Verification System for Helicopter High-temperature Environment Adaptability-Thoughts on Construction of Digital Design

SHEN Jun; FANG Xianjie; HAN Shichuang

doi:10.7643/issn.1672-9242.2025.08.004

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Equipment Environmental Engineering ›› 2025, Vol. 22 ›› Issue (8) : 33-37. DOI: 10.7643/issn.1672-9242.2025.08.004

Special Topic—Application and Collaborative Evaluation Technology of Light Weapons in Complex Environments

Verification System for Helicopter High-temperature Environment Adaptability-Thoughts on Construction of Digital Design

SHEN Jun, FANG Xianjie, HAN Shichuang

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Abstract

Aiming at the challenges of high-temperature environments faced by the expansion of the helicopter combat operational scope, as well as the problems existing in the assessment criteria for the high-temperature environmental adaptability of airborne products. Based on the actual measurement data of high-temperature environments in key compartments of helicopters, thermal conductivity tests are conducted on materials that mainly affect the compartment environment temperature to determine the accurate thermal conductivity coefficients of various materials. Digital technologies are adopted to visualize the airflow and temperature distribution in the cabin through modeling and simulation, comprehensively forming a temperature field model. The high-temperature environments of key helicopter compartments are simulated and a requirement system for high-temperature environments adaptability is established. The digital verification technology for airborne products in high-temperature environments is studied to improve helicopter design, shorten R&D time, reduce R&D costs, and enhance the helicopter^'s adaptability to high-temperature environments.

Key words

helicopter / high-temperature / digital verification / simulation / emulation / environment adaptability

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SHEN Jun, FANG Xianjie, HAN Shichuang. Verification System for Helicopter High-temperature Environment Adaptability-Thoughts on Construction of Digital Design[J]. Equipment Environmental Engineering. 2025, 22(8): 33-37 https://doi.org/10.7643/issn.1672-9242.2025.08.004

