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This paper presents a versatile and economical knowledge‐based assembly design of blade and shell assemblies by employing behavioral modeling concepts. Behavioral modeling is a new generation CAD concept aimed at achieving ultimately optimum results with the efforts made in the early stage of the product development cycle. As a result, the assembly process of any odd‐configured parts such as torque converter blades, can be accurately planned, and made adaptable to all potential in‐process alterations due to either changes of components design or that of the assembly kinematics. Optimum assembly design is achieved when the volumetric interference meets a desired value based on an expert's determination. Experimental verification of the proposed optimum assembly design conducted in Luk, Inc. with two different blades' assemblies demonstrates satisfactory results.

This paper develops a proportional plus derivative (PD) control scheme for a thyristor controlled series compensator (TCSC) to reinforce power system damping performance. This PD control scheme is aided by the use of genetic algorithms (GAs). The effectiveness of the proposed method is demonstrated through computer simulation using a multi‐machine power system associated with a single TCSC. Results show that the proposed PD controller can achieve good damping performance.

The purpose of this paper is to propose an effective and novel methodology to determine optimal location of piezoelectric transducers for passive vibration control of geometrically complicated structures and shells with various curvatures. An industry‐standard aircraft leading‐edge structure is considered for the actuator placement analysis and experimental verification.

The proposed method is based on finite element analysis of the underlying structure having a thin layer of piezoelectric elements covering the entire inner surface with pertinent boundary conditions. All the piezoelectric properties are incorporated into the elements. Specifically, modal piezoelectric analysis is performed to provide computed tomography for the evaluations of the electric potential distributions on these piezoelectric elements attributed by the first bending and torsional modes of structural vibration. Then, the outstanding zone(s) yielding highest amount of electric potentials can be identified as the target location for the best actuator placement.

Six piezoelectric vibration absorbers are determined to be placed alongside both of the fixed edges. An experimental verification of the aluminum leading edge's vibration suppression using the proposed method is conducted exploiting two resistive shunt circuits for the passive damping. A good agreement is obtained between the analytical and experimental results. In particular, vibration suppression around 30 and 25 per cent and Q‐factor reduction up to 15 and 10 per cent are obtained in the designated bending and torsional modes, respectively. In addition, some amount of damping improvement is observed at higher modes of vibration as well.

The frequency in the proposed approach will be increased slowly and gradually from 0 to 500 Hz. When the frequency matches the natural frequency of the structure, owing to the resonant condition the plate will vibrate heavily. The vibrations of the plate can be observed by connecting a sensor to an oscilloscope. Owing to the use of only one sensor, not all the modes can be detected. Only the first few modes can be picked up by the sensor, because of its location.

This method can also be used in optimizing not only the location but also the size and shape of the passive vibration absorber to attain maximum amount of damping. This can be achieved by simply changing the dimensions and shape of the piezoelectric vibration absorber in the finite element model on an iterative basis to find the configuration that gives maximum electric potential.

The determination of optimal location(s) for piezoelectric transducers is very complicated and difficult if the geometry of structures is curved or irregular. Therefore, it has never been reported in the literature. Here an efficient FEA‐based electric potential tomography method is proposed to identify the optimized locations for the PZT transducers for passive vibration control of geometrically complicated structures, with minimal efforts. In addition, this method will facilitate the determination of electric potentials that would be obtained at all the possible locations for piezoelectric transducers and hence makes it possible to optimize the placement and configurations of the candidate transducers on complex shape structures.

By leveraging various designs for assembly and designs for manufacturing methods, manufacturing industry can apply solid modeling, or 3D design, to increase profit margins and decrease the time to market of its product. Specific to torque converter development, an engineer can utilize a CAD package and gain all of the advantages of designing in 3D without the drawback of increased design time. In this paper we propose a behavioral modeling technique to capture design intent and utilize the intent maps for obtaining 3D solid models in a similar amount of time as on a 2D CAD system, but with the advantage of a life‐like final design. This results in fewer modifications and less inaccuracies associated with 2D design. A 3D model so generated also assists in drawing interpretation. In general, using the proposed techniques will streamline the torque converter design cycle and move readily towards desired assembly automation. Torque converter design for assembly is implemented as an illustrated example.

Interorganizational collaborations are crucial for delivering high-quality, integrated healthcare services. To maximize the benefits of these collaborative networks, effective governance structures and mechanisms must be in place. While previous studies have extensively examined organizational-level factors, such as partner capabilities and backgrounds, this study focuses on network-level factors, including collaboration structures and tie characteristics that shape effective network governance.

A systematic literature review (SLR) was conducted to identify and synthesize the key network-level factors influencing governance structures and mechanisms in healthcare networks.

The review identified 22 critical factors, categorized into three primary groups that impact network governance. These findings offer a robust foundation for developing context-sensitive governance models tailored to healthcare systems.

This study provides valuable insights for healthcare practitioners, policymakers and researchers by highlighting key factors that can improve interorganizational collaboration within healthcare systems. The findings contribute to both theory and practice, with the potential to enhance healthcare service delivery and patient outcomes.

This study is the first to systematically identify and categorize the network-level factors that influence governance structures and mechanisms in healthcare networks, providing a comprehensive and novel contribution to the field.

