Prediction and analysis of process failures by ANN classification during wire-EDM of Inconel 718

Author:

Abhilash P. M.ORCID,Chakradhar D.

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Polymers and Plastics,Mechanical Engineering,Mechanics of Materials

Cited by 36 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Study on the Machinability of Wire Electrical Discharge Machining of Nickel Alloy Using Taguchi Grey Approach;Key Engineering Materials;2023-12-20

2. Wire-breakage prediction during WEDM of Ni-based superalloy using machine learning-based classifier approaches;International Journal on Interactive Design and Manufacturing (IJIDeM);2023-12-18

3. Process parameters based machine learning model for bead profile prediction in activated TIG Welding using random forest machine learning;Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture;2023-11-13

4. Multi-Classification Protocol for Building Electricity Consumption Modelling Using Neural Networks;2023 8th International Scientific Conference on Applying New Technology in Green Buildings (ATiGB);2023-11-10

5. Application of Taguchi Based ANFIS Approach in Wire Electrical Discharge Machining of Inconel 625 for Automobile Applications;SAE Technical Paper Series;2023-11-10

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