References

[1] MOONEN P, ALLEGRINI J.Employing Statistical model Emulationasa Surrogate for CFD[J]. EnvironmentalModelling&Software, 2015, 72: 77-79.
[2] PAUN L M, COLEBANK M J, TAYLOR-LAPOLE A, et al.SECRET: Statistical Emulation for Computational Reverse Engineering and Translation with Applications in Healthcare[J]. Computer Methods in Applied Mechanics and Engineering, 2024, 430: 117193.
[3] SLEPIAN M J, CHIU P, SHERIFF J, et al.Device Thrombogenicity Emulation: A Novel Methodology to Predict “HotSpot” Sites of Thrombus Formationin Continuous Flow VADs[J]. The Journal of Heart and Lung Transplantation, 2013, 32(4): 180.
[4] MIGUEL C, ASHUTOSH M.Aeroelastic Force Predictionvia Temporal Fusion Transformers[J]. Computer-Aided Cilil and Infrastructure Engineering, 2024, 40(15): 2098-2129.
[5] MORGANTE G, TERENZI L.The Thermal Architecture of the Esaarile Payloadattheend of Phase B1[J]. ExperimentalAstronomy, 2022, 53: 905-944.
[6] KWAK D, KIRIS C.CFD for Incompressible Flows at NASA Ames[J]. Computers & Fluids, 2009, 38(3): 504-510.
[7] PATIL A, NAVRATIL J.CFD Analysis of Wing-Prpoelle rInteractionon the NASAX-57 Maxwell Aircraft Wing[J]. Journal of Physics, 2024, 73: 2716.
[8] ROSU I, ELIAS-BIREMBAUX H, LEBON F.Finite Element Modeling of an Aircraft Tire Rolling on a Steel Drum: Experimental Investigations and Numerical Simulations[J]. Applied Sciences, 2018, 8(4): 593.
[9] HU X, LIU Y.Thermal Assessment of Aircraft Fixed Leading Edge Compartment with Simulink and CFD Simulation[J]. EarthandEnvironmentalScience, 2021, 769: 042060.
[10] 夏新林, 戴贵龙, 李富德. 超高空低速飞行器的热环境特性[J]. 哈尔滨工业大学学报, 2009, 41(7): 60-63.
XIA X L, DAI G L, LI F D.Thermal Environmetl Characteristics of Ultra-High-Altitude Low-Speed Aircraft[J]. Journal of Harbin Institute of Technology, 2009, 41(7): 60-63.
[11] 王杏涛, 张靖周, 单勇. 飞行器8~14 μm波段红外特征的数值研究[J]. 红外与激光工程, 2014, 43(1): 6-12.
WANG X T, ZHANG J Z, SHAN Y.Numerical Investigation of Aircraft Infrared Characteristics in 8-14 Μm Band[J]. Infrared and Laser Engineering, 2014, 43(1): 6-12.
[12] LIU B L, WANG Y N, LI C Q, et al.Research on the Thermal Shock Simulation of the Super High Speed Aircraft[J]. Mechanics of Advanced Materials and Structures, 2023, 30(9): 1889-1896.
[13] SURENDRAN A, DAIGAVANE P, SHRIVASTAV S, et al.The Future of Orthodontics: Deep Learning Technologies[J]. Cureus, 2024, 16(6): e62045.
[14] CAO L B.Deep Learning Applications[J]. IEEE Intelligent Systems, 37(3): 3-5.
[15] DONG S, WANG P, ABBAS K.A Survey on Deep Learning and Its Applications[J]. Computer Science Review, 2021, 40: 100379.
[16] BLACK J E, KUEPER J K, WILLIAMSON T S.An Introduction to Machine Learning for Classification and Prediction[J]. Family Practice, 2023, 40(1): 200-204.
[17] LE ROUX N, BENGIO Y.Representational Power of Restricted Boltzmann Machines and Deep Belief Networks[J]. Neural Computation, 2008, 20(6): 1631-1649.
[18] SMIRNOV N N.Supercomputing and Artificial Intelligence for Ensuring Safety of Space Flights[J]. Acta Astronautica, 2020, 176: 576-579.
[19] HASSAN K, THAKUR A K, SINGH G, et al.Application of Artificial Intelligence in Aerospace Engineering and Its Future Directions: A Systematic Quantitative Literature Review[J]. Archives of Computational Methods in Engineering, 2024, 31(7): 4031-4086.
[20] MOHAMMED S, CHANG R S, RAMOS C, et al.From the Editors of the Special Issue on Current Applications and Innovations of Artificial Intelligence and Machine Learning in Aerospace[J]. IEEE Aerospace and Electronic Systems Magazine, 2022, 37(6): 4-5.
[21] BRUNTON S L, NATHAN KUTZ J, MANOHAR K, et al.Data-Driven Aerospace Engineering: Reframing the Industry with Machine Learning[J]. AIAA Journal, 2021, 59: 1-26.
[22] VERESNIKOV G S, BAZHENOV S G, BASHKIROV I G, et al.Machine Learning-Based Synthesis of Diagnostic Algorithms for Electromechanical Actuators to Improve the Aerospace Flight Safety[J]. Acta Astronautica, 2025, 226: 239-247.
[23] NOMAN H, SUN G R.Applications of Deep Learning to Selected Aerospace Systems[J]. Aerospace Systems, 2024, 7(2): 419-433.
[24] TAN M H, SHEN H, XI K, et al.Trajectory Prediction of Flying Vehicles Based on Deep Learning Methods[J]. Applied Intelligence, 2023, 53(11): 13621-13642.
[25] TAN W Z, CHEN Z, LI Z Z, et al.Thermal-Fluid-Solid Coupling Simulation and Oil Groove Structure Optimization of Wet Friction Clutch for High-Speed Helicopter[J]. Machines, 2023, 11(2): 296.
[26] DUAN Z D, SUN H R, WU C Y, et al.Flow-Network Based Dynamic Modelling and Simulation of the Temperature Control System for Commercial Aircraft with Multiple Temperature Zones[J]. Energy, 2022, 238: 121874.
[27] SHI Z Z, DONG M H, LIU Q, et al.Simulation and Experimental Study of the Characteristic Parameters of an Aircraft Cabin Temperature Control Valve[J]. Applied Sciences, 2022, 12(21): 11061.
[28] CHEN Z L, CAI W T, CAI L C, et al.Simulation and Experimental Analysis of the Temperature Field of Jet Flow of Aircraft Based on CFD Theory[J]. IEEE Access, 2020, 8: 55881-55892.
[29] TSIRKAS S A.Numerical Simulation of the Laser Welding Process for the Prediction of Temperature Distribution on Welded Aluminium Aircraft Components[J]. Optics & Laser Technology, 2018, 100: 45-56.
[30] JENNIONS I, ALI F, MIGUEZ M E, et al.Simulation of an Aircraft Environmental Control System[J]. Applied Thermal Engineering, 2020, 172: 114925.
[31] 王成章, 钟勇, 张薇, 等. 航空装备环境适应性试验鉴定工作展望[J]. 装备环境工程, 2023, 20(5): 6-11.
WANG C Z, ZHONG Y, ZHANG W, et al.Prospect of Environmental Adaptability Test and Appraisal of Aviation Equipment[J]. Equipment Environmental Engineering, 2023, 20(5): 6-11.
[32] LI X D, YU H, SUN Y C, et al.Research on the Index System for Evaluating the Ergonomics Design of Helicopter Cockpits[C]// Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Cham: Springer International Publishing, 2022.
[33] AKIN A, KAHVECI H S.An Optimization Study for Rotorcraft Avionics Bay Cooling[J]. Aerospace Science and Technology, 2019, 90: 1-11.
[34] CONG J Q, JING J P, DAI Z Z, et al.Influence of Circumferential Grooves on the Aerodynamic and Aeroelastic Stabilities of a Transonic Fan[J]. Aerospace Science and Technology, 2021, 117: 106945.
[35] YANG S L, FENG Y K, LI J C, et al.Research on Ship Engine Room Layout Design Method Based on Many-Objective Optimization[J]. Journal of Marine Science and Technology, 2025, 25: 01063.
[36] ZHAO M, PANG L P, LIU M, et al.Control Strategy for Helicopter Thermal Management System Based on Liquid Cooling and Vapor Compression Refrigeration[J]. Energies, 2020, 13(9): 2177.