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This paper aims to investigate the lubrication characteristics of siliconized graphite with a wavy-tilt-dam (WTD) pattern applied to the hydrodynamic face seals.

It focuses on two friction pairs, carbon graphite versus tungsten carbide (CG-TC) and siliconized graphite versus siliconized graphite (SG-SG), through a three-dimensional elastic hydrodynamic lubrication numerical model that integrates finite difference method and finite element method. The consequence of axial elastic deformation of sealing pair materials on film thickness, film pressure, cavitation and sealing performance for a WTD mechanical face seal under full working conditions of ΔP = 0.8, 5.3 and 15.8 MPa are analyzed theoretically.

The nuclear hydrodynamic WTD face seal generates a convergent gap and exhibits a dual-characteristic behavior of hydrodynamic and hydrostatic effects under various ΔP. Compared to the CG-TC, the SG-SG shows a lower minimum film thickness, decreasing by 3.9%, 17.3% and 35.1%. The flow leakage rate decreases by 47.8%, 52.1% and 75.4%. In addition, the film stiffness increases by 46.8%, 49.8% and 97.8%. Thus, the SG-SG better deals with the dynamic tracking problem, and the sealing performance is stable. The strength and hardness of siliconized graphite enhance WTD sealing performance and improve cavitation control in high-pressure applications.

The lubrication characteristics of the siliconized graphite with a WTD pattern could inform the future design of hydrodynamic shallow groove wavy seals in boiler feedwater engineering implements under high-pressure conditions for the nuclear power industry.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-10-2024-0382/

In this paper, the dynamical properties and analytic solutions of the coupled Drinfel’d–Sokolov–Wilson equation with a conformal derivative are studied by the complete discrimination system for the polynomial method. Not only are the Hamiltonian and topological properties of this equation are presented, but also all exact traveling wave solutions are found.

The complete discrimination system for the polynomial method serves as the cornerstone of the analytical approach, facilitating both the analysis of dynamic properties and the derivation of exact solutions for the equation under study.

The study shows that by adjusting specific parameters, various classified solutions such as rational function solutions, solitary wave solutions and periodic function solutions can be realized in practical applications. Furthermore, numerical analysis shows that the introduction of different external perturbation terms in the coupled Drinfel’d–Sokolov–Wilson equations with conformal derivative can confirm the presence of chaotic behaviors.

The coupled Drinfel’d–Sokolov–Wilson equation is analyzed qualitatively and quantitatively using the same method. Firstly, the dynamical system is analyzed qualitatively using a third-order discriminant system to predict the type of solutions. Then, use a fourth-order discriminant system to solve the exact solutions and maintain parameter consistency. This method ensures that the results of qualitative and quantitative analysis are achieved under the same set of parameters, thereby improving the coherence and reliability of the research.

This study aims to analyze the status and application/use of human–computer interaction (HCI) in libraries by conducting a systematic literature review (SLR).

A Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) approach was used to search Scopus, Web of Science and Google Scholar databases. The search criteria included research studies published in English language between 2010 and 2021, which were 4,167 citations. Out of 4,167 citations, a total of 50 studies were selected for the final analysis.

The results showed a positive attitude of librarians toward HCI applications in libraries worldwide. The results depict that one-third (30%) of the studies were conducted in the USA, followed by four (8%) studies in China. Out of 50 studies, a portion of 15 (30%) studies were based on digital libraries, followed by seven (14%) studies on academic libraries and five (10%) studies on libraries and their websites. HCI was used for searching and retrieving information, users’ interaction, authentication, online help/support, feedback, library web access, web OPAC, virtual access to resources, indigenous repository and virtual services. The most productive year was 2015, and journal of The Electronic Library had more articles on HCI than other journals.

The findings of this study could assist policymakers and library authorities in reconciling the HCI application in libraries for providing effective and efficient access and services to end-users.

This study is unique as no comprehensive study has been conducted on the use of HCI in librarianship using the SLR method.

The process of conveyance of solid–liquid mixtures poses a significant challenge due to the considerable wear and tear experienced by critical components. This issue not only affects the lifespan of the system but also jeopardizes its safe operation. The purpose of this study is to numerically and experimentally investigate the erosion wear behavior of impeller steels (SS-410 and S-317) using Computational Fluid Dynamics (CFD) and Design of Experiments (DOE) techniques, aiming to address the significant challenges posed by wear in slurry transportation systems.

