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2020 | OriginalPaper | Chapter

A Programmatic Approach for the Prediction of Service Life of Deep Drawing Die Using ANN

Authors : Vishal Naranje, Sachin Salunkhe

Published in: Advances in Applied Mechanical Engineering

Publisher: Springer Singapore

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Abstract

The present work is concerned with fatigue life prediction of active components of deep drawing dies. Finite element analysis is performed, and S-N approach is used to evaluate the number of cycles of deep drawing die. Based on the available evaluated data (from FE analysis) and mathematical formulae, the ANN program is developed in the MATLAB, which is used to predict the fatigue life of active components of deep drawing dies. The developed ANN program achieved satisfactory results and verified based on a demonstration of an industrial component.

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previous chapter On the Response of a Beam Structure to a Moving Mass Using Green’s Function
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Literature
1.
Lange K, Hettig A, Knoerr M (1992) Increasing tool life in cold forging through advanced design and tool manufacturing techniques. J Mater Process Technol 35:495–513CrossRef
2.
Ahn SH, Kim TH, Kim BM, Choi JC (1997) A study on the prediction of fatigue life in an axi-symmetric extrusion die. J Mater Process Technol 71:343–349CrossRef
3.
Hambli R, Soulat D, Chamekh A (2009) Finite element prediction of blanking tool cost caused by wear. Int J Adv Manuf Technol 44:648–656CrossRef
4.
Kashid S, Kumar S (2014) Prediction of life of punches of compound die using artificial neural network. In: 5th international and 26th all India manufacturing technology, design and research conference. IIT Guwahati
5.
Kashid S, Kumar S (2014) Prediction life of compound die using artificial neural network. Key Eng Mater 622–623, 664–671
6.
Sachin Kashid, Kumar S, Hussein HMA (2015) Selection, modeling and prediction of life of stripper of compound die. Key Eng Mater 639:501–508CrossRef
7.
Salunkhe Sachin, Rajamani D, Balasubramanian E, Chandrasekhar U (2019) Prediction of life of piercing punches using artificial neural network (ANN) and adaptive neuro fuzzy inference systems (ANFIS). Int J Mater Eng Innov 10(1):20–33CrossRef
8.
Salunkhe Sachin, Rajamani D, Balasubramanian E (2018) Application of artificial neural network ANN and adaptive neuro fuzzy inference systems ANFIS for prediction of life of stripper. Int J Mod Manuf Technol 10(1):76–83
9.
10.
Pan J, Sripichai K, Lin PC, Wang DA, Lin SH (2010) Mechanics modeling of spot welds under general loading conditions and applications to fatigue life predictions. In: Sun X (ed) Failure mechanisms of advanced welding processes. Woodhead Publishing, USA
11.
Keller T (2010) Failure mechanisms of advanced welding processes fatigue life prediction of bonded joints in composite structure. In: Sun X (ed) Failure mechanisms of advanced welding processes. Woodhead Publishing, USA
12.
Patel VK, Bhole SD, Chen DL (2014) Fatigue life estimation of ultrasonic spot welded Mg alloy joints. Mater Des 62:124–132CrossRef
13.
Naranje V, Salunke S, Kumar S, Ghodke A (2014) Prediction of life of deep drawing die using artificial neural network. Advances in Material and Processing Technology, Dubai
Metadata
Title
A Programmatic Approach for the Prediction of Service Life of Deep Drawing Die Using ANN
Authors
Vishal Naranje
Sachin Salunkhe
Copyright Year
2020
Publisher
Springer Singapore
Book
Advances in Applied Mechanical Engineering

Print ISBN: 978-981-15-1200-1

Electronic ISBN: 978-981-15-1201-8

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-981-15-1201-8_52

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