The purpose of this study is to examine the relationships between the dimensions of sustainable competitive advantages in the Indian low cost airlines.

This study used structural equation modelling methods to identify the factors that significantly affect the sustainable competitive advantages enjoyed by Indian low-cost carriers (LCCs). Specifically, this study is based on the data from 208 airline experts that populate multiple structural equation models.

Results indicate that indigenous efficiency, the LCCs perceptions of threat, dexterity, strategic persuasion and the LCC adopting an enabling role positively affect LCCs’ competitive advantages. These five factors were all correlated with each other. The results also show that relative to an LCC’s dexterity, indigenous efficiency is a stronger predictor of an LCC’s competitive advantages.

This study provides low-cost airlines with valuable information for designing effective strategies for obtaining competitive advantages in the LCC sector. To conclude the paper, the authors offer practical recommendations for managers and suggest some avenues for future research in this area.

This study investigates how the organizational climate influences work–life balance (WLB) among women employees in universities across Jammu and Kashmir, with a focus on the mediating role of self-efficacy.

Adopting a quantitative research design, this study utilized a survey methodology to collect data from women employees in 11 universities within Jammu and Kashmir. The study analyzed responses from 587 participants through partial least squares structural equation modeling (PLS-SEM) using SmartPLS 4.0.

The findings underscore the significant positive impacts of organizational climate dimensions – autonomy, integration, involvement, support, training and welfare – on work–life balance. Self-efficacy was found to partially mediate the relationships between organizational climate dimensions and work–life balance, underscoring its role in enhancing employees’ capacity to manage work and personal life. The study highlights the importance of a supportive organizational climate in fostering self-efficacy and, subsequently, achieving a satisfactory work–life balance among women employees in academic settings.

This research contributes to the existing literature by exploring the nuanced relationship between organizational climate, self-efficacy and work–life balance, specifically among women employees in the educational sector of Jammu and Kashmir. By highlighting self-efficacy as a critical mediator, the study offers novel insights into the mechanisms through which organizational climate affects work–life balance, providing valuable implications for policy and practice in educational institutions.

This study had a threefold aim: to examine the impact of a Simmelian-tie tripartite alliance on corporate green innovation; to determine the chain-mediating roles of knowledge acquisition and knowledge integration; and to identify the moderating effect of network routines on the relationship between a Simmelian tie and green innovation.

Data were collected through 487 valid survey questionnaires from Chinese small and medium-sized manufacturing enterprises (SMEs). The authors examined the data through a structural model using partial least-squares structural-equation modeling (PLS-SEM) to test the research hypotheses.

The results reveal several key factors with positive impacts on enterprise green innovation. Specifically, a Simmelian tie significantly and positively affects enterprise green innovation. The results further reveal that knowledge acquisition and integration play mediating roles, while a network routine positively moderates the relationships among a Simmelian tie, knowledge acquisition and integration, and corporate green innovation.

This study is among the earliest empirical studies to investigate the influence of Simmelian ties on corporate green innovation for manufacturing companies. This study provides a theoretical basis for managers of firms, especially those of SMEs with limited resources, to fully use Simmelian ties to achieve environmentally sustainable innovation. In addition, this study validates and extends knowledge-management theory by verifying the linking roles of knowledge acquisition and integration and facilitating role of network routines.

Hospital responsiveness to the patient expectations of non-medical aspect of care can lead to patient satisfaction. The purpose of this paper is to investigate the relationship between the eight dimensions of responsiveness and overall patient satisfaction in public and private hospitals in Tehran, Iran.

This cross-sectional study was conducted in 2015. In all, 500 patients were selected by the convenient sampling method from two public and three private hospitals. All data were collected using a valid and reliable questionnaire consisted of 32 items to assess the responsiveness of hospitals across eight dimensions and four items to assess the level of overall patient satisfaction. Data analysis was performed using descriptive statistics and multivariate regression was performed by SPSS 18.

The mean score of hospital responsiveness and patient satisfaction was 3.48±0.69 and 3.54±0.97 out of 5, respectively. Based on the regression analysis, around 65 percent of the variance in overall satisfaction can be explained by dimensions of responsiveness. Seven independent variables had a positive impact on patient satisfaction; the quality of basic amenities and respect for human dignity were the most powerful factors influencing overall patient satisfaction.

Hospital responsiveness had a strong effect on overall patient satisfaction. Health care facilities should consider including efforts to responsiveness improvement in their strategic plans. It is recommended that patients should be involved in their treatment processes and have the right to choose their physician.

The corrosion behaviour of titanium alloy surface when fluid with different flow rates flows through welded joints with different residual heights was explored.

The experiment uses a combination of array electrodes and simulation.

It is found that when the weld reinforcement exists, the corrosion tendency of both ends of the weld metal is greater than that of other parts of the welded joint due to the influence of high turbulence kinetic energy and shear stress. The presence of weld reinforcement heights makes the fluid behind it fluctuate greatly. The passivation films of both the base metal (BM) at the rear and the heat-affected zone (HAZ) are more prone to corrosion than those of the front BM and HAZ, and the passivation film is rougher.

The combination of test and simulation was used to explore the influence of electrochemical and hydrodynamic factors on the corrosion behaviour of titanium alloy-welded joints when welding residual height existed.