scholarly journals Designing polymer nanocomposites with a semi-interpenetrating or interpenetrating network structure: toward enhanced mechanical properties

2017 ◽  
Vol 19 (24) ◽  
pp. 15808-15820 ◽  
Author(s):  
Wenhui Wang ◽  
Guanyi Hou ◽  
Zijian Zheng ◽  
Lu Wang ◽  
Jun Liu ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Polymer Nanocomposites ◽  
Network Structure ◽  
Network Structures ◽  
Interpenetrating Network ◽  
Uniform Dispersion

Semi-interpenetrating and interpenetrating network structures for the uniform dispersion of NPs and the reinforced mechanical properties of polymer nanocomposites.

Optimizing the heterogeneous network structure to achieve polymer nanocomposites with excellent mechanical properties

2021 ◽  
Vol 23 (7) ◽  
pp. 4437-4452
Author(s):  
Tongkui Yue ◽  
Sai Li ◽  
Zhiyu Zhang ◽  
Yulong Chen ◽  
Liqun Zhang ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Polymer Nanocomposites ◽  
Network Topology ◽  
Network Structure ◽  
Heterogeneous Network

A special heterogeneous network structure was fabricated, and then nanoparticles (NPs) were selectively distributed in different regions. Results shown that the NPs distribution and network topology have a significant effect on mechanical properties.

scholarly journals Preparation and Properties of Toluene-Diisocyanate-Trimer-Modified Epoxy Resin

Polymers ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 416 ◽  
Author(s):  
Xiongfei Zhang ◽  
Lu Qiao ◽  
Xiaolian Lu ◽  
Linqi Jiang ◽  
Ting Cao
Keyword(s):  
Mechanical Properties ◽  
Corrosion Resistance ◽  
Epoxy Resin ◽  
Network Structure ◽  
High Performance ◽  
Toluene Diisocyanate ◽  
Interpenetrating Network ◽  
Resin Curing ◽  
Modified Epoxy ◽  
Polyurethane Prepolymer

In this paper, a novel modified epoxy resin with an interpenetrating network structure for use as a grouting material with high toughness was prepared by a method of graft copolymerization between polyurethane prepolymer (PUP) trimer and epoxy resin (E-44). Polyurethane prepolymer was synthesized using poly(propylene glycol) (PPG) and 2,4-toluene diisocyanate trimer (TDIT) at 70 °C for 3 h. The graft copolymer was prepared by grafting polyurethane prepolymer onto the side chain of epoxy resin at 110 °C. The mechanical properties, fracture surface morphology, chemical structure, thermal properties, and corrosion resistance of the modified epoxy resin curing products were studied. Due to the beneficial flexible segments and the interpenetrating network structure, the results show that when the ratio of epoxy resin to polyurethane prepolymer is 10:2, the optimum mechanical properties are obtained; these include a compressive resistance of 184.8 MPa, impact property of 76.6 kJ/m2, and elongation at break of 31.5%. At the same time, the modified epoxy resin curing product also has excellent heat and corrosion resistance. This work provides a new method for the study of epoxy resins with high performance.

Effect of porous Si3N4 preform on the mechanical properties of Si3N4/Al composites with interpenetrating network structure

2014 ◽  
Vol 607 ◽  
pp. 307-312 ◽  
Author(s):  
Bo Wang ◽  
Zhao-Yun Xu ◽  
Wei-Zhong Lu ◽  
Feng Jin ◽  
Jian-Feng Yang ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Network Structure ◽  
Interpenetrating Network ◽  
Porous Si3n4

scholarly journals Deep Learning Approach to Mechanical Property Prediction of Single-Network Hydrogel

Mathematics ◽  
2021 ◽  
Vol 9 (21) ◽  
pp. 2804
Author(s):  
Jingang Zhu ◽  
Yetong Jia ◽  
Jincheng Lei ◽  
Zishun Liu
Keyword(s):  
Neural Network ◽  
Mechanical Properties ◽  
Mechanical Property ◽  
Deep Learning ◽  
Network Structure ◽  
Structural Model ◽  
Learning Approach ◽  
Network Structures ◽  
Learning Models ◽  
Hydrogel Network

Hydrogel has a complex network structure with inhomogeneous and random distribution of polymer chains. Much effort has been paid to fully understand the relationship between mesoscopic network structure and macroscopic mechanical properties of hydrogels. In this paper, we develop a deep learning approach to predict the mechanical properties of hydrogels from polymer network structures. First, network structural models of hydrogels are constructed from mesoscopic scale using self-avoiding walk method. The constructed model is similar to the real hydrogel network. Then, two deep learning models are proposed to capture the nonlinear mapping from mesoscopic hydrogel network structural model to its macroscale mechanical property. A deep neural network and a 3D convolutional neural network containing the physical information of the network structural model are implemented to predict the nominal stress–stretch curves of hydrogels under uniaxial tension. Our results show that the end-to-end deep learning framework can effectively predict the nominal stress–stretch curves of hydrogel within a wide range of mesoscopic network structures, which demonstrates that the deep learning models are able to capture the internal relationship between complex network structures and mechanical properties. We hope this approach can provide guidance to structural design and material property design of different soft materials.

Network Organizational Structure (a Scientific and Practical Review)

2020 ◽  
Vol 26 (6) ◽  
pp. 613-618
Author(s):  
A. V. Altukhov ◽  
S. A. Tishchenko
Keyword(s):  
Organizational Structure ◽  
Network Structure ◽  
Business Models ◽  
Scientific Development ◽  
Network Structures ◽  
Scientific Publications ◽  
Wide Range ◽  
Modern Business ◽  
History Of ◽  
Business Structures

The presented study reviews practically relevant research papers in the field of network structures, modern network business models and platforms.Aim. The study aims to elaborate and explain the concept of network structure and platform and to show the reasons for the progressiveness and potential of network organizational structure at the current stage of socio-economic and scientific development.Tasks. The authors highlight the main scientific ideas about network structures in business, including significant studies in this area; provide and explain the main terms and definitions and examine the key characteristics of network business structures; characterize “platforms” as an important concept for modern business and show the relationship between platforms and network structures.Methods. This study uses analysis of information and subsequent synthesis of new knowledge in the form of the authors’ conclusions and a wide range of relevant scientific publications of Russian and foreign authors, including original publications in English and French.Results. The history of network structures is briefly provided. Definitions and characteristics of such concepts as “network structure” and “platform” in relation to business are provided and explained by the authors.

Tailoring martensitic transformation and mechanical properties of Ti–Ni composite reinforced by network structure of in-situ TiB and La2O3 phase

Vacuum ◽  
2021 ◽  
Vol 184 ◽  
pp. 109894 ◽  
Author(s):  
Xiaoyang Yi ◽  
Haizhen Wang ◽  
Kuishan Sun ◽  
Guijuan Shen ◽  
Xianglong Meng ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Martensitic Transformation ◽  
Network Structure

Effect of nanofillers on the crystalline and mechanical properties of EVACO polymer nanocomposites

2021 ◽  
Author(s):  
Gibin George ◽  
H. Manikandan ◽  
T.M. Anup Kumar ◽  
Sam Joshy ◽  
A.C. Sanju ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Polymer Nanocomposites
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