Dimensional measurement of conical features using coordinate metrology.

Coordinate metrology employs a discrete sampling of data points to verify the size, form, orientation, and location of features contained in parts. Usually data points are collected intuitively with simple schemes that attempt to cover the surface of the features as best as possible. Data fitting methods are used to determine the zones of deviations about the ideal feature. A multitude of linear and nonlinear optimization procedures and the least squares method have been used to estimate the tolerance zone for straightness, flatness, circularity, and cylindricity. More complex forms such as conicity have been largely ignored in the literature, in spite of the sufficient need to inspect them in parts such as nozzles and tapered rollers in bearings.

Author dc:creator

• Prakasvudhisarn, Chakguy.

Advisor dc:contributor.advisor

• Raman, Shivakumar,

• Conic sections.
• Metrology.
• Least squares.
• Engineering, Industrial.
• Mathematical optimization.

Handle dc:identifier.uri

http://hdl.handle.net/11244/404

OAI record oai:identifier

https://shareok.org/server/oai/request?verb=GetRecord&metadataPrefix=dim&identifier=oai%3Ashareok.org%3A11244%2F404