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Realizing High Accuracy Machining by Applying Optimal Clamping Forces
Integrated Manufacturing Technologies Institute, National Research Council Canada.ORCID iD: 0000-0001-8679-8049
2004 (English)In: International journal of computer applications in technology, ISSN 0952-8091, E-ISSN 1741-5047, Vol. 19, no 2, p. 107-118Article in journal (Refereed) Published
Abstract [en]

In this research, appropriate magnitudes of clamping forces and their applying methods are studied to improve machining accuracy. The objective of this study is to find a minimum-clamping load that must be applied to keep a workpiece in static equilibrium and to assure that the total workpiece deformation is minimized in a machining process. In particular, a machining feature-based clamping force optimization model is presented for this purpose. Through cutting experiments, it is observed that the maximum cutting forces occur in different directions for each machining feature. These maximum cutting forces are measured and integrated into a machining feature-based cutting force database. The deformation of a workpiece is then estimated using finite element analysis, when clamping force and cutting force along tool path are loaded. By combining the results of the above two steps, a mathematical optimization model is formulated. This model not only makes it possible to minimize the workpiece's deformation under several cutting operations in one machining process, but also finds optimum clamping forces exerted at the contact regions. The results of the case study demonstrate the effectiveness and validity of the methodology, which shows promise of improving the quality of machined products based on the optimized fixture design and set-up.

Place, publisher, year, edition, pages
2004. Vol. 19, no 2, p. 107-118
Keywords [en]
Clamping force; Cutting force; FEA; Machining feature; Optimization model
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-205880Scopus ID: 2-s2.0-0347534667OAI: oai:DiVA.org:kth-205880DiVA, id: diva2:1090605
Note

QC 20170426

Available from: 2017-04-24 Created: 2017-04-24 Last updated: 2017-05-03Bibliographically approved

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Wang, Lihui

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
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  • vancouver
  • Other style
More styles
Language
  • de-DE
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  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf