Yangtao Xing, Fugang Zhai, Shengnan Li and Peng Gui
This paper aims to study the deformation mechanism of polytetrafluoroethylene (PTFE) oil seal under a wide temperature range cycle.
Abstract
Purpose
This paper aims to study the deformation mechanism of polytetrafluoroethylene (PTFE) oil seal under a wide temperature range cycle.
Design/methodology/approach
This study categorizes the oil seal operation into three states: assembly, heating-up and cooling. The deformation equation for the oil seal is developed for each state, considering the continuity between them. The investigation of the oil seal’s deformation trends and mechanisms is performed using the ANSYS Workbench.
Findings
The assembling process results in a radial shrinkage of the skeleton, causing the centroid to move toward the axis. During heating-up, the outer diameter of the skeleton slightly expands, whereas the inner diameter sharply contracts toward the axis, leading to a further reduction in the centroid’s distance from the axis. Upon cooling, both the inner and outer diameters continue to contract toward the axis, causing the centroid to persist in its movement toward the axis. Consequently, after undergoing a heating-up and cooling cycle ranging from 20°C to 180°C, the outer diameter of the PTFE oil seal reduces by 0.92 mm from its original deformation, ensuring minimal contact between the skeleton and housing. As a result of the reduced static friction torque at the skeleton, the oil seal rotates along the shaft.
Originality/value
The deformation mechanism of PTFE oil seals under a wide temperature range cycle was investigated, aiming to address the concerns related to the rotation along the shaft and leakage.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-05-2023-0142/
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Abdul Hakeem Waseel, Jianhua Zhang, Umair Zia, Malik Muhammad Mohsin and Sajjad Hussain
With ambidextrous innovation (AI) gaining paramount importance in the manufacturing sectors of emerging markets, this research aim to explore how leadership and management support…
Abstract
Purpose
With ambidextrous innovation (AI) gaining paramount importance in the manufacturing sectors of emerging markets, this research aim to explore how leadership and management support (LMS) amplify this type of innovation by leveraging knowledge sources (KS). The study further probes the knowledge management capability (KMC) as moderating effect between KS and AI.
Design/methodology/approach
Using the convenient random sampling technique of a sample of 340 professionals within Pakistan’s manufacturing realm, data was collated via a structured questionnaire. The subsequent analysis harnessed the power of the variance-based partial least squares structural equation modelling approach.
Findings
This research underscores the pivotal role of LMS in elevating both facets of AI i.e. exploitative innovation (ERI) and exploratory innovation (ERT). KS emerge as a vital intermediary factor that bridges LMS with both types of innovation. Notably, the potency of KS in driving AI is significantly boosted by an organization’s KMC.
Originality/value
This study fills existing gaps in contemporary research by offering a nuanced perspective on how LMS enrich an organization’s dual innovation spectrum via KS. It sheds light on the symbiotic interplay of leadership, knowledge flows and innovation in Pakistan’s burgeoning manufacturing sector.
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Yi-Hsin Lin, Ruixue Zheng, Fan Wu, Ningshuang Zeng, Jiajia Li and Xingyu Tao
This study aimed to improve the financing credit evaluation for small and medium-sized real estate enterprises (SMREEs). A financing credit evaluation model was proposed, and a…
Abstract
Purpose
This study aimed to improve the financing credit evaluation for small and medium-sized real estate enterprises (SMREEs). A financing credit evaluation model was proposed, and a blockchain-driven financing credit evaluation framework was designed to improve the transparency, credibility and applicability of the financing credit evaluation process.
Design/methodology/approach
The design science research methodology was adopted to identify the main steps in constructing the financing credit model and blockchain-driven framework. The fuzzy analytic hierarchy process (FAHP)–entropy weighting method (EWM)–set pair analysis (SPA) method was used to design a financing credit evaluation model. Moreover, the proposed framework was validated using data acquired from actual cases.
Findings
The results indicate that: (1) the proposed blockchain-driven financing credit evaluation framework can effectively realize a transparent evaluation process compared to the traditional financing credit evaluation system. (2) The proposed model has high effectiveness and can achieve efficient credit ranking, reflect SMREEs' credit status and help improve credit rating.
Originality/value
This study proposes a financing credit evaluation model of SMREEs based on the FAHP–EWM–SPA method. All credit rating data and evaluation process data are immediately stored in the proposed blockchain framework, and the immutable and traceable nature of blockchain enhances trust between nodes, improving the reliability of the financing credit evaluation process and results. In addition, this study partially fulfills the lack of investigations on blockchain adoption for SMREEs' financing credit.
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Jing Li, Xu Qian and Chunbao Liu
This study aims to numerically investigate the multi-phase flow and thermal physics inside gearboxes, which is critical to the theoretical analysis of energy transfer.
