NISCAIR Online Periodicals Repository

Research Journals >
Journal of Scientific and Industrial Research (JSIR) >
JSIR Vol.68 [2009] >
JSIR Vol.68(11) [November 2009] >

Title: Prediction of etching rate of alumino-silicate glass by RSM and ANN
Authors: Ting, H T
Abou-El-Hossein, K A
Chua, H B
Keywords: Alumino-silicate glass
Etching rate
Issue Date: Nov-2009
Publisher: CSIR
Abstract: In this study, response surface methodology (RSM) andartificial neural network (ANN) were applied to predict material removal rate in chemical etching process of alumino-silicate glass (SiO2 57/Al2O3 36/CaO/MgO/BaO). 2k Factorial design was performed to evaluate linearity condition among process parameters. Analysis of variance (ANOVA) was performed and quadratic model was found most significant for data values of process parameters. New models were able to predict etching rate of alumino-silicate glass, with a great confidence. Input parameters analyzed were temperature, etching period and type of setup with and without condensation.
Page(s): 920-924
ISSN: 0975-1084 (Online); 0022-4456 (Print)
Source:JSIR Vol.68(11) [November 2009]

Files in This Item:

File Description SizeFormat
JSIR 68(11) 920-924.pdf91.36 kBAdobe PDFView/Open
 Current Page Visits: 217 
Recommend this item


Online Submission of Articles |  NISCAIR Website |  National Knowledge Resources Consortium |  Contact us |  Feedback

Disclaimer: NISCAIR assumes no responsibility for the statements and opinions advanced by contributors. The editorial staff in its work of examining papers received for publication is helped, in an honorary capacity, by many distinguished engineers and scientists.

CC License Except where otherwise noted, the Articles on this site are licensed under Creative Commons License: CC Attribution-Noncommercial-No Derivative Works 2.5 India

Copyright © 2015 The Council of Scientific and Industrial Research, New Delhi. All rights reserved.

Powered by DSpace Copyright © 2002-2007 MIT and Hewlett-Packard | Compliant to OAI-PMH V 2.0

Home Page Total Visits: 164886 since 01-Sep-2015  Last updated on 27-Jun-2016Webmaster: