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Article
Publication date: 2 January 2018

Yongkun Wang, Tianran Ma, Wenchao Tian, Junjue Ye, Xing Wang and Xiangjun Jiang

The purpose of this paper is to prepare novel electroactive shape memory nanocomposites based on graphene and study the thermomechanical property and shape memory behavior of…

Abstract

Purpose

The purpose of this paper is to prepare novel electroactive shape memory nanocomposites based on graphene and study the thermomechanical property and shape memory behavior of nanocomposites.

Design/methodology/approach

Graphene was dispersed in N,N-dimethylformamide, and the mixture was spooned into epoxy-cyanate ester mixtures to form graphene/epoxy-cyanate ester nanocomposites. The nanocomposites were deformed under 150°C, and shape recovery test was conducted under an electric voltage of 20-100 V.

Findings

Graphene is used to improve the shape recovery behavior and performance of shape-memory polymers (SMPs) for enhanced electrical actuation effectiveness. With increment of graphene content, the shape recovery speed of nanocomposites increases significantly.

Research limitations/implications

A simple way for fabricating electro-activated SMP nanocomposites has been developed by using graphene.

Originality/value

The outcome of this study will help to fabricate the SMP nanocomposites with high electrical actuation effectiveness and improve the shape recovery speed of the nanocomposites.

Details

Pigment & Resin Technology, vol. 47 no. 1
Type: Research Article
ISSN: 0369-9420

Keywords

Article
Publication date: 13 November 2009

Song Xiao, Zhang Lin, Gong Guang‐hong, Di Yan‐Qiang and Yu Peng‐fei

The purpose of this paper is to introduce a new method of ontology‐based digital product data exchange. The digital product data are enriched with virtual prototype (VP) model…

Abstract

Purpose

The purpose of this paper is to introduce a new method of ontology‐based digital product data exchange. The digital product data are enriched with virtual prototype (VP) model information and the designed exchange process is discussed. Additionally, an algorithm enabling the ontology‐based data exchange method among missile guide systems is proposed and analyzed.

Design/methodology/approach

Semantic sevice‐oriented architecture (SSOA) is an innovative integration architecture for digital product information integration and process integration. In digital product ontology layer of SSOA, a new method of ontology‐based product data exchange is proposed. Compared with traditional information exchange, the method adds the VP's information to general digital products' information. The VP's information is described by building VP static structure ontology and dynamic behavior ontology. The exchange process of the novel method is discussed in detail. Finally, an example illustrating the data exchange among missile guide systems is given and the merits of the proposed method is analyzed.

Findings

Simulation information, especially VP information, is not always well defined and taken into account by product data exchange systems such as product data management or product lifecycle management. A formal description of VP information is often required in efficient and effective product data exchange. The goal is to define VP structure and behavior ontologies to enable ontology‐based digital product data exchange.

Originality/value

Using VP information including structure information and behavior information, the paper provides a new method of digital product data exchange.

Details

COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, vol. 28 no. 6
Type: Research Article
ISSN: 0332-1649

Keywords

Article
Publication date: 1 March 2021

Feng Zhang

This study aims to analyze the subsequent investment success of EMNCs after their strategic asset-seeking foreign direct investments (FDIs), while internationalization…

Abstract

Purpose

This study aims to analyze the subsequent investment success of EMNCs after their strategic asset-seeking foreign direct investments (FDIs), while internationalization trajectories of multinational corporations from emerging economies (EMNCs) have been extensively studied, Post-internationalization investment success of EMNCs is defined as extensive technological knowledge access and transfer for knowledge combination. This paper focuses on EMNC explicit knowledge access and transfer.

Design/methodology/approach

This study analyzes US patents granted between 2000 and 2014 to leading innovation-oriented EMNCs from China and India as well as to their key competitors from mature industrialized countries (MMNCs). Wilcoxon Rank Sum Test is used to compare the explicit technological knowledge access and transfer patterns of EMNCs and MMNCs. With MMNCs as the benchmark, the comparison allows to imply the patterns and extent of technological knowledge access and transfer of EMNCs.

Findings

While subsidiary reverse knowledge transfer is largely missing, EMNCs adopt a parent-centric approach in which the parent directly accesses and transfers explicit knowledge from the external environment of host locations. In doing so, EMNCs at least partially achieve the knowledge access and transfer goals of strategic asset-seeking FDIs.

Originality/value

This study contributes to an in-depth understanding of EMNCs by empirically testing key predictions in extant EMNC literature, namely, the strategic asset-seeking in host locations and the systematic integration of accessed knowledge and resources with home country activities. This study also pioneers the use of the US patent and citation data to empirically study EMNCs.

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