In this study, a robust two-phase solid-liquid model combining CFD with Discrete Phase Modeling (DPM) was applied to simulate the effects of coal-ash slurries on impeller steel. Additionally, an experimental evaluation was conducted using the DOE approach to analyze the impact of various parameters on impeller steel. This integrated methodology enabled a comprehensive analysis of erosion wear behavior and the influence of multiple factors on impeller durability by leveraging CFD for fluid flow dynamics and DPM to model particle interactions with the steel surface.

Simulation results highlight a strong link between particle size and the wear life of impeller steel. Through simulations and experiments on SS-410 and SS-317 under varied conditions, it’s evident that SS-410 outperforms SS-317 due to its higher hardness and density. This is supported by Taguchi’s method, with SS-410 showing a higher Signal-to-Noise ratio. Notably, particle size emerges as the most influential parameter compared to others.

Current research primarily focuses on either CFD or experimentation to predict pump impeller steel erosion wear, lacking relevant erosion mechanism insights and experimental data. This study bridges this gap by employing both CFD and DPM methods to comprehensively investigate particle effects on pump impeller steel and elucidate erosion mechanisms.

This study aims to develop a chain-mediated model to examine how streamer and product characteristics influence consumer behavior inertia (CBI) based on an extended cognitive-affective-conative (CAC) perspective.

This study used an online survey concerning the livestreaming activities of 250 experienced shoppers to measure the proposed model.

Streamer (product) attractiveness mediates the relationship between streamer (product) characteristics and shopping experience memory. Streamer (product) attractiveness and shopping experience memory have a chain mediating effect between the streamer (product) characteristics and CBI.

Theoretically, the study demonstrates the critical role of attractiveness and shopping experience memory in the formation of consumer inertia and complements current explanations of consumer continuance of buying through livestreaming. From a managerial standpoint, the findings provide guidelines for enterprises carrying out livestreaming business on how to improve inertia to realize a stable profit source.

This study investigates the influence of theory of planned behavior (TPB) constructs on the intention to purchase sustainable clothing with the mediating role of attitude and the moderating role of materialism. Moreover, the serial mediation of sustainability as fashion (SF) and attitude has been examined between materialism and intention.

Data have been collected through the distribution of a structured questionnaire through mass emailing to the faculty, students and staff of a mid-sized university in the United States. Seven-point Likert-type items were adapted from established scales to measure the variables of the study. About 603 responses have been collected for further analysis. Structural equation modeling has been conducted to test the hypotheses of the study.

The components of the TPB framework have a significant effect on the intention to purchase sustainable clothing. The most significant predictor is perceived behavioral control (PBC), followed by attitude and subjective norm (SN). Materialism has no significant effect on the attitude toward sustainable clothing. SF has a significant effect on the attitude toward the purchase of sustainable clothing. The relationship between SF and intention has been partially mediated by attitude. Moreover, SF and attitude sequentially mediate the impact of materialism on the intention to purchase sustainable clothing.

The study extends the TPB model with a construct, which is SF. The mediating role of attitude between SF and intention to purchase sustainable clothing has been examined. Serial mediation has been applied to investigate the impact of materialism on intention to purchase sustainable clothing through SF and attitude.

Built asset management processes require a long transition period to collect, edit and update asset conditions information from existing data sets. This paper aims to explore and explain whether and how digital technologies, including asset information model (AIM), Internet of Things (IoT) and blockchain, can enhance asset conditions assessment and lead to better asset management.

Mixed methods are applied to achieve the research objective with a focus in universities. The questionnaire aims to test whether the integration of AIM, IoT and blockchain can enhance asset condition assessment (ACA). Descriptive statistical analysis was applied to the quantitative data. The mean, median, mode, standard deviation, variance, skewness and range of the data group were calculated. Semi-structured interviews were designed to answer how the integration of AIM, IoT and blockchain can enhance the ACA. Quantitative data was analysed to define and explain the essential factors for each sub-hypothesis. Meanwhile, to strengthen the evaluation of the research hypothesis, the researcher also obtained secondary data from the literature review.

