D. Muruganandam ¹, C. Balasubramaniyan ², B. Gokulachander ²

Affiliations
1 Sri Sairam Engineering College, Chennai – 600044, Tamil Nadu, IN
2 AMET University, Chennai – 603112, Tamil Nadu, IN

Abstract

Objective: Friction Stir Welding (FSW) is a relatively new solid state welding technique for similar and dissimilar materials, especially on current interest with aluminum and magnesium alloys. Methods/Analysis: The Friction Stir Welding of aluminum alloys with magnesium alloys are reviewed on this paper. The basic principles of FSW are described, followed by process parameters study which affects the weld strength. Findings: The microstructure and the likelihood of defects also reviewed. Tensile strength properties attained with different process parameters are discussed. Conclusion/Application: It is demonstrated that FSW of aluminum and magnesium alloy is becoming an emerging technology with numerous commercial applications.

Keywords

Aluminum Alloys, Friction-Stir Welding, Magnesium Alloys, Microstructure, Tensile Strength

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C. Balasubramaniyan ¹, D. Manivannan ¹

Affiliations
1 School of Computing, Embedded System, SASTRA University, Tirumalaisamudram, Thanjavur - 613401, IN

Abstract

Background/Objectives: Air pollution due to vehicular and industrial emission has become menace to the living beings. Due to this menace both indoor and outdoor air quality monitoring in real time has become mandatory. Methods/ Statistical Analysis: The evolution of Internet of Things (IoT) and Single Board Computers (SBC) has made real time remote monitoring as a ubiquitous process. Remote monitoring was facilitiated using classical motes in the past, which has some pitfalls like limited memory, processsing speed and complex programming strategies. This paper portrays the usage of SBC for integration of IoT with WSN for Air Quality Monitoring System (AQMS), where SBC are capable of performing even complex task with enhanced speed and reduced complexity. The integration of cloud services with SBC makes alerting process smart and realtime. Findings: With the review and realizing of immense literature in the field of WSN for air quality management, the design of sensor web node becomes essential. The evolution of SBC adds merit towards monitoring and measuring of the critical factors in centralized Air Quality Monitoring System (AQMS) in any plant. Sensor web node is proposed with commercial gas sensors for detecting the gases like CO, CO₂, NH₃ and NOx to monitor both indoor and outdoor air quality. The observed results are properly evaluated using ThingSpeak open source IoT platform. The integration of open source cloud services for SBC in this proposed prototype model confirms low cost, comfort, convenience and rapid prototyping for flexible AQMS. Applications/Improvements: This prototype can be easily adapted to any monitoring systems with minor changes and can be made scalable for tomorrow.

Keywords

AQMS, IoT, Raspberry Pi, SBC, ThingSpeak, WSN.

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D. R. Showmia ¹, C. Balasubramaniyan ¹, D. Manivannan ¹

Affiliations
1 School of Computing, Embedded System, SASTRA University, Tirumalaisamudram, Thanjavur - 613401, Tamil Nadu, IN

Abstract

Objectives: To devise a gas leakage monitoring and alerting systems for LPG warehouse. Methods/Statistical Analysis: One of the prime areas to monitor the leakages is LPG warehouse. A Wireless Gas Monitoring and Alerting System (WGMAS) is proposed for detecting, monitoring and thereby to provide alerts about the emissions and leakage at the target area of interest inside a warehouse.MQ-2 and MQ-5 LPG gas sensors interfaced with the Arduino sensor nodes are used. The Raspberry Pi gateway uses a hypertext transport protocol to send the data to the Xively cloud. Findings: The developed WGMAS provides an efficient, periodical monitoring and alerting framework for the plants to prevent the explosion due to the leakage. A mobile relay node is designed for the fault tolerance purpose. Improvements: The designed prototype enables the admin of the warehouse to monitor and analyze the status of emission inside the warehouse remotely by utilizing the Io T services and thereby the supervisor of warehouse can have a control over it.

Keywords

Gas warehouse monitoring, IoT, WGMAS, WSN, Xively.

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