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Technical Paper

Artificial Intelligence Model for Machinability Investigations on Drilling of AA6061 with Micro Textured Tool for Automobile Applications

2023-11-10
2023-28-0082
Considering the advancements in manufacturing industries, which are crucial for economic growth, there is a substantial demand for exploration and analysis of advanced materials, especially alloy materials, to enable efficient utilization of new technologies. Lightweight and high-strength materials, like aluminium alloys, are highly recommended for various applications that necessitate both strength and resistance to corrosion, such as automobile, marine and high-temperature applications. Therefore, there is a significant need to investigate and analyse these materials to facilitate their effective application in manufacturing sectors. This study investigates the machinability of drilling AA6061 using a micro-textured tool and proposes an Adaptive Neuro Fuzzy Inference System (ANFIS) model for investigating the machinability of drilling AA6061 aluminium alloy with a micro-textured uncoated tool.
Technical Paper

Development of Hybrid Grey Based ANFIS Model for Laser Beam Welding of Inconel 718 Alloy for Automotive Industries

2022-12-23
2022-28-0505
In this study, we aim to develop an artificial intelligence tool that can analyze the influence of various process variables on the design and performance of a metal. ...The use of artificial intelligence in the manufacturing industry has the potential to improve the efficiency of the process and reduce the cost of doing business. ...The goal of this study is to develop an artificial intelligence model that can make informed decisions regarding the welding process of Inconel 718 alloy joint.
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