S
S. Senthil
Researcher at Kamaraj College of Engineering and Technology
Publications - 25
Citations - 1499
S. Senthil is an academic researcher from Kamaraj College of Engineering and Technology. The author has contributed to research in topics: Reverse logistics & Fiber. The author has an hindex of 8, co-authored 19 publications receiving 932 citations. Previous affiliations of S. Senthil include Reva Institute of Technology and Management & Anna University.
Papers
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Characterization and Properties of Natural Fiber Polymer Composites: A Comprehensive Review
TL;DR: Various fabrication techniques employed for the production of natural fiber reinforced polymer composites are discussed and a detailed review of the research devoted to the analysis of their structure and properties by a variety of characterization techniques are presented.
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A robust hybrid multi-criteria decision making methodology for contractor evaluation and selection in third-party reverse logistics
TL;DR: A hybrid method using Analytical Hierarchy Process (AHP) and the Fuzzy Technique for Order Preference by Similarity to Ideal Solutions (TOPSIS) is proposed and a case study demonstrates the application of the proposed method.
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Characterization of a novel natural cellulosic fiber from Calotropis gigantea fruit bunch for ecofriendly polymer composites.
P. Narayanasamy,P. Balasundar,S. Senthil,M. R. Sanjay,Suchart Siengchin,Anish Khan,Abdullah M. Asiri +6 more
TL;DR: Investigation of the change in properties of alkali treatment on the physicochemical, structural, thermal and surface morphological properties of Calotropis gigantea fruit bunch (CGFB) fibers showed that the crystallinity index of the alkali-treated CGFB fibers was fairly higher than raw fibers.
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Extraction and Characterization of New Natural Cellulosic Chloris barbata Fiber
TL;DR: In this paper, the surface of swollen finger grass fibers (CBF) was examined using a Scanning Electron Microscope (SEM) for observing the surface morphology and the thermal behavior of CBFs was determined using TG and DTG curves from Thermo gravimetric (TG) analysis.
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Analysis and prioritisation of risks in a reverse logistics network using hybrid multi-criteria decision making methods
TL;DR: In this paper, the risks involved in reverse logistics are prioritised using hybrid multi-criteria decision-making methods and a case of plastic recycling firm is discussed for the illustration of the approach.