Special Issue "Heat Transfer in Engineering"

A special issue of Symmetry (ISSN 2073-8994).

Deadline for manuscript submissions: 30 November 2020.

Special Issue Editors

Prof. Moo-Yeon Lee
Website
Guest Editor
Department of Mechanical Engineering, Dong-A University, 37 Nakdong-Daero 550beon-gil saha-gu, Busan, Republic of Korea
Interests: heat transfer, green car, thermal management system
Dr. Jae-Hyeong Seo

Guest Editor
Department of Mechanical Engineering, Dong-A University, 37 Nakdong-Daero 550beon-gil saha-gu, Busan, Republic of Korea
Interests: Heat transfer enhancement using ferrofluid; Cooling control technology of Core power electronics for electric vehicle; Battery thermal management system for electric vehicle; Theoretical analysis; CFD analysis

Special Issue Information

Dear Colleagues,

This is a call for papers of a Special Issue on “Heat Transfer in Engineering”. The advancements in research related to heat transfer has gathered much attention in recent decades following the quest for efficient thermal systems, interdisciplinary studies involving heat transfer, and energy research. Heat transfer, a fundamental transport phenomenon, has been considered one of the critical aspects for the development and advancement of many modern applications, including cooling, thermal systems which contain symmetry analysis, energy conservation and storage, and symmetry-preserving discretization of heat transfer in a complex turbulent flow. The objective of the Special Issue is to present recent advances as well as up-to-date progress in all areas of heat transfer in engineering and its influence on emerging technologies.

The broad topics of interest include, but not limited to, the following:

  • Heat transfer and thermal phenomena at all scales (from nanoscale to macroscale)
  • Thermal systems and thermal management systems
  • Interdisciplinary study focusing on heat transfer
  • Waste heat recovery and allied heat transfer applications
  • Heat transfer in energy storage and energy conservation
  • Experimental, numerical and analytical studies focusing on heat transfer and thermal phenomena
  • Fundamental mechanism and practical applications of heat transfer in wide variety of processes
Prof. Moo-Yeon Lee
Dr. Jae-Hyeong Seo
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Symmetry is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • heat transfer
  • thermal system
  • thermal phenomena
  • heat transfer applications
  • thermal management
  • cooling
  • thermal transport
  • heating
  • waste heat recovery
  • energy conversion

Published Papers (2 papers)

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Research

Open AccessArticle
Artificial Neural Network and Adaptive Neuro-Fuzzy Interface System Modelling to Predict Thermal Performances of Thermoelectric Generator for Waste Heat Recovery
Symmetry 2020, 12(2), 259; https://doi.org/10.3390/sym12020259 - 08 Feb 2020
Abstract
The present study elaborates the suitability of the artificial neural network (ANN) and adaptive neuro-fuzzy interface system (ANFIS) to predict the thermal performances of the thermoelectric generator system for waste heat recovery. Six ANN models and seven ANFIS models are formulated by considering [...] Read more.
The present study elaborates the suitability of the artificial neural network (ANN) and adaptive neuro-fuzzy interface system (ANFIS) to predict the thermal performances of the thermoelectric generator system for waste heat recovery. Six ANN models and seven ANFIS models are formulated by considering hot gas temperatures and voltage load conditions as the inputs to predict current, power, and thermal efficiency of the thermoelectric generator system for waste heat recovery. The ANN model with the back-propagation algorithm, the Levenberg–Marquardt variant, Tan-Sigmoidal transfer function and 25 number of hidden neurons is found to be an optimum model to accurately predict current, power and thermal efficiency. For current, power and thermal efficiency, the ANFIS model with pi-5 or gauss-5-membership function is recommended as the optimum model when the prediction accuracy is important while the ANFIS model with gbell-3-membership function is suggested as the optimum model when the prediction cost plays a crucial role along with the prediction accuracy. The proposed optimal ANN and ANFIS models present higher prediction accuracy than the coupled numerical approach. Full article
(This article belongs to the Special Issue Heat Transfer in Engineering)
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Open AccessArticle
Thermal Abuse Behavior of the LIR2450 Micro Coin Cell Battery Having Capacity of 120 mAh with Internal Short Circuit by Penetrating Element
Symmetry 2020, 12(2), 246; https://doi.org/10.3390/sym12020246 - 05 Feb 2020
Abstract
Internal short circuit in lithium-ion battery by penetrating element leads to exothermic behavior due to accumulated heat. In the present study, investigations are conducted on the thermal behavior of the LIR2450 micro coin cell haivng capacity of 120 mAh, with internal short circuit [...] Read more.
Internal short circuit in lithium-ion battery by penetrating element leads to exothermic behavior due to accumulated heat. In the present study, investigations are conducted on the thermal behavior of the LIR2450 micro coin cell haivng capacity of 120 mAh, with internal short circuit by penetrating element. The experimental coin cell discharge study was conducted and validated with numerical study within ±5.0%. The effect of penetrating element size, location of penetrating element, state of charge, discharge rate, short-circuit resistance, and heat transfer co-efficient on maximum coin cell temperature and heat generation rate are analyzed. The penetrating element diameters of 0.5, 1.0, 1.5, 2.0, 2.5, 3.0, and 3.5 mm are considered. The effect of initial state of charge (SOC) is considered with 100%, 80%, 60%, and 40%. Three locations for penetrating element are considered with the center, the middle of the radius, and on the edge of the coin cell radius. The different discharge rates of 1C, 2C, 3C, and 4C are considered. The higher-penetrating element size of 3.5 mm with location at the center of the coin cell with 100% SOC showed maximum heat generation rate and maximum temperature of the coin cell. In addition, the optimum value of the dimensionless heat generation rate is obtained at dimensionless short-circuit resistance. The study provides comprehensive insights on the thermal behavior of the lithium-ion cell during thermal abuse condition with internal short circuit by penetrating element. Full article
(This article belongs to the Special Issue Heat Transfer in Engineering)
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Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: Artificial Neural Network and Adaptive Neuro-Fuzzy Interface System Modelling to Predict Thermal Performances of Thermoelectric Generator for Waste Heat Recovery
Authors: Kunal Sandip Garud 1, Jae-Hyeong Seo 1, Chong-Pyo Cho 2 and Moo-Yeon Lee 1 *
Affiliation: 1School of Mechanical Engineering, Dong-A University, 37 Nakdong-Daero 550, Saha-gu, Busan, Republic of Korea 2Energy Saving Technologies Laboratory, Korea Institute of Energy Research,152 Gajeong-ro, Yuseong-gu, Daejeon 34129, Republic of Korea
Abstract: The present study elaborates the suitability of artificial neural network (ANN) and adaptive neuro-fuzzy interface system (ANFIS) to predict the thermal performances of thermoelectric generator system for waste heat recovery. Six ANN models and seven ANFIS models are formulated by considering hot gas temperatures and voltage load conditions as the inputs to predict current, power and thermal efficiency of thermoelectric generator system. The ANN model with back-propagation algorithm, Lavenberg Marquardt variant, Tan-Sigmoidal transfer function and 25 number of hidden neurons is found optimum model to accurately predict current, power and thermal efficiency. For current, power and thermal efficiency, the ANFIS model with pi-5 or gauss-5 membership function is recommended as optimum model when the prediction accuracy is important while the ANFIS model with gbell-3 membership function is suggested as optimum model when the prediction cost plays a crucial role along with prediction accuracy. The proposed optimal ANN and ANFIS models present higher prediction accuracy than the coupled numerical approach.

Title: Thermal Abuse Behavior of LIR2450 Micro Coin Cell Battery Having Capacity of 120mAh with Internal Short Circuit by Penetrating Element
Authors: Moo-Yeon Lee 1, Namwon Kim 2, Mahesh Suresh Patil 1,*
Affiliation: 1Department of Mechanical Engineering, Dong-A University, 37 Nakdong-Daero 550, Saha-gu, Busan, Republic of Korea 2Ingram School of Engineering, Texas State University, San Marcos, TX 78666, USA
Abstract: Internal short circuit in lithium-ion battery by penetrating element leads to exothermic behavior due to accumulated heat. In the present study, investigations are conducted on thermal behavior of LIR 2450 micro coin cell having the capacity of 120mAh with internal short circuit by penetrating element. The experimental coin cell discharge study was conducted and validated with numerical study within 6.8%. The effect of penetrating element size, location of penetrating element, state of charge, discharge rate and heat transfer co-efficient on maximum cell temperature, heat generation rate and response rate (dT/dt) are analyzed. The penetrating element radius of 0.5 mm, 1.0 mm, 1.5 mm, 2.0 mm, 2.5 mm, 3.0 mm and 3.5 mm are considered. The effect of initial state of charge (SOC) is considered with 100%, 75%, 50%, 25% and 0%. Three locations for penetrating element are considered with center, middle and on edge of coin cell radius. The different discharge rates of 1C, 2C, 3C, 4C and 5C are considered. The higher penetrating element size with location at center of coin cell with 100% SOC and 5C discharge rate showed maximum heat generation rate and maximum temperature of the coin cell. The study provides comprehensive insights on thermal behavior of lithium-ion cell during thermal abuse condition with internal short circuit by penetrating element.

Title: Thermal performance characteristics of cascade refrigeration system with R-404A/R-23
Authors: Chang-Hyo Son 1, Jung-In Yoon 1, Kwang-Hwan Choi 1, Joon-Hyuk Lee 1, *
Affiliation: 1 Department of Refrigeration and Air-conditioning engineering, Pukyong National University, 45 Yongso-ro, Nam-gu, Busan, Republic of Korea
Abstract: Low temperature freezing is used in various fields such as food storage, medical devices, semiconductor processing. The cascade refrigeration system is the most popular system which can stably reach the low temperature zone. In this study experimentally analyzed the thermal performance characteristics of the cascade refrigeration system under various conditions using R-404A/R-23 refrigerant, and analyzed the optimum operating conditions. The main results are summerized as follows. As the condensation temperature of the HTC (High Temperature Circuit) increased, the coefficient of performance of the HTC decreased and the coefficient of performance of the cold part cycle remained almost constant. As a result, overall COP tends to decrease, which is thought to be greatly affected by the HTC. As the condensation temperature of the LTC (Low temperature circuit) increased, the performance coefficient of the HTC did not change significantly, but the performance coefficient of the LTC tended to increase. As a result, overall COP tended to increase, indicating that it was greatly affected by the LTC. As the condensation temperature of the LTC increased, the performance coefficient of the HTC decreased and the performance coefficient of the LTC increased. As a result, the overall COP tends to decrease up to a certain LTC condensation temperature. Finally, the optimum operating conditions were conducted by experiment.

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