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1 – 10 of over 3000
Article
Publication date: 5 May 2021

Pedram Parandoush, Palamandadige Fernando, Hao Zhang, Chang Ye, Junfeng Xiao, Meng Zhang and Dong Lin

Additively manufactured objects have layered structures, which means post processing is often required to achieve a desired surface finish. Furthermore, the additive…

Abstract

Purpose

Additively manufactured objects have layered structures, which means post processing is often required to achieve a desired surface finish. Furthermore, the additive nature of the process makes it less accurate than subtractive processes. Hence, additive manufacturing techniques could tremendously benefit from finishing processes to improve their geometric tolerance and surface finish.

Design/methodology/approach

Rotary ultrasonic machining (RUM) was chosen as a finishing operation for drilling additively manufactured carbon fiber reinforced polymer (CFRP) composites. Two distinct additive manufacturing methods of fused deposition modeling (FDM) and laser-assisted laminated object manufacturing (LA-LOM) were used to fabricate CFRP plates with continuous carbon fiber reinforcement. The influence of the feedrate, tool rotation speed and ultrasonic power of the RUM process parameters on the aforementioned quality characteristics revealed the feasibility of RUM process as a finishing operation for additive manufactured CFRP.

Findings

The quality of drilled holes in the CFRP plates fabricated via LA-LOM was supremely superior to the FDM counterparts with less pullout delamination, smoother surface and less burr formation. The strong interfacial bonding in LA-LOM proven to be superior to FDM was able to endure higher cutting force of the RUM process. The cutting force and cutting temperature overwhelmed the FDM parts and induced higher surface damage.

Originality/value

Overall, the present study demonstrates the feasibility of a hybrid additive and subtractive manufacturing method that could potentially reduce cost and waste of the CFRP production for industrial applications.

Article
Publication date: 5 May 2020

Hongxia Lin, Meng Zhang and Dogan Gursoy

This study aims to examine the relationship among nonverbal customer-to-customer interactions (CCIs), positive and negative emotions, customer satisfaction and loyalty intentions.

1632

Abstract

Purpose

This study aims to examine the relationship among nonverbal customer-to-customer interactions (CCIs), positive and negative emotions, customer satisfaction and loyalty intentions.

Design/methodology/approach

The conceptual model that was developed using the stimulus-organism-response theoretical framework was tested using a sample of 583 consumers.

Findings

The results show that kinesics and paralanguage positively affect customers’ positive emotions while proxemics, paralanguage and physical appearance negatively influence their negative emotions. Further, both positive and negative emotions are found to have significant impacts on customer satisfaction and loyalty intentions.

Research limitations/implications

Theoretically, this study not only contributes to the existing servicescape and customer experience literature but also expands nonverbal interaction research in the hospitality management field. However, results may have limited generalizability to other service settings and other cultural contexts.

Originality/value

This study is one of the first to investigate the impact of nonverbal CCIs on service experiences.

Details

International Journal of Contemporary Hospitality Management, vol. 32 no. 5
Type: Research Article
ISSN: 0959-6119

Keywords

Article
Publication date: 5 July 2022

Debiao Meng, Shiyuan Yang, Chao He, Hongtao Wang, Zhiyuan Lv, Yipeng Guo and Peng Nie

As an advanced calculation methodology, reliability-based multidisciplinary design optimization (RBMDO) has been widely acknowledged for the design problems of modern…

Abstract

Purpose

As an advanced calculation methodology, reliability-based multidisciplinary design optimization (RBMDO) has been widely acknowledged for the design problems of modern complex engineering systems, not only because of the accurate evaluation of the impact of uncertain factors but also the relatively good balance between economy and safety of performance. However, with the increasing complexity of engineering technology, the proposed RBMDO method gradually cannot effectively solve the higher nonlinear coupled multidisciplinary uncertainty design optimization problems, which limits the engineering application of RBMDO. Many valuable works have been done in the RBMDO field in recent decades to tackle the above challenges. This study is to review these studies systematically, highlight the research opportunities and challenges, and attempt to guide future research efforts.

Design/methodology/approach

This study presents a comprehensive review of the RBMDO theory, mainly including the reliability analysis methods of different uncertainties and the decoupling strategies of RBMDO.

Findings

First, the multidisciplinary design optimization (MDO) preliminaries are given. The basic MDO concepts and the corresponding mathematical formulas are illustrated. Then, the procedures of three RBMDO methods with different reliability analysis strategies are introduced in detail. These RBMDO methods were proposed for the design optimization problems under different uncertainty types. Furtherly, an optimization problem for a certain operating condition of a turbine runner blade is introduced to illustrate the engineering application of the above method. Finally, three aspects of future challenges for RBMDO, namely, time-varying uncertainty analysis; high-precision surrogate models, and verification, validation and accreditation (VVA) for the model, are discussed followed by the conclusion.

Originality/value

The scope of this study is to introduce the RBMDO theory systematically. Three commonly used RBMDO-SORA methods are reviewed comprehensively, including the methods' general procedures and mathematical models.

