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: Computer science & Control theory. 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.

Improved antibacterial and antioxidant activities of gallic acid grafted chitin-glucan complex

Abstract: In this study, we have developed phenolic acid grafted chitin-glucan complex via new, simple and effective free radical mediated method by using gallic acid (GA) and chitin-glucan complex. The chemical structure of Gallic acid grafted chitin-glucan complex (GA-g-chitin-glucan complex) was characterized by proton nuclear magnetic resonance (1H-NMR) and Fourier-transform infrared spectroscopy (FT-IR). X-ray diffraction (XRD) result showed that after grafting crystallinity of chitin-glucan complex decreases and rough and porous morphology was observed by Scanning electron microscopy (SEM) due to decreased hydrogen bonds. GA-g-chitin-glucan complex showed excellent biocompatible, better antibacterial activity, and tremendous antioxidant activity in comparison to unmodified chitin-glucan complex. Antibacterial result showed better inhibitory properties of GA-g-chitin-glucan complex than that of unmodified chitin-glucan complex. In antioxidant activity, GA-g-chitin-glucan complex was much higher than chitin-glucan complex examined by two different methods DPPH and ABTS radical scavenging activities. It gives 93.23% for DPPH and 94.63% for ABTS scavenging activity. Therefore, it is expected that GA-g-chitin-glucan complex would be highly applicable in biomedical areas.

Multi-objective optimization of friction stir welding process parameters for joining of dissimilar AA5083/AA6063 aluminum alloys using hybrid approach:

Abstract: Joining of dissimilar aluminum alloys are widely used in automobile, aerospace and shipbuilding industries. The defect-free joining of aluminum alloys using conventional technique is a challenging task for a welding engineer. Friction stir welding has been established as one of the most promising processes for defects-free joining of aluminum alloys. In this study, a hybrid approach of grey relational analysis with principal component analysis, is applied for multi-objective optimization of process parameters for friction stir welding of dissimilar AA5083/AA6063 aluminum alloys. Three responses namely tensile strength, average hardness at weld nugget zone and average grain size at weld nugget zone, and four process parameters with three levels have been selected for the study. Taguchi method based L27 orthogonal array design matrix is used for experiments. The optimal set of process parameters using hybrid approach was found as 900 r/min of tool rotational speed, 60 mm/min of welding speed, 18 mm of shoul...

Direct Laser Deposition-Additive Manufacturing of Ti–15Mo Alloy: Effect of Build Orientation Induced Surface Topography on Corrosion and Bioactivity

Abstract: In this study, the direct laser deposition-additive manufacturing (DLD-AM) process is employed to fabricate Ti–15Mo biomedical alloy along two build directions. The aim is to analyse the effect of induced surface topography on corrosion and in-vitro bioactivity, motivated towards ultimate reduction in post-fabrication surface modifications. The effect of surface roughness on corrosion resistance is analysed in-vitro in simulated body fluid (SBF) by electrochemical study. Owing to higher surface roughness in the vertical build samples (Ra = 52.70 ± 11.40 μm) than the horizontal build samples (Ra = 27.10 ± 4.17 μm), upto 75% higher corrosion resistance is found for horizontally built samples. The double passive barrier layer formed in horizontal build higher surface finish samples results in lower corrosion. Further, wettability test confirms that both the build orientations exhibit a hydrophilic surface nature, leading to improved cell attachment. SEM–EDS analysis establishes the in-vitro apatite formation on immersion in SBF, for both build orientation samples. This study leads to understand the role of build orientation induced surface topography for production of minimal post-surface treatment Ti–15Mo bio-implants by the DLD-AM process.

Code clones detection using machine learning technique: Support vector machine

Abstract: Code clones defined as sequence of source code that occur more than once in the same program or across different programs are undesirable as they increase the size of program and creates the problems of redundancy. Fixing of bugs detected in one clone require detection of all clones. Hence, it is imperative to identify and remove all code clones in a program. The focus of previous research work on the code clone detection was to find identical clones, or clones that are identical up to identifiers and literal values. But, detection of similar clones is often important. In the present paper it is proposed to generate the feature sets after parsing the given C program for code fragments and then match their similarity. On the basis of feature sets the classification of algorithm is being performed by using the Support Vector Machine (SVM) as a machine learning tool. The output of the machine tool would be the similarity ratio with which the two C programs are related to each other and also the class in which they would occur. It was observed that the test results of the tool implementation show detection of code clones in the program and its accuracy increases with the increase in number of instances.