E. Jahanbakhsh, R. Panahi and M.S. Seif
This study aims to present compatible computational fluid dynamics procedure for calculation of incompressible three‐dimensional time‐dependent flow with complicated free surface…
Abstract
Purpose
This study aims to present compatible computational fluid dynamics procedure for calculation of incompressible three‐dimensional time‐dependent flow with complicated free surface deformation. A computer software is developed and validated using a variety of academic test cases.
Design/methodology/approach
Two fluids are modeled as a single continuum with a fluid property jump at the interface by solving a scalar transport equation for volume fraction. In conjunction, the conservation equations for mass and momentum are solved using fractional step method. Here, a finite volume discretisation and colocated arrangement are used.
Findings
The developed code results in accurate simulation of interfacial flows, e.g. Rayleigh‐Taylor instability, sloshing and dambreaking problems. All results are in good concordance with experimental data especially when there are two phases with high density ratio.
Research limitations/implications
Turbulence, which has great importance in a wide variety of real world phenomena, is not considered in the present formulation and left for future researches.
Originality/value
Here, an integrated numerical simulation for transient interfacial flows is presented. In this way, the pressure integral term in Navier‐Stokes equation is discretised based on a newly developed interpolation which results in non‐oscillative velocity field especially in free surface.
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Pablo A. Caron, Marcela A. Cruchaga and Axel E. Larreteguy
The present work is a numerical study of a breaking dam problem. The purpose of this paper is to assess the effect of turbulence and surface tension models in the prediction of…
Abstract
Purpose
The present work is a numerical study of a breaking dam problem. The purpose of this paper is to assess the effect of turbulence and surface tension models in the prediction of the interface position in a long-term analysis. Additionally, dimensional effects are analyzed by carrying out both 2D and 3D simulations.
Design/methodology/approach
Finite volume simulations performed with the different models are compared between them and contrasted with numerical results computed using other numerical techniques and experimental data.
Findings
The reported numerical results are in general in good agreement with experimental results available in the literature. They are also consistent with numerical solutions of other authors obtained using different numerical techniques. The results show that the laminar simulations exhibit strong mesh size dependency, while the turbulence models seem to help in producing mesh-independent solutions. Surface tension modeling does not seem to play a relevant role in the interface evolution.
Practical implications
Model validation.
Originality/value
The value of the present work encompass the comparison of different flow conditions used to simulate a free surface problem and their validation by contrasting numerical results with experiments. Also, the results shown in the present work are a contribution to the understanding of the role of some specific aspects of the models in the simulation of the proposed problem.
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Luca Marioni, Mehdi Khalloufi, Francois Bay and Elie Hachem
This paper aims to develop a robust set of advanced numerical tools to simulate multiphase flows under the superimposition of external uniform magnetic fields.
Abstract
Purpose
This paper aims to develop a robust set of advanced numerical tools to simulate multiphase flows under the superimposition of external uniform magnetic fields.
Design/methodology/approach
The flow has been simulated in a fully Eulerian framework by a {\it variational multi-scale} method, which allows to take into account the small-scale turbulence without explicitly model it. The multi-fluid problem has been solved through the convectively re-initialized level-set method to robustly deal with high density and viscosity ratio between the phases and the surface tension has been modelled implicitly in the level-set framework. The interaction with the magnetic field has been modelled through the classic induction equation for 2D problems and the time step computation is based on the electromagnetic interaction to guarantee convergence of the method. Anisotropic mesh adaptation is then used to adapt the mesh to the main problem’s variables and to reach good accuracy with a small number of degrees of freedom. Finally, the variational multiscale method leads to a natural stabilization of the finite elements algorithm, preventing numerical spurious oscillations in the solution of Navier–Stokes equations (fluid mechanics) and the transport equation (level-set convection).
Findings
The methodology has been validated, and it is shown to produce accurate results also with a low number of degrees of freedom. The physical effect of the external magnetic field on the multiphase flow has been analysed.
Originality/value
The dam-break benchmark case has been extended to include magnetically constrained flows.
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The purpose of this work is to illustrate the processes involved in managing teams in order to assist designers and developers to build software that support teamwork. A deeper…
Abstract
Purpose
The purpose of this work is to illustrate the processes involved in managing teams in order to assist designers and developers to build software that support teamwork. A deeper investigation into the role of team analytics is discussed in this article.
