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Modelling of Single Point Incremental Forming Process for Al6061 Sheets using Artificial Neural Network

Author(s):

Rajeev R , College of Engineering Trivandrum; Dr. C. Raju, College of Engineering Trivandrum

Keywords:

SPIF, ANN, Supervised Learning, Al6061 Sheets, Modelling

Abstract

Single Point Incremental Forming (SPIF) process is a dieless forming process with promise for prototyping and manufacturing of low production runs. This paper presents a model of Al6061 sheet Single Point Incremental Forming process using Artificial Neural Network(ANN). The parameters used for modelling are tool diameter, feed rate, spindle speed, vertical step depth and sheet thickness. Forming time, Formability and Spring back are the answers to the modelling. The technique of supervised machine learning is used to create an ANN model for SPIF the model created is tested and verified with another experiment with different set of process parameter values.

Other Details

Paper ID: IJSRDV7I31201
Published in: Volume : 7, Issue : 3
Publication Date: 01/06/2019
Page(s): 1761-1764

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