Article
Publication date: 25 October 2020

Meng Zhang, Weifang Zhang, Xiaobei Liang, Yan Zhao and Wei Dai

Crack damage detection for aluminum alloy materials using fiber Bragg Grating (FBG) sensor is a kind of structure health monitoring. In this paper, the damage index of…

Abstract

Purpose

Crack damage detection for aluminum alloy materials using fiber Bragg Grating (FBG) sensor is a kind of structure health monitoring. In this paper, the damage index of full width at half maximum (FWHM) was extracted from the distorted reflection spectra caused by the crack-tip inhomogeneous strain field, so as to explain the crack propagation behaviors.

Design/methodology/approach

The FWHM variations were also investigated through combining the theoretical calculations with simulation and experimental analyses. The transfer matrix algorithm was developed to explore the mechanism by which FWHM changed with the linear and quadratic strain. Moreover, the crack-tip inhomogeneous strain field on the specimen surface was computed according to the digital image correlation measurement during the experiments.

Findings

The experimental results demonstrated that the saltation points in FWHM curve accorded with the moments of crack propagation to FBG sensors.

Originality/value

The interpretation of reflected spectrum deformation mechanism with crack propagation was analyzed based on both simulations and experiments, and then the performance of potential damage features – FWHM were proposed and evaluated. According to the correlation between the damage characteristic and the crack-tip location, the crack-tip of the specimen could be measured rapidly and accurately with this technique.

Article
Publication date: 22 November 2022

Xuanjin Wu, Meng Zhang and Si Shi

The increasing popularity of immersive activities (e.g. immersive performing art (IPA) at tourism destinations calls for the need to understand customers’ immersive…

Abstract

Purpose

The increasing popularity of immersive activities (e.g. immersive performing art (IPA) at tourism destinations calls for the need to understand customers’ immersive experiences and its impact on their attitudes and behavioral intentions. This study aims to conceptualize customers’ interactive experience in IPA and systematically examine how interaction in IPA experience shapes customers’ word-of-mouth (WOM) intention and thus generates business values for destination managers.

Design/methodology/approach

A two-step mixed-methods approach was used. The qualitative study was adopted to identify the salient dimensions of interaction in IPA experience and develop a context-specific measurement scale. Structural equation modeling approach was applied to test the theoretical model using partial least squares 3.3.0.

Findings

The results indicated that the three dimensions of interaction in IPA experience (i.e. parasocial interaction, narrative interaction and environmental interaction) are positively related to customers’ experiences of narrative transportation and self-expansion related to the IPA, which further influence their WOM intention.

Originality/value

This study considers IPA as an emerging form of immersive tourism activities and conceptualizes its interactive nature, and contributes to the understanding of how customers’ interactive experience helps them construct meanings through narrative transportation, and offers valuable guidance for IPA designers and destination management organizations.

Details

Nankai Business Review International, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2040-8749

Keywords

Article
Publication date: 2 June 2020

Yingying Huang, Meng Zhang, Dogan Gursoy and Si Shi

Drawing from the compensation effects in social cognition theory, this study aims to investigate the interactive effects of employees’ warmth and competence and service…

1682

Abstract

Purpose

Drawing from the compensation effects in social cognition theory, this study aims to investigate the interactive effects of employees’ warmth and competence and service failure types on customer’s service recovery cooperation intention after a service failure and before service recovery is completed.

Design/methodology/approach

This study used a scenario-based experiment with a 2 (high vs low) warmth × 2 (high vs low) competence × 2 (outcome failure vs process failure) service failure between-subjects design. Data were collected using an online panel.

Findings

This study finds that employees’ low warmth and high competence in outcome failure situations and high warmth and low competence in process failure situations are most effective at increasing customers’ service recovery cooperation intention. The findings further suggest that customers’ cooperation intention is prone to tradeoffs between customers’ perceptions of employees’ warmth and competence as suggested by compensation effects in social cognition theory, such that the effectiveness of employees’ warmth (competence) is curtailed by employees’ competence (warmth).

Practical implications

The findings of this study provide insights to hospitality managers for effective service recovery management. Hospitality companies can enhance customers’ behavioral intentions by training employees to demonstrate appropriate warmth and competence combination that meet customers’ expectations for a specific failure type.

Originality/value

This study argues that customer’s service recovery cooperation intention depends on the combination of warmth and competence displayed by employees after a service failure. The expected combination of warmth and competence varies depending on the service failure context.

Details

International Journal of Contemporary Hospitality Management, vol. 32 no. 7
Type: Research Article
ISSN: 0959-6119

Keywords

Article
Publication date: 18 June 2019

Zili Zhang, Hengyun Li, Fang Meng and Yuanshuo Li

This paper aims to examine the influences of the number of hotel management responses and especially the textual similarity in hotel management responses to online reviews…

1557

Abstract

Purpose

This paper aims to examine the influences of the number of hotel management responses and especially the textual similarity in hotel management responses to online reviews on hotel online booking.