Design/methodology/approach
Many researchers over the past several decades studied the success factors of a team. Despite many efforts, there is still no consensus on how a team should ideally be formed. Consequently, how one decides to form teams in a class depends on the domain, classroom context and pedagogical objectives. Therefore, software used to support an instructor in forming teams must be flexible enough to accommodate a variety of use cases and support the users throughout the lifecycle of teamwork. In this work, the author proposes a framework for designing general-purpose team management software. The author reviews existing team formation software and focuses specifically on opportunities for advancing research in team analytics.
Findings
In this context, the author identifies four areas of research opportunities for team analytics.
Originality/value
Lastly, the author proposes a series of research questions (RQs) and discusses the pedagogical, design, technical and social challenges involved.
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Jie Sun, X.F. Ge and Yuan Zheng
The research in this paper helps to understand the difference between the Eulerian method and the Lagrangian method in describing the performance of Pelton turbine buckets, so as…
Abstract
Purpose
The research in this paper helps to understand the difference between the Eulerian method and the Lagrangian method in describing the performance of Pelton turbine buckets, so as to improve the design level and design efficiency of the runner.
Design/methodology/approach
This paper used DualSPHysics to calculate the unsteady flow of the Pelton turbine runner bucket and compared it with the mesh-based method to explore the difference between mesh-based and particle-based methods in torque curves, jet flow patterns and pressure characteristics.
Findings
It is noted that the particle-based method is challenging to compare with the mesh-based method concerning accuracy. In addition to better describing the free water film, the particle method also captures many droplets near the water film, but it cannot well describe the negative pressure region on the bucket back and the resulting jet interference after cutting off the jet. Compared with the mesh-based method, the pressure measurement points obtained by the particle-based method generally have shorter periods and violent fluctuations, and the pressure value of some points is underestimated.
Originality/value
This paper helped to calculate the unsteady characteristics of the Pelton turbine by Fluent, CFX and DualSPHysics; exploration jet flow pattern differences between the mesh and meshfree methods; prediction of the flow interference between the bucket back and the jet and the pressure curve of SPH usually has a shorter period and violent fluctuations.
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Junjie Liang, Wan Luo, Zhigao Huang, Huamin Zhou, Yun Zhang, Yi Zhang and Yang Fu
The purpose of this paper is to develop a finite volume approach for the simulation of three-dimensional two-phase (polymer melt and air) flow in plastic injection molding which…
Abstract
Purpose
The purpose of this paper is to develop a finite volume approach for the simulation of three-dimensional two-phase (polymer melt and air) flow in plastic injection molding which is capable of robustly handling the mesh non-orthogonality and the discontinuities in fluid properties.
Design/methodology/approach
The presented numerical method is based on a cell-centered unstructured finite volume discretization with a volume-of-fluid technique for interface capturing. The over-relaxed approach is adopted to handle the non-orthogonality involved in the discretization of the face normal derivatives to enhance the robustness of the solutions on non-orthogonal meshes. A novel interpolation method for the face pressure is derived to address the numerical stability issues resulting from the density and viscosity discontinuities at the melt–air interface. Various test cases are conducted to evaluate the proposed method.
Findings
The presented method was shown to be satisfactorily accurate by comparing simulations with analytical and experimental results. Besides, the effectiveness of the proposed face pressure interpolation method was verified by numerical examples of a two-phase flow problem with various density and viscosity ratios. The proposed method was also successfully applied to the simulation of a practical filling case.
Originality/value
The proposed finite volume approach is more tolerant of non-orthogonal meshes and the discontinuities in fluid properties for two-phase flow simulation; therefore, it is valuable for engineers in engineering computations.
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This paper aims to explore advances in indirect personality assessment, with emphasis on the psychology of digital behavior based on the analysis of new technological devices and…
Abstract
Purpose
This paper aims to explore advances in indirect personality assessment, with emphasis on the psychology of digital behavior based on the analysis of new technological devices and platforms for interpersonal relationships, identifying – along the way – those findings that may be useful to carry out a reconstructive psychological assessment (RPA) of applicability in the legal context.
Design/methodology/approach
Different fields of knowledge are explored, transferring the findings to the field of psychology of digital behavior, analyzing the publications that report findings on the analysis of new technological devices and platforms for interpersonal relationships and identifying – along the way – those findings that may result useful to carry out an RPA of applicability in the legal context.
Findings
The application of RPA represents a significant advance in the integration of criminal psychology and forensic technology in legal contexts, opening new fields of action for forensic psychology.
