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University of Ontario Institute of Technology

Integration of deviation zone evaluation and point measurement planning in coordinate metrology

Abstract

dc:description.abstract

Reliable inspection of a manufactured part with coordinate Metrology demands excessive time to provide higher accuracy. The uncertainty of inspection highly depends on the number and location of points acquired during the measurement process. Isolation of the three main computational tasks in coordinate Metrology increases the overall inspection uncertainty drastically. Developing methodologies to integrate PMP and DZE is the main objective in this research. The developed solution for DZE solves Laplace equation around each measured point; while the sampling is guided by a Gaussian probability density function to model the manufacturing error on a fabricated part. The proposed dynamic sampling is studied on actual manufactured parts with a virtual approach to test the ability of the method.

Degree

thesis:*
Name thesis:degree_name
Master of Applied Science (MASc)
Discipline thesis:degree_discipline
Mechanical Engineering
Grantor
University of Ontario Institute of Technology
Year dc:date.issued
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Jamiolahmadi, Saeed
Advisor dc:contributor.advisor
  • Barari, Ahmad

Subjects

dc:subject × 4

Rights

Language dc:language.iso
en

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/10155/534
OAI identifier oai:identifier
oai:ontariotechu.scholaris.ca:10155/534

Chain of custody

source
Harvested from
Ontario Institute of Technology
Base URL
ontariotechu.scholaris.ca/server/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Jamiolahmadi, Saeed. Integration of deviation zone evaluation and point measurement planning in coordinate metrology. University of Ontario Institute of Technology, 2015. https://hdl.handle.net/10155/534