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An Interdependence Relation to Support Case-based Reasoning Solution for an Industrial Application

by Madhu Sharma, O. P. Rishi, Ram Prakash
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 61 - Number 11
Year of Publication: 2013
Authors: Madhu Sharma, O. P. Rishi, Ram Prakash
10.5120/9969-4561

Madhu Sharma, O. P. Rishi, Ram Prakash . An Interdependence Relation to Support Case-based Reasoning Solution for an Industrial Application. International Journal of Computer Applications. 61, 11 ( January 2013), 1-3. DOI=10.5120/9969-4561

@article{ 10.5120/9969-4561,
author = { Madhu Sharma, O. P. Rishi, Ram Prakash },
title = { An Interdependence Relation to Support Case-based Reasoning Solution for an Industrial Application },
journal = { International Journal of Computer Applications },
issue_date = { January 2013 },
volume = { 61 },
number = { 11 },
month = { January },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-3 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume61/number11/9969-4561/ },
doi = { 10.5120/9969-4561 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:08:48.328401+05:30
%A Madhu Sharma
%A O. P. Rishi
%A Ram Prakash
%T An Interdependence Relation to Support Case-based Reasoning Solution for an Industrial Application
%J International Journal of Computer Applications
%@ 0975-8887
%V 61
%N 11
%P 1-3
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

One of the major issues required to be dealt with the case-based reasoning (CBR) is the challenge to meet to maintain and control the correctness and accuracy of the results expected to be produced against the proposed algorithm and methodology for the candidate CBR system. This paper introduces a computational model with the assistance of the concept of Regression fitting within the mathematical and simulated model proposed through the Case Based Reasoning for predicting the case hardening process parameters of steel to be maintained within the furnace of steel hardening unit. The paper is mainly focused towards the derivation of the interrelationship between the alloying percentage of the elements within a steel of any kind and the hardness contribution corresponding to each element. Few of the Plasma Nitriding Engineering considerations are also briefed within the paper.

References
  1. Donald Peckner and I. M. Bernstein, 1977, handbook of Stainless Steels, McGraw-Hill Book Company.
  2. Rao P. N. , Manufacturing Technology – Foundry, Forming and Welding, 2006, McGraw-Hill, New Delhi, Second Edition, page no. 14-35
  3. R. Bergmann, K. Althoff et. al, "Developing Industrial Case-Based Reasoning Applications", the INRECA Methodology, Springer, Volume II. Pg 19-94.
  4. Rishi O. P. , Sharma Madhu,Prakash Ram, "Parameter Prediction through Soft PIN System in a Plasma Ion Nitriding Steel Hardening Unit", 2012,IJCA,Foundation of Computer Science, New York, USA. IJCA Digital Library, Volume 49, Number 2.
  5. Kejun Xiang, Zhanqiang Liu, Xing Ai, Intelligent high-speed cutting database system development, Frontiers of Mechanical Engineering in China, June 2008, Volume 3, Issue 2, pp 180-188
  6. R. Amen, P. Vomacka, Case-based reasoning as a tool for materials selection,Materials & Design,Volume 22, Issue 5, August 2001, Pages 353–358
  7. Patrick Mejassonb,Petridisa et. al. , Intelligent design assistant (IDA): a case base reasoning system for material and design, Materials & Design, Volume 22, Issue 3, May 2001, Pages 163–170
  8. Sharma, M. ; Rishi, O. P. ; Prakash, R. ; Mishra, D. K. ; , "An effective algorithm model for a soft PIN System," Software Engineering (CONSEG), 2012 CSI Sixth International Conference on , vol. , no. , pp. 1-3, 5-7 Sept. 2012. (IEEE Digital Xplore Library).
Index Terms

Computer Science
Information Sciences

Keywords

Case Based Reasoning Plasma Ion Nitriding (PIN) Soft PIN System (SPIN) Case Hardening

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