Abstract
Purpose
This study aims to numerically investigate the multi-phase flow and thermal physics inside gearboxes, which is critical to the theoretical analysis of energy transfer.
Design/methodology/approach
To explore the churning power losses, a three-dimensional numerical model of the gearbox is built using the RNG k–e turbulence model and three alternative moving mesh strategies (i.e. the dynamic mesh [DM], sliding mesh and immersion solid methods). The influence of the rotational speed on the transient flow field, including the oil distribution, velocity and pressure distribution and the churning losses, is obtained. Finally, the time-dependent thermo-fluid state of the gearbox is predicted.
Findings
The findings show that the global DM method is preferable for determining the flow structures and power losses. The rotational speed exerts a significant effect on the oil flow and the wheel accounts for most of the churning losses. Based on the instantaneous temperature distribution, the asymmetric configuration leads to the initial bias of the high-temperature region towards the pinion. Additionally, the heat convection efficiency of the tooth tip is slightly higher than that of the tooth root.
Originality/value
An in-depth understanding of the flow dynamics inside the gearbox is essential for its optimisation to decrease the power and enhance heat dissipation during operation.
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Bo Hu, Heng Zhou, Yubao Gui, Peng Zhai, Lihua Zhang and Zhiyan Dong
This paper aims to design a novel hybrid terrestrial-aerial robot, FlyingDog, including its modeling and implementation. By combining the complementary advantages of a quadrotor…
Abstract
Purpose
This paper aims to design a novel hybrid terrestrial-aerial robot, FlyingDog, including its modeling and implementation. By combining the complementary advantages of a quadrotor drone and a quadruped robot, FlyingDog demonstrates excellent maneuverability and high energy efficiency, showcasing great potential for applications in industrial inspection, field exploration, and search and rescue operations.
Design/methodology/approach
By integrating propellers and leg mechanisms, FlyingDog achieves hybrid motion, encompassing both aerial flight and ground movement. This paper first provides an overview of the robot’s structural design, emphasizing the minimization of interactions between the aerial and ground mechanisms while balancing the thrust-to-weight ratio and payload capacity. A distributed control framework is then proposed to achieve the hybrid motion, alongside the development of corresponding control strategies to ensure stability during various movements.
Findings
Experiments conducted in real-world conditions validated FlyingDog’s performance in terms of motion stability, energy efficiency, and obstacle-crossing ability. The results demonstrate that FlyingDog exhibits outstanding mobility by combining ground locomotion with aerial flight capabilities, allowing it to overcome challenging obstacles in purely ground-based mode. In ground mode, the robot achieved an energy efficiency of up to 93.5%.
Originality/value
The hybrid terrestrial-aerial robot presented in this paper features stable land and aerial mobility, a lightweight structure, high energy efficiency, and low manufacturing costs, making it a valuable innovation in the field of robotics.
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Yuzhen Duan, Xiaobao Peng, Qiong Gui, Haibin Zhou, Xuehe Zhang and Wei Song
This paper aims to investigate the effect of transformational leadership (TL), behavioral integration of top management team (TMT) and team conflict on manager ambidexterity…
Abstract
Purpose
This paper aims to investigate the effect of transformational leadership (TL), behavioral integration of top management team (TMT) and team conflict on manager ambidexterity behavior.
Design/methodology/approach
Hierarchical linear modeling has been applied to test the degree of influence of TL and behavioral integration of TMT on manager ambidexterity using data collected from 60 chief executive officers (CEOs) and 322 TMT members of small- and medium-sized enterprises in the Chinese electronic commerce industry.
Findings
The results suggest the following: transformational leadership is positively associated with the behavioral integration of TMT and a high level of TMT behavioral integration strengthens the positive relationship between transformational leadership and manager ambidexterity. Also, team conflict moderates the mediating role of TMT behavioral integration in the relationship of transformational leadership to manager ambidexterity.
Research limitations/implications
First, this study does not directly test whether transformational leadership encourages a focus on manager ambidexterity, although the results on behavioral integration draw attention to the usefulness of such leadership. Second, in focusing on manager ambidexterity, this paper omits key variables, especially skills and abilities.
Practical implications
Given that several aspects of leadership can be learned and adjusted, the findings suggest that organizations can improve their individual ambidexterity by helping the CEOs develop and display transformational leadership through training and mentoring. TMTs were found to rely mostly on the behavioral integration approach (collaborative behavior, quality of information exchange and joint decision-making) and team conflict management. Such reliance, in turn, predicts effective team behavioral coordination and subsequent manager ambidexterity.
