Indian Welding Journal

Tushar Sonar ¹, V. Balasubramanian ¹, S. Malarvizhi ¹, T. Venkateswaran ², D. Sivakumar ²

Affiliations
1 Centre for Materials Joining and Research (CEMAJOR), Department of Manufacturing Engineering, Annamalai University , Annamalai Nagar 608002, Tamilnadu, IN
2 Vikram Sarabhai Space Centre (VSSC), ISRO, Thiruvananthapuram 695022, Kerala, IN

Abstract

Inconel 718 is a nickel-based superalloy mostly used in high temperature applications in aerospace sector due to its extensive mechanical properties and weldability . Gas T ungsten Arc Welding (GT AW) process is widely used for joining of Inconel 718 alloy for cleaner , precise and high-quality welds. However , due to the high heat input and wider arc associated with this process, it is having certain metallurgical problems in welding, such as coarse dendritic structure and segregation of alloying elements in weld metal region which significantly reduces the mechanical properties of the joints. T o overcome these limitations, a newly developed Gas T ungsten Constricted Arc Welding (GTCAW) process is employed to join Inconel 718 alloy . It is the advanced configuration of GTAW process, based on magnetic arc constriction induced by high frequency pulsing of the current known as Delta Current. The main objective of this investigation is to study the effect of Delta Current Frequency (DCF) on the weldability of Inconel 718 alloy for its viability in aerospace applications. The joints welded at 4 kHz showed superior tensile properties due to the refinement of grains in fusion zone. Increase in DCF results in decrease in tensile properties of the joints due to the coarsening of dendritic fusion zone microstructure. It is attributed to the stacking of heat input during welding.

Keywords

Gas Tungsten Constricted Arc Welding, GTCAW, Delta Current Frequency, Inconel 718, T Ensile Properties, Microstructure.

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Tushar Sonar ¹, V. Balasubramanian ², S. Malarvizhi ², Namita Dusane ³

Affiliations
1 G.S.Mandal's Maharashtra Institute of Technology,Aurangabad - 431010, Maharashtra State, IN
2 Centre for Materials Joining and Research (CEMAJOR), Department of Manufacturing Engineering, Annamalai University Annamalai Nagar - 608002, Tamil Nadu State, IN
3 Department of Computer Science and Applications, Hinduja College of Commerce Mumbai 400004, Maharashtra State, IN

Abstract

The IoT (Internet of Thing) basically pertains to the concept of linking anything that is powered both to the internet and each other and simulating human intelligence by machines, particularly computer systems is artificial intelligence. It includes learning (acquisition of data and rules for exploiting the data), logic (exploiting rules to arrive at probable or definitive findings) and selfrectification. Many automatic welding machines are now connected to a computer and are fully networked and can be reached anywhere in world from a computer at any time. The first apparent use would be in the evaluation and configuration of the equipment itself, as the equipment must be regularly interfaced with a network to perform these functions. Future IoT technology for the welding sector is likely to emerge largely as part of an artificial intelligence network, as it would be extremely beneficial to control and monitor functions even though the system is not in connection with internet. Simulating human intelligence by machines, specifically computers is known as Artificial intelligence (AI). It includes learning (acquisition of data and rules for exploiting the data), logic (exploiting rules to arrive at probable or definitive findings) and self-rectification. AI is incorporated into a variety of different types of technology. AI will have IoT flexibility which would play a major role in complying the requirements of Welding Industry 4.0.

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