Search:
Computing and Library Services - delivering an inspiring information environment

Development of a knowledge warehouse for grinding

Alabed, Asmaa and Chen, Xun (2009) Development of a knowledge warehouse for grinding. In: Proceedings of Computing and Engineering Annual Researchers' Conference 2009: CEARC’09. University of Huddersfield, Huddersfield, pp. 99-104. ISBN 9781862180857

[img] PDF
17_A_Alabed.pdf - Published Version

Download (96kB)

Abstract

Successful of grinding in practice is highly depending on the level of expertise of the machinist and engineer. Knowledge Management might offer a strategy to keep the valuable knowledge. The main objective of Knowledge Management (KM) is to manage knowledge process, the knowledge itself could not be managed, what can be managed is the knowledge gathering, storing and organizing, retrieving, and sharing. The organization should have an effective and efficient information system to facilitate knowledge management process. This paper presents the current development of a Grinding Knowledge Warehouse (GKW) which facilitates and supports knowledge management process for grinding technology and provides a guidance to select the required grinding conditions or parameters for a given grinding operation taking account of the lessons learned from previous cases.

Item Type: Book Chapter
Uncontrolled Keywords: Knowledge management, grinding, missing data,
Subjects: T Technology > T Technology (General)
T Technology > TJ Mechanical engineering and machinery
Schools: School of Computing and Engineering
School of Computing and Engineering > Centre for Precision Technologies
School of Computing and Engineering > Centre for Precision Technologies > Advanced Machining Technology Group
School of Computing and Engineering > Computing and Engineering Annual Researchers' Conference (CEARC)
School of Computing and Engineering > Diagnostic Engineering Research Centre > Measurement System and Signal Processing Research Group
School of Computing and Engineering > High-Performance Intelligent Computing > Information and Systems Engineering Group
School of Computing and Engineering > Diagnostic Engineering Research Centre
School of Computing and Engineering > High-Performance Intelligent Computing
Related URLs:
Depositing User: Sharon Beastall
Date Deposited: 27 Jan 2010 13:31
Last Modified: 10 Dec 2010 09:26
URI: http://eprints.hud.ac.uk/id/eprint/6869

Downloads

Downloads per month over past year

Repository Staff Only: item control page

View Item View Item

University of Huddersfield, Queensgate, Huddersfield, HD1 3DH Copyright and Disclaimer All rights reserved ©