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Senthil Kumaran Selvaraj

Bio: Senthil Kumaran Selvaraj is an academic researcher from VIT University. The author has contributed to research in topics: Materials science & Composite material. The author has an hindex of 4, co-authored 38 publications receiving 60 citations.

Papers published on a yearly basis

Papers
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Journal ArticleDOI
TL;DR: A comprehensive overview of different types of biosensors can be found in this paper , including electrochemical and fluorescence tagged, nanomaterials, silica or quartz, and microbes.

54 citations

Journal ArticleDOI
TL;DR: In this paper , a review of carbon nanomaterials incorporated in the membrane filtration to treat wastewater contaminants is presented, focusing on these CNM based membranes and membrane technology, their properties and applications.
Abstract: Water is a necessity for all living and non-living organisms on this planet. It is understood that clean water sources are decreasing by the day, and the rapid rise of Industries and technology has led to an increase in the release of toxic effluents that are discharged into the environment. Wastewater released from Industries, agricultural waste, and municipalities must be treated before releasing into the environment as they contain harmful pollutants such as organic dyes, pharmaceuticals wastes, inorganic materials, and heavy metal ions. If not controlled, they can cause serious risks to human beings’ health and contaminate our environment. Membrane filtration is a proven method for the filtration of various harmful chemicals and microbes from water. Carbon nanomaterials are applied in wastewater treatment due to their high surface area, making them efficient adsorbents. Carbon nanomaterials are being developed and utilized in membrane filtration for the treated wastewater before getting discharged with the rise of nanotechnology. This review studies carbon nanomaterials like fullerenes, graphenes, and CNTs incorporated in the membrane filtration to treat wastewater contaminants. We focus on these CNM based membranes and membrane technology, their properties and applications, and how they can enhance the commonly used membrane filtration performance by considering adsorption rate, selectivity, permeability, antimicrobial disinfectant properties, and compatibility with the environment.

28 citations

Journal ArticleDOI
TL;DR: In this paper, a study on the characteristics, properties, potential applications, and manufacturing techniques for nanomaterials is presented, which leads to a reduction in vehicle weight, greenhouse gas production, and overall carbon footprint.
Abstract: The future of mobility focuses on multidimensional parameters critical to vehicle emissions, passenger safety, and intelligent systems. Conventional materials are generally able to match the demands as mentioned above identified by the industry. However, due to the requirement for automotive components to amalgamate efficiently with future intelligent systems, there is a necessity for implementing advanced materials. Nanomaterials emerge as an optimal contender for usage in automotive body panels. Owing to their particles existing on the nanoscale, these materials offer enhanced physical, chemical, and electrical properties compared to conventional materials. As a direct effect of the above, automotive components can be manufactured in a lighter, safer, and economical manner. Crucially, nanomaterials show potential for tribological, rheological, electrical, and optical applications in automobiles. It leads to optimizations within vehicle powertrain and exhaust, tires, vision systems, and surface coating, leading to reductions in vehicle weight, greenhouse gas production, and overall carbon footprint. This article implements a study on the characteristics, properties, potential applications, and manufacturing techniques for nanomaterials. Various nanomaterial composites with differing chemical compositions are explored to gauge possible variations and compromises related to desired properties. Through transitive methods of inference formation, the capability for nanomaterial usage in automotive body panels is comprehensively examined.

27 citations

Journal ArticleDOI
TL;DR: A recent review of the literature using ML in drought prediction, the drought indices, dataset, and performance metrics is presented in this article, where the authors present a recent survey of ML techniques for predicting future droughts in India.
Abstract: Drought is the least understood natural disaster due to the complex relationship of multiple contributory factors. Its beginning and end are hard to gauge, and they can last for months or even for years. India has faced many droughts in the last few decades. Predicting future droughts is vital for framing drought management plans to sustain natural resources. The data-driven modelling for forecasting the metrological time series prediction is becoming more powerful and flexible with computational intelligence techniques. Machine learning (ML) techniques have demonstrated success in the drought prediction process and are becoming popular to predict the weather, especially the minimum temperature using backpropagation algorithms. The favourite ML techniques for weather forecasting include singular vector machines (SVM), support vector regression, random forest, decision tree, logistic regression, Naive Bayes, linear regression, gradient boosting tree, k-nearest neighbours (KNN), the adaptive neuro-fuzzy inference system, the feed-forward neural networks, Markovian chain, Bayesian network, hidden Markov models, and autoregressive moving averages, evolutionary algorithms, deep learning and many more. This paper presents a recent review of the literature using ML in drought prediction, the drought indices, dataset, and performance metrics.

24 citations


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01 Dec 2002
TL;DR: In this paper, an intelligent system to determine welding parameters for each pass and welding position in pipeline welding based on one database and FEM model, two BP neural network models and a C-NN model was developed and validated.
Abstract: In this paper, an intelligent system to determine welding parameters for each pass and welding position in pipeline welding based on one database and FEM model, two BP neural network models and a C-NN model was developed and validated. The preliminary test of the system has indicated that the developed system could determine welding parameters for pipeline welding quickly, from which good weldments can be produced without experienced welding personnel. Experiments using the predicted welding parameters from the developed system proved the feasibility of interface standards and intelligent control technology to increase productivity, improve quality, and reduce the cost of system integration.

73 citations

Journal ArticleDOI
TL;DR: In this article , a review article presents important 4D technologies in conjunction with the underlying functionalities of stimuli-responsive polymer composites, and elucidates the future opportunities of 4D-printed SMPCs in terms of preprogramming knowledge, multi-way SMPC, multimaterial printing, sustainability, and potential applications.

66 citations

Journal ArticleDOI
TL;DR: A comprehensive overview of different types of biosensors can be found in this paper , including electrochemical and fluorescence tagged, nanomaterials, silica or quartz, and microbes.

54 citations

Journal ArticleDOI
TL;DR: Additive manufacturing (AM) is one of the fastest-growing industrial techniques, bringing many innovative solutions to different manufacturing problems as mentioned in this paper , which is the main reason for the exponential growth of AM is its numerous advantages over conventional methods.
Abstract: Additive manufacturing (AM) is one of the fastest-growing industrial techniques, bringing many innovative solutions to different manufacturing problems. In AM, a sliced image of the 3D model is layered together to make a 3D object. The main reason for the exponential growth of AM is its numerous advantages over conventional methods, such as high-cost efficiency, less material wastage, a very high degree of freedom, and lesser material constraints. One of the biggest contributors to this growth is the aerospace industry. It is due to the ease of making complex structures and alloys with a very high strength-to-weight ratio (S:W). The authors have comprehensively reviewed the use of AM in the aerospace industry in this review. This review mainly focuses on the metal AM of complex components used in the Aerospace industry. The other topics in this review are an in-depth study of the different AM techniques, a classification of different AM processes, a comparison between conventional and AM techniques, an advantage of AM techniques, and the future scope of AM techniques. The material characterization and microstructure of the components and the different process parameters concerning the cost and irrespective of cost are also briefly discussed.

38 citations

Journal ArticleDOI
Ke Tian, Danrong Hu, Quan Wei, Qiang Fu, Hua Deng 
TL;DR: In this article , the authors provide detailed insight into the current research status and future challenges in the advancement of polymer-based EMI shielding materials with various functions, and the corresponding critical scientific and technical issues are proposed.

34 citations