Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Performance prediction and design optimization of turbine blade profile with deep learning method
Q Du, Y Li, L Yang, T Liu, D Zhang, Y **e - Energy, 2022 - Elsevier
Aerodynamic design optimization of the blade profile is a critical approach to improve
performance of turbomachinery. This paper aims to achieve the performance prediction with …
performance of turbomachinery. This paper aims to achieve the performance prediction with …
A hybrid approach to optimization of radial inflow turbine with principal component analysis
Energy conversion efficiency is one of the most important features of power systems as it
greatly influences the economic balance. The efficiency can be increased in many ways …
greatly influences the economic balance. The efficiency can be increased in many ways …
Optimization design of radial inflow turbine combined with mean-line model and CFD analysis for geothermal power generation
It is a considerable challenge to determine the key parameters affecting the efficiency and
propose an accurate loss prediction model for radial flow turbine design. In current …
propose an accurate loss prediction model for radial flow turbine design. In current …
Integrated graph deep learning framework for flow field reconstruction and performance prediction of turbomachinery
J Li, T Liu, Y Wang, Y **e - Energy, 2022 - Elsevier
The performance and reliability of turbomachinery directly affect the efficiency and safety of
energy conversion systems. A dual graph neural network (DGNN) for turbomachinery flow …
energy conversion systems. A dual graph neural network (DGNN) for turbomachinery flow …
Optimization of a radial inflow turbine rotor with splitter blades based on entropy production theory and artificial neural network
Z Wang, H Yang, X **a, X Li, Q Zuo, B **e… - Applied Thermal …, 2024 - Elsevier
The radial inflow turbine is the core component of the organic Rankine cycle, and the
application of splitter blades is an effective way to reduce its flow loss. It is helpful to study …
application of splitter blades is an effective way to reduce its flow loss. It is helpful to study …
Multi-objective optimization of an ORC power plant using one-dimensional design of a radial-inflow turbine with backswept rotor blades
M Jankowski, P Klonowicz, A Borsukiewicz - Energy, 2021 - Elsevier
Organic Rankine cycle (ORC) power plants are a promising technology for converting low
and medium temperature energy sources into electricity. In order to fully exploit the potential …
and medium temperature energy sources into electricity. In order to fully exploit the potential …
Off-design model of an ORC system for waste heat recovery of an internal combustion engine
R de Oliveira Neto, CAR Sotomonte… - Applied Thermal …, 2021 - Elsevier
The exhaust gases of an ICE leave the equipment still with enough temperature to generate
more electric power if a proper system is used for that purpose. Therefore, due to this …
more electric power if a proper system is used for that purpose. Therefore, due to this …
[HTML][HTML] In a biogas power plant from waste heat power generation system using Organic Rankine Cycle and multi-criteria optimization
Increasing energy consumption, rapid population growth, and technological developments
have increased the need for energy demand day by day. At the point of meeting this need …
have increased the need for energy demand day by day. At the point of meeting this need …
Thermo-economic optimization of biomass-fired organic Rankine cycles combined heat and power system coupled CO2 capture with a rated power of 30 kW
F Zhang, Y Feng, Z He, J Xu, Q Zhang, K Xu - Energy, 2022 - Elsevier
Combining organic Rankine cycle (ORC) and biomass direct combustion to form a
combined heating and power system (CHP) is a feasible technology to realize small …
combined heating and power system (CHP) is a feasible technology to realize small …
Fast robust optimization of ORC based on an artificial neural network for waste heat recovery
Uncertainty in the organic Rankine cycle (ORC) system and the highly complex ORC models
pose challenges to optimal operation. A data-driven robust parametric optimization for the …
pose challenges to optimal operation. A data-driven robust parametric optimization for the …