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1 – 10 of 12Qin Qin, Zu-huai Wu, Yong Zang, Ben Guan and Jinxin Zhang
This study aims to reduce the warping deformation of the stainless composite plate after removal strake by using a finite element method. A three-dimensional thermo-mechanical…
Abstract
Purpose
This study aims to reduce the warping deformation of the stainless composite plate after removal strake by using a finite element method. A three-dimensional thermo-mechanical coupled elastic-plastic finite element model has been suggested by using ABAQUS to simulate the multi-pass hot rolling of stainless composite plate.
Design/methodology/approach
A three-dimensional thermo-mechanical coupled elastic-plastic finite element model has been suggested by using ABAQUS to simulate the multi-pass hot rolling of stainless composite plate. Warping deformation rules of 316L/Q345R stainless composite plate after removal strake have been analyzed. Moreover, the influences of some different rolling parameters on this deformation have been discussed.
Findings
The warping deformation just varies in the range of cladding ratio from 0.1 to 0.25. Therefore, cladding ratio does not have a great influence on warping deformation.
Originality/value
The results show that higher heating temperature, larger final thickness and less rolling passes are beneficial for reducing the warping deformation.
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Heping Liu, Jinxin Lu, Fusheng Zhu and Ani Luo
This study proposes a tensegrity-based traction structure with D-bar dual cable units. It is used to connect the airship and the ground to stabilize the airship.
Abstract
Purpose
This study proposes a tensegrity-based traction structure with D-bar dual cable units. It is used to connect the airship and the ground to stabilize the airship.
Design/methodology/approach
The mathematical models and dynamic models of the D-bar dual cable (hereafter referred to as DD cable) unit of the tensegrity-based traction structure are established. Based on the minimum mass method, the mass of the DD cable unit in the critical state (cable member is yielding, or bar member is buckling or yielding) is analyzed. Then, the tensile strength of the DD cable unit and single cable unit under the same condition is compared using the control variate method. Finally, based on ANSYS dynamic simulation, the stability of the two structures under the same external force disturbance was tested.
Findings
Expressions for the minimum mass of the DD cable unit under different failure conditions are solved. Dynamic simulation results show that the capacity of resisting disturbance of the DD cable unit is much better than that of the single cable unit under the same wind speed. So, we find a structure more suitable for the fixed connection of an airship.
Originality/value
This study helps to provide theoretical reference and thinking for the practical application of the traction structure with a D-bar dual cable unit.
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Keywords
Mengge Li and Jinxin Yang
As the primary decision makers, chief executive officers (CEOs) play pivotal roles in firm innovation. However, little is known regarding how CEOs influence the exploitation and…
Abstract
Purpose
As the primary decision makers, chief executive officers (CEOs) play pivotal roles in firm innovation. However, little is known regarding how CEOs influence the exploitation and exploration paradox. To advance theory and research, the purpose of this paper is to investigate the joint effects of CEO tenure and CEO–chair duality on a firm’s shifting emphasis between exploitative and exploratory innovation.
Design/methodology/approach
This paper takes the approach of a longitudinal sample of 81 US pharmaceutical firms.
Findings
As CEOs’ tenure advance, their firms’ percentage of exploitative innovation increases. Furthermore, non-duality (separation of board chair and CEO) further strengthens the positive relationship between CEO tenure and the percentage of exploitative innovation.
Research limitations/implications
This study integrates upper echelons theory and behavioral agency theory to juxtapose the effects of CEOs on technological innovation. This study extends knowledge of strategic leadership and innovation by showing that CEOs influence the balance between exploitative and exploratory innovation. Furthermore, this study also contributes to the corporate governance literature by demonstrating that monitoring vigilance could inhibit capable CEOs from pursuing more exploratory innovation.
Practical implications
Boards of directors should allow CEOs to have greater discretion over innovation, and vigilant monitoring and control may force CEOs to focus less on exploration.
Originality/value
This is one of the few studies that explicitly investigate how CEO influences a firm’s emphasis on exploitative innovation and exploratory innovation.
