Research on the Construction and Application of the Digital Twin Platform for Loading Systems DOI
Yu‐Shu Wu,

Qiang He,

Huashi Yang

et al.

Published: Nov. 15, 2024

Language: Английский

Innovative design and numerical optimization of a cylindrical thermoelectric generator for vehicle waste heat recovery DOI
Jie Chen, Ruochen Wang, Renkai Ding

et al.

Energy Conversion and Management, Journal Year: 2025, Volume and Issue: 326, P. 119478 - 119478

Published: Jan. 7, 2025

Language: Английский

Citations

2
Numerical investigation and optimization of a hexagonal thermoelectric generator with diverging fins for exhaust waste heat recovery DOI
Ding Luo,

Haokang Zhang,

Jin Cao

et al.

Energy, Journal Year: 2024, Volume and Issue: 301, P. 131756 - 131756

Published: May 23, 2024

Language: Английский

Citations

9
Performance and parameter prediction of SCR–ORC system based on data–model fusion and twin data–driven DOI
Shengdong Lu,

Xinle Yang,

Shujuan Bu

et al.

Energy, Journal Year: 2024, Volume and Issue: 290, P. 130263 - 130263

Published: Jan. 5, 2024

Language: Английский

Citations

4
Structure Design and Performance Enhancement of Automobile Thermoelectric Generator System Integrated with a Spoiler DOI
Jie Chen, Renkai Ding, Ruochen Wang

et al.

SAE technical papers on CD-ROM/SAE technical paper series, Journal Year: 2025, Volume and Issue: 1

Published: Jan. 31, 2025

<div class="section abstract"><div class="htmlview paragraph">The thermoelectric generator system is regarded as an advanced technology for recovering waste heat from automotive exhaust. To address the issue of uneven temperature distribution within exchanger that limits output performance system, this study designs a novel generation integrated with turbulence enhancers. This configuration aims to enhance convective transfer at rear end and improve overall uniformity. A multiphysics coupled model established evaluate impact enhancers on system's electrical output, comparing its traditional systems. The findings indicate integration significantly increases rate uniformity exchanger. However, it also leads increase in exhaust back pressure, which negatively affects performance. At lower flow velocities, gains power attributable considerably outweigh pressure. Specifically, under conditions 550 K 20 m/s, power, net coefficient by 39.2%, 33.6%, 8.5%, respectively. As rises, become even more pronounced. Nevertheless, high conditions, rise pressure can potentially degrade Therefore, recommended be appropriately diverted practical applications ensure optimal research provides essential theoretical guidance design optimization systems.</div></div>

Language: Английский

Citations

0
Proposing wavy-shaped legs for performance improvement of thermoelectric generators: energy, exergy, environmental, and mechanical analysis using a CFD-trained machine learning method DOI
Emad Ali, Hazim Moria

Thermal Science and Engineering Progress, Journal Year: 2025, Volume and Issue: unknown, P. 103632 - 103632

Published: April 1, 2025

Language: Английский

Citations

0
Study on the Ultimate Load-Bearing Capacity of Disc Buckle Tall Formwork Support Considering Uncertain Factors DOI Creative Commons
Hua Huang,

Zhenfeng Peng,

Jinkun Hou

et al.

Buildings, Journal Year: 2024, Volume and Issue: 14(3), P. 828 - 828

Published: March 19, 2024

Disc buckle steel pipe brackets are widely used in building construction due to the advantages of its simple structure, large-bearing capacity, rapid assembling and disassembling, strong versatility. In complex projects, uncertainties affecting stability disc support need be considered ensure safety supports. A surrogate model based on a deep neural network is built trained predict ultimate load-carrying capacity stent. The results finite element calculations form sample set model. Then, we combined computationally efficient DNN with Monte Carlo method consider distribution load bracket under node pin wedge tightness, wall thickness pipe, connection connecting member. At same time, model, SHapley Additive exPlanations (SHAP) interpretability analysis was study degree influence various uncertainty factors bearing practical engineering, tall formwork has shown that predicting buckling characteristic value support. error rate prediction less than 2%. values vary range 17–25. Among bracket, joint tightness greatest impact, followed by bottom top wall-connecting parts.

Language: Английский

Citations

0
AI optimization framework using digital layouts of array structures: A case study for fuel cells DOI

Xunkang Su,

Mingxin Liu,

Wenxuan Fan

et al.

Fuel, Journal Year: 2024, Volume and Issue: 373, P. 132333 - 132333

Published: June 28, 2024

Language: Английский

Citations

0
Shape-performance coupled digital twin based on heterogeneous data from multiple sources: a scissor lift platform example DOI

Hongjiang Lu,

Zenggui Gao, Yan‐Ning Sun

et al.

Engineering With Computers, Journal Year: 2024, Volume and Issue: unknown

Published: July 29, 2024

Language: Английский

Citations

0
Research on the Construction and Application of the Digital Twin Platform for Loading Systems DOI
Yu‐Shu Wu,

Qiang He,

Huashi Yang

et al.

Published: Nov. 15, 2024

Language: Английский

Citations

0