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Process-guided coordinate sampling of end-milled flat plates

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Abstract

This research investigates adaptive sampling for determining form errors found in milled parts. Adaptive sampling saves time and cost because it lowers the number of inspection points. Optimizing the inspection points improves the productivity of the manufacturing process. Primarily, the workpiece errors are modeled in milling flat plates using a consideration of process variables. The model force is applied, theoretically, using finite element software on a flat plate to obtain the workpiece deflection at specific points. The cutter deflection and the workpiece deflection are added to obtain the dimensional error on the flat plate. This model error becomes the basis for a search procedure to determine the locations of maximum error. The ensuing optimum sampling heuristic supposes that if the tolerance zone for a specific area is high, there is a high likelihood of finding points of high dimensional errors in its vicinity. The tolerance zone obtained thus is compared to that obtained using a uniform grid of points. Experimental results indicate that a finite reduction in the number of sample points can be achieved using this knowledge-based search.

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Authors and Affiliations

  1. Hashemite University, Zarqa, 13115, P.O. Box 150459, Jordan

    Suleiman M. Obeidat

  2. University of Oklahoma, 202 W. Boyd, Suite 124, CEC, Norman, OK, 73019, USA

    Shivakumar Raman

Authors
  1. Suleiman M. Obeidat
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  2. Shivakumar Raman
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Correspondence to Shivakumar Raman.

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Obeidat, S.M., Raman, S. Process-guided coordinate sampling of end-milled flat plates. Int J Adv Manuf Technol 53, 979–991 (2011). https://doi.org/10.1007/s00170-010-2885-y

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  • DOI: https://doi.org/10.1007/s00170-010-2885-y

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