Algorithmic iterative sampling in coordinate metrology plan for coordinate metrology using dynamic uncertainty analysis

Martins, Thiago de Castro; Tsuzuki, Marcos de Sales Guerra; Takimoto, Rogério Y.; Barari, Ahmad; Gallo, Giulliano Batelochi; Garcia, Marcos A. A.; Tiba, Hamilton

doi:10.1109/indin.2014.6945531

Cited by 11 publications

(6 citation statements)

