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Article
Publication date: 2 May 2019

Shankar Chakraborty, Prasenjit Chatterjee and Partha Protim Das

To meet the requirements of high-dimensional accuracy and surface finish of various advanced engineering materials for generating intricate part geometries…

Abstract

Purpose

To meet the requirements of high-dimensional accuracy and surface finish of various advanced engineering materials for generating intricate part geometries, non-traditional machining (NTM) processes have now become quite popular in manufacturing industries. To explore the fullest machining capability of these NTM processes, it is often required to operate them while setting their different controllable parameters at optimal levels. This paper aims to present a novel approach for selection of the optimal parametric mixes for different NTM processes in order to assist the concerned process engineers.

Design/methodology/approach

In this paper, design of experiments (DoE) and technique for order preference by similarity to ideal solution (TOPSIS) are combined to develop the corresponding meta-models for identifying the optimal parametric combinations of two NTM processes, i.e. electrical discharge machining (EDM) and wire electrical discharge machining (WEDM) processes with respect to the computed TOPSIS scores.

Findings

For EDM operation on Inconel 718 alloy, lower settings of open circuit voltage and pulse-on time and higher settings of peak current, duty factor and flushing pressure will simultaneously optimize all the six responses. On the other hand, for the WEDM process, the best machining performance can be expected to occur at a parametric combination of zinc-coated wire, lower settings of pulse-on time, wire feed rate and sensitivity and intermediate setting of pulse-off time.

Practical implications

As the development of these meta-models is based on the analysis of the experimental data, they are expected to be more practical, being immune to the introduction of additional parameters in the analysis. It is also observed that the derived optimal parametric settings would provide better values of the considered responses as compared to those already determined by past researchers.

Originality/value

This DoE–TOPSIS method-based approach can be applied to varieties of NTM as well as conventional machining processes to determine the optimal parametric combinations for having their improved machining performance.

Details

Journal of Modelling in Management, vol. 14 no. 2
Type: Research Article
ISSN: 1746-5664

Keywords

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Article
Publication date: 5 February 2018

Shankar Chakraborty, Partha Protim Das and Vidyapati Kumar

The purpose of this paper is to exploit the fullest potential and capability of different non-traditional machining (NTM) processes, it is often recommended to operate…

Abstract

Purpose

The purpose of this paper is to exploit the fullest potential and capability of different non-traditional machining (NTM) processes, it is often recommended to operate them at their optimal parametric combinations. There are several mathematical tools and techniques that have been effectively deployed for identifying the optimal parametric mixes for the NTM processes. Amongst them, grey relational analysis (GRA) has become quite popular due to its sound mathematical basis, ease to implement and apprehensiveness for multi-objective optimization of NTM processes.

Design/methodology/approach

In this paper, GRA is integrated with fuzzy logic to present an efficient technique for multi-objective optimization of three NTM processes (i.e. abrasive water-jet machining, electrochemical machining and ultrasonic machining) while identifying their best parametric settings for enhanced machining performance.

Findings

The derived results are validated with respect to technique for order preference by similarity to ideal solution (TOPSIS), and analysis of variance is also performed so as to identify the most significant control parameters in the considered NTM processes.

Practical implications

This grey-fuzzy logic approach provides better parametric combinations for all the three NTM processes with respect to the predicted grey-fuzzy relational grades (GFRG). The developed surface plots help the process engineers to investigate the effects of various NTM process parameters on the predicted GFRG values.

Originality/value

The adopted approach can be applied to various machining (both conventional and non-conventional) processes for their parametric optimization for achieving better response values.

Details

Grey Systems: Theory and Application, vol. 8 no. 1
Type: Research Article
ISSN: 2043-9377

Keywords

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Book part
Publication date: 9 March 2021

Abstract

Details

Global Tariff War: Economic, Political and Social Implications
Type: Book
ISBN: 978-1-80071-314-7

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Article
Publication date: 10 November 2014

Debajit Sarma, M. S. Akhtar, Partha Das, Puspita Das, Ganesh Gadiya, Neetu Shahi and A. Ciji

The present study aims to determine the proximate and mineral composition of important coldwater food fishes in the North Eastern Indian upland region to assess their…

Abstract

Purpose

The present study aims to determine the proximate and mineral composition of important coldwater food fishes in the North Eastern Indian upland region to assess their nutritional quality.

Design/methodology/approach

The paper is of original work and the analyses were performed using AOAC (1990). Data were analyzed by one-way analysis of variance (ANOVA) and determined by Duncan’s Multiple Range Test using SPSS (Version 19).

