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Article
Publication date: 29 January 2021

Shiva Singh, Piyush Verma and Subrata Kumar Ghosh

This study aims to present the experimental and computational performance analysis in compact plate heat exchanger (PHE) using graphene oxide nanofluids at different…

Abstract

Purpose

This study aims to present the experimental and computational performance analysis in compact plate heat exchanger (PHE) using graphene oxide nanofluids at different concentrations and flow rate.

Design/methodology/approach

Field emission scanning electron microscope and X-ray diffraction were used to characterize graphene oxide nanoparticles. The nanofluid samples were prepared by varying volume concentration. Zeta potential test was done to check stability of samples. The thermophysical properties of samples have been experimentally measured. The experimental setup of PHE with 60° chevron angle has also been developed. The numerical analysis is done using computational fluid dynamics (CFD) model having similar geometry as of the actual plate. Distilled water at fixed temperature and flow rate is used in hot side tank. Nanofluid at fixed temperature with varying concentration and flow rate is used in cold side tank as coolant.

Findings

The numerical and experimental results were compared and found that both results were in good agreement. The results showed ∼13% improvement in thermal conductivity, ∼14% heat transfer rate (HTR), ∼9% in effectiveness and ∼10% in overall heat transfer coefficient at cost of pressure drop and pumping power using nanofluid. Exergy loss also decreased using nanofluid at optimum concentration of 1 Vol.%.

Originality/value

The CFD model can be significant to analyze temperature, pressure and flow distribution in heat exchanger which is impossible otherwise. This study gives ease to predict PHE performance with high accuracy without performing the experiment.

Details

International Journal of Numerical Methods for Heat & Fluid Flow, vol. 31 no. 11
Type: Research Article
ISSN: 0961-5539

Keywords

Article
Publication date: 1 March 1992

P.K. GHOSH, A. SARKAR and V.M.K. SASTRI

Natural convection in a square cavity with a centrally located partition is considered. While one of the side walls is fully active, the other is partly insulated…

Abstract

Natural convection in a square cavity with a centrally located partition is considered. While one of the side walls is fully active, the other is partly insulated. Numerical simulation, based on the finite element method, has been carried out for different lengths of the active surface. The results have been compared with the cases when the cavity is without partition as well as the case of a partitioned cavity with fully active side walls.

Details

International Journal of Numerical Methods for Heat & Fluid Flow, vol. 2 no. 3
Type: Research Article
ISSN: 0961-5539

Keywords

Article
Publication date: 3 December 2021

Shiva Singh and Subrata Kumar Ghosh

The study aims to use nanofluids as coolants for improving heat transfer peculiarities of plate heat exchangers (PHE). The experimental and numerical investigations are…

Abstract

Purpose

The study aims to use nanofluids as coolants for improving heat transfer peculiarities of plate heat exchangers (PHE). The experimental and numerical investigations are thoroughly performed using distilled water-based Al2O3, graphene nanoplatelet (GnP) and multi-walled carbon nanotubes (MWCNT) nanofluids.

Design/methodology/approach

The numerical simulation based on Single Phase Model (SPM) was performed on a realistic 3 D model of PHE having similar dimensions as of the actual plate. The standard k-epsilon turbulent model was used to solve the problem. The concentration and flow rate of nanofluids were ranging from 0.1 to 1 Vol.% and 1 to 5 lpm, respectively, at 30°C. Whereas, hot side fluid is distilled water at 2 lpm and 80°C. The heat transfer characteristics such as bulk cold outlet temperature, heat transfer rate (HTR), heat transfer coefficient (HTC), Nusselt number (Nu), pressure drop, pumping power, effectiveness and exergy loss were experimentally evaluated using nanofluids in a PHE.

Findings

The experimental results were then compared with the numerical model. The experimental results revealed maximum enhancement in an average heat transfer rate of 9.86, 14.86 and 17.27% using Al2O3, GnP and MWCNT nanofluids, respectively, at 1 Vol.%. The present computational fluid dynamics model accurately predicts HTR, and the results deviate <1.1% with experiments for all the cases. The temperature and flow distribution show promising results using nanofluids.

Originality/value

The study helps to visualise heat transfer and flow distribution in PHE using different nanofluids under different operating conditions.

