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Article
Publication date: 8 August 2024

Wei Suo, Xuxiang Sun, Weiwei Zhang and Xian Yi

The purpose of this study is to establish a novel airfoil icing prediction model using deep learning with geometrical constraints, called geometrical constraints enhancement…

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Abstract

Purpose

The purpose of this study is to establish a novel airfoil icing prediction model using deep learning with geometrical constraints, called geometrical constraints enhancement neural networks, to improve the prediction accuracy compared to the non-geometrical constraints model.

Design/methodology/approach

The model is developed with flight velocity, ambient temperature, liquid water content, median volumetric diameter and icing time taken as inputs and icing thickness given as outputs. To enhance the icing prediction accuracy, the model involves geometrical constraints into the loss function. Then the model is trained according to icing samples of 2D NACA0012 airfoil acquired by numerical simulation.

Findings

The results show that the involvement of geometrical constraints effectively enhances the prediction accuracy of ice shape, by weakening the appearance of fluctuation features. After training, the airfoil icing prediction model can be used for quickly predicting airfoil icing.

Originality/value

This work involves geometrical constraints in airfoil icing prediction model. The proposed model has reasonable capability in the fast assessment of aircraft icing.

Details

International Journal of Numerical Methods for Heat & Fluid Flow, vol. 34 no. 9
Type: Research Article
ISSN: 0961-5539

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Article
Publication date: 2 August 2024

Xiaolei Yu, Xuxiang Cheng, Kyung Hoon Kim and Huanzhang Wang

This study aims to explore how perceived usefulness and perceived ease of use affect users' sensory experience and behavioral experience in the metaverse context, and explore the…

443

Abstract

Purpose

This study aims to explore how perceived usefulness and perceived ease of use affect users' sensory experience and behavioral experience in the metaverse context, and explore the significance of building a metaverse platform for companies, and provide management enlightenment for corporate development.

Design/methodology/approach

Data were collected from 329 online participants and analyzed using structural equation modeling and hierarchical regression.

Findings

Perceived usefulness and ease of use have a significant influence on customer sensory experience and behavioral experience in the metaverse. Sensory experience mediates the influence of perceived usefulness and availability on behavioral experience. Social presence positively moderates the influence of both usefulness and ease of use on sensory and behavioral experience. In other words, perceived usefulness and perceived ease of use in the metaverse situation affect sensory experience through social presence, and then affect behavioral experience.

Originality/value

This research clarifies the effect of usefulness and ease of use on customer sensory and behavioral experience. It confirms the positive moderating role of social presence and the mediating role of sensory experience in the influence pathway between perceived usefulness, ease of use, and behavioral experience. From the perspective of management, this study provides theoretical support for the positive impact of corporate metaverse platform building on customer brand experience in the future, and provides impetus for companies to pay attention to improving the usefulness and ease of use of their metaverse platform.

Details

Asia Pacific Journal of Marketing and Logistics, vol. 36 no. 12
Type: Research Article
ISSN: 1355-5855

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