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Computational Thermal Sciences: An International Journal

Publicado 6 números por año

ISSN Imprimir: 1940-2503

ISSN En Línea: 1940-2554

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: 1.5 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 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: 0.3 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: 0.00017 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: 0.28 SJR: 0.279 SNIP: 0.544 CiteScore™:: 2.5 H-Index: 22

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PERFORMANCE PREDICTION AND COMPARATIVE ANALYSIS FOR A DESIGNED, DEVELOPED, AND MODELED COUNTERFLOW HEAT EXCHANGER USING COMPUTATIONAL FLUID DYNAMICS

Volumen 11, Edición 5, 2019, pp. 423-443
DOI: 10.1615/ComputThermalScien.2019028520
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SINOPSIS

This paper presents a systematic approach for three-dimensional analysis of a counterflow heat exchanger, where hot water flows through a 12.7-mm-diameter tube and cold water flows through a 20-mm-diameter tube concurrently along the length of the heat exchanger. In particular, the flow and the temperature fields are resolved by using commercial computational fluid dynamics (CFD) software. The analysis and developments are made by working over a circular tube bank using different numerical methods and CFD simulations while considering turbulent models. Significant geometric optimization is made in the heat exchange between the circular tubes by limiting the cost since no polymers or additives are used and steering clear of flow separation, which has a greater impact on the flow phenomena. In order to analyze heat transfer characteristics, we carried out numerical analyses by altering the hot and cold fluid inlet temperatures. To simulate the flow, the renormalization group k-ε turbulence model was chosen. The simulated outcomes of the counterflow heat exchanger are compared with the existing literature to find the logarithmic mean temperature difference (LMTD). The following two factors were considered: (1) the effect of changing the temperature at one end and fixing it at the other end on the heat transfer and LMTD and (2) the effect of altering the mass flow rates at every step by fixing the temperature. There was a significant amount of change in the LMTD while increasing the hot fluid temperature (with an average of 31.41) rather than increasing the cold fluid temperature. However, by further decreasing the cold fluid inlet temperature the LMTD peaks at a value of 27.32. It was also observed that changing the cold fluid flow rate gives better insight into the heat transfer and LMTD with average of 28.94 and an average error of 8.455%, respectively.

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CITADO POR
  1. Parkash Om, FLOW CHARACTERIZATION OF MULTI-PHASE PARTICULATE SLURRY IN THERMAL POWER PLANTS USING COMPUTATIONAL FLUID DYNAMICS, Journal of Thermal Engineering, 2020. Crossref

  2. PARKASH Om, KUMAR Arvind, SİKARWAR Basant, ANALYTICAL AND COMPARATIVE INVESTIGATION OF PARTICULATE SIZE EFFECT ON SLURRY FLOW CHARACTERISTICS USING COMPUTATIONAL FLUID DYNAMICS, Journal of Thermal Engineering, 2020. Crossref

  3. Arora Ranjana, THERMODYNAMIC OPTIMIZATION OF AN IRREVERSIBLE REGENERATED BRAYTON HEAT ENGINE USING MODIFIED ECOLOGICAL CRITERIA, Journal of Thermal Engineering, 2020. Crossref

  4. PARKASH Om, KUMAR Arvind, SİKARWAR Basant, CFD MODELING OF SLURRY PIPELINE AT DIFFERENT PRANDTL NUMBERS, Journal of Thermal Engineering, 2021. Crossref

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