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This paper aims to clarify the principle of force measurement using the auxetic structure by studying the relationship among the force, the change of transmittance and the change of output current of the solar cell.

This paper opted for an exploratory study using combining theory with experiment. This paper analysized the theoretical model and deformation of the auxetic structure. It used a hexagon honeycomb structure as a comparison in the experiment. The experiment was conducted on a universal testing machine, and the data was obtained by a digital acquisition card. The data was analyzed without using any signal processing means.

This paper provides the linearity and the sensitivity of the proposed force measurement method. It shows a good linear relationship between the input and output of this method and good sensitivity, stability and repeatability without using any signal processing means.

This paper provides new structural insights for force sensors and presents future research directions.

This paper aims to present the theoretical and experimental investigation of the temperature of high speed and heavy haul tilting pad journal bearing.

The bearing is 152.15 mm in diameter with three slenderness ratios (L/D) and three clearance ratios. The equations that govern the flow and energy transport are solved by the finite difference method, and the experimental tests are conducted in a test rig of high speed and heavy haul tilting pad journal bearing. The shaft speed ranges from 3,000 to 16,500 r/min (the highest linear-velocity equals 131.4 m/s), and the three static loads are 10, 20 and 30 KN.

The comparisons between numerical results and experimental results show better correlations. It is shown in the theoretical and experimental results that the temperature increases with static load and shaft speed and decreases with clearance ratio and L/D.

The theoretical models presented in this paper can be used to predict the temperature of tilting pad journal bearing when the shaft’s linear velocity is up to 130 m/s.

This paper aims to enhance lubrication performance of the pitcher plant–like textured surface with various parameters.

A pitcher plant–like structure surface is fabricated on the copper alloy, and the lubrication performance of the pitcher plant–like structure with various parameters is evaluated. In addition, the pressure distribution and oil film load capacity of the pitcher plant–like surface are simulated based on Navier–Stokes equations.

When the direction of motion aligns with the pitcher plant–like structure, the friction coefficient remains lower than that of the nontextured surface, and it exhibits a decreasing trend with the increasing of the texture width and spacing distance; the lowest friction coefficient (0.04) is achieved with B = 0.3 mm, L = 1.0 mm and θ = 45°, marking a 75% reduction compared to the nontextured surface. Simulation results demonstrate that with the increase in texture width and spacing distance, the oil film load-bearing capacity demonstrates an increasing trend.

Bionic pitcher plants are prepared on the copper alloy to improve the lubrication performance and wear resistance.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-04-2024-0119/

Data has become one of the most significant instruments in e-commerce innovation. Benefits to the entire society can be summarized as following: from the government’s perspective - to assess the impact of e-commerce to the economy; for merchants - to understand consumers’ needs; and for consumers - to be offered with the right product he/she is looking for. The digital revolution in the past five years has shown the need to offer more differentiated services than the physical stores, when consumers are not able to try and touch products. It is for this reason that e-commerce has continuously developed and transformed Research Online, Purchase Offline into a true experience. Considering the future of e-commerce is to enhance economic development and growth, this research will discuss the disruption of Research and Development through big data. The core objective of this research is to propose a predictive model to deeply understand consumer behavior by analyzing new regulations and transaction records.

Corporate social responsibility (CSR) practices frequently result in increased costs for Chinese international contractors (CICs), where profitability is the primary objective; therefore, internal corporate drivers and external pressures play a crucial role in encouraging them to engage in sustainable CSR practices. This study systematically examines the dynamic impact of internal and external stakeholders on the CSR practices of CICs.

This study adopted a structural equation model (SEM) to identify and validate a correlation between stakeholders and CSR practices. Standardized causal coefficients estimated in SEM were used to construct a fuzzy cognitive map (FCM) model to illustrate the effect of stakeholders on CSR practices with linkage direction and weights. Predictive, diagnostic, and hybrid analyses were performed to dynamically model the variation in stakeholders on the evolution of CSR practices.

The empirical results demonstrate that (1) employee participation in CSR has the greatest impact on CSR practices, followed by CSR strategies, partner and customer expectations, and finally government regulations. (2) In the early stage of CSR fulfillment, CSR strategies have the greatest influence on CSR practices; in the later stage of CSR fulfillment, employee participation in CSR has the greatest influence on CSR practices. (3) In the long run, the most effective and economical integrated interventions are those that address employee participation in CSR, partner expectations and customer expectations, and intervention in CSR strategies is needed if the level of CSR practice needs to be improved in the short term.

This study contributes to the research on the influence mechanisms of CSR practices of CICs and systematically analyzes their dynamic influence on CSR practices of CICs from the perspective of stakeholders.

This paper aims to evaluate the inhibition efficiency of norfloxacin on the corrosion of copper in 1.0 M nitric acid and 0.5 M sulfuric acid solutions.

Evaluation was carried out by electrochemical techniques such as electrochemical impedance spectroscopy and potentiodynamic polarization studies. Scanning electron microscopy was used, and it finally confirmed the existence of the adsorbed film.

