An Exploration into Measurement Consistency on Coordinate Measuring Machines

Saunders, Per; Wilson, Alan C.; Orchard, Nick; Tatman, Neil; Maropoulos, Paul

doi:10.1016/j.procir.2014.10.005

Cited by 10 publications

(8 citation statements)

References 12 publications

(11 reference statements)

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“…Measurement uncertainty as described in Figure 6 can be defined as the interval or range around the measurement result within which the true value of the measured quantity lies with some probability [46,99]. It is hard to comprehend that perhaps the true measurement value can never be established, but the level of confidence in a measured value Mathematical Problems in Engineering can be conveyed by measurement uncertainty [100]. e parameters describing the spread of values such as standard deviation and half of the range having a certain probability can be used to estimate measurement uncertainty associated with a given measurand [101].…”

Section: Uncertainty Evaluationmentioning

confidence: 99%

“…e operator affects the measurement results owing to its involvement in part preparation as well as fixing, feature definition, and construction of the coordinate system. Certainly, the measurement accuracy differs due to varied abilities of operators and inadequate implementation of procedures [47,100]. In this work, the uncertainty due to the operator has been assumed to be included in type-A uncertainties computed for sampling strategy, evaluation method, probing system, and workpiece.…”

Section: Uncertainty Evaluationmentioning

confidence: 99%

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Prognosis and Multiobjective Optimization of the Sampling Plan for Cylindricity Evaluation

Mian

Umer

Abdulhameed

et al. 2020

Mathematical Problems in Engineering

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The actualization of the befitting sampling strategy and the application of an appropriate evaluation algorithm have been elementary issues in the coordinate metrology. The decisions regarding their choice for a given geometrical feature customarily rely upon the user’s instinct or experience. As a consequence, the measurement results have to be accommodated between the accuracy and the inspection time. Certainly, a reliable and efficient sampling plan is imperative to accomplish a dependable inspection in minimal time, effort, and cost. This paper deals with the determination of an optimal sampling plan that minimizes the inspection cost, while still promising a measurement quality. A cylindrical-shaped component has been utilized in this work to achieve the desired objective. The inspection quality of the cylinder using a coordinate measuring machine (CMM) can be enhanced by controlling the three main parameters, which are used as input variables in the data file, namely, point distribution schemes, total number of points, and form evaluation algorithms. These factors affect the inspection output, in terms of cylindricity and measurement time, which are considered as target variables. The dataset, which comprises input and intended parameters, has been acquired through experimentation on the CMM machine. This work has utilized state-of-the-art machine learning algorithms to establish predictive models, which can predict the inspection output. The different algorithms have been examined and compared to seek for the most relevant machine learning regression method. The best performance has been observed using the support vector regression for cylindricity, with a mean absolute error of 0.000508 mm and a root-mean-squared error of 0.000885 mm. Likewise, the best prediction performance for measuring time has been demonstrated by the decision trees. Finally, the optimal parameters are estimated by employing the grey relational analysis (GRA) and the fuzzy technique for order performance by similarity to ideal solution (FTOPSIS). It has been approved that the values obtained from GRA are comparable with those of the FTOPSIS. Moreover, the quality of the optimal results is bettered by incorporating the measurement uncertainty in the outcome.

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Section: Uncertainty Evaluationmentioning

confidence: 99%

Section: Uncertainty Evaluationmentioning

confidence: 99%

Prognosis and Multiobjective Optimization of the Sampling Plan for Cylindricity Evaluation

Mian

Umer

Abdulhameed

et al. 2020

Mathematical Problems in Engineering

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“…They do not take into account the deviations originated from manufacturing, rather consider the rules depending on the nominal geometry of a given feature. 64 They include sampling techniques such as uniform, random, HM, Halton–Zaremba (HZ), and stratified sampling. They are also easy to implement.…”

Section: Sampling Techniquesmentioning

confidence: 99%

“…This is because, it is a dynamic approach which adapts depending on the real geometry and its profile. 64…”

Section: Asmentioning

confidence: 99%

Application of the sampling strategies in the inspection process

Mian

Al-Ahmari

2017

Proceedings of the Institution of Mechanical Engineers, Part B:

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The selection of appropriate sample size and point distribution on the measuring surface has been a fundamental problem in the contemporary coordinate metrology. It is usually resolved by the users depending on their instinct or prior experience. As a result, inspection results have to be compromised between accuracy and measurement time. However, to deliver quality products in minimum time, effort, and cost, a reliable and an efficient sampling plan is mandatory. Although there have been a remarkable progress due to the development of various procedures for computing the sample size and selecting the appropriate point distribution, still users are inconversant with the characteristics and applications of the available sampling methods due to the absence of a proper review. Accordingly, a systematic review, giving insight into the various strategies available for the sample size and the point distribution, is presented. In this article, different algorithms and their application in the estimation of sample size and point distribution have been reviewed comprehensively. The classification of sampling methods and the importance of adaptive sampling have also been described. It has been concluded that the effectiveness of inspection process or the performance of coordinate measuring machine can be escalated through the application of a suitable sampling strategy. Therefore, the metrologists should either develop an effective method for defining sampling strategy or select the most suitable method from the available resources before carrying out the inspection process.

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“…В этой работе, как и в ряде других, контроль геометрической точности изделий базируется на принципе коор-динатного контроля [11]. Это связано с тем, что именно координатный контроль позволяет получить достаточ-но широкий набор данных для дальнейшего анализа точности и выявить характер погрешностей [12]. В значительной части ра-бот, касающихся точности коль-цевых сегментных изделий, в качестве основного (зачастую единственного) фактора форми-рования погрешностей рассма-тривается погрешность взаимного положения составных частей изделия [6,7].…”

Section: Introductionunclassified