A Reliable and Intelligent Ink Selection System for Printed Electronics Using Artificial Neural Network
A Reliable and Intelligent Ink Selection System for Printed Electronics Using Artificial Neural Network |
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| © 2024 by IJETT Journal | ||
| Volume-72 Issue-1 |
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| Year of Publication : 2024 | ||
| Author : Alagusundari Narayanan, Sivakumari Subramania Pillai |
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| DOI : 10.14445/22315381/IJETT-V72I1P119 | ||
How to Cite?
Alagusundari Narayanan, Sivakumari Subramania Pillai, "A Reliable and Intelligent Ink Selection System for Printed Electronics Using Artificial Neural Network," International Journal of Engineering Trends and Technology, vol. 72, no. 1, pp. 193-201 2024. Crossref, https://doi.org/10.14445/22315381/IJETT-V72I1P119
Abstract
Printed electronics is rapidly expanding in the industrial sector and attracting a lot of interest from a wide range of sectors due to its potential to fabricate components with intricate features. For the functionality of the products in printed electronics, the printing of conductive ink is crucial. Conductive inks are used to print flexible electronic circuits and make objects more communicative. Particularly based on consumer requirements, it is crucial to select ink for printing purposes. Ink selection has always relied on the experience of designers. Manual ink selection is a laborious and time-consuming process. Therefore, this paper intends to design an automatic ink selection system for printing applications using a novel Artificial Neural Network (ANN) framework. The literature and experimental data are used to construct the material feature dataset. The min-max approach is used for preprocessing data to align all characteristics within a common range of 0 to 1. Lastly, to choose the ink according to the input characteristics, a Multilayer Perceptron Neural Network (MLPNN) is created. The performance of the proposed system is analyzed by varying the number of hidden layers, hidden neurons, and training samples. The experimental results showed that the MLPNN appropriately selects ink for printing applications when it has optimal topology.
Keywords
Artificial Neural Network, Ink selection, Multilayer perceptron, Printed electronics, Screen printing.
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