The electrochemical measurements showed that norfloxacin has good inhibition efficiency on the corrosion of copper in 1.0 M nitric acid and 0.5 M sulfuric acid solutions. The inhibition action of norfloxacin in both of the corrosive media was observed to be of mixed type but with more of cathodic nature. The temperature dependence of the corrosion rate was studied in the temperature range from 35 to 55°C and the activation energy (E_a) was calculated. The adsorption of norfloxacin molecules on copper surface obeyed Langmuir adsorption isotherm. Studies on the potential of zero charge have been carried out to establish the mechanism of adsorption of the inhibitor onto the metal surface. The thermodynamic parameters such as the adsorption equilibrium constant (K_ads) and the free energy of adsorption (ΔG_ads) were calculated. The value of free energy of adsorption very close to −40 kJmol⁻¹ indicates that the adsorption is through electrostatic coulombic attraction and chemisorption. The decrease in value of E_a with the addition of inhibitor also shows the chemisorption of the inhibitor on the metal surface.

This paper indicates that norfloxacin can act as a good inhibitor for the corrosion of copper in both the acid media.

The present work focuses on evaluating the physical and mechanical characteristics of geopolymer concrete (GPC) by replacing the sodium silicate waste (SSW) in place of traditional river sand. The aim is to create eco-friendly concrete that mitigates the depletion of conventional river sand and conserves natural resources. Additionally, the study seeks to explore how the moisture content of filler materials affects the performance of GPC.

SSW obtained from the sodium silicate industry was used as filler material in the production of GPC, which was cured at ambient temperature. Instead of the typical conventional river sand, SSW was substituted at 25 and 50% of its weight. Three distinct moisture conditions were applied to both river sand and SSW. These conditions were classified as oven dry (OD), air dry (AD) and saturated surface dry (SSD).

As the proportion of SSW increased, there was a decrease in the slump of the GPC. The setting time was significantly affected by the higher percentage of SSW. The presence of angular-shaped SSW particles notably improved the compressive strength of GPC when replacing a portion of the river sand with SSW. When exposed to elevated temperatures, the performance of the GPC with SSW exhibited similar behavior to that of the mix containing conventional river sand, but it demonstrated a lower residual strength following exposure to elevated temperatures.

Exploring the possible utilization of SSW as a substitute for river sand in GPC, and its effects on the performance of the proposed mix. Analyzing, how varying moisture conditions affect the performance of GPC containing SSW. Evaluating the response of the GPC with SSW exposed to elevated temperatures in contrast to conventional river sand.

The purpose of this paper is to develop a new model – namely service quality enhancement – in the electricity utility sector of south India and to test this model's fitness.

Effective customer satisfaction investigation is a very important precondition for a power supply enterprise to win in the market competition. The problems that need to be solved for the power supply enterprise are how to use advanced and practiced methods to evaluate electricity customer satisfaction, and how to use results of the evaluation to improve their service. Planning and operating modern electric power systems involves several interlinked and complex tasks. In this paper, structural equation modeling (SEM) is applied to the electricity utility service model to verify service quality satisfaction. To determine the scope of the electricity industry and its relationship with overall service quality, a questionnaire-based survey was conducted and a standard questionnaire was designed for all customers in different groups of stakeholders (i.e. domestic, industrial, agricultural, public organization). To investigate the respondents’ perceptions regarding the service quality of the electricity utility industry, 200 questionnaires were sent, and from these 169 responses were collected, consisting of 53 responses from the domestic sector, 43 industrial, 30 agricultural, and the remaining 43 from public organization consumers. Then a model was constructed using SEM and tested by Amos 18 to verify the casual relationship between the measured dimensions and the electricity service quality.

The results indicate that electricity service has a direct relationship with the dimensions of reliability, tangibility, empathy responsiveness, assurance, security and stability.

In this era electricity is the vital need, but due to regular interruptions in the electricity service, customer dissatisfaction is the measured issue. At the current time, the Indian electricity utility sector enjoys a monopolistic business. Therefore, there is hardly any effort to improve the service quality in this sector due to a lack of administrative pressure and reformation measures. Indian electricity consumers face many quality-related problems as far as the distribution of electricity is concerned. In order to assess service quality in electricity distribution, a survey has been conducted in this work to extract quality constructs from a customer's perspective. One of the contributions of this work is that on the basis of results obtained from factor analysis of the survey data, an instrument has been proposed for the first time in the Indian context, consisting of seven dimensions (reliability, tangibility, empathy, responsiveness, assurance, security and stability). This instrument would help to measure the service quality of the Indian electricity utility sectors, and it provides insights for managers and administrators to set a service standard to fill the service gap. SEM is a tool is used for confirmatory and exploratory factor analysis. It is used to test and validate standard instruments. Through confirmatory and exploratory factor analysis using SEM, the proposed service quality model has been tested and validated for practical acceptance in Indian electricity industry.