检索结果-南通市图书馆

Towards online optimisation of solid oxide fuel cell performance: Combining deep learning with multi-physics simulation

引用

Energy and AI 2020年第1期1卷 11-21页

作者： Haoran Xu Jingbo Ma Peng Tan Bin Chen Zhen Wu Yanxiang Zhang Huizhi Wang Jin Xuan Meng Ni Department of Chemical Engineering Loughborough UniversityLoughboroughUnited Kingdom National Key Laboratory for Precision Hot Processing of Metals School of Materials Science and EngineeringHarbin Institute of TechnologyHarbin 150001HeilongjiangChina Department of Thermal Science and Energy Engineering University of Science and Technology of ChinaHefei 230026China Institute of Deep Earth Sciences and Green Energy Shenzhen UniversityShenzhen 518060China Shaanxi Key Laboratory of Energy Chemical Process Intensification School of Chemical Engineering and TechnologyXi’an Jiaotong UniversityXi’anChina Department of Mechanical Engineering Imperial College LondonLondon SW72AZ United Kingdom Department of Building and Real Estate Building Energy Research GroupThe Hong Kong Polytechnic UniversityHung HomKowloonHong KongChina Environmental Energy Research Group Research Institute for Sustainable Urban Development(RISUD)The Hong Kong Polytechnic UniversityHung HomKowloonHong KongChina

The use of solid oxide fuel cells(SOFCs)is a promising approach towards achieving sustainable electricity pro-duction from *** utilisation of the hydrocarbons and biomass in SOFCs is particularly attractive owing to their wide distribution,high energy density,and low *** long-term operation of SOFCs using such fuels remains difficult owing to a lack of an effective diagnosis and optimisation system,which requires not only a precise analysis but also a fast *** this study,we developed a hybrid model for an on-line analysis of SOFCs at the cell *** model combines a multi-physics simulation(MPS)and deep learning,overcoming the complexity of MPS for a model-based control system,and reducing the cost of building a database(compared with the experiments)for the training of a deep neural *** maximum temperature gradient and heat generation are two target parameters for an efficient operation of *** results show that a precise predic-tion can be achieved from a trained AI algorithm,in which the relative error between the MPS and AI models is less than 1%.Moreover,an online optimisation is realised using a genetic algorithm,achieving the maximum power density within the limitations of the temperature gradient and operating *** method can also be applied to the prediction and optimisation of other non-liner,dynamic systems.

关键词： Solid oxide fuel cell multi-physics simulation Artificial intelligence Deep neural network Hybrid model On-line optimisation

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Microwave-induced thermoacoustic elastic imaging:A simulation study

引用

Journal of Innovative Optical Health Sciences 2024年第2期17卷 1-11页

作者： Lin Huang Zheng Liang Shuaiqi Qiao Weipeng Wang School of Electronic Science and Engineering(National Exemplary School of Microelectronics)University of Electronic Science and Technology of China ChengduP.R.China Zhangjiang Laboratory 100 Haike Road Shanghai 201204P.R.China

Microwave-induced thermoacoustic imaging(MTI)has the advantages of high resolution,high contrast,non-ionization,and ***,MTI was used in the¯eld of breast cancer *** this paper,based on the¯nite element method(FEM)and COMSOL multiphysics software,a three-dimensional breast cancer model suitable for exploring the MTI process is proposed to investigate the in°uence of Young's modulus(YM)of breast cancer tissue on *** is found that the process of electromagnetic heating and initial pressure generation of the entire breast tissue is earlier in time than the thermal expansion ***,compared with normal breast tissue,tumor tissue has a greater temperature rise,displacement,and pressure *** particular,YM of the tumor is related to the speed of thermal *** particular,the larger the YM of the tumor is,the higher the heating and contraction frequency is,and the greater the maximum pressure ***®erent Young's moduli correspond to di®erent thermoacoustic signal *** MTI,this study can be used to judge di®erent degrees of breast cancer based on elastic *** addition,this study is helpful in exploring the possibility of microwave-induced thermoacoustic elastic imaging(MTAE).

关键词： Thermoacoustic imaging breast cancer multi-physics simulation elastic imaging

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Modelling the Influence of Air Jet Configurations on Non-Woven Steel Fibre Mixing in the Melt Overflow Process

引用

Modeling and Numerical simulation of Material Science 2022年第2期12卷 24-45页

作者： Ismail Abubakar Hugh Gong Sathish K. Nammi Lee Marston James Deane School of Materials University of Manchester Manchester UK Zienkiewicz Centre for Computational Engineering Swansea University West Glamorgan UK Fibretech Limited Pinxton Nottingham UK

The mixing of non-woven steel fibres in melt overflow process for use in automotive muffler systems was simulated. The aim was to identify optimum parameters for achieving a good fibre mix. Numerical models of mixing chambers of melt overflow process were developed. multiphysics analyses involving heat transfer, fluid flow and particle tracking were carried out using COMSOL code. The influence of air jet configurations on the fibre distribution was studied. The fibres settled on the moving bed within the mixing chamber were examined for their uniformity. The effect of additional air jets to the existing chamber in a range of regions was explored. An optimum configuration was identified by analyzing the compactness of the particle clusters deposited in the simulation and validated using pixel data acquired from real time imaging. The results showed that by employing dual air jets at the front end of the chamber, the density of the fibre material has improved. We conclude that through multi-physics modelling, it was possible to identify the optimum air-jet configurations leading to fibre uniformity and its distribution. This work also paves the way for incorporating a vision system to evaluate fibre density in real time.

关键词： Non-Woven Steel Fibre Steel Fibre Casting Melt and Overflow Pneumatic Conveying multi-physics simulation

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：