Details

International Journal of Numerical Methods for Heat & Fluid Flow, vol. 32 no. 8
Type: Research Article
ISSN: 0961-5539

Keywords

Article
Publication date: 26 October 2021

Patanjal Kumar, Dheeraj Sharma and Peeyush Pandey

An apparel supply chain primarily consists of geographically distant suppliers, manufacturers and retailers. The coordination among the members of the supply chain becomes…

Abstract

Purpose

An apparel supply chain primarily consists of geographically distant suppliers, manufacturers and retailers. The coordination among the members of the supply chain becomes difficult when we consider the triple bottom line of sustainability in it. Moreover, the complexity increases with the change in dominance power of the respective members. However, the task of managing the channel further becomes complicated after incorporating sustainability and dominance power simultaneously into the supply chain. To fill this gap, this paper focuses on designing of mechanism and demonstration of three-echelon model to coordinate sustainable supply chain.

Design/methodology/approach

In this paper, the noncooperative game theoretic method has been applied for the exploration of models. The various structures of the centralized and decentralized supply chain are considered on the basis of a player's dominance power. The model uses simultaneous and sequential move games to analyze optimal profit of supply chain agents, total channel profit, green innovation level and corporate social innovation level.

Findings

Analytical results show that simultaneous game performs better than the sequential game. The consumer sensitivity toward green and social innovations increases total channel profit. We also proposed a linear two-part tariff contract model. The proposed model enhances the sustainability level and leads to perfect channel coordination. Using a numerical example, we present the effectiveness of multiple game structures under centralized and decentralized settings. The results reveal that channel efficiency is the highest in the two-part tariff contract followed by a simultaneous move game structure and lower in the cases of sequential move game.

Research limitations/implications

In this research, model setting are deterministic and there is no any information asymmetry. Therefore researchers are encouraged to study multiechelon sustainable supply chain coordination models under stochastic and information asymmetry settings.

Practical implications

The paper includes implications for the development of sustainable supply chain coordination model to tackle the problems of dominance power, sustainability issues and lower channel efficiency of supply chain.

Originality/value

This study proposes game-theory-based three-echelon sustainable supply chain for the channel coordination.

Details

International Journal of Quality & Reliability Management, vol. 39 no. 3
Type: Research Article
ISSN: 0265-671X

Keywords

Article
Publication date: 1 April 1949

It has often been said that a great part of the strength of Aslib lies in the fact that it brings together those whose experience has been gained in many widely differing…

Abstract

It has often been said that a great part of the strength of Aslib lies in the fact that it brings together those whose experience has been gained in many widely differing fields but who have a common interest in the means by which information may be collected and disseminated to the greatest advantage. Lists of its members have, therefore, a more than ordinary value since they present, in miniature, a cross‐section of institutions and individuals who share this special interest.

Details

Aslib Proceedings, vol. 1 no. 4
Type: Research Article
ISSN: 0001-253X

Article
Publication date: 4 September 2017

Subhash C. Kundu and Kusum Lata

The purpose of the present study is to investigate the mediating effect of organizational engagement in the relationship between supportive work environment (SWE) and…

10307

Abstract

Purpose

The purpose of the present study is to investigate the mediating effect of organizational engagement in the relationship between supportive work environment (SWE) and employee retention.

Design/methodology/approach

Primary data of 211 respondents from 67 organizations were analysed. Confirmatory factor analysis was used to assess the dimensionality and validity of study variables. Further, the hypothesized model was tested with the help of multiple regression analysis.

Findings

The findings suggest that SWE plays a crucial role in predicting employee retention. Organizational engagement partially mediates the relationship between SWE and employee retention.

Research limitations/implications

The data were limited to the Indian setting and of cross-sectional design only; so, it may not be generalized across the world. Further, the sample size is also comparatively smaller but the results are not affected adversely.

Originality/value

The role of SWE along with organizational engagement is currently under-researched in the Indian context. The present study is an intense effort to analyse the mediating effect of organizational engagement in the relationship between SWE and employee retention.

Details

International Journal of Organizational Analysis, vol. 25 no. 4
Type: Research Article
ISSN: 1934-8835

Keywords

Article
Publication date: 1 January 1983

P.K. Ghosh

The following article was published in ‘Self‐Reliance’, the Journal of The Fertiliser (Planning & Development) India Ltd., CIFT Buildings, P.O. Sindri, Pin: 828 122…

Abstract

The following article was published in ‘Self‐Reliance’, the Journal of The Fertiliser (Planning & Development) India Ltd., CIFT Buildings, P.O. Sindri, Pin: 828 122, Bihar, India. The author recounts how they dealt with some serious corrosion problem in the naphtha vapouriser section of an ammonia plant.