Originality/value
The article has transferred advances in computer science to the field of forensic psychology, with emphasis on the relevance of RPA (from the analysis of digital behavioral residues) in the interpretation of behavioral evidence for the indirect evaluation of the personality and within the judicial context (when the victim and/or accused are not included).
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Adamu Sa'ad Madaki, Kamsuriah Ahmad and Dalbir Singh
This paper examines factors influencing successful information technology (IT) integration in developing countries’ e-government sectors, analyzing benefits and challenges to…
Abstract
Purpose
This paper examines factors influencing successful information technology (IT) integration in developing countries’ e-government sectors, analyzing benefits and challenges to understand interconnections among factors. This study aims to overcome barriers and maximize benefits, contributing to advancing knowledge and effective IT integration implementation practices, to enhance service delivery.
Design/methodology/approach
This paper uses interpretive philosophy and qualitative methods to explore factors affecting IT integration implementation. Using systematic literature review, it identifies key knowledge, insights and future research directions, contributing to theory enrichment through model development elucidating IT integration factors influencing IT integration implementation in the e-government public sector and its broader ecosystem.
Findings
The findings indicate that while IT integration implementation enhanced efficiency, data security and service delivery, implementation challenges such as resource constraints, resistance to change and interoperability issues, exacerbated by the COVID-19 pandemic’s impact on remote and hybrid work, are evident. Unique to Nigeria are public trust and unreliable power supply issues, significantly impacting service delivery. Notably, the study emphasizes the interconnection between these challenges and benefits, illustrating the complexity of IT integration in the e-government public sector, aligning with similar findings in the literature on other countries.
Research limitations/implications
Limitations include regional variations and a narrow temporal scope, impacting generalizability. Methodological choices may affect inclusivity, and contextual factors might not be fully captured. Policymakers can use findings for targeted strategies, while collaboration fosters understanding and monitoring ensures sustained success.
Originality/value
The study’s originality lies in its comprehensive examination of IT integration in the e-government sector, especially in developing countries like Nigeria. Through a systematic review from 2004 to 2024, it identifies unique challenges and benefits, emphasizing management’s role and proposing innovative frameworks for future research.
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Memoona Sajid and Raheel Safdar
This study empirically tests the relationship between supply chain finance (SCF) and firm performance. Moreover, this study also investigates the potential role of industry…
Abstract
Purpose
This study empirically tests the relationship between supply chain finance (SCF) and firm performance. Moreover, this study also investigates the potential role of industry competition in the proposed relationship between SCF and firm performance.
Design/methodology/approach
A conceptual framework is developed and tested using secondary data collected from 122 non-financial listed firms on the Pakistan Stock Exchange (PSX) for the period of ten years (2012–2021). Ordinary least squares (OLS) regression analysis is performed in STATA to validate the proposed relationships.
Findings
The results highlight that SCF has a positive impact on firm performance. Moreover, industry competition positively moderates the relationship between SCF and firm performance.
Practical implications
This study would help firms in assessing the value of operational financing to their financially constrained suppliers/customers by adopting supply chain finance practices. Furthermore, this study will help understand the role of the competitive environment in supply chain finance decision-making.
Originality/value
The findings will help core firms better understand how implementing SCF benefits firm performance under high product competition, especially in emerging markets.
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Nripendra Singh, Anand Jaiswal and Tanuj Singh
The study aims to investigate the time for social media posts and reviews in order to determine the best timing to ensure maximum outreach and interactions from users. The study…
Abstract
Purpose
The study aims to investigate the time for social media posts and reviews in order to determine the best timing to ensure maximum outreach and interactions from users. The study intends to analytically investigate a company's Facebook and Instagram pages to get meaningful insights for effective post management.
Design/methodology/approach
“Great Deal Tires” company’s Facebook and Instagram business pages were taken as the case study and patterns and analytical insights for different posts using Facebook and Instagram analytics were identified. The study categorically selected posts from Facebook pages and Instagram pages that were posted at different times and assessed on their impact.
Findings
According to the study, Tuesday and Wednesday have higher engagement on the Great Deal Tires Facebook page, while Friday has higher engagement on Instagram. The study also provided valuable insights into post content and timing in order to increase the marketing impact of the posts.
Originality/value
The study provides an analytical framework for analyzing post and review timing on various company business pages, allowing marketers to initiate more user visits and interactions.