Search results

Offshore industries encounter severe production downtime due to high liquid carryovers in the T-junction. The diameter ratio and flow regime can significantly affect the excess liquid carryovers. Unfortunately, regular and reduce T-junctions have low separation efficiencies. Ansys as a commercial computational fluid dynamics (CFD) software was used to model and numerically inspect a novel diverging T-junction design. The purpose of diverging T-junction is to merge the specific characteristics of regular and reduced T-junctions, ultimately increasing separation efficiency. The purpose of this study is to numerically compute the separation efficiency for five distinct diverging T-junctions for eight different velocity ratios. The results were compared to regular and converging T-junctions.

Air-water slug flow was simulated with the help of the volume of the fluid model, coupled with the K-epsilon turbulence model to track liquid-gas interfaces.

The results of this study indicated that T-junctions with upstream and downstream diameter ratio combinations of 0.8–1 and 0.5–1 achieved separation efficiency of 96% and 94.5%, respectively. These two diverging T-junctions had significantly higher separation efficiencies when compared to regular and converging T-junctions. Results also revealed that over-reduction of upstream and downstream diameter ratios below 0.5 and 1, respectively, lead to declination in separation efficiency.

The present study is constrained for air and water as working fluids. Nevertheless, the results apply to other applications as well.

The proposed T-junction is intended to reduce excessive liquid carryovers and frequent plant shutdowns. Thus, lowering operational costs and enhancing separation efficiency.

Higher separation efficiency achieved by using diverging T-junction enabled reduced production downtimes and resulted in lower maintenance costs.

A novel T-junction design was proposed in this study with a separation efficiency of higher than 90%. High separation efficiency eliminates loss of time during shutdowns and lowers maintenance costs. Furthermore, limitations of this study were also addressed as the lower upstream and downstream diameter ratio does not always enhance separation efficiency.

In plethora of petroleum, chemical and heat transfer applications, T-junction is often used to partially separate gas from other fluids, to reduce work burden on other separating equipment. The abundance of liquid carryovers from the T-junction side arm is the cause of production downtime in terms of frequent tripping of downstream equipment train. Literature review revealed that regular and reduced T-junctions either have high peak liquid carryovers (PLCs) or the liquid appears early in the side arm [liquid carryover threshold (LCT)]. The purpose of this study is to harvest the useful features of regular and reduced T-junction and analyze diverging T-junction having upstream and downstream pipes.

Volume of fluid as a multiphase model, available in ANSYS Fluent, was used to simulate air–water slug flow in five diverging T-junctions for eight distinct velocity ratios. PLCs and LCT were chosen as key performance indices.

The results indicated that T (0.5–1) and (0.8–1) performed better as low liquid carryovers and high LCT were achieved having separation efficiencies of 96% and 94.5%, respectively. These two diverging T-junctions had significantly lower PLCs and high LCT when compared to other three T-junctions. Results showed that the sudden reduction in the side arm diameter results in high liquid carryovers and lower LCT. Low water and air superficial velocities tend to have low PLC and high LCT.

This study involved working fluids air and water but applies to other types of fluids as well.

The novel T-junction design introduced in this study has significantly higher LCT and lower PLC. This is an indication of higher phase separation performance as compared to other types of T-junctions. Because of lower liquid take-offs, there will be less frequent downstream equipment tripping resulting in lower maintenance costs. Empirical correlations presented in this study can predict fraction of gas and liquid in the side arm without having to repeat the experiment.

Maintenance costs and production downtime can be significantly reduced with the implication of diverging T-junction design.

The presented study revealed that the diameter ratio has a significant impact on PLC and LCT. It can be concluded that novel T-junction designs, T2 and T3, achieved high phase separation; therefore, it is favorable to use in the industry. Furthermore, a few limitations in terms of diameter ratio are also discussed in detail.

This study investigated the role of brand experience dimensions (behavioral, intellectual, sensory and affective) to predict consumer loyalty (repurchase intention (RPI), word of mouth (WOM) and willingness to pay more (WPM)) through the mediating role of perceived brand authenticity (PBA) in the global branding context.

