Laser Beam Welding (LBW) is one of the advanced methods of joining metals by fusion. The LBW process exhibits comparatively better welding performance than conventional processes and this method of welding approach is exclusively employed in higher volume applications such as automotive industries. One of the most common nickel alloys used in various engineering fields is Inconel 718. This material has high strength and corrosion resistance properties, and is commonly used in high-temperature applications, such as gas turbines and rocket engines. 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 experiments were planned using the design approach of Taguchi. An L27 orthogonal array was used for the experiments. The three performance measures are the top width, bottom width, and penetration. The influence of the process parameters on the selected performance was studied through a single response analysis. 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. The ANFIS model is a decision-making tool that combines the capabilities of fuzzy models and neural networks. It was used to predict the performance of the various measures. A comparison was performed between the predicted and the actual values. The results of the study revealed that the ANFIS model was able to predict the desired performance measures with accuracy of about 90%.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

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


    Additional title:

    Sae Technical Papers



    Conference:

    International Conference on Advances in Design, Materials, Manufacturing and Surface Engineering for Mobility ; 2022



    Publication date :

    2022-12-23




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Development of Regression Models for Laser Beam Welding of Inconel 718 Alloy Thin Sheets

    Natarajan, Manikandan / Silambarasan, R / R, Ramesh et al. | SAE Technical Papers | 2022


    Experimental Study of Electron Beam Welding of Inconel Alloy

    Kovaříková, Ingrid / Šimeková, Beáta / Urminský, Ján et al. | TIBKAT | 2021


    Experimental Study of Electron Beam Welding of Inconel Alloy

    Kovaříková, Ingrid / Šimeková, Beáta / Urminský, Ján et al. | Springer Verlag | 2020


    Optimization of Nd:YAG-Laser Welding Process for Inconel 718 Alloy

    Xiao, M. / Poon, C. / Wanjara, P. et al. | British Library Conference Proceedings | 2007