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Article
Publication date: 6 January 2012

Xinying Lv, Rongguo Wang, Wenbo Liu and Long Jiang

The purpose of this paper is to investigate the effect of thermal‐oxidative aging at 150°C on the mechanical properties of carbon fibre reinforced bismaleimide composites.

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Abstract

Purpose

The purpose of this paper is to investigate the effect of thermal‐oxidative aging at 150°C on the mechanical properties of carbon fibre reinforced bismaleimide composites.

Design/methodology/approach

Composites specimens after thermo‐oxidative aging at 150°C for various times (up to 1,000 h) were investigated by scanning electron microscopy (SEM) for fracture morphology, Fourier transform infrared (FTIR) spectroscopy for chemical structures, and flexural strength test and inter‐laminar shear strength (ILSS) test for mechanical properties.

Findings

The results indicated that the mechanical properties of carbon fibre/BMI composites were affected significantly by testing temperature rather than by aging time. SEM results showed that the good adhesion of fibre and matrix resulted in the better mechanical properties. The composites showed lower flexural strength and ILSS at 150°C due to the viscoelastic behaviour of matrix resin. The FTIR spectra confirmed the decomposition of crosslinked maleimide occurred just on the surface of composites during various aging times.

Research limitations/implications

Results indicated that carbon fibre/BMI composites had excellent heat resistance and aging resistance.

Practical implications

Due to their excellent thermal and mechanical properties, the carbon fibre/BMI composites show greater potential for their applications in some extreme fields such as aerospace and machine.

Originality/value

The paper investigates the relationships of the fracture morphologies of composites and chemical structures of matrix resin to the mechanical properties after thermo‐oxidative aging.

Details

Pigment & Resin Technology, vol. 41 no. 1
Type: Research Article
ISSN: 0369-9420

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Book part
Publication date: 9 July 2024

Muhammad Imran Afzal, Sanaullah Al.Azhari, Rabia Kishwer and Syed Bilawal Ali Shah

The growth of sustainable tourism has emerged as a major topic of discussion on a global scale, and the hospitality industry is playing a crucial part in the achievement of this…

Abstract

The growth of sustainable tourism has emerged as a major topic of discussion on a global scale, and the hospitality industry is playing a crucial part in the achievement of this goal. The hospitality industry in China is experiencing rapid growth, and with the assistance of artificial intelligence (AI), the country may be able to realize sustainable growth in the tourism sector. Within the context of the Chinese hospitality industry, this chapter investigated the role AI plays in promoting sustainable tourism and how the Chinese government is supporting the hospitality industry in doing so. Sustainable tourism practices increase travellers' trip experiences while protecting the environment and local people; however, China could invest more in AI technology to promote sustainable tourism, which might benefit the economy, environment and society. This chapter examines AI deployment in the Chinese hotel industry and its challenges and benefits. AI technology can increase service quality, operational efficiency and hospitality operators' competitiveness, according to the authors. AI application requires careful consideration of employee training, ethics and customer privacy.

Details

The Role of Artificial Intelligence in Regenerative Tourism and Green Destinations
Type: Book
ISBN: 978-1-83753-746-4

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Book part
Publication date: 9 July 2024

Maria Ahmed Ajaz, Aiza Saeed, Ayesha Yaseen, Aleena Syed and Muthmainnah

The tourism industry is undergoing a rapid transformation brought on by artificial intelligence (AI), which is offering a wide range of benefits to both businesses and their…

Abstract

The tourism industry is undergoing a rapid transformation brought on by artificial intelligence (AI), which is offering a wide range of benefits to both businesses and their customers. Nevertheless, this technological advancement also poses a number of difficulties for which the sector will need to find solutions. This chapter investigates the effects that artificial intelligence (AI) has had on the tourism industry in Europe, with a particular focus on how the hospitality industry has reacted to the advent of this technology. Following an overview of the tourism and hospitality industries in Europe, this chapter begins with an introduction to artificial intelligence (AI) in the tourism industry. The section on the methodology describes the various approaches to research that were utilised in this study, and the section on the conclusion summarises the findings.

Details

The Role of Artificial Intelligence in Regenerative Tourism and Green Destinations
Type: Book
ISBN: 978-1-83753-746-4

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Article
Publication date: 25 September 2019

Liangxing Shi, Xinying Yao and Wenqing Wu

The study clarifies the relationship between students’ perceptions of university support and heterogeneous entrepreneurial intentions in the Chinese context. It proposes a new…

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Abstract

Purpose

The study clarifies the relationship between students’ perceptions of university support and heterogeneous entrepreneurial intentions in the Chinese context. It proposes a new construct with the classification of growth- and independence-oriented intentions and examines the moderating role of the Chinese sense of face. This study aims to enrich entrepreneurship education research by incorporating cultural factors.

Design/methodology/approach

The study uses a questionnaire survey to examine the research hypotheses. Further, the authors collected data from 374 students from Mainland China and applied a regression analysis.

Findings

The study clarifies the positive relationship between perceived university support and growth-oriented/independence-oriented entrepreneurial intentions. Further, it proposes the differences in the moderating role of the Chinese sense of face in the relationships between entrepreneurial self-efficacy and growth- and independence-oriented intentions.

Research limitations/implications

Because of the chosen method, the study results may lack generalizability. Hence, future studies are encouraged to test the proposed hypotheses.

Practical implications

The study results have important implications for entrepreneurship education development.

Social implications

The study is conducted against the background of the “mass entrepreneurship and innovation” policy in China and combines country-specific characteristics to enrich entrepreneurial education and social entrepreneurship.

Originality/value

This study fulfills the intention to examine the influence of cultural factors on entrepreneurship education and identify the heterogeneous entrepreneurial intentions in a single construct.

Details

Journal of Entrepreneurship in Emerging Economies, vol. 12 no. 2
Type: Research Article
ISSN: 2053-4604

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