Ink-jet printing process modeling using neural networks

Pyung Moon, Chang Eun Kim, Dongjo Kim, Jooho Moon, Ilgu Yun

Research output: Contribution to journalConference article

2 Citations (Scopus)

Abstract

Inkjet printing process is recently interested in semiconductor display industry because of the advantages such as low-cost, ease of manufacture and diversity of applications. In this paper, the models of inkjet printing process for color filter using displays are investigated using the error back propagation neural networks. The input factors are extracted by prescreening among controlled process variables. The drop diameter and drop velocity are extracted as the output responses to characterize inkjet printing process. The modeling results for the drop diameter and the drop velocity are investigated based on the training and the testing errors. The proposed neural network models are then analyzed using the response surface plot.

Original languageEnglish
Article number5507800
JournalProceedings of the IEEE/CPMT International Electronics Manufacturing Technology (IEMT) Symposium
DOIs
Publication statusPublished - 2008 Dec 1
Event2008 33rd IEEE/CPMT International Electronics Manufacturing Technology Conference, IEMT 2008 - Penang, Malaysia
Duration: 2008 Nov 42008 Nov 6

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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