Motilal Nehru National Institute of Technology Allahabad

About: Motilal Nehru National Institute of Technology Allahabad is a education organization based out in Allahabad, Uttar Pradesh, India. It is known for research contribution in the topics: Control theory & Electric power system. The organization has 2475 authors who have published 5067 publications receiving 61891 citations. The organization is also known as: NIT Allahabad & Motilal Nehru Regional Engineering College.

Friction and wear behavior of karanja oil derived biolubricant base oil

Abstract: This work deals with the tribological performance of karanja oil trimethylolpropane ester (KOTMPE) biolubricant base oil for its probable application as automotive lubricant. The biolubricant was synthesized by transesterification of karanja oil methyl ester with trimethylolpropane (TMP) under acid catalyst. The study was made with Ducom TR30L four-ball tester at 1200 rev min−1 speed and 75 °C temperature over 60 min duration under normal loads of 15 kg and 40 kg as per ASTM D 4172-94 A and B standard test method. Principal results at two loads are given here: Coefficient of friction (CoF) 0.100 and 0.042, wear scar diameter (WSD) 0.30 mm and 0.44 mm, flash temperature parameter (FTP) 80.932 and 126.249, and thermal energy (TE) 0.054 J and 0.060 J, respectively. The study found that KOTMPE has lowest CoF than any vegetable oil, TMP ester or commercial lubricant. Similarly, the WSD was lowest among all the vegetable oil based lubricants and was at par with SAE 20W-50 and SAE 40 commercial lubricants. FTP was better compared to any vegetable oil or TMP ester. Finally, the energy efficiency of KOTMPE was better than that of other vegetable oils, TMP esters and mineral lubricants. The synthesized ester demonstrated the outstanding performance in terms of friction and wear characteristics along with high thermal stability and energy efficiency worthy of comparison with multiple lubricating products reported by different research groups in available literature during last two decades.

Thermal decomposition aspects and kinetics of pyrolysis of garlic stalk

Abstract: Agricultural crop residues are at the center stage of biomass utilization in view of their huge potential in the production of bio-oil and in turn bio-based chemicals. The present investiga...

Pattern-based image retrieval using GLCM

Abstract: Gray-level co-occurrence matrix (GLCM) is one of the oldest techniques used for texture analysis. It has two important parameters, i.e., distance and direction. In this paper, various combinations of distance and directional angles used for GLCM calculation are analyzed in order to recognize certain patterned images based on their textural features. In the proposed approach, the work is divided into two modules: determining the pattern of the image and pattern retrieval from the dataset. Patterns considered in this paper are horizontal striped, vertical striped, right and left diagonally striped, checkered and other images. For recognizing the pattern, the proposed approach has achieved a percentage accuracy of 96, 98, 96, 90, 96 and 94 for horizontal striped, vertical striped, right and left diagonally striped, checkered and other irregular patterns (not fully stripped), respectively. The proposed approach has a practical implementation in the fashion industry so to filter the search according to the pattern of the cloth.