Thapar University

About: Thapar University is a education organization based out in Patiāla, Punjab, India. It is known for research contribution in the topics: Cloud computing & Fuzzy logic. The organization has 2944 authors who have published 8558 publications receiving 130392 citations.

Wear Behavior of Dual Particle Size (DPS) Zircon Sand Reinforced Aluminum Alloy

Abstract: The present investigation aims to find the combined effect of coarse and fine size particle reinforcement of zircon sand in aluminum alloy LM13 on the wear behavior. The composites are fabricated by varying the reinforcement of fine and coarse size zircon sand particles and compared with the single size reinforcement. Coarse and fine particle zircon sand of 106–125 and 20–32-μm size, respectively, are used in this study. The wear test was carried out on pin-on-disc machine. Microhardness measurement was done for developed composites. Wear track and debris are analyzed by SEM to study the wear mechanism. Line profile and EDS analysis is also done to validate the microstructural results. Study reveals that a combination of 3 % fine and 12 % coarse particle reinforced composite exhibits better wear resistance while 3 % coarse and 12 % fine particle reinforcement decreases the wear resistance. It is also observed that zircon sand particles provide effective nucleation site for the eutectic silicon. Microstructural examination shows globular and finely distributed eutectic silicon in the vicinity of the reinforced particles.

IoT vulnerability assessment for sustainable computing: Threats, current solutions, and open challenges

Abstract: Over the last few decades, sustainable computing has been widely used in areas like social computing, artificial intelligence-based agent systems, mobile computing, and Internet of Things (IoT). There are social, economic, and commercial impacts of IoT on human lives. However, IoT nodes are generally power-constrained with data transmission using an open channel, i.e., Internet which opens the gates for various types of attacks on them. In this context, several efforts are initiated to deal with the evolving security issues in IoT systems and make them self-sufficient to harvest energy for smooth functioning. Motivated by these facts, in this paper, we explore the evolving vulnerabilities in IoT devices. We provide a state-of-the-art survey that addresses multiple dimensions of the IoT realm. Moreover, we provide a general overview of IoT, Sustainable IoT, its architecture, and the Internet Engineering Task Force (IETF) protocol suite. Subsequently, we explore the open-source tools and datasets for the proliferation in research and growth of IoT. A detailed taxonomy of attacks associated with various vulnerabilities is also presented in the text. Then we have specifically focused on the IoT Vulnerability Assessment techniques followed by a case study on sustainability of Smart Agriculture. Finally, this paper outlines the emerging challenges related to IoT and its sustainability, and opening the doors for the beginners to start research in this promising area.

Degradation of toxic industrial dyes using SnO2/g-C3N4 nanocomposites: Role of mass ratio on photocatalytic activity

Abstract: Efficient and cost-effective SnO2/g-C3N4 photocatalysts have been developed via simple wet chemical method using urea as a g-C3N4 precursor. The effect of different mass ratios (SnO2: g-C3N4 = 1-5:5-1) on the synthesized photocatalysts was investigated. XRD, SEM/EDS, FE-SEM, HR-TEM and XPS analysis techniques were used for the characterization of adsorbents which also confirmed the strong bonding of SnO2 with g-C3N4. The photocatalytic degradation process has been chosen for the treatment of synthetic wastewater containing organic and textile dyes (Rhodamine-B, RhB, and Remazol Brilliant Red X-3BS, RbX).The synthesized photocatalysts exhibited excellent degradation efficiency for the pollutants due to the synergistic effect of g-C3N4 and SnO2. Kinetic studies for RhB degradation revealed the highest rate constant (0.0485 min−1) for the SnO2/g-C3N4-1:1 catalyst, which was ca. 33 times higher than that of pure g-C3N4. Furthermore, photocatalysts exhibited high durability and stability during five recycling experiments. In addition, a mechanism for the photocatalytic degradation of pollutants over SnO2/g-C3N4 via photocatalysis has also been explained.