S
Saurav Datta
Researcher at National Institute of Technology, Rourkela
Publications - 218
Citations - 4015
Saurav Datta is an academic researcher from National Institute of Technology, Rourkela. The author has contributed to research in topics: Machining & Taguchi methods. The author has an hindex of 30, co-authored 209 publications receiving 3217 citations. Previous affiliations of Saurav Datta include B. P. Poddar Institute of Management & Technology & Jadavpur University.
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Grey-based taguchi method for optimization of bead geometry in submerged arc bead-on-plate welding
TL;DR: In this paper, a multi-response optimization problem has been developed in search of an optimal parametric combination to yield favorable bead geometry of submerged arc bead-on-plate weldment.
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Modeling, simulation and parametric optimization of wire EDM process using response surface methodology coupled with grey-Taguchi technique
TL;DR: In this paper, a quadratic mathematical model has been derived to represent the process behavior of wire electrical discharge machining (WEDM) operation, which can be represented as a function of six process parameters: discharge current, pulse duration, pulse frequency, wire speed, wire tension and dielectric flow rate.
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Application of PCA-based hybrid Taguchi method for correlated multicriteria optimization of submerged arc weld: a case study
TL;DR: In this article, an attempt has been made to solve the correlated multiple criteria optimization problem of submerged arc welding, where the target was to search an optimal process environment, capable of producing desired bead geometry parameters.
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Optimization of CNC end milling process parameters using PCA-based Taguchi method
TL;DR: In this paper, a multi-objective optimization problem has been solved by principal component analysis (PCA) based Taguchi method for CNC end milling process parameters to provide good surface finish as well as high material removal rate.
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Risk assessment in IT outsourcing using fuzzy decision-making approach: An Indian perspective
TL;DR: A hierarchical ITO risk structure representation has been explored to develop a formal model for qualitative risk assessment and an action requirement plan has been suggested for providing guidelines for the managers to successfully manage the risk in the context of ITO exercise.