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Rajendran, C.
- Developing Empirical Relationship to Predict the Strength of Friction STIR Lap Welded Joints of AA2014-T6 Aluminum Alloy
Abstract Views :163 |
PDF Views:1
Authors
Affiliations
1 Centre for Materials Joining and Research (CEMAJOR), Dept of Manufacturing Engineering, Annamalai University, Annamalainagar, IN
2 Aeronautical Development Agency (ADA), Bangalore, IN
1 Centre for Materials Joining and Research (CEMAJOR), Dept of Manufacturing Engineering, Annamalai University, Annamalainagar, IN
2 Aeronautical Development Agency (ADA), Bangalore, IN
Source
Manufacturing Technology Today, Vol 15, No 3 (2016), Pagination: 12-23Abstract
AA2014 aluminum alloy (Al-Cu alloy) has been widely utilized in fabrication of lightweight structures like aircraft structures, demanding high strength to weight ratio and good corrosion resistance. The fusion welding of these alloys will lead to solidification problems such as hot cracking, alloy segregation, partially melted zone, and porosity. Friction stir welding is a new solid state welding process, in which the material being welded does not melt and recast. Lot of research works have been carried out by many researchers to optimize process parameters and establish empirical relationships to predict tensile strength of friction stir welded butt joints of aluminum alloys. However, very few investigations have been carried out on friction stir welded lap joints of aluminum alloys. Hence, in this investigation, an attempt has been made to develop empirical relationship to predict strength of friction stir lap welded (FSLW) joints of AA2014 aluminum alloy using statistical tools such as design of experiments (DoE), analysis of variance (ANOVA). The developed empirical relationship can be effectively used to predict the strength of friction stir welded lap joints of AA2014 -T6 aluminum alloy at the 95% confidence level.Keywords
Friction STIR Welding, Aluminum Alloy, Design of Experiment, Lap Joint, Tensile Strength.- Comparison between Riveted Joints and Friction STIR Welded Joints of AA2014 Aluminum Alloy
Abstract Views :172 |
PDF Views:1
Authors
Affiliations
1 Center for Materials Joining and Research, Dept of Manufacturing Engg, Annamalai University, Annamalainagar, Tamil Nadu, IN
2 Aeronautical Development Agency, Bangalore, IN
1 Center for Materials Joining and Research, Dept of Manufacturing Engg, Annamalai University, Annamalainagar, Tamil Nadu, IN
2 Aeronautical Development Agency, Bangalore, IN
Source
Manufacturing Technology Today, Vol 14, No 12 (2015), Pagination: 3-8Abstract
AA2014 aluminum alloy has been widely used in aircraft and automotive industries as structural members. Conventionally, these structures were fabricated using rivets, as it is difficult to join this alloy by fusion welding processes. Friction Stir Welding (FSW) can be successfully applied to replace the riveted construction of aluminum alloy (AA2014) in aircraft structures. Hence, an attempt has been made to evaluate and compare the load carrying capabilities of FSW joints and riveted joints of AA2014 aluminum alloy. FSW joints were fabricated using optimized process parameters, and riveted joints were fabricated using standard shop floor practice in butt and lap configurations. FSW joints exhibited 75% higher tensile and shear fracture load compared to the riveted joints.Keywords
Aluminum Alloys, Friction Stir Welding, Riveting, Butt and Lap Joint.- Developing Empirical Relationship to Predict the Strength of Friction Stir Spot Welded Dissimilar Joints of Aluminum and Magnesium Alloys
Abstract Views :137 |
PDF Views:0
Authors
Affiliations
1 Department of Manufacturing Engineering, Annamalai University, Annamalainagar, Tamilnadu, IN
1 Department of Manufacturing Engineering, Annamalai University, Annamalainagar, Tamilnadu, IN
Source
Manufacturing Technology Today, Vol 14, No 11 (2015), Pagination: 12-20Abstract
Friction Stir Spot Welding (FSSW) is a variant of Friction Stir Welding (FSW) process, in which a non-consumable rotating tool is plunged into a material under high forging force to create a bond. It is employed to join dissimilar materials like aluminum and magnesium as it is a solid state welding processes, and helps to avoid defects found in fusion welding processes. In this investigation, an attempt is made to join Aluminum Alloy (AA6061) with Magnesium Alloy (AZ31B) by FSSW process. An empirical relationship was developed to predict the Tensile Shear Fracture Load (TSFL) incorporating the four most important FSSW parameters, i.e., tool rotational speed, plunge rate, dwell time and tool diameter ratio, using Response Surface Methodology (RSM). The maximum TSFL obtained was 3.61 kN, with the tool rotation speed of 1000 rpm, plunge rate of 16 mm/ min, dwell time of 5 sec and tool diameter ratio of 2.5.Keywords
Frictions Stir Spot Welding, Magnesium Alloy, Aluminum Alloy, Dissimilar Joint, Response Surface Methodology, Tensile Shear Fracture Load.- Indian Railways on Fast Track with Welding Industry 4.0 : Application of Internet of Things and Artificial Intelligence
Abstract Views :102 |
PDF Views:1
Authors
Tushar Sonar
1,
V. Balasubramanian
2,
S. Malarvizhi
2,
Namita Dusane
3,
V. Sivamaran
4,
C. Rajendran
5
Affiliations
1 G. S. Mandal's Maharashtra Institute of Technology, Aurangabad, Maharashtra, IN
2 Annamalai University, Annamalai Nagar, Tamil Nadu, IN
3 Hinduja College of Commerce, Mumbai, Maharashtra, IN
4 Audisankara College of Engineering & Technology (Autonomous), Gudur, Andhra Pradesh, IN
5 Sri Krishna College of Engineering and Technology, Coimbatore, Tamil Nadu, IN
1 G. S. Mandal's Maharashtra Institute of Technology, Aurangabad, Maharashtra, IN
2 Annamalai University, Annamalai Nagar, Tamil Nadu, IN
3 Hinduja College of Commerce, Mumbai, Maharashtra, IN
4 Audisankara College of Engineering & Technology (Autonomous), Gudur, Andhra Pradesh, IN
5 Sri Krishna College of Engineering and Technology, Coimbatore, Tamil Nadu, IN
Source
Manufacturing Technology Today, Vol 20, No 11-12 (2021), Pagination: 10-20Abstract
The objective of this paper is to explain about application of Internet of Things (IoT) and Artificial Intelligence (AI) in welding of Indian Railways. The introduction of welding technology has also been followed by the country’s economic growth. Indian Railways has long been the single most significant infrastructure entity in India, with the railway track network expanding for many years. The new manufacturing sector is speeding the transition to digital and intelligent manufacturing, with the ongoing growth and maturity of cloud computing, big data, IoT and other innovations. Welding methods are also one of the fields where AI is tested and used early, with the help of information technology. Train maintenance and repair is usually carried out in demanding working conditions and frequently under demand from time. In such high demand and dynamic activities, it helps to decrease human error. In the welding of rail tracks and machine parts, IoT and AI will certainly offer many advantages in less time and with greater accuracy and precision. It will allow the Indian Railways to become more profitable and effective.Keywords
Indian Railways, Internet of Things, Artificial Intelligence, Welding 4.0.References
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