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Book part
Publication date: 8 April 2024

Amaresh Panda and Sanjay Mohapatra

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The Online Healthcare Community
Type: Book
ISBN: 978-1-83549-141-6

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Book part
Publication date: 14 February 2022

Satya Banerjee, Sanjay Mohapatra and M. Bharati

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AI in Fashion Industry
Type: Book
ISBN: 978-1-80262-633-9

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Book part
Publication date: 26 April 2021

Rajalakshmi Subramaniam, Senthilkumar Nakkeeran and Sanjay Mohapatra

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Team Work Quality
Type: Book
ISBN: 978-1-80117-263-9

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Book part
Publication date: 26 January 2022

N. Muthukumar, K. Ganesh, Sanjay Mohapatra, K. Tamizhjyothi, R. M. Nachiappan and M. Bharati

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Organizational Culture and Its Impact on Continuous Improvement in Manufacturing
Type: Book
ISBN: 978-1-80262-404-5

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Book part
Publication date: 5 May 2021

Jose Joy Thoppan, M. Punniyamoorthy, K. Ganesh and Sanjay Mohapatra

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Developing an Effective Model for Detecting Trade-based Market Manipulation
Type: Book
ISBN: 978-1-80117-397-1

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Book part
Publication date: 20 February 2023

Bharati Mohapatra, Sanjana Mohapatra and Sanjay Mohapatra

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Process Automation Strategy in Services, Manufacturing and Construction
Type: Book
ISBN: 978-1-80455-144-8

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Article
Publication date: 23 May 2023

Taraprasad Mohapatra and Sudhansu Sekhar Mishra

The study aims to verify and establish the result of the most suitable optimization approach for higher performance and lower emission of a variable compression ratio (VCR) diesel…

142

Abstract

Purpose

The study aims to verify and establish the result of the most suitable optimization approach for higher performance and lower emission of a variable compression ratio (VCR) diesel engine. In this study, three types of test fuels are taken and tested in a variable compression ratio diesel engine (compression ignition). The fuels used are conventional diesel fuel, e-diesel (85% diesel-15% bioethanol) and nano-fuel (85% diesel-15% bioethanol-25 ppm Al2O3). The effect of bioethanol and nano-particles on performance, emission and cost-effectiveness is investigated at different load and compression ratios (CRs). The optimum performance and lower emission of the engine are evaluated and compared with other optimization methods.

Design/methodology/approach

The test engine is run by diesel, e-diesel (85% diesel-15% bioethanol) and nano-fuel (85% diesel-15% bioethanol-25 ppm Al2O3) in three different loadings (4 kg, 8 kg and 12 kg) and CR of 14, 16 and 18, respectively. The optimum value of energy efficiency, exergy efficiency, NOX emission and relative cost variation are determined against the input parameters using Taguchi-Grey method and confirmed by response surface methodology (RSM) technique.

Findings

Using Taguchi-Grey method, the maximum energy and exergy efficiency, minimum % relative cost variation and NOX emission are 24.64%, 59.52%, 0 and 184 ppm, respectively, at 4 kg load, 18 CR and fuel type of nano-fuel. Using RSM technique, maximum energy and exergy efficiency are 24.8% and 62.9%, and minimum NOX emission and % cost variation are 208.4 ppm and –6.5, respectively, at 5.2 kg load, 18 CR and nano-fuel. The RSM is suggested as the most appropriate technique for obtaining maximum energy and exergy efficiency, and minimum % relative cost; however, for lowest possible NOX emission, the Taguchi-Grey method is the most appropriate.

Originality/value

Waste rice straw is used to produce bioethanol. 4-E analysis, i.e. energy, exergy, emission and economic analysis, has been carried out, optimized and compared.

Details

World Journal of Engineering, vol. 21 no. 4
Type: Research Article
ISSN: 1708-5284

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Article
Publication date: 3 April 2019

Jashanpreet Singh, Satish Kumar and S.K. Mohapatra

This study/paper aims to investigate the erosion wear performance of Ni-based coatings [Ni-Cr-O and NiCrBSiFe-WC(Co)] under sand-water slurry conditions.

187

Abstract

Purpose

This study/paper aims to investigate the erosion wear performance of Ni-based coatings [Ni-Cr-O and NiCrBSiFe-WC(Co)] under sand-water slurry conditions.

Design/methodology/approach

A high-velocity oxy-fuel (HVOF) process was used to deposit the Ni-based coatings [Ni-Cr-O and NiCrBSiFe-WC(Co)] on the surface of stainless steel (SS 316L) substrate. A Ducom TR-41 erosion tester was used to conduct the tribological experiments on bare/HVOF coated SS 316L. The erosion wear experiments were carried out for different time durations (1.30-3.00 h) at different impact angles (0-60°) by running the pot tester at different rotational speeds (600-1,500 rev/min). The solid concentration of sand slurry was taken in the range of 30-60 Wt.%. The surface roughness of Ni-based coated surfaces was also measured along the transverse length of the specimens.

