Fast Prediction of Multiple Parameters Related to Iced Airfoil Based on POD and Kriging Methods

Jin, Niu; Sang, W.; Li, D.; Guo, Q.; Qiu, Aoxiang; Shi, M.

doi:10.47176/jafm.16.02.1379

Cited by 2 publications

(3 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Liu et al (2019) predicted the ice shapes on airfoils with the POD and Kriging method. Niu et al (2023) predicted the parameters related to iced airfoil based on POD and Kriging methods. The details of the POD and the kriging interpolation can refer to Pellissier et al (2012).…”

Section: Surrogated Modelmentioning

confidence: 99%

Boundary protection based on the anti-icing thermal load surrogated model and the WRF icing meteorological prediction

Niu,

Sang,

Guo

et al. 2023

AEAT

View full text Add to dashboard Cite

Purpose This paper aims to propose a method of the safety boundary protection for unmanned aerial vehicles (UAVs) in the icing conditions. Design/methodology/approach Forty icing conditions were sampled in the continuous maximum icing conditions in the Appendix C of the Federal Aviation Regulation Part 25. Icing numerical simulations were carried out for the 40 samples and the anti-icing thermal load distribution in full evaporation mode were obtained. Based on the obtained anti-icing thermal load distribution, the surrogated model of the anti-icing thermal load distribution was established with proper orthogonal decomposition and Kriging interpolation. The weather research and forecasting (WRF) model was used for meteorological simulations to obtain the icing meteorological conditions in the target area. With the obtained icing conditions and surrogated model, the anti-icing thermal load distribution in the target area and the variation with time can be determined. According to the energy supply of the UAVs, the graded safety boundaries can be obtained. Findings The surrogated model can predict the effects of five factors, such as temperature, velocity, pressure, median volume diameter (MVD) and liquid water content (LWC), on the anti-icing thermal load quickly and accurately. The simulated results of the WRF mode agree well with the observed results. The method can obtain the graded safety boundaries. Originality/value The method has a reference significant for the safety of the UAVs with the limited energy supply in the icing conditions.

show abstract

Section: Surrogated Modelmentioning

confidence: 99%

Boundary protection based on the anti-icing thermal load surrogated model and the WRF icing meteorological prediction

Niu,

Sang,

Guo

et al. 2023

AEAT

View full text Add to dashboard Cite

show abstract

Section: Flight Optimizationmentioning

confidence: 99%

“…According to several researchers, the weather research and forecasting (WRF) model is capable of accurately predicting meteorological conditions that lead to icing [83]. By combining the WRF model with proxy models [84], a safe envelope or graded safety zones icing in the target area can be generated. This offers crucial data support for optimizing UAV paths.…”

Section: Flight Optimizationmentioning

confidence: 99%

A Review of Icing Research and Development of Icing Mitigation Techniques for Fixed-Wing UAVs

Zhou,

Yi,

Liu

2023

Drones

View full text Add to dashboard Cite

With the continuous expansion of Unmanned Aerial Vehicle (UAV) applications, the threat of icing on UAV flights has garnered increased attention. Understanding the icing principles and developing anti-icing technologies for unmanned aircraft is a crucial step in mitigating the icing threat. However, existing research indicates that changes in Reynolds numbers have a significant impact on the physics of ice accretion. Icing studies on aircraft operating at high Reynolds numbers cannot be directly applied to unmanned aircraft, and mature anti-icing/deicing techniques for manned aircraft cannot be directly utilized for UAVs. This paper firstly provides a comprehensive overview of research on icing for fixed-wing UAVs, including various methods to study unmanned aircraft icing and the identified characteristics of icing on unmanned aircraft. Secondly, this paper focuses on discussing UAV anti-icing/deicing techniques, including those currently applied and under development, and examines the advantages and disadvantages of these techniques. Finally, the paper presents some recommendations regarding UAV icing research and the development of anti-icing/deicing techniques.

show abstract

Fast Prediction of Multiple Parameters Related to Iced Airfoil Based on POD and Kriging Methods

Cited by 2 publications

References 22 publications

Boundary protection based on the anti-icing thermal load surrogated model and the WRF icing meteorological prediction

Boundary protection based on the anti-icing thermal load surrogated model and the WRF icing meteorological prediction

A Review of Icing Research and Development of Icing Mitigation Techniques for Fixed-Wing UAVs

Contact Info

Product

Resources

About