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Institution

Kongu Engineering College

About: Kongu Engineering College is a based out in . It is known for research contribution in the topics: Cluster analysis & Control theory. The organization has 2001 authors who have published 1978 publications receiving 16923 citations.


Papers
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Journal ArticleDOI
TL;DR: In this paper, a conceptual MPPT technique based on Firefly Algorithm (FA) was introduced to track the global peak in photovoltaic systems under changing irradiance conditions.

65 citations

Journal ArticleDOI
TL;DR: The main aim of this current work is to extract pectin from waste heads of Helianthus annus by ultrasound and optimize the process variables (ultrasound power, pH, time of sonication, and ratio of solid to liquid) on maximal recovery of pECTin using central composite statistical experimental design.

65 citations

Journal ArticleDOI
TL;DR: In this paper, the authors used Fourier transform infrared spectroscopy (FTIR) to analyze the interaction between polyurethane and murivenna oil by forming hydrogen bond and changes in the characteristics peaks.

65 citations

Journal ArticleDOI
TL;DR: The paper discusses the pretreatment methods, frying oil, frying characteristics and product quality along with the advantages and disadvantages of the process.
Abstract: Deep fat frying process involves submerging a food in extremely hot oil until a safe minimum internal temperature is attained. Deep fried foods are hot and crispy on the outside and cooked safely in the center. Deep frying is very fast and, when performed properly, destroys bacteria. When water/moisture in food encounters very hot oil water vaporizes instantaneously turning into super-heated steam. It expands quickly and creates the crispy texture. Though this process has been used traditionally, the mechanism has not been described in literature and it does have downsides. The paper discusses the pretreatment methods, frying oil, frying characteristics and product quality along with the advantages and disadvantages of the process.

64 citations

Journal ArticleDOI
TL;DR: In this article, a Box-Behnken response surface design was applied to investigate and optimize the process variables (pressure, temperature, CO2 flow rate and time) on the yield of muskmelon seed oil and a second-order polynomial equation was developed to express the oil yield as a function of independent variables.
Abstract: The objective of this present study was to develop a suitable supercritical fluid extraction (SFE) method for extraction of oil from muskmelon seed (Cucumis melo). A Box–Behnken response surface design was applied to investigate and optimize the process variables (pressure, temperature, CO2 flow rate and time) on the yield of muskmelon seed oil. A second-order polynomial equation was developed to express the oil yield as a function of independent variables. The maximum oil yield (48.11%) was procured when SFE was carried out at 44 MPa of pressure, 49 °C of temperature, 0.64 g/min of CO2 flow rate and 81 min of extraction time. The total yield and fatty acids composition of muskmelon seed oil extracted by SFE was similar to that of oil extracted by Soxhlet extraction. Physicochemical properties of the oil at optimal SFE condition showed that the extracted oil could be adopted as food oil supplement. The experimental results indicated that SFE technique reduced the solvent consumption and extraction time with no adverse effect on the extraction yield and fatty acid composition of the oil.

64 citations


Authors
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202221
2021572
2020234
2019121
2018143
2017136