A total of 422 consumers participated in this study and provided feedback on top authentic global brands after completing a self-administered online survey. Partial least squares structural equation modeling (PLS-SEM) was used to conduct the data analysis.

This study discovered that brand experience dimensions positively influenced PBA (predominantly sensory and intellectual experiences), which significantly predicted consumer loyalty (RPI, WOM and WPM).

This research uncovered some limitations that can be used to investigate new research possibilities. From a theoretical standpoint, this study offers new insights into brand experience dimensions (BEDs), PBA and consumer loyalty in order to develop consumer-brand relationships.

This study offered several managerial recommendations. By considering brand authenticity as a positioning tool, global managers can effectively develop and implement various experiential marketing strategies to develop long-term relationships with consumers to attain their loyalty.

This is a new study that uses Fournier's relationship theory to investigate BEDs on PBA to predict consumer loyalty in the context of authentic global brands.

The purpose of this study is to test the relationship between mall relevance dimensions [(functional relevance (FNR), symbolic relevance (SYR), social relevance (SOR) and environmental relevance (ENR)] and shoppers' well-being (SWB), which in turn influences mall loyalty (ML). In addition, this study aims to investigate the moderating effect of social media celebrities (SMCs) on the association between SWB and ML.

A mall intercept survey was used to collect responses from mall shoppers. The authors received 426 valid responses from mall shoppers in Pakistan's three metropolitan cities (i.e. Karachi, Lahore and Islamabad). To test the hypotheses, partial least squares structural equation modelling (PLS-SEM) was used.

Findings reveal that FNR, SYR, ENR and SOR significantly and positively influence SWB. Similarly, SWB significantly affects ML. Moreover, SMCs moderate the positive relationship between SWB and ML.

This study is one of the pioneer studies examining mall relevance dimensions on SWB. In addition, this study contributes to the retailing literature by testing the moderation effect of SMCs on the relationship between SWB and ML. Likewise, this study provides insights for mall administration to focus on mall relevance in terms of FNR, SYR, ENR and SOR to enhance the current and prospects' SWB. Next, SMCs play a key role in enhancing SWB and ML.

This study aims to investigate individual-related consequences of workplace bullying among the health-care section. Specifically, this study examined the mediating role of burnout between workplace bullying and nurses’ well-being. Moreover, passive avoidant leadership is examined as a conditional variable between workplace bullying and burnout.

This study collected data from 314 nurses working in various hospitals through a questionnaire-based survey using Google Form in two waves.

Structural equation modeling confirmed the negative effect of workplace bullying on nurses’ well-being, whereas burnout mediates this relationship. In addition, passive avoidant leadership was identified as a conditional variable that strengthens the positive association between workplace bullying and burnout.

Although data for the study were collected in two waves, still cross-sectional design limits causality.

This study suggests management to focus on developing and implementing counter-bullying rules to avoid the adverse consequences of workplace bullying (e.g. capital loss, recruitment costs, burnout, well-being, etc.). In addition, leaders/supervisors must be trained to fulfill their responsibilities to reduce negative consequences.

Studies on workplace bullying in high-power distance cultures are scant. Therefore, drawing upon conservation of resource theory, to the best of the authors’ knowledge, this is the first study that has investigated the moderating role of passive avoidant leadership on the association between workplace bullying and burnout.

Organizational politics has been a topic of conceptual and empirical interest for researchers and practitioners for many years. The purpose of this paper is to examine the relationship between organizational politics and employee work outcomes in educational institutions. In addition, this paper also aims to assess the moderating role of social capital.

Employee perceptions about organizational politics and its impact on their work outcomes have been assessed empirically with a sample of 270 full-time employees in higher education institutions of Pakistan. The data have been collected from faculty members of five universities of Pakistan using survey method. SPSS and AMOS have been used to analyze the data and SEM has been used to test the hypotheses.

The results indicate a moderating effect of social capital on the relationship between perceived organizational politics and employee outcomes, and the most significant employee outcomes are job stress, job satisfaction and turnover intentions. The findings of the study support the view that organizational politics has negative association with employee job stress and turnover intentions.

Higher education sector in Pakistan is facing certain challenges, which affect talent retention. The findings of this study will help the administration of higher education institutions to develop effective strategies to cope with the challenges of organizational politics, such as motivation, satisfaction and retention of their employees.

