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中国地质大学科学技术发展院杨现禹，蔡记华*，蒋国盛*等，工程学院，Energy（July 2020），Nanoparticle plugging prediction of shale pores: A numerical and experimental study
能源领域；物理建模；纳米技术
2021/10/15
近日，能源与燃料领域国际重要期刊《Energy》刊发了中国地质大学工程学院蒋国盛教授和蔡记华教授团队的研究成果——“Nanoparticle plugging prediction of shale pores: A numerical and experimental study”。该文第一作者杨现禹为工程学院特任副教授，通讯作者为蔡记华教授和蒋国盛教授。
Springback prediction in V-die bending: modelling and experimentation
Springback prediction V-die bending modelling experimentation
2010/8/12
Spring-back is a common phenomenon that occurs in sheet metal bending after unloading due to elastic recovery. It could be defined in terms of spring-back ratio K (the ratio between the produced and d...
A Case Based Reasoning aluminium thermal analysis platform for the prediction of W319 Al cast component characteristics
Case Based Reasoning Thermal analysis – Universal Metallurgical Simulator and Analyzer (UMSA) and AlTAP Technology Platforms W319 aluminum alloy
2009/12/14
Purpose: This paper presents the research on the development of the Aluminum Thermal Analysis Technology Platform (AlTAP) utilizing a Case Based Reasoning (CBR) Caspian shell for interpretation of ind...
Minimum additional material volume prediction for preform product by using abductive network and Taguchi method
Abductive network Taguchi method Finite element method
2009/12/2
Purpose: To predict the minimum value of additional material volume for an acceptable preform product.
To predict an acceptable preform product without shape defect such as unfilling in a closed-die ...
Dynamic rigidity and loss factor prediction for composite layered panel
Computational material science Composite materials Laminated plates
2009/12/2
Purpose: The study aims to predict the dynamic rigidity and loss factor properties of composite laminated plates.
Design/methodology/approach: Dynamic rigidity and loss factor properties have been de...
Application of the artificial neural networks for prediction of magnetic saturation of metallic amorphous alloys
Computational material science Artificial neural networks Amorphous materials
2009/12/2
Purpose: The aim of the work is to employ the artificial neural networks for prediction of magnetic saturation of
the amorphous alloys with the iron and cobalt matrix.
Design/methodology/approach: I...
The model of prediction of the microstructure austenite C-Mn steel
Numerical techniques Microstructure Modelling of microstructure
2009/12/1
Purpose: The subject of the work is analysis of author’s model for prediction of austenite microstructure of C-Mn
steel based on Sellar’s solution.
Design/methodology/approach: The present study ado...
Prediction of useful casting structure applying Cellular Automaton method
Structure modelling Solidification Cellular Automaton Al-Si alloy
2011/3/31
The results of simulation investigations of primary casting’s structure made of hypoeutectic Al-Si alloy using the Calcosoft system with CAFE 3D (Cellular Automaton Finite Element) module are presente...
Prediction of useful casting structure applying Cellular Automaton method
Structure modelling Solidification Cellular Automaton Al-Si alloy
2011/3/31
The results of simulation investigations of primary casting’s structure made of hypoeutectic Al-Si alloy using the Calcosoft system with CAFE 3D (Cellular Automaton Finite Element) module are presente...
Morphology prediction of intermetallics formed in 4xxx type of aluminium alloy
Metallic alloys Electron microscopy Microstructure Intermetallic phase
2010/1/19
Purpose: It is intention of this paper to present results of studies of AlSi5Cu2Mg cast alloy in T6 condition
with emphasis on composition of intermetallic phases. It was revealed that the microstruc...
Design/methodology/approach: Obviously the number of the cracks and their sizes dictate the life of the cannon’s barrel. Since the life of this component directly depends on the inner micro-cracks aft...
Modelling of hardness prediction of magnesium alloys using artificial neural networks applications
Heat treatment Mechanical properties Artificial neural networks
2010/2/8
Findings: The different heat treatment kinds employed contributed to the improvement of mechanical properties of the alloy with the slight reduction of its plastic properties.
Research limitations/im...
Loss factor prediction for laminated plates
Computational material science Composite materials Laminated plates
2010/2/9
Purpose: The study aims to predict the loss factor properties of composite laminated plates.
Design/methodology/approach: Elastic constants of laminates and damping properties have been determined by...
February 15, 2007，Safe operation of fossil fuel and nuclear power plants, pipelines, aircraft and medical devices can be severely threatened by corrosion of metal alloys such as stainless steel.