Design/methodology/approach

This study used the data from 437 hotels in New York City on Expedia. The data specifically include online reviews, management responses and real-time number of online hotel bookings, which were merged to create one dataset for this study. To calculate the management response similarity, three widely recognized text mining functions of calculating textual similarity were adopted in this model. Fixed-effect panel data model was then used to examine the influence of management response to consumer online reviews on online hotel booking volume.

Findings

The empirical results demonstrate that the number of management responses to consumer online reviews does not significantly affect hotel booking; compared to none or only one management response, or management responses with low similarity, management responses with high similarity can significantly reduce the hotel booking on Expedia.

Practical implications

This study suggests that the similarity of management responses influences customers’ hotel booking, and hotel managers should avoid providing too similar management responses.

Originality/value

First, this study, for the first time, proposes the concept of management response similarity and its measurement methods. Second, this study takes an initial attempt to empirically test the influence of response similarity on hotel booking by using secondary data online.

Details

International Journal of Contemporary Hospitality Management, vol. 31 no. 7
Type: Research Article
ISSN: 0959-6119

Keywords

Article
Publication date: 26 July 2021

Meng Zhang, Allan David Walker and Haiyan Qian

This study aims to describe and analyze an innovative mechanism of teacher-led, system-wide professional learning that has been widely adopted since the beginning of the…

Abstract

Purpose

This study aims to describe and analyze an innovative mechanism of teacher-led, system-wide professional learning that has been widely adopted since the beginning of the twenty-first century in China – the Master Teacher Studio (MTS).

Design/methodology/approach

This paper drew from policy documents, published Chinese literature relating to MTSs and personal fieldwork experience in Shanghai, Guangdong and Zhejiang province.

Findings

The article first outlines the context framing the system change, including its policy background and evolution, and then the MTS's purpose, formative process and structure. It finally examines major teacher learning activities and the leadership roles of the MTS hosts (leaders).

Research limitations/implications

This study contributed to the knowledge base of system teacher leaders and how they lead cross-school leading.

Practical implications

The MTS initiative described in this article shows the power of central system leadership to spread and embed effective teacher learning practices at schools.

Originality/value

This article provides implications for understanding and practicing teacher system leadership to support teacher professional learning in different societies.

Details

International Journal of Educational Management, vol. 35 no. 7
Type: Research Article
ISSN: 0951-354X

Keywords

Article
Publication date: 16 October 2018

Lin Feng, Yang Liu, Zan Li, Meng Zhang, Feilong Wang and Shenglan Liu

The purpose of this paper is to promote the efficiency of RGB-depth (RGB-D)-based object recognition in robot vision and find discriminative binary representations for…

Abstract

Purpose

The purpose of this paper is to promote the efficiency of RGB-depth (RGB-D)-based object recognition in robot vision and find discriminative binary representations for RGB-D based objects.

Design/methodology/approach

To promote the efficiency of RGB-D-based object recognition in robot vision, this paper applies hashing methods to RGB-D-based object recognition by utilizing the approximate nearest neighbors (ANN) to vote for the final result. To improve the object recognition accuracy in robot vision, an “Encoding+Selection” binary representation generation pattern is proposed. “Encoding+Selection” pattern can generate more discriminative binary representations for RGB-D-based objects. Moreover, label information is utilized to enhance the discrimination of each bit, which guarantees that the most discriminative bits can be selected.

Findings

The experiment results validate that the ANN-based voting recognition method is more efficient and effective compared to traditional recognition method in RGB-D-based object recognition for robot vision. Moreover, the effectiveness of the proposed bit selection method is also validated to be effective.

Originality/value

Hashing learning is applied to RGB-D-based object recognition, which significantly promotes the recognition efficiency for robot vision while maintaining high recognition accuracy. Besides, the “Encoding+Selection” pattern is utilized in the process of binary encoding, which effectively enhances the discrimination of binary representations for objects.

Details

Assembly Automation, vol. 39 no. 1
Type: Research Article
ISSN: 0144-5154

Keywords

Article
Publication date: 7 April 2022

Hongwei Yang, Yingying Wang, Meng Zhang and Lianchun Long

This paper aims to provide a symplectic conservation numerical analysis method for the study of nonlinear LC circuit.

Abstract

Purpose

This paper aims to provide a symplectic conservation numerical analysis method for the study of nonlinear LC circuit.

Design/methodology/approach

The flux linkage control type nonlinear inductance model is adopted, and the LC circuit can be converted into the Hamiltonian system by introducing the electric charge as the state variable of the flux linkage. The nonlinear Hamiltonian matrix equation can be solved by perturbation method, which can be written as the sum of linear and nonlinear terms. Firstly, the linear part can be solved exactly. On this basis, the nonlinear part is analyzed by the canonical transformation. Then, the coefficient matrix of the obtained equation is still a Hamiltonian matrix, so symplectic conservation is achieved.

Findings

Numerical results reveal that the method proposed has strong stability, high precision and efficiency, and it has great advantages in long-term simulations.

Originality/value

This method provides a novel and effective way in studying the nonlinear LC circuit.

Details

COMPEL - The international journal for computation and mathematics in electrical and electronic engineering , vol. 41 no. 5
Type: Research Article
ISSN: 0332-1649

Keywords

1 – 10 of over 3000