrothermal Circuit Design With Heat Flow Control—Synchronous Buck Converter Case Study

Dede, Ercan M.; Wang, Chiming; Liu, Yanghe; Schmalenberg, Paul; Zhou, Feng; Shin, Jae Wook; Ishigaki, Masanori

doi:10.1109/tcpmt.2017.2773266

Cited by 9 publications

(13 citation statements)

References 21 publications

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“…Fig. 14 Input current waveforms for baseline and modified synchronous buck converter PCB designs at 1 A and 16 A output current levels. Reduced input current ripple for the modified design is an artifact of a distributed element low pass filter effect due to the electrothermal traces [40]. Note: waveforms are plotted using 5 ls x-axis divisions.…”

Section: Discussionmentioning

confidence: 99%

“…Electrothermal Circuit Design. Distinct from the prior two application studies, the electrothermal co-design of a functional buck converter circuit with an optimized thermal-composite PCB for enhanced heat flow control [40] is briefly summarized in this section.…”

Section: Heat Flow Control In Multilayer Printed Circuit Boardmentioning

confidence: 99%

“…The electrical and thermal performance of a baseline PCB and the modified PCB (each 65 mm Â 65 mm in footprint area size) were experimentally evaluated both under free convection and with active cooling. In free convection, the PCBs were simply mounted to nylon standoffs and tested in an open lab environment, while for the active cooling experiments the PCBs were in thermal communication with a thermoelectric cooler via aluminum standoffs [40]. IR temperature measurement results for the baseline and modified designs at 1, 4, and 20 A output current, I out , levels under natural convection are shown in Fig.…”

Section: Heat Flow Control In Multilayer Printed Circuit Boardmentioning

confidence: 99%

“…In this figure, a zoomed IR image of the central portion of each PCB is provided when the standoff temperatures are fixed to 10 C by way of the thermoelectric cooler. Table 1 provides a summary of the experimentally measured change in circuit efficiency, Dg, the average change in the maximum switch temperature, DT s avg , and the change in the inductor maximum temperature, DT i , for the modified PCB at various output current levels [40]. From a thermal performance perspective, the modified design provides a modest benefit at low output current levels, and these benefits only improve with active cooling.…”

Section: Heat Flow Control In Multilayer Printed Circuit Boardmentioning

confidence: 99%

“…Specifically, following Ref. [40], the electrothermal traces of the modified PCB act as a distributed element low pass filter that both increases the high frequency impedance and reduces the low frequency impedance with a shifted resonant frequency.…”

Section: Heat Flow Control In Multilayer Printed Circuit Boardmentioning

confidence: 99%

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Thermal Metamaterials for Heat Flow Control in Electronics

Dede¹,

Zhou²,

Schmalenberg³

et al. 2018

Journal of Electronic Packaging

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Rapid advancement of modern electronics has pushed the limits of traditional thermal management techniques. Novel approaches to the manipulation of the flow of heat in electronic systems have potential to open new design spaces. Here, the field of thermal metamaterials as it applies to electronics is briefly reviewed. Recent research and development of thermal metamaterial systems with anisotropic thermal conductivity for the manipulation of heat flow in ultra-thin composites is explained. An explanation of fundamental experimental studies on heat flow control using standard printed circuit board (PCB) technology follows. From this, basic building blocks for heat flux cloaking, focusing, and reversal are reviewed, and their extension to a variety of electronics applications is emphasized. While device temperature control, thermal energy harvesting, and electrothermal circuit design are the primary focus, some discussion on the extension of thermal guiding (TG) structures to device-scale applications is provided. In total, a holistic view is offered of the myriad of possible applications of thermal metamaterials to heat flow control in future electronics.

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Section: Discussionmentioning

confidence: 99%

Section: Heat Flow Control In Multilayer Printed Circuit Boardmentioning

confidence: 99%

Section: Heat Flow Control In Multilayer Printed Circuit Boardmentioning

confidence: 99%

Section: Heat Flow Control In Multilayer Printed Circuit Boardmentioning

confidence: 99%

Section: Heat Flow Control In Multilayer Printed Circuit Boardmentioning

confidence: 99%

See 3 more Smart Citations

Thermal Metamaterials for Heat Flow Control in Electronics

Dede¹,

Zhou²,

Schmalenberg³

et al. 2018

Journal of Electronic Packaging

Self Cite

View full text Add to dashboard Cite

show abstract

Topology optimization methods for thermal metamaterials: A review

Sha,

Xiao,

Wang

et al. 2024

International Journal of Heat and Mass Transfer

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Machine Learning Aided Design and Optimization of Thermal Metamaterials

Zhu,

Bamidele,

Shen

et al. 2024

Chem. Rev.

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Artificial Intelligence (AI) has advanced material research that were previously intractable, for example, the machine learning (ML) has been able to predict some unprecedented thermal properties. In this review, we first elucidate the methodologies underpinning discriminative and generative models, as well as the paradigm of optimization approaches. Then, we present a series of case studies showcasing the application of machine learning in thermal metamaterial design. Finally, we give a brief discussion on the challenges and opportunities in this fast developing field. In particular, this review provides: (1) Optimization of thermal metamaterials using optimization algorithms to achieve specific target properties. (2) Integration of discriminative models with optimization algorithms to enhance computational efficiency. (3) Generative models for the structural design and optimization of thermal metamaterials.

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Electrothermal Circuit Design With Heat Flow Control—Synchronous Buck Converter Case Study

Cited by 9 publications

References 21 publications

Thermal Metamaterials for Heat Flow Control in Electronics

Thermal Metamaterials for Heat Flow Control in Electronics

Topology optimization methods for thermal metamaterials: A review

Machine Learning Aided Design and Optimization of Thermal Metamaterials

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