搜索结果: 1-11 共查到“材料科学 Networks”相关记录11条 . 查询时间(0.093 秒)
Resilient Polymer Networks Via Thiol-Norbornene Chemistry: Mechanical and Adhesive Properties
Pure sciences Resilient polymer networks Adhesion Cavitation rheology End-linking chemistry Hydrogels Mechanical properties
2014/11/21
Hydrogels, a class of materials composed of polymer networks swollen with large amounts of water, have gained increasing attention in a range of fields, from tissue engineering to food science. Howeve...
EVALUATING EFFECTS OF MOLECULAR HETEROGENEITY ON THE NON-LINEAR MECHANICAL BEHAVIOR OF EPOXY NETWORKS
Epoxy Heterogeneity DMA Compression Fracture Toughness
2014/11/21
This thesis describes synthetic and processing strategies to formulate epoxies resins with molecular heterogeneity to achieve enhanced engineering properties. The network heterogeneities include chemi...
Motion of Particles as a Probe: Dynamics and Assembly in Gel Networks/Aqueous Media
single particle tracking Quantum dots polyacrylamide hydrogel heterogeneous structure Quantum dot rings coffee ring effect
2014/11/21
Nanoparticles are of great interest with a wide variety of potential applications due to their unexpected but interesting physical properties which are different from bulk state, enable small length s...
VISUALIZING AND CONTROLLING CHARGE TRANSPORT IN CONJUGATED POLYMER NETWORKS AND FILMS
polymers conjugated polymers cross-linking visualization
2014/11/21
Directed by: Professor Kenneth R. Carter
The desire for more commercially feasible flexible electronic plastics has led to the development of increasingly complex conjugated polymer architectures and...
Application of artificial neural networks in modelling of quenched and tempered structural steels mechanical properties
artificial neural networks modelling quenched structural steels
2010/8/12
The material mechanical properties prediction possibility is valuable for manufacturers and design engineers. That is why over one year ago, in [1] modelling results of normalised
structural steels m...
Assessment of the didactic measurement results using FCM type networks
E-learning Computer aided teaching Course management system
2009/12/3
Purpose: The paper presents students egzamination system developer for the scaleable e-learning system. Organisation of the teaching and examination processes, as well as the implementation details ar...
Neural networks application for modeling carbonizing process in fluidized bed
Surface layer engineering Neuron networks Process modelling Artificial intelligent
2009/12/2
Purpose: This paper presents neural network model used for designing the assumed curve of hardness after carbonizing car drive cross in fluidized bed. This process is very complicated and difficult as...
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...
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...
Modelling of properties of the PVD coatings using neural networks
Computational material science PVD coatings Multifractal geometry
2010/2/9
Purpose: The goal of this work is to develop the neural network model for prediction of properties Ti+TiN, Ti+Ti(C,N) and Ti+TiC coatings obtained in the PVD process.
Design/methodology/approach: Neu...
Application of Bayesian Networks to Diagnostics of Hot Dip Galvanized Coasts
Formalization of knowledge Uncertain knowledge Bayesian networks
2011/3/11
This study presents an output of the application of a probabilistic method of inference based on Bayes' rule in the diagnosis of defects formed during hot-dip galvanising process of casting products. ...