HxPINN：基于超网络的物理信息神经网络，用于实时监测工业热交换器

IF 1.7 4区工程技术 Q3 MECHANICS

Numerical Heat Transfer Part B-Fundamentals Pub Date : 2024-03-13 DOI:10.1080/10407790.2024.2325648

Ritam Majumdar, Vishal Jadhav, Anirudh Deodhar, Shirish Karande, Lovekesh Vig, Venkataramana Runkana

引用次数: 0

摘要

鉴于热交换器在保持能源效率方面的关键作用，各行业在实现可持续发展目标方面的重要性已大大提高。然而，由于热交换器的效果不佳...

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

HxPINN: A hypernetwork-based physics-informed neural network for real-time monitoring of an industrial heat exchanger

The importance of heat exchangers in achieving sustainability goals has significantly increased across industries, given their crucial role in maintaining energy efficiency. However, lack of effect...

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Numerical Heat Transfer Part B-Fundamentals 工程技术-力学

CiteScore

2.40

自引率

0.00%

发文量

审稿时长

2.8 months

期刊介绍： Published 12 times per year, Numerical Heat Transfer, Part B: Fundamentals addresses all aspects of the methodology for the numerical solution of problems in heat and mass transfer as well as fluid flow. The journal’s scope also encompasses modeling of complex physical phenomena that serves as a foundation for attaining numerical solutions, and includes numerical or experimental results that support methodology development. All submitted manuscripts are subject to initial appraisal by the Editor, and, if found suitable for further consideration, to peer review by independent, anonymous expert referees. The Editor reserves the right to reject without peer review any papers deemed unsuitable.