Details
Keywords
Ying Guo, Qinghe Han, Jinxin Wang and Xu Yu
Localization is one of the critical issues in Ocean Internet of Things (OITs). The existing research results of localization in OITs are very limited. It poses many challenges due…
Abstract
Purpose
Localization is one of the critical issues in Ocean Internet of Things (OITs). The existing research results of localization in OITs are very limited. It poses many challenges due to the difficulty of deploy beacon accurately, the difficulty of transmission distance estimation in harsh ocean environment and the underwater node mobility. This paper aims to provide a novel localization algorithm to solve these problems.
Design/methodology/approach
This paper takes the ship with accurate position as a beacon, analyzes the relationship between underwater energy attenuation and node distance and takes them into OITs localization algorithm design. Then, it studies the movement regulation of underwater nodes in the action of ocean current, and designs an Energy-aware Localization Algorithm (ELA) for OITs.
Findings
Proposing an ELA. ELA takes the ship with accurate position information as a beacon to solve the problem of beacon deployment. ELA does not need to calculate the information transmission distance which solves the problem of distance estimation. It takes underwater node movement regulation into computation to solve the problem of node mobility.
Originality value
This paper provides an ELA based on the relationship between propagation energy attenuation and node distance for OITs. It solves the problem of localization in dynamic underwater networks.
Details
Keywords
Delin Chen, Yan Chen and Jinxin Chen
This paper aims to analyze the characteristics of friction vibration signals and identify the vibration excitation source at the start and stop stage of microtextured end face of…
Abstract
Purpose
This paper aims to analyze the characteristics of friction vibration signals and identify the vibration excitation source at the start and stop stage of microtextured end face of dry gas seals.
Design/methodology/approach
The friction pair consists of a diamond-like carbon (DLC) film microtextured seal ring and a spiral groove seal ring. Friction vibration signal feature extraction method based on harmonic wavelet packet and spectrum analysis was proposed. Signals were collected using acceleration sensor, acquisition card and LabVIEW software. Vibration acceleration signal was decomposed into 32 frequency bands using MATLAB wavelet packet transformation. The 32nd band coefficient was extracted for reconstruction, time-domain and spectral waveforms were obtained and spectra before/after denoising were compared.
Findings
The end face of the DLC film microtextured seal ring generates a good dynamic pressure effect, and the friction and vibration reduction effects are obvious. The harmonic wavelet packet can decompose the vibration signal conveniently and precisely. In the case of this experiment, the frequency of vibration of the seal ring is 7500 HZ.
Originality/value
The results show that the method is effective for the processing of friction vibration signal and the identification of vibration excitation source. The findings will provide ideas for the frictional vibration signal processing and basis for further research in the field of tribology of dry gas seal ring.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-03-2024-0084/
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Mengge Li and Jinxin Yang
By integrating perspectives from the resource-based view, attention-based view, upper echelon theory and competitive dynamics (CD), the authors seek to understand how chief…
Abstract
Purpose
By integrating perspectives from the resource-based view, attention-based view, upper echelon theory and competitive dynamics (CD), the authors seek to understand how chief executive officer (CEO) vigilance influences the way resources are utilized in relation to competitive behavior.
Design/methodology/approach
This study's empirical analysis is conducted using a longitudinal design in the US software and IT services industry with a final sample consisting of 44 publicly traded firms and 471 firm-year observations from 1995 to 2009. The authors respectively use the fixed-effects negative binomial model and generalized estimating equation (GEE) model to test the effects of technology resource breadth on competitive intensity and competitive deviance and the interacting effects with CEO attention broadness and uniqueness.
Findings
This study's results show that CEO vigilance (attention broadness and uniqueness) interacts with technology resource breadth to jointly influence competitive intensity and deviance. Firms with vigilant CEOs utilize firm resources to compete less intensively but in an unconventional way.
Practical implications
This study reveals that when CEOs have a broader focus and attend to a wide range of information, their ability to quickly utilize firm resources for formulating competitive actions decreases. Consequently, it is crucial for CEOs to acknowledge the limitations of their attentional capacity. They need to understand that the allocation of their attention and information processing capacity has significant implications for the speed and quality of their decision-making processes.
