Structural parameters optimization of submerged inlet using least squares support vector machines and improved genetic algorithm-particle swarm optimization approach

Pei, Houju; Cui, Yonglong; Kong, Benben; Jiang, Yanlong; Shi, Hong

doi:10.1080/19942060.2021.1893226

Cited by 9 publications

(3 citation statements)

References 22 publications

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“…In his report, 15 ramp geometries were studied by numerical simulation to optimize the submerged inlet for maximum pressure recovery. In another case study, the parametric optimization of a submerged inlet was investigated by Houju 14 in 2021 to improve captured mass flow.…”

Section: Introductionmentioning

confidence: 99%

Aerodynamic efficiency analysis of the ridge integrated submerged inlet

B Saheby,

Shen,

Jowkar

2024

Proceedings of the Institution of Mechanical Engineers, Part G:

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In this study, a new ridge surface is proposed and its impact on the aerodynamic efficiency of a generic top-mounted submerged inlet is investigated at Mach 0.3 to 0.5. The concept is developed to investigate the possibility of vortex breakdown manipulation by the ridge surface to control the chaotic flow pattern after the breakdown, measuring the overall drag increment and total pressure recovery due to the ridge integration. For this purpose, a conceptual submerged inlet is designed with a semi-elliptic entrance for integration with a generic fuselage and ridge surfaces; then different study cases are modeled based on this configuration for numerical simulations by Ansys Fluent. Key factors such as the quality of the captured streamtube, vortex patterns on the fuselage, induced lift, and vortex breakdown patterns are investigated and compared by second order accuracy. Results indicate that the modified ridge surface improves the overall efficiency of the fuselage-inlet configuration both in the terms of lift over drag and pressure recovery.

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Section: Introductionmentioning

confidence: 99%

Aerodynamic efficiency analysis of the ridge integrated submerged inlet

B Saheby,

Shen,

Jowkar

2024

Proceedings of the Institution of Mechanical Engineers, Part G:

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“…ANN has been used extensively in handling nonlinearity problems like groundwater level forecasting 32 , estimation of suspended load in flood conditions 33 , prediction of sediment load 34 , prediction for water quality index 35 , irrigation groundwater quality prediction 36 , and many others 37 – 48 . Another nonlinear regression method that handles outliers and nullifies overfitting issues is the support vector machine (SVM) 49 , 50 . SVM modelling demonstrates superior performance than standard machine learning techniques in most situations.…”

Section: Introductionmentioning

confidence: 99%

Proportional impact prediction model of coating material on nitrate leaching of slow-release Urea Super Granules (USG) using machine learning and RSM technique

Swain,

Khura,

Sahoo

et al. 2024

Sci Rep

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An accurate assessment of nitrate leaching is important for efficient fertiliser utilisation and groundwater pollution reduction. However, past studies could not efficiently model nitrate leaching due to utilisation of conventional algorithms. To address the issue, the current research employed advanced machine learning algorithms, viz., Support Vector Machine, Artificial Neural Network, Random Forest, M5 Tree (M5P), Reduced Error Pruning Tree (REPTree) and Response Surface Methodology (RSM) to predict and optimize nitrate leaching. In this study, Urea Super Granules (USG) with three different coatings were used for the experiment in the soil columns, containing 1 kg soil with fertiliser placed in between. Statistical parameters, namely correlation coefficient, Mean Absolute Error, Willmott index, Root Mean Square Error and Nash–Sutcliffe efficiency were used to evaluate the performance of the ML techniques. In addition, a comparison was made in the test set among the machine learning models in which, RSM outperformed the rest of the models irrespective of coating type. Neem oil/ Acacia oil(ml): clay/sulfer (g): age (days) for minimum nitrate leaching was found to be 2.61: 1.67: 2.4 for coating of USG with bentonite clay and neem oil without heating, 2.18: 2: 1 for bentonite clay and neem oil with heating and 1.69: 1.64: 2.18 for coating USG with sulfer and acacia oil. The research would provide guidelines to researchers and policymakers to select the appropriate tool for precise prediction of nitrate leaching, which would optimise the yield and the benefit–cost ratio.

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“…Therefore, how to improve aerodynamic performance of submerged inlets has become a key issue. Many scholars have conducted series of research on it, including the optimization of the design of the inlet shape [5][6][7][8][9], the application of active flow control methods such as jet [10][11][12][13][14][15][16], and the exploration of passive flow control methods such as setting synergistic components near the inlet [17][18][19][20][21][22][23][24][25][26][27].…”

Section: Introductionmentioning

confidence: 99%

Prepositive Synergistic Bulge Design for Improving Aerodynamic Performance of Submerged Inlet

Bai

2023

Aerospace

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A submerged inlet has good stealth characteristics and a low external drag, but it also has the disadvantage of low internal flow efficiency. In view of this, a new efficiency enhancement method based on the prepositive synergistic bulge of the inlet’s anterior lip is proposed. Taking the submerged inlet of an aircraft as the baseline configuration, a miniature bulge with a square bottom and an outer convex form is designed in front of the inlet’s anterior lip. Through the convex shape of the bulge, part of the low-energy boundary layer airflow is diverted away from the inlet’s entrance, so that the airflow greatly reduces the flow separation after entering the inlet, and the internal flow performance of the entire submerged inlet is improved. Taking the flow field of an aircraft in the classic cruise state as an example, the simulation analysis results show that the flow field characteristics of the entire submerged inlet are obviously improved after adding the synergistic bulge. The total pressure recovery coefficient of the new inlet configuration increased by 1.36%, the total pressure distortion index decreased by 10.86%, and the body drag only increased by 0.37% compared with the baseline case. According to calculations of synergistic bulge inlet configurations with different design parameters, the effect of this configuration is relatively stable, whereby the aspect ratio of the bulge has the greatest impact on the performance, and its value should not be less than 0.75. In addition to the advantages of not requiring additional components or occupying space and being easy to manufacture, the method of adding a synergistic bulge can improve the aerodynamic performance of the baseline inlet under most cruise flight conditions, and its additional drag is small, which gives it a wide applicability range.

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Structural parameters optimization of submerged inlet using least squares support vector machines and improved genetic algorithm-particle swarm optimization approach

Abstract: Structural parameters optimization of submerged inlet using least squares support vector machines and improved genetic algorithm-particle swarm optimization approach, Engineering Applications of

Cited by 9 publications

References 22 publications

Aerodynamic efficiency analysis of the ridge integrated submerged inlet

Aerodynamic efficiency analysis of the ridge integrated submerged inlet

Proportional impact prediction model of coating material on nitrate leaching of slow-release Urea Super Granules (USG) using machine learning and RSM technique

Prepositive Synergistic Bulge Design for Improving Aerodynamic Performance of Submerged Inlet

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