The study adds to the literature on organizational politics by highlighting and validating its adverse effects on employee work outcomes in the context of Pakistani higher education.

This study analyses the organizational consequences of work–family conflict (WFC) among female nurses in health care sector. Moreover, this study focuses on the moderating effect of intrinsic motivation on the association between WFC dimensions with different organizational outcomes.

Data are collected from 347 female nurses working in health care sector at Islamabad, Rawalpindi, Lahore, Multan and Bahawalpur regions of Pakistan, using random sampling technique. Regression analysis is used to test the hypotheses of this study.

The findings demonstrate that WFC conflict lowers job satisfaction, affective commitment and organizational citizenship behaviour. Contrary, WFC reduces job satisfaction, affective commitment and organizational citizenship behaviour and increases turnover intentions among female nurses. Moreover, intrinsic motivation moderates the association between WFC and certain organizational outcomes.

The study offers valuable insights for female nurses at health care sector about WFC and finally leads to theoretical contributions and practical implications for the healthcare sector of Pakistan.

Drawing on stakeholder theory and contingency theory, this study empirically investigates the relationship between responsible leadership (RL) and each dimension of triple-bottom-line (TBL) performance. Moreover, we tested the mediating effect of corporate reputation (CR) and innovation between RL and TBL performance.

Perceptual data were collected from 227 senior-level Pakistani managers using a questionnaire survey. Structural equation modeling (SEM) was used to test the direct and mediating effect hypotheses.

The results revealed that RL significantly and positively affects each dimension of TBL performance. Further, innovation mediated the relationship between RL and each dimension of TBL performance. However, CR did not mediate the relationship between RL and environmental performance.

This is maiden study to empirically investigate the effect of RL on meso-level outcome. Further, this study would be among the few ones to use TBL as a measure of corporate performance. Moreover, it will be the first study to test the mediating role of CR and innovation in the above-mentioned relationship and will also validate contingency theory.

This paper aims to improve the computational efficiency of higher-order accurate Noye–Hayman [NH (9,9)] implicit finite difference scheme for the solution of electromagnetic scattering problems in tunnel environments.

The proposed method consists of two major steps: First, the higher-order NH (9,9) scheme is numerically discretized using the finite-difference method. The second step is to use an algorithm based on hierarchical interpolative factorization (HIF) to accelerate the solution of this scheme.

It is observed that the simulation results obtained from the numerical tests illustrate very high accuracy of the NH (9,9) method in typical tunnel environments. HIF algorithm makes the NH (9,9) method computationally efficient for two-dimensional (2D) or three-dimensional (3D) problems. The proposed method could help in reducing the computational cost of the NH (9,9) method very close to O(n) usual O(n3) for a full matrix.

For simplicity, in this study, perfect electric conductor boundary conditions are considered. Future research may also include the utilization of meteorological techniques, including the effects of backward traveling waves, and make comparisons with the experimental data.

This study is directly applicable to typical problems in the field of tunnel propagation modeling for both national commercial and military applications.

The purpose of this study was to evaluate the psychosocial impact during the current epidemic situation of COVID-19 in Pakistan.

A total of 1,149 respondents were recruited in the study. Mental health status and psychological impact of COVID-19 outbreak were measured by impact of events scale–revised (IES-R) instrument and depression, anxiety and stress scales (DASS-21), respectively.

Results of IES-R revealed moderate or severe psychological impact in 13.05% respondents (score > 33). DAAS score revealed that severe and extremely severe depression (score: 21–42), anxiety (score: 15–42) and stress (score: 27–42) were reported in 6.35%, 6.87% and 2.78% respondents, respectively. Higher levels of stress, anxiety and depression were recorded in female gender, student, medical professionals, farmer and daily wages employed, exhibiting significant (p < 0.05) association with psychological impact of the COVID-19 outbreak. Majority of respondents received increased support, shared feeling and family care.

Mild to moderate psychological impact on mental health status was recorded in this study, which enables further planning and opportunities for health authorities to design psychological interventions for the improvement of negative psychological impact of COVID-19 epidemic in vulnerable groups.