Originality/value
The authors conceptualize and operationalize CEO vigilance, which is a novel construct that has not been studied. The authors show that CEO vigilance plays critical roles in utilizing resources to compete. This study offers significant research implications for attention-based view, upper-echelons theory, CD perspective and resource-based view.
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Yanjin Lu, Yiliang Gan, Junjie Lin, Sai Guo, Songquan Wu and Jinxin Lin
The aim of the study is to obtain dense Ni-free CoCrW parts fabricated by selective laser melting (SLM) technique for dental application.
Abstract
Purpose
The aim of the study is to obtain dense Ni-free CoCrW parts fabricated by selective laser melting (SLM) technique for dental application.
Design/methodology/approach
The optimum of processing CoCrW powders was investigated by the varying laser scanning speeds between 200 and 1,500 mm/s with the other parameters fixed as constants. The investigations of density, phase, mechanical property and corrosion resistance were conducted.
Findings
It was found that a maximum relative density of 99.4 per cent was obtained with the preferable laser scanning speed of 700 mm/s; the outcome from the tensile test suggested that the 0.2 per cent yield strength of the specimen fabricated at 700 mm/s satisfied the type 5 criteria in ISO22764 for dental application, whereas the electrochemical test indicated that the specimens fabricated at 700 mm/s existed excellent corrosion resistance. The high precision dental denture could be fabricated by SLM.
Originality/value
In the study, the Ni-free CoCrW parts fabricated by SLM was investigated by the tensile and electrochemical tests. The yield strength, corrosion resistance and margin fit accuracy met requirements for dental application. It was considered that the speed of 700 mm/s with the laser powers of 95 W, the track width of 0.11 mm and the layer thickness of 25 μm are promising candidates for fabricating the CoCrW parts.
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Keywords
Jinxin Liu, Hui Xiong, Tinghan Wang, Heye Huang, Zhihua Zhong and Yugong Luo
For autonomous vehicles, trajectory prediction of surrounding vehicles is beneficial to improving the situational awareness of dynamic and stochastic traffic environments, which…
Abstract
Purpose
For autonomous vehicles, trajectory prediction of surrounding vehicles is beneficial to improving the situational awareness of dynamic and stochastic traffic environments, which is a crucial and indispensable element to realize highly automated driving.
Design/methodology/approach
In this paper, the overall framework consists of two parts: first, a novel driver characteristic and intention estimation (DCIE) model is built to indicate the higher-level information of the vehicle using its low-level motion variables; then, according to the estimation results of the DCIE model, a classified Gaussian process model is established for probabilistic vehicle trajectory prediction under different motion patterns.
Findings
The whole method is later applied and analyzed in the highway lane-change scenarios with the parameters of models learned from the public naturalistic driving data set. Compared with other traditional methods, the performance of this proposed approach is proved superior, demonstrated by the higher accuracy in the long prediction horizon and a more reasonable description of uncertainty.
Originality/value
This hierarchical approach is proposed to make trajectory prediction accurately both in the short term and long term, which can also deal with the uncertainties caused by the perception system or indeterminate vehicle behaviors.
Details
Keywords
Jinxin Liu, Huanqin Wang, Qiang Sun, Chufan Jiang, Jitong Zhou, Gehang Huang, Fajun Yu and Baolin Feng
This study aims to establish a multi-physics-coupled model for an electrostatic particulate matter (PM) sensor. The focus lies on investigating the deposition patterns of…
Abstract
Purpose
This study aims to establish a multi-physics-coupled model for an electrostatic particulate matter (PM) sensor. The focus lies on investigating the deposition patterns of particles within the sensor and the variation in the regeneration temperature field.
Design/methodology/approach
Computational simulations were initially conducted to analyse the distribution of particles under different temperature and airflow conditions. The study investigates how particles deposit within the sensor and explores methods to expedite the combustion of deposited particles for subsequent measurements.