Findings

Results show the arithmetic mean roughness (Ra) values of Ni-Cr-O and NiCrBSiFe-WC coated SS-316L were 7.04 and 6.67 µm, respectively. The erosion wear SS-316L was almost 3.5 ± 1.5 times greater than that of the NiCrBSiFe-WC coatings. NiBCrSi-WC(Co) sprayed SS-316L showed lower erosion wear than Ni-Cr-O sprayed SS-316L. Microscopically, the eroded Ni-Cr-O coating underwent plowing, microcutting and craters. Ni-Cr-O coating have shown the ductile nature of erosion wear mechanism. NiBCrSi-WC(Co) surface underwent craters, plowing, carbide/boride pullout, fractures and intact. Erosion wear mechanisms on the eroded surface of NiBCrSi-WC(Co) were neither purely ductile nor brittle.

Practical implications

It is a useful technique to estimate the erosion wear of hydraulic machinery coated with Ni-based coatings imposed under mining conditions.

Originality/value

The erosion wear performance of HVOF-sprayed Ni-Cr-O and NiCrBSiFe-WC(Co) powders was investigated through extensive experimentation, and the results are well supported by scanning electron micrographs and 3D topology.

Details

Industrial Lubrication and Tribology, vol. 71 no. 4
Type: Research Article
ISSN: 0036-8792

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Article
Publication date: 13 May 2021

Supriyo De, Sanket Mohapatra and Dilip Ratha

Relative risk ratings measure the degree by which a country’s sovereign rating is better or worse than other countries (Basu et al., 2013). However, the literature on the impacts…

311

Abstract

Purpose

Relative risk ratings measure the degree by which a country’s sovereign rating is better or worse than other countries (Basu et al., 2013). However, the literature on the impacts of sovereign ratings on capital flows has not covered the role of relative risk ratings. This paper aims to examine the effect of relative risk ratings on private capital flows to emerging and frontier market economies is filled. In the analysis, the effect of relative risk ratings to that of absolute sovereign ratings in influencing private capital flows are compared.

Design/methodology/approach

This paper examines the influence of sovereign credit ratings and relative risk ratings on private capital flows to 26 emerging and frontier market economies using quarterly data for a 20-year period between 1998 and 2017. A dynamic panel regression model is used to estimate the relationship between ratings and capital flows after controlling for other factors that can influence capital flows such as growth and interest rate differentials and global risk conditions.

Findings

The analysis finds that while absolute sovereign credit ratings were an important determinant of net capital inflows prior to the global financial crisis in 2008, the influence of relative risk ratings increased in the post-crisis period. The post-crisis effect of relative ratings appears to be driven mostly by portfolio flows. The main results are robust to an alternate measure of capital flows (gross capital flows instead of net capital flows), to the use of fixed gross domestic product weights in calculating relative risk ratings and to the potential endogeneity of absolute and relative ratings.

Originality/value

This study advances the literature on being the first attempt to understand the impact of relative risk ratings on capital flows and also comparing the impact of absolute sovereign ratings and relative risk ratings on capital flows in the pre- and post-global financial crisis periods. The findings imply that emerging and frontier markets need to pay greater attention to their relative economic performance and not just their sovereign ratings.

Details

Studies in Economics and Finance, vol. 38 no. 4
Type: Research Article
ISSN: 1086-7376

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Article
Publication date: 13 January 2012

Vidyashankar Gourishankar and Prakash Sai Lokachari

In pursuit of achieving Education‐For‐All goals of universal primary education and improving quality of education, the Indian Government has been providing substantial resources…

1411

Abstract

Purpose

In pursuit of achieving Education‐For‐All goals of universal primary education and improving quality of education, the Indian Government has been providing substantial resources to Indian states. The responsibility of providing access and quality remains the states' responsibility. Assessment of educational development will therefore become a focal point of the Center for Education Policy & Guidelines Formulation. While educational development indices help in ranking states, they do not help in capturing best practices and assessing the efficient utilization of resources. Assessment of the Educational Development Efficiency can augment educational development indices in vogue. The purpose of this paper is to develop an Educational Development Efficiency (EDE) model to benchmark the Indian states.

Design/methodology/approach

This paper uses an input‐process‐output conceptual framework to identify the dimensions of educational development. This paper employs Data Envelopment Analysis (DEA) to compare relative efficiency of 28 states and seven Union territories in India and benchmark them. In order to strengthen the discriminatory power of DEA, cross‐efficiency model was used. Factor analysis was performed to determine the inter‐relationships between variables. The efficiency impacting variables were identified using multiple regression analysis.

Findings

This paper benchmarked Indian states on educational development based on their performance. Gross enrolment ratio, students' academic performance and infrastructural investments were identified as the three key variables impacting states' EDE. This paper has shown that the educational administrators can use the EDE model to identify the best practices from efficient states. Insights into utilization of input resources to enhance educational development and consequent improvement of state efficiencies are presented. Four components have been identified to analyze the states' educational development progress – namely, financial adequacy, school resource strength, educational quality and educational access.

Practical implications

Contributions of this paper pertain to evolving a decision support model for national education policy planners, besides providing analytic support to the administrators of the states to benchmark and emulate the efficient educational programs.

Originality/value

This paper is one of the few published studies concerning the evaluation of educational development programs launched in the Indian schools and providing a cross‐comparison of the Indian states for the purposes of performance benchmarking as well as exploring the influencing factors.

Details

International Journal of Educational Management, vol. 26 no. 1
Type: Research Article
ISSN: 0951-354X

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