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    Semi-Analytical Method for Conceptual Design and Optimization of Scramjet Combustor Using Thermally Perfect Gas Model

    Source: Journal of Thermal Science and Engineering Applications:;2026:;volume( 018 ):;issue:003
    Author:
    Shome, Biswadip
    DOI: 10.1115/1.4070222
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Abstract. A semi-analytical method is proposed to predict Mach number, static pressure, and temperature in a scramjet combustor for a calorically imperfect but thermally perfect gas. The method accounts for the simultaneous presence of variable area, friction, and heat addition. The results of the semi-analytical method were compared against the computational fluid dynamics (CFD) prediction for a hydrogen-fueled scramjet combustor operating at an inlet Mach number of 2, 4, and 6 for an equivalence ratio of 0.30. The comparison showed that the prediction from the semi-analytical method was within 3.1% of the CFD prediction for Mach number, pressure, and temperature. The results demonstrate that a thermally perfect gas model is required for accuracy at higher Mach numbers, as neglect of it can lead to an error of 14% in the Mach number and as much as 21% in the temperature predictions for an inlet Mach number of 6. The utility of the semi-analytical method was demonstrated by its application in optimizing the combustor exit height, resulting in a close to zero static pressure loss in the combustor. The semi-analytical method-driven optimization method is highly desirable during the preliminary stages of design as it enables rapid assessment and optimization of multiple design concepts as compared to the efforts required by a CFD simulation and/or physical tests.
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      Semi-Analytical Method for Conceptual Design and Optimization of Scramjet Combustor Using Thermally Perfect Gas Model

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4315282
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    contributor authorShome, Biswadip
    date accessioned2026-08-23T07:33:57Z
    date available2026-08-23T07:33:57Z
    date copyright2026/03/01
    date issued2026
    identifier issn1948-5085
    identifier othertsea-25-1435.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4315282
    description abstractAbstract. A semi-analytical method is proposed to predict Mach number, static pressure, and temperature in a scramjet combustor for a calorically imperfect but thermally perfect gas. The method accounts for the simultaneous presence of variable area, friction, and heat addition. The results of the semi-analytical method were compared against the computational fluid dynamics (CFD) prediction for a hydrogen-fueled scramjet combustor operating at an inlet Mach number of 2, 4, and 6 for an equivalence ratio of 0.30. The comparison showed that the prediction from the semi-analytical method was within 3.1% of the CFD prediction for Mach number, pressure, and temperature. The results demonstrate that a thermally perfect gas model is required for accuracy at higher Mach numbers, as neglect of it can lead to an error of 14% in the Mach number and as much as 21% in the temperature predictions for an inlet Mach number of 6. The utility of the semi-analytical method was demonstrated by its application in optimizing the combustor exit height, resulting in a close to zero static pressure loss in the combustor. The semi-analytical method-driven optimization method is highly desirable during the preliminary stages of design as it enables rapid assessment and optimization of multiple design concepts as compared to the efforts required by a CFD simulation and/or physical tests.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleSemi-Analytical Method for Conceptual Design and Optimization of Scramjet Combustor Using Thermally Perfect Gas Model
    typeJournal Paper
    journal volume18
    journal issue3
    journal titleJournal of Thermal Science and Engineering Applications
    identifier doi10.1115/1.4070222
    treeJournal of Thermal Science and Engineering Applications:;2026:;volume( 018 ):;issue:003
    contenttypeFulltext
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