Findings
The results indicate that a significant portion of the particles, approximately 61.8% of the total deposited particles, accumulates on the inside of the protective cover. To facilitate rapid combustion of these deposited particles, a ceramic heater was embedded within the metal shielding layer and tightly integrated with the high-voltage electrode. Silicon nitride ceramic, selected for its high strength, elevated temperature stability and excellent thermal conductivity, enables a relatively fast heating rate, ensuring a uniform temperature field distribution. Applying 27 W power to the silicon nitride heater rapidly raises the gas flow region's temperature within the sensor head to achieve a high-temperature regeneration state. Computational results demonstrate that within 200 s of heater operation, the sensor's internal temperature can exceed 600 °C, effectively ensuring thorough combustion of the deposited particles.
Originality/value
This study presents a novel approach to address the challenges associated with particle deposition in electrostatic PM sensors. By integrating a ceramic heater with specific material properties, the study proposes an effective method to expedite particle combustion for enhanced sensor performance.
Details
Keywords
Qian Zhou, Shuxiang Wang, Xiaohong Ma and Wei Xu
Driven by the dual-carbon target and the widespread digital transformation, leveraging digital technology (DT) to facilitate sustainable, green and high-quality development in…
Abstract
Purpose
Driven by the dual-carbon target and the widespread digital transformation, leveraging digital technology (DT) to facilitate sustainable, green and high-quality development in heavy-polluting industries has emerged as a pivotal and timely research focus. However, existing studies diverge in their perspectives on whether DT’s impact on green innovation is synergistic or leads to a crowding-out effect. In pursuit of optimizing the synergy between DT and green innovation, this paper aims to investigate the mechanisms that can be harnessed to render DT a more constructive force in advancing green innovation.
Design/methodology/approach
Drawing from the theoretical framework of resource orchestration, the authors offer a comprehensive elucidation of how DT intricately influences the green innovation efficiency of enterprises. Given the intricate interplay within the synergistic relationship between DT and green innovation, the authors use the fuzzy-set qualitative comparative analysis method to explore diverse configurations of antecedent conditions leading to optimal solutions. This approach transcends conventional linear thinking to provide a more nuanced understanding of the complex dynamics involved.
Findings
The findings reveal that antecedent configurations fostering high green innovation efficiency actually differ across various stages. First, there are three distinct configuration patterns that can enhance the green technology research and development (R&D) efficiency of enterprises, namely, digitally driven resource integration (RI), digitally driven resource synergy (RSy) and high resource orchestration capability. Then, the authors also identify three configuration patterns that can bolster the high green achievement transfer efficiency of enterprises, including a digitally optimized resource portfolio, digitally driven RSy and efficient RI. The findings not only contribute to advancing the resource orchestration theory in the digital ecosystem but also provide empirical evidence and practical insights to support the sustainable development of green innovation.
Practical implications
The findings can offer valuable insights for enterprise managers, providing decision-making guidance on effectively harnessing the innovation-driven value of internal and external resources through resource restructuring, bundling and leveraging, whether with or without the support of DT.
Social implications
The research findings contribute to heavy-polluting enterprises addressing the paradoxical tensions between digital transformation and resource constraints under environmental regulatory pressures. It aims to facilitate the simultaneous achievement of environmental and commercial success by enhancing their green innovation capabilities, ultimately leading to sustainability across profit and the environment.
Originality/value
Compared with previous literature, this research introduces a distinctive theoretical perspective, the resource orchestration view, to shed light on the paradoxical relationship on resource-occupancy between DT application and green innovation. It unveils the “black box” of how digitalization impacts green innovation efficiency from a more dynamic resource-based perspective. While most studies regard green innovation activities as a whole, this study delves into the impact of digitalization on green innovation within the distinct realms of green technology R&D and green achievement transfer, taking into account a two-stage value chain perspective. Finally, in contrast to previous literature that predominantly analyzes influence mechanisms through linear impact, the authors use configuration analysis to intricately unravel the complex influences arising from various combinatorial relationships of digitalization and resource orchestration behaviors on green innovation efficiency.
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