A study of step bearing lubricated with a ferrofluid was made in this paper. Shah and Bhat considered the term μ0M(∂H/∂x) of ferrofluid as lubricant. The present paper discusses…
Abstract
A study of step bearing lubricated with a ferrofluid was made in this paper. Shah and Bhat considered the term μ0M(∂H/∂x) of ferrofluid as lubricant. The present paper discusses the problem with the modified term as μ0M (∂H/∂x)+(16πμ0r3χM)/(9(l+2)3)(∂H/∂x) of ferrofluid which incorporates more properties of ferrofluids. Expressions for pressure under the two steps and load carrying capacity were obtained. It was observed that the use of ferrofluid increases the load capacity of the bearing. Also load capacity become more when the length of the first step was taken less.
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Ferrofluid lubrication of a porous secant shaped slider bearing was analysed considering slip velocity at the interface of film and porous regions. Expressions for various bearing…
Abstract
Ferrofluid lubrication of a porous secant shaped slider bearing was analysed considering slip velocity at the interface of film and porous regions. Expressions for various bearing characteristics were obtained. Computed values of dimensionless load capacity of the bearing, friction force on the moving slider, coefficient of friction and the position of the centre of pressure were displayed in a tabular form. The load capacity, friction and coefficient of friction decreased when the slip parameter increased. But, the load capacity as well as friction decreased and the coefficient of friction increased when the permeability parameter increased. The position of the centre of pressure was not significantly altered when the slip parameter increased. But, it slowly moved towards the inlet when the permeability parameter increased.
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Our purpose was to theoretically analyse the effects of slip velocity and a magnetic fluid lubricant characterised by a material parameter on a parallel plate porous slider…
Abstract
Purpose
Our purpose was to theoretically analyse the effects of slip velocity and a magnetic fluid lubricant characterised by a material parameter on a parallel plate porous slider bearing. Various special cases were also discussed.
Design/methodology/approach
The analysis might be useful in designing better slider bearings useful in machines like gas turbines.
Findings
Computed values displayed in tabular form show that frictional force on the slider and the coefficient of friction decreased, the load capacity and the position of the centre of pressure unaltered when the slip parameter was increased. On the other hand, increase in the material parameter caused decrease in the frictional force and the coefficient of friction and, shift of the position of the centre of pressure towards the bearing inlet with no change in the load capacity of the bearing.
Originality/value
The parallel plate slider bearing cannot support a load with a conventional lubricant. However, it can support a load with a magnetic fluid lubricant with less frictional force on the slider.
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Rajesh Shah, Blerim Gashi, Vikram Mittal, Andreas Rosenkranz and Shuoran Du
Tribological research is complex and multidisciplinary, with many parameters to consider. As traditional experimentation is time-consuming and expensive due to the complexity of…
Abstract
Purpose
Tribological research is complex and multidisciplinary, with many parameters to consider. As traditional experimentation is time-consuming and expensive due to the complexity of tribological systems, researchers tend to use quantitative and qualitative analysis to monitor critical parameters and material characterization to explain observed dependencies. In this regard, numerical modeling and simulation offers a cost-effective alternative to physical experimentation but must be validated with limited testing. This paper aims to highlight advances in numerical modeling as they relate to the field of tribology.
Design/methodology/approach
This study performed an in-depth literature review for the field of modeling and simulation as it relates to tribology. The authors initially looked at the application of foundational studies (e.g. Stribeck) to understand the gaps in the current knowledge set. The authors then evaluated a number of modern developments related to contact mechanics, surface roughness, tribofilm formation and fluid-film layers. In particular, it looked at key fields driving tribology models including nanoparticle research and prosthetics. The study then sought out to understand the future trends in this research field.
Findings
The field of tribology, numerical modeling has shown to be a powerful tool, which is both time- and cost-effective when compared to standard bench testing. The characterization of tribological systems of interest fundamentally stems from the lubrication regimes designated in the Stribeck curve. The prediction of tribofilm formation, film thickness variation, fluid properties, asperity contact and surface deformation as well as the continuously changing interactions between such parameters is an essential challenge for proper modeling.
Originality/value
This paper highlights the major numerical modeling achievements in various disciplines and discusses their efficacy, assumptions and limitations in tribology research.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-03-2023-0076/
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Manoj Joshi, Apoorva Srivastava and Varun Ashwini Aggarwal
The case aims to deal with multigenerational entrepreneurship. The family business of sports goods was initiated by Yashpal Aggarwal and his friends in the 1950s. Yashpal acquired…
Abstract
Purpose
The case aims to deal with multigenerational entrepreneurship. The family business of sports goods was initiated by Yashpal Aggarwal and his friends in the 1950s. Yashpal acquired the art of doing business and started initially with trading of sporting goods in Mumbai. Yashpal had three sons, Ashok, Ashwini and Rajesh, who ventured into sports trading business as well. After the demise of Yashpal, Ashok shifted to Jalandhar and started a manufacturing unit, producing roller skates. Ashwini, being entrepreneurial and innovative, had always desired to professionalise the business and hence started with Okini Sports. Okini Sports emerged as the first organised professional sports mall in India.
Design/methodology/approach
Based on case research, individual interviews at different levels, testing the case several times and filling the case gaps during the process to authenticate information, multiple sources of information have been used.