Details

Anti-Corrosion Methods and Materials, vol. 30 no. 1
Type: Research Article
ISSN: 0003-5599

Article
Publication date: 18 October 2018

Subhamita Chakraborty, Prasun Das, Naveen Kumar Kaveti, Partha Protim Chattopadhyay and Shubhabrata Datta

The purpose of this paper is to incorporate prior knowledge in the artificial neural network (ANN) model for the prediction of continuous cooling transformation (CCT…

Abstract

Purpose

The purpose of this paper is to incorporate prior knowledge in the artificial neural network (ANN) model for the prediction of continuous cooling transformation (CCT) diagram of steel, so that the model predictions become valid from materials engineering point of view.

Design/methodology/approach

Genetic algorithm (GA) is used in different ways for incorporating system knowledge during training the ANN. In case of training, the ANN in multi-objective optimization mode, with prediction error minimization as one objective and the system knowledge incorporation as the other, the generated Pareto solutions are different ANN models with better performance in at least one objective. To choose a single model for the prediction of steel transformation, different multi-criteria decision-making (MCDM) concepts are employed. To avoid the problem of choosing a single model from the non-dominated Pareto solutions, the training scheme also converted into a single objective optimization problem.

Findings

The prediction results of the models trained in multi and single objective optimization schemes are compared. It is seen that though conversion of the problem to a single objective optimization problem reduces the complexity, the models trained using multi-objective optimization are found to be better for predicting metallurgically justifiable result.

Originality/value

ANN is being used extensively in the complex materials systems like steel. Several works have been done to develop ANN models for the prediction of CCT diagram. But the present work proposes some methods to overcome the inherent problem of data-driven model, and make the prediction viable from the system knowledge.

Details

Multidiscipline Modeling in Materials and Structures, vol. 15 no. 1
Type: Research Article
ISSN: 1573-6105

Keywords

Book part
Publication date: 28 August 2020

Michela Mari and Sara Poggesi

Entrepreneurship and small- and medium-sized enterprises (SMEs) play a pivotal role in the socio-economic development worldwide. They are, indeed, recognised as important…

Abstract

Entrepreneurship and small- and medium-sized enterprises (SMEs) play a pivotal role in the socio-economic development worldwide. They are, indeed, recognised as important economic drivers as their activities can boost economic growth in various ways, such as being source of employment, promoting equality among socio-economic groups, and fostering the development of new products. In line with this, SMEs contribution to innovation has been extensively investigated by researchers and policymakers. European Union, for example, has developed numerous programmes to foster innovation in and by SMEs, even identifying, categorizing, and periodically analysing the so-called ‘innovative SMEs’.

However, very scant is the attention, at the international level, devoted to the analysis of the role of gender in innovation per se and in innovative SMEs. This chapter fits into this underinvestigated stream of research by specifically analysing the impact, if any, of gender on Italian innovative SMEs’ performance.

Details

The Entrepreneurial Behaviour: Unveiling the cognitive and emotional aspect of entrepreneurship
Type: Book
ISBN: 978-1-78973-508-6

Keywords

Article
Publication date: 24 April 2009

Maitrayee Ghosh and Ipsheet Ghosh

The purpose of this paper is to describe the progress India has made in its move towards a knowledge‐based economy with details of how the Indian Government has…

3208

Abstract

Purpose

The purpose of this paper is to describe the progress India has made in its move towards a knowledge‐based economy with details of how the Indian Government has demonstrated its commitment to the development of fundamental pillars of knowledge sharing infrastructure, knowledge workers and a knowledge innovation system. Libraries are identified as key players in building an inclusive knowledge economy (KE) for a country.

Design/methodology/approach

An empirical study of the initiatives taken by Government of India as well as premier institutions and non‐governmental organisations in the area of information literacy, lifelong learning and knowledge repository development was undertaken. These are reviewed to report on the contribution each of them has made in the development of KE in India.

Findings

The practice‐based examples of how information and communication technology (ICT) projects are influencing contemporary Indian society and an account of government policies in regard to ICT implementation and development towards a KE are presented. The impediments in the process of KE in India are identified and recommendations are made.

Originality/value

This is an attempt to bring together initiatives and projects initiated by the Government of India as well as other agencies aimed at developing a knowledge‐based society which will ultimately lead to a KE in India.

Details

Program, vol. 43 no. 2
Type: Research Article
ISSN: 0033-0337

Keywords

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