The research shows that the integration of AIM, IoT and blockchain strongly influences asset conditions assessment. The integration of AIM, IoT and blockchain can improve the asset monitoring and diagnostics through its life cycle and in different aspects, including financial, physical, functional and sustainability. Moreover, the integration of AIM, IoT and blockchain can enhance cross-functional collaboration to avoid misunderstandings, various barriers and enhance trust, communication and collaboration between the team members. Finally, costs and risk could be reduced, and performance could be increased during the ACA.

The contribution of this study indicated that the integration of AIM, IoT and blockchain application in asset assessment could increase the efficiency, accuracy, stability and flexibility of asset assessment to ensure the reliability of assets and lead to a high-efficiency working environment. More importantly, a key performance indicator for ACA based on the asset information, technology and people experience could be developed gradually.

This study can break the gap between transdisciplinary knowledge to improve the integration of people, technology (AIM, IoT and blockchain) and process value-based ACA in built asset management within universities.

When the bearing operates under static load, the lubrication state of the bearing can be well distinguished by the absolute value of the thermoelectric potential. However, when the bearing operates under dynamic loads, the thermoelectric potential is in an alternating state, fluctuating within a high range, making it difficult to straightforwardly characterize the lubrication state through thermoelectric potential. The purpose of this paper is to find the relationship between the thermoelectric potential and the lubrication state under dynamic load.

A thermoelectric simulation is executed using COMSOL Multiphysics to calculate the relationship between thermoelectric potential, load, oil film thickness, oil film pressure and contact pressure. Based on the test rig experimental data, the characteristics of thermoelectric potential in journal bearings under different dynamic loads and operation conditions are investigated and analyzed using feature extraction, clustering and indicator construction methods.

The results showed that the low potential percentage and the percentage of bad operation state cluster can effectively characterize the lubrication state of journal bearings under dynamic load conditions. Specifically, in this experiment, when the low potential percentage reaches 15% and the bad operation state cluster dominates most of the time, it indicates that the bearing is in a poor lubrication state. The results of scanning electron microscopy and energy-dispersive X-ray spectroscopy of bearing specimens under different operation states also validated the above analytical results.

The relationships elucidating the thermoelectric and tribological interactions under dynamic load remain unclear and there is still no efficient method to estimate the lubrication state using thermoelectric potential in previous studies. This paper used simulation and experimental analysis methods to find the relationship between the thermoelectric potential and the lubrication state under dynamic load.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-11-2024-0410/

The purpose of this paper is to study the corrosion behavior of Q235 steel in saturated acidic red and yellow soils.

The corrosion behavior of Q235 steel in saturated red and yellow soils was compared by weight-loss, SEM/EDS, 3D ultra-depth microscopy and electrochemical measurements.

R_p of the steel gradually increases and i_corr gradually decreases in both the red and yellow soils with time. The R_p of the steel in the red soil is lower, but its i_corr is higher than that in the yellow soil. The uniform corrosion rate, diameter and density of the corrosion pit on the steel surface in the red soil are greater than those in the yellow soil. Lower pH, higher contents of corrosive anions and high-valence Fe oxides in the red soil are responsible for its higher corrosion rates and local corrosion susceptibility.

This paper investigates the difference in corrosion behavior of carbon steel in saturated acidic red and yellow soils, which can help to understand the mechanism of soil corrosion.

This study aims to examine the relationship between managerial ability and innovation efficiency, the mediating effect of digital transformation and the moderating effect of internal control.

This study collected A-share manufacturing listed companies in China from 2008 to 2019 and analyzed the data by means of multiple regression analysis, mediating effect test, moderating effect test and heterogeneity test. Finally, the authors conducted robustness test by remeasuring key variables and adding control variables.

The empirical results show that the higher managerial ability can improve innovation efficiency, internal control has a positive moderating effect and digital transformation plays a partial mediating effect on the relationship between managerial ability and innovation efficiency. Specially, it is found that the mediating effect of digital transformation is not significant in non-state-owned firms.

This study suggests that it is necessary to focus on the managerial ability in terms of both cultivation and supervision, to further deepen the digital transformation from the aspects of firms, government and society, especially to support the digital transformation of non-state-owned firms, and to make efforts to improve the corporate governance mechanism and internal control system, so as to better comprehensively realize the improvement of enterprise innovation efficiency.

Based on the mediating effect analysis of digital transformation and the moderating effect analysis of internal control, this study explores the role of managerial ability on innovation efficiency from a new perspective, expanding the related theoretical framework and research boundaries.