Originality/value
First, this study goes beyond the current research that focuses primarily on ambidexterity at the inter-organizational alliance, firm and business unit levels. This earlier research lacks a conceptually and empirically validated understanding of ambidexterity at the level of the manager. In contrast, by investigating and examining the antecedents of manager ambidexterity behavior, the study develops an individual perspective to elucidate the ambidextrous mechanisms. Second, the study also contributes by explaining how transformational leadership relates to manager ambidexterity. To date, only limited research has disentangled how transformational leaders enhance managers’ teamwork (e.g. behavioral integration) and how such leaders affect the ambidextrous orientation of managers.
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Maroua Ghali and Nizar Aifaoui
This study aims to develop an optimal tolerance allocation strategy involves integrating the unique transfer (UT) approach and the difficulty coefficient evaluation (DCE) routine…
Abstract
Purpose
This study aims to develop an optimal tolerance allocation strategy involves integrating the unique transfer (UT) approach and the difficulty coefficient evaluation (DCE) routine in an interactive hybrid method. This method combines the strengths of both UT and DCE, ensuring simultaneous utilization for enhanced performance. The proposed tolerancing model manifests an integrated computer-aided design (CAD) tool.
Design/methodology/approach
By combining UT and DCE based on failure mode, effects and criticality analysis (FMECA) tool and the Ishikawa diagram, the proposed collaborative hybrid tool ensures an efficient and optimal tolerance allocation approach. The integration of these methodologies not only addresses specific transfer challenges through UT but also conducts a thorough evaluation of difficulty coefficients via DCE routine using reliability analysis tools as FMECA tool and the Ishikawa diagram. This comprehensive framework contributes to a robust and informed decision-making process in tolerance allocation, ultimately optimizing the design and manufacturing processes.
Findings
The presented methodology is implemented with the aim of generating allocated tolerances that align with specific difficulty requirements, facilitating the creation of a mechanical assembly characterized by high quality and low cost. To substantiate and validate the conceptual framework and methods, an integrated tool has been developed, featuring a graphical user interface (GUI) designed in MATLAB. This interface serves as a platform to showcase various interactive and integrated tolerance allocation approaches that adhere to both functional and manufacturing prerequisites. The proposed integrated tool, designed with a GUI in MATLAB, offers the capability to execute various examples that effectively demonstrate the benefits of the developed tolerance transfer and allocation methodology.
Originality/value
The originality of the proposed approach is the twining between the UT and DCE simultaneous in an integrated and concurrent tolerance transfer and allocation model. Therefore, the proposed approach is named an integrated CAD/tolerance model based on the manufacturing difficulty tool. The obtained results underscore the tangible advantages stemming from the integration of this innovative tolerance transfer and allocation approach. These benefits include a notable reduction in total cost and a concurrent enhancement in product quality.
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How is strategic consensus formed in top management team (TMT)? Prior literature provides inadequate evidence. A few scholars explore its antecedents from some perspectives (e.g…
Abstract
Purpose
How is strategic consensus formed in top management team (TMT)? Prior literature provides inadequate evidence. A few scholars explore its antecedents from some perspectives (e.g. organizational or team structure) to address this gap but yield confusing results. This study aims to clarify the mechanism to reach TMT strategic consensus and explore both the effect of collective team identification and information elaboration.
Design/methodology/approach
Stepwise regression analysis is applied to explore the formation process of strategic consensus by using data collected from 126 TMTs of Chinese firms.
Findings
Results show that collective team identification has a positive effect on TMT strategic consensus, whereas information elaboration has a U-shaped effect. Further, the U-shaped relationship between information elaboration and TMT strategic consensus is strengthened by collective team identification.
Originality/value
This study provides a nuanced explanation of the antecedents of strategic consensus in TMT by exploring the effects of collective team identification and information elaboration. Particularly, this study proposes a U-shaped relationship between information elaboration and strategic consensus, which enriches TMT decision-making literature and consensus research. Moreover, by examining the moderating effect of collective team identification, this study articulates why TMT members fail to achieve strategic consensus even when they have sufficiently discussed the task-relevant information.
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Shoucheng OuYang, Taoy‐Yong Peng, Tian‐Gui Xiao, Yi Lin and Jinhai Miao
After many years’ practice and experiments, it was found that quantitative analysis systems with unequal quantitative effect cannot be extended into that with equal quantitative…
Abstract
After many years’ practice and experiments, it was found that quantitative analysis systems with unequal quantitative effect cannot be extended into that with equal quantitative effect. While it is related to such epistemological viewpoints as irregularity and continuity systems, an infrastructural form comparison has shown universally scientific and methodological characteristics. In combination with evolution of weather systems, our infrastructural analysis involves applications of super low temperatures, reversed information order, rolling currents infrastructure in reversal weather change and long‐term weather forecasting.