Findings

Crude protein levels ranged from 16-20 per cent, crude fat (CF) 9.60-1.54 per cent and ash 3.5-0.99 per cent. Moisture content was in the range of 71-78 per cent. The lowest moisture content was observed in Semiplotus semiplotus and highest in Labeo dero. Sodium, potassium and calcium content ranged from 92-309, 692-1435, 467-2021 mg/100g, respectively. Maximum concentration of potassium was found in Labeo dero followed by Labeo pangusia. Selenium was most abundant in L. dero, Labeo dyocheilus, Sanguina sanguine, Barilius bendelisis, Garra mullya, L. pangusia and Neolissochilus hexagonolepis. The maximum level of iron was evidenced in Tor tor.

Originality/value

The results obtained revealed that all the ten studied fishes are rich sources of nutrients including protein, macro and micro-minerals, which will be a healthy addition to human diet and will act as a ready reference for the nutritionists and other stakeholders.

Details

Nutrition & Food Science, vol. 44 no. 6
Type: Research Article
ISSN: 0034-6659

Keywords

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Book part
Publication date: 20 November 2018

Abstract

Details

Including a Symposium on Latin American Monetary Thought: Two Centuries in Search of Originality
Type: Book
ISBN: 978-1-78756-431-2

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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

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Abstract

Details

The Impacts of Monetary Policy in the 21st Century: Perspectives from Emerging Economies
Type: Book
ISBN: 978-1-78973-319-8

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Book part
Publication date: 2 September 2019

Abstract

Details

The Impacts of Monetary Policy in the 21st Century: Perspectives from Emerging Economies
Type: Book
ISBN: 978-1-78973-319-8

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Article
Publication date: 13 June 2019

Partha Pratim Ray, Dinesh Dash and Debashis De

Background: Every so often, one experiences different physically unstable situations which may lead to possibilities of suffering through vicious physiological risks and…

Abstract

Purpose

Background: Every so often, one experiences different physically unstable situations which may lead to possibilities of suffering through vicious physiological risks and extents. Dynamic physiological activities are such a key metric that they are perceived by means of measuring galvanic skin response (GSR). GSR represents impedance of human skin that frequently changes based on different human respiratory and physical instability. Existing solutions, paved in literature and market, focus on the direct measurement of GSR by two sensor-attached leads, which are then parameterized against the standard printed circuit board mechanism. This process is sometimes cumbersome to use, resulting in lower user experience provisioning and adaptability in livelihood activities. The purpose of this study is to validate the novel development of the cost-effective GSR sensing system for affective usage for smart e-healthcare.

Design/methodology/approach

This paper proposes to design and develop a flexible circuit strip, populated with essential circuitry assemblies, to assess and monitor the level of GSR. Ordinarily, this flexible system would be worn on the back palm of the hand where two leads would contact two sensor strips worn on the first finger.

Findings

The system was developed on top of Pyralux. Initial goals of this work are to design and validate a flexible film-based GSR system to detect an individual’s level of human physiological activities by acquiring, amplifying and processing GSR data. The measured GSR value is visualized “24 × 7” on a Bluetooth-enabled smartphone via a pre-incorporated application. Conclusion: The proposed sensor-system is capable of raising the qualities such as adaptability, user experience, portability and ubiquity for possible application of monitoring of human psychodynamics in a more cost-effective way, i.e. less than US$50.

Practical implications

Several novel attributes are envisaged in the development process of the GSR system that made it different from and unique as compared to the existing alternatives. The attributes are as follows: (i) use of reproductive sensor-system fabrication process, (ii) use of flexible-substrate for hosting the system as proof of concept, (iii) use of miniaturized microcontroller, i.e. ATTiny85, (iv) deployment of energy-efficient passive electrical circuitry for noise filtering, (v) possible use case scenario of using CR2032 coin battery for provisioning powering up the system, (vi) provision of incorporation of internet of things (IoT)-cloud integration in existing version while fixing related APIs and (vii) incorporation of heterogeneous software-based solutions to validate and monitor the GSR output such as MakerPlot, Arduino IDE, Fritzing and MIT App Inventor 2.

Originality/value

This paper is a revised version R1 of the earlier reviewed paper. The proposed paper provides novel knowledge about the flexible sensor system development for GSR monitoring under IoT-based environment for smart e-healthcare.

Details

Sensor Review, vol. 39 no. 4
Type: Research Article
ISSN: 0260-2288

Keywords

Content available
Book part
Publication date: 26 November 2019

Abstract

Details

The Gains and Pains of Financial Integration and Trade Liberalization
Type: Book
ISBN: 978-1-83867-004-7

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