Uncertainty analysis of cylindricity measurements using bootstrap method

Farooqui, Sami A.; Doiron, Theodore D.; Sahay, Chittaranjan

doi:10.1016/j.measurement.2008.09.008

Cited by 21 publications

(8 citation statements)

References 4 publications

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“…To reduce, the computing time of MCM, the Jack-knife, Bootstrap or delete d-Jack-knife methods can be used to estimate the uncertainties of ISO standard specifications [13,14].…”

Section: Jack-knife Bootstrap or Delete D-jack-knife Methodsmentioning

confidence: 99%

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Simulation Method to Estimate the Uncertainties of Iso Specifications

Linares

Sprauel

2015

Series on Advances in Mathematics for Applied Sciences

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HAL is a multidisciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Copyright

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“…To reduce, the computing time of MCM, the Jack-knife, Bootstrap or delete d-Jack-knife methods can be used to estimate the uncertainties of ISO standard specifications [13,14].…”

Section: Jack-knife Bootstrap or Delete D-jack-knife Methodsmentioning

confidence: 99%

“…It is usually fixed to B=200 for standard error estimation and B=500 for error bar estimation. The standard error of the estimator θˆ can be derived from the Bootstrap replications using the equation [13,15]:…”

Section: Jack-knife Bootstrap or Delete D-jack-knife Methodsmentioning

confidence: 99%

Simulation Method to Estimate the Uncertainties of Iso Specifications

Linares

Sprauel

2015

Series on Advances in Mathematics for Applied Sciences

View full text Add to dashboard Cite

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“…It resembles measurements with different distributions of sampling points and works conveniently also for extreme fit association criteria, e.g. minimum zone [9], where the analytical approach application is not straightforward.…”

Section: Uncertainty Evaluationmentioning

confidence: 99%

“…Much literature has been dedicated to the identification, analysis and modelization of roundness deviation, particularly of systematic components, which are regarded as signatures of the manufacturing process [7,9]. Since the general availability of comprehensive computing facilities and progress in software development make the numerical simulation an attractive alternative option, we performed the comparison introduced in Section 3, using simulated circular profiles, affected by systematic deviations.…”

Section: Case Studymentioning

confidence: 99%

Assessing measurement uncertainty in CMM measurements: comparison of different approaches

Ruffa

Panciani

Ricci

et al. 2013

Int. J. Metrol. Qual. Eng.

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Abstract. Manufactured parts are affected by size and form errors, which need to be assessed against geometrical and dimensional tolerances in order to meet the functional requirements they have been conceived for. The compliance assessment of workpieces with specifications depends on measurements and is unavoidably affected by several uncertainty contributions. According to the geometrical product specifications and verification (GPS), measurement uncertainty consists of method and implementation uncertainty. Literature proposes different approaches for the evaluation of implementation uncertainty, however a standardized method has not been yet achieved. This paper makes an analysis of the various elements to be considered when choosing a specific approach: in the implementation uncertainty of circular features. The most common manufacturing signatures affecting circular profiles were considered, together with the number of points necessary for a reliable estimation of implementation uncertainty.

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“…Most of the precision assemblies use cylindrical features with close dimensional and form tolerances. The errors in cylindrical component are due to various uncertain factors in manufacturing processes (Farooqui et al, 2009). Roundness and cylindricity errors are to be effectively and efficiently evaluated as they are important for proper assembly of the component with its mating part and for functional requirements (Mekid & Vacharanukul, 2011).…”

Section: Introductionmentioning

confidence: 99%

Roundness error measurement using teaching learning based optimization algorithm and comparison with particle swarm optimization algorithm

Kumar¹,

Kumaar²,

Kameshwaranath³

et al. 2018

10.5267/j.ijdns

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Form deviation of machined components need to be controlled within the required tolerance values for proper assembly and to serve the intended functional requirements. Methods like minimum zone circle (MZC) method, minimum circumscribed circle (MCC) method, maximum inscribed circle (MIC) method and least square circle (LSC) method are used to evaluate roundness error. Roundness error evaluation includes collection of co-ordinate points on the surface of the component and measurement using any of the above methods. Since, manual measurement of roundness error from these co-ordinate points is time consuming and less accurate, use of algorithms is highly appreciated. A detailed study of various optimization techniques showed that all evolutionary and swarm intelligence-based optimization algorithms require common control parameters and algorithm specific parameters. Improper tuning of these parameters either increases the computational effort or results in local optimal solution. Teaching Learning Based Optimization (TLBO) algorithm is used in this work as it does not require any algorithm specific parameters for the evaluation of roundness error. The results obtained are then compared with the results of Particle Swarm Optimization (PSO) algorithm to know the merits and demerits of both the algorithms when used for form measurement.

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Uncertainty analysis of cylindricity measurements using bootstrap method

Cited by 21 publications

References 4 publications

Simulation Method to Estimate the Uncertainties of Iso Specifications

Simulation Method to Estimate the Uncertainties of Iso Specifications

Assessing measurement uncertainty in CMM measurements: comparison of different approaches

Roundness error measurement using teaching learning based optimization algorithm and comparison with particle swarm optimization algorithm

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