Single- and multi-objective optimization of an aircraft hot-air anti-icing system based on Reduced Order Method

Yang, Qian; Guo, Xiaofeng; Zheng, Haoran; Wei, Dong

doi:10.1016/j.applthermaleng.2022.119543

Cited by 13 publications

(3 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This study considers the coupled heat transfer mechanisms encompassing the external flow field, internal flow field, and the structural characteristics of the chamber's skin. Traditional hot air anti-icing systems employ coupled calculation methods that can be classified as tight-coupling methods [20][21][22][23] and loose-coupling methods [24][25][26][27]. In this article, the tight-coupling method is adopted, which results in an integrated mesh encompassing both internal and external domains.…”

Section: Methodsmentioning

confidence: 99%

Study of Flow and Heat Transfer in an Ejector-Driven Swirl Anti-Icing Chamber

Tu,

Wu,

Zeng

2024

FDMP

View full text Add to dashboard Cite

The formation of ice on the leading edge of aircraft engines is a serious issue, as it can have catastrophic consequences. The Swirl Anti-Icing (SAI) system, driven by ejection, circulates hot fluid within a 360°annular chamber to heat the engine inlet lip surface and prevent icing. This study employs a validated Computational Fluid Dynamics (CFD) approach to study the impact of key geometric parameters of this system on flow and heat transfer characteristics within the anti-icing chamber. Additionally, the entropy generation rate and exergy efficiency are analyzed to assess the energy utilization in the system. The research findings indicate that, within the considered flow range, reducing the nozzle specific area φ from 0.03061 to 0.01083 can enhance the ejection coefficient by over 60.7%. This enhancement increases the air circulating rate, thereby intensifying convective heat transfer within the SAI chamber. However, the reduction in φ also leads to a significant increase in the required bleed air pressure and a higher entropy generation rate, indicating lower exergy efficiency. The nozzle angle θ notably affects the distribution of hot and cold spots on the lip surface of the SAI chamber. Increasing θ from 0°to 20°reduces the maximum temperature difference on the anti-icing chamber surface by 60 K.

show abstract

Section: Methodsmentioning

confidence: 99%

Study of Flow and Heat Transfer in an Ejector-Driven Swirl Anti-Icing Chamber

Tu,

Wu,

Zeng

2024

FDMP

View full text Add to dashboard Cite

show abstract

“…Based on the predicted purchase model and the above assumptions, a single objective optimization model is established with the goal of minimizing the increase in data A [38]. This model is constrained by a customer purchase probability greater than 0.5.…”

Section: Single Objective Linear Optimization Model Of the Sales Planmentioning

confidence: 99%

Research on the Purchase Intention of Electric Vehicles Based on Customer Evaluation and Personal Information

Chen,

Zhang,

Zhao

et al. 2023

WEVJ

View full text Add to dashboard Cite

With the continuous development of electric vehicle (EV) technology, there is an increasing need to analyze the factors influencing customers’ purchase intentions. According to the data of customers’ vehicle experience evaluation and personal information, this paper develops the analysis models of influencing factors using the analysis of variance algorithm (ANOVA) and Kruskal–Wallis algorithm. Then, the purchase intention model for EVs is proposed using the random forest method. Finally, the optimization model for the EV sales plan was built. The results show that the main factors influencing customers’ purchases are different for different vehicle brands. However, the customer’s evaluation of the vehicle experience has a greater influence on the customer’s purchase. Compared to other prediction models, the random forest model has the highest accuracy. For 3 EV brands, the prediction accuracies are 97.8%, 98.9%, and 97.6%. In addition, this paper predicts the purchase intentions of 15 customers. By optimizing the sales plans for 3 EV brands, the predicted purchase rate of 15 customers increased from 40% to 53%. The research work contributes to the sales of electric vehicles, the accurate positioning of customers, and the identification of more potential customers.

show abstract

“…An optimization methodology for aircraft hot-air anti-icing systems based on reduced order method (ROM) was developed. ROM based on proper orthogonal decomposition (POD) and radial basis function neural network (RBF) was constructed to evaluate objective and constraint functions of single-and multi-objective optimizations [9].…”

mentioning

confidence: 99%

A Study in Aircraft Heating System Trainer Model AS-43 for Aeronautical Engineering Students Practice

Pisal,

Nor Salim

2023

PAAT

View full text Add to dashboard Cite

The Model AS-43 heating system trainer is a fully operational model of a light aircraft heating system demonstrating the combustion air heater method. Heat transfer is related to the mechanism that happens in this process. This study aims to utilize the trainer Model AS-43 for practical experiments in aeronautical engineering education. The research objectives include developing standard operating procedures, determining system parameters, and proposing improvements. The significance of the study lies in enhancing the teaching scope for aeronautical engineering students and improving the aircraft heating system trainer Model AS-43. The obtained results and calculations serve as valuable data for aeronautical engineering education and can facilitate further analysis and improvements in the field. Recommendations are made to enhance the trainer's utilization, including incorporating appropriate measuring tools. Implementing these recommendations would maximize the trainer's educational potential, allowing it to be utilized as an effective teaching tool for mechanical and aeronautical engineering courses. The proposed changes could improve students' comprehension, promoting better learning outcomes and advancing aviation education.

show abstract

Single- and multi-objective optimization of an aircraft hot-air anti-icing system based on Reduced Order Method

Cited by 13 publications

References 29 publications

Study of Flow and Heat Transfer in an Ejector-Driven Swirl Anti-Icing Chamber

Study of Flow and Heat Transfer in an Ejector-Driven Swirl Anti-Icing Chamber

Research on the Purchase Intention of Electric Vehicles Based on Customer Evaluation and Personal Information

A Study in Aircraft Heating System Trainer Model AS-43 for Aeronautical Engineering Students Practice

Contact Info

Product

Resources

About