A5101823231- Freezing and Crystallization Processes
- Magnetic and Electromagnetic Effects
- Soil Mechanics and Vehicle Dynamics
- Microbial Inactivation Methods
- Heat Transfer and Optimization
- Agricultural Engineering and Mechanization
- Heat Transfer Mechanisms
- Advanced machining processes and optimization
- Spectroscopy and Chemometric Analyses
- Adsorption and Cooling Systems
- Energy Efficiency and Management
- Building Energy and Comfort Optimization
- Advanced Chemical Sensor Technologies
- Fiber-reinforced polymer composites
- Advanced Multi-Objective Optimization Algorithms
- Agriculture, Plant Science, Crop Management
- Epoxy Resin Curing Processes
- Model Reduction and Neural Networks
- Thermochemical Biomass Conversion Processes
- Coal and Its By-products
- Refrigeration and Air Conditioning Technologies
- Advanced Measurement and Detection Methods
- Wireless Sensor Networks and IoT
- Environmental Impact and Sustainability
- Advanced Decision-Making Techniques
Shanxi Agricultural University
2007-2024
Beijing Center for Disease Prevention and Control
2023
Shenyang Aerospace University
2022
Northeastern University
2016-2019
Central South University
2019
Jinling Institute of Technology
2009
Aerospace Research Institute of Materials and Processing Technology
2006
Anhui Science and Technology University
2004
Aiming at the problems found in grinding Jun-Cao, such as poor effect and high power of mill, this study proposes a blade Jun-Cao hammer based on traditional mill. With dynamics model analysis, it had better performance than hammer. By simulating operation process DEM, forces their motions were analyzed. optimizing structural parameters multiobjective optimization using genetic algorithm, an optimal solution set was obtained reference for practical production. Meanwhile, bench test designed...
The circulating cooling water system which ensures the production process running safely plays a very important role in iron and steel enterprise its energy-saving operation is based on accurate prediction of outlet temperature plate heat exchanger. A hybrid modeling method proposed this paper to predict By analyzing operational mechanism transfer exchanger, mechanistic model established according thermal equation balance then radial basis function neural network (RBFNN) applied develop with...
Objective: To analyze the influential factors of loneliness in elderly aged ≥60 years China. Methods: Data used this study were obtained from participants China Longitudinal Aging Social Survey, with a sample size 7 593. Loneliness was measured scale, and influence subjective objective on their interaction analyzed stepwise linear regression model simple slope test. SPSS 25.0 for statistical analysis. PROCESS 3.3 macro program Results: A total 8 926 included. Among factors, poor family...
Abstract In this paper, a modelling method for plate heat exchanger (PHE) is proposed to predict the outlet cooling water temperature. First, mechanistic model of PHE developed based on theory and mass transfer. The unknown parameters in are identified by solving an optimization with sequential quadratic programming (SQP) method. Then, improve output precision, data‐driven kernel partial least squares (KPLS) algorithm added parallel compensate deviations between outputs real values With...