Findings
Businesses largely compete on the basis of available talent, competency and capability. Family businesses must be open to induct competent people within the family with the required skills to lead the company. If a family nurtures a member with requisite skills, values, to keep shareholders, key customers, and suppliers loyal to the business, then family leadership is the best option. As the business grows in dimension, differential capabilities are required to run the business competitively, hence, inducting talented individuals as professionals is a better option. A family must be realistic about the talents available internally.
Research limitations/implications
This case is restricted to sports family business entrepreneurship in the context of India, but has a great learning towards multigenerational entrepreneurship.
Originality/value
The case is original with the family in its fourth generation, the youngest looking to diversify and professionalize the business, set his family dreams of setting up the biggest sports mall in India.
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Rajesh Kr. Singh, Ravinder Kumar and Pravin Kumar
In the present context of a health-concious society, management of pharmaceutical supply chains has become more complex because it involves the life-saving interest of human being…
Abstract
Purpose
In the present context of a health-concious society, management of pharmaceutical supply chains has become more complex because it involves the life-saving interest of human being and requires the participation of different stakeholders such as pharmaceutical manufacturers, wholesalers, distributors, customers, information service providers and regulatory agencies. Limited research is available in the area of pharmaceutical supply chains. This paper aims to find the gaps in the literature by reviewing research papers on different strategic issues of supply chain management in the pharmaceutical sector.
Design/methodology/approach
In total, 136 research papers, mainly from refereed international journals, were reviewed to identify the issues of supply chain management (SCM) in the pharmaceutical supply chain. On the basis of a review, gaps are identified and research agenda is proposed.
Findings
It is observed from review that the pharmaceutical sector is not widely researched in developing countries because of many complexities in this supply chain. The share of pharmaceutical firms in the global market is also not very significant. Based on an extensive review of pharmaceutical supply chains, research gaps are identified in different areas such as inventory management, new product development, process development, capacity planning, network design, plant design, pipeline and development management, outsourcing logistics activities, reverse logistics, Lean manufacturing, green SCM and implementation of E-business processes and performance management. These strategic issues have been further classified into three broad categories, i.e. resources, processes and performance.
Originality/value
This paper explores major strategic areas of pharmaceutical supply chains for research. Findings of the paper will be highly useful for researchers to decide direction of future research.
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Harsh M. Shah, Bhaskar B. Gardas, Vaibhav S. Narwane and Hitansh S. Mehta
This paper aims to conduct a systematic literature review of the research in the field of Artificial Intelligence (AI) and Big Data Analytics (BDA) in Supply Chain Risk Management…
Abstract
Purpose
This paper aims to conduct a systematic literature review of the research in the field of Artificial Intelligence (AI) and Big Data Analytics (BDA) in Supply Chain Risk Management (SCRM). Finally, future research directions in this field have been suggested.
Design/methodology/approach
The papers were searched using a set of keywords in the SCOPUS database. These papers were filtered using the Title abstract keywords principle. Further, more papers were found using the forward-backward referencing method. The finalized papers were then classified into eight categories.
Findings
The previous papers in AI and BDA in SCRM were studied. These papers emphasized various modelling and application techniques for AI and BDA in making the supply chain (SC) more resilient. It was found that more research has been done into conceptual modelling rather than real-life applications. It was seen that the use of AI-based techniques and structural equation modelling was prominent.
Practical implications
AI and BDA help build the risk profile, which will guide the decision-makers and risk managers make their decisions quickly and more effectively, reducing the risks on the SC and making it resilient. Other than this, they can predict the risks in disasters, epidemics and any further disruption. They also help select the suppliers and location of the various elements of the SC to reduce the lead times.
Originality/value
The paper suggests various future research directions that fellow researchers can explore. None of the previous research examined the role of BDA and AI in SCRM.
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Shweta V. Matey, Dadarao N. Raut, Rajesh B. Pansare and Ravi Kant
Blockchain technology (BCT) can play a vital role in manufacturing industries by providing visibility and real-time transparency. With BCT adoption, manufacturers can achieve…
Abstract
Purpose
Blockchain technology (BCT) can play a vital role in manufacturing industries by providing visibility and real-time transparency. With BCT adoption, manufacturers can achieve higher productivity, better quality, flexibility and cost-effectiveness. The current study aims to prioritize the performance metrics and ranking of enablers that may influence the adoption of BCT in manufacturing industries through a hybrid framework.
Design/methodology/approach
Through an extensive literature review, 4 major criteria with 26 enablers were identified. Pythagorean fuzzy analytical hierarchy process (AHP) method was used to compute the weights of the enablers and the Pythagorean fuzzy combined compromise solution (Co-Co-So) method was used to prioritize the 17-performance metrics. Sensitivity analysis was then carried out to check the robustness of the developed framework.
Findings
According to the results, data security enablers were the most significant among the major criteria, followed by technology-oriented enablers, sustainability and human resources and quality-related enablers. Further, the ranking of performance metrics shows that data hacking complaints per year, data storage capacity and number of advanced technologies available for BCT are the top three important performance metrics. Framework robustness was confirmed by sensitivity analysis.
Practical implications
The developed framework will contribute to understanding and simplifying the BCT implementation process in manufacturing industries to a significant level. Practitioners and managers may use the developed framework to facilitate BCT adoption and evaluate the performance of the manufacturing system.
Originality/value
This study can be considered as the first attempt to the best of the author’s knowledge as no such hybrid framework combining enablers and performance indicators was developed earlier.