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Heat Transfer Research

年間 18 号発行

ISSN 印刷: 1064-2285

ISSN オンライン: 2162-6561

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.7 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 1.4 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 0.6 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00072 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.43 SJR: 0.318 SNIP: 0.568 CiteScore™:: 3.5 H-Index: 28

Indexed in

PERFORMANCE ANALYSIS OF DOUBLE-LAYER MICROCHANNEL HEAT SINK WITH VARIOUS MICROCHANNEL SHAPES

巻 49, 発行 4, 2018, pp. 349-368
DOI: 10.1615/HeatTransRes.2018018534
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要約

The thermal hydraulic performance of a double-layer microchannel heat sink was analyzed with a variety of channel shapes using three-dimensional Navier–Stokes equations in a range of Reynolds numbers from 160 to 850. Parallel and counterflow arrangements of double-layer microchannels and seven cross-sectional shapes of microchannels (boot, diamond, hexagonal, pentagonal, rectangular, rectangular wedge, and triangular) were tested in this work. The temperature, Nusselt number, thermal resistance, and pumping power were obtained for each channel shape and arrangement using conjugate heat transfer analysis. Among the tested microchannel shapes, the rectangular wedge shape showed the best thermal performance with the lowest thermal resistance and also with the greatest pumping power. The counterflow arrangement showed better thermal performance with a similar pumping power than the parallel flow arrangement for all the channel shapes.

によって引用された
  1. Deng Daxiang, Pi Guang, Zhang Weixun, Wang Peng, Fu Ting, Numerical Study of Double-Layered Microchannel Heat Sinks with Different Cross-Sectional Shapes, Entropy, 21, 1, 2018. Crossref

  2. Xu Yupeng, Gong Liang, Li Yongtong, Bai Zhang, Xu Minghai, Thermal Performance and Mechanics Characteristic for Double Layer Microchannel Heat Sink, Journal of Thermal Science, 28, 2, 2019. Crossref

  3. Gong Liang, Xu Yu-Peng, Ding Bin, Zhang Zhi-Hao, Huang Zhao-Qin, Thermal management and structural parameters optimization of MCM-BGA 3D package model, International Journal of Thermal Sciences, 147, 2020. Crossref

  4. Shen Han, Xie Gongnan, Wang Chi-Chuan, Thermal performance and entropy generation of novel X-structured double layered microchannel heat sinks, Journal of the Taiwan Institute of Chemical Engineers, 111, 2020. Crossref

  5. Liu Yang, Huang Yicang, Xu Mingliang, Zhang Shanshan, Liu Pengfei, Numerical study on novel double-layered heat sink with optimized pin fins, 2019 20th International Conference on Electronic Packaging Technology(ICEPT), 2019. Crossref

  6. Huang Yicang, Xu Mingliang, Li Hui, Shen Shengnan, Ma Shiyue, A Novel Double-layered Heat Sink for High Power Electronics, 2018 IEEE 20th Electronics Packaging Technology Conference (EPTC), 2018. Crossref

  7. Zhang Yong-Dong, Chen Miao-Ru, Wu Jung-Hsien, Hung Kuo-Shu, Wang Chi-Chuan, Performance Improvement of a Double-Layer Microchannel Heat Sink via Novel Fin Geometry—A Numerical Study, Energies, 14, 12, 2021. Crossref

  8. Dash Binayak, Nanda Jajneswar, Rout Sachindra Kumar, The role of microchannel geometry selection on heat transfer enhancement in heat sinks: A review, Heat Transfer, 51, 2, 2022. Crossref

  9. Shen Han, Xie Gongnan, Wang Chi-Chuan, Liu Huanling, Experimental and numerical examinations of thermofluids characteristics of double-layer microchannel heat sinks with deflectors, International Journal of Heat and Mass Transfer, 182, 2022. Crossref

  10. Miyazawa Risa, Hisada Takashi, Bergendah Marc, Jain Aakrati, Sikka Kamal, Thermal modeling of Direct Bonded Heterogenous Integration (DBHi) MCM package with Si microcooler, 2022 21st IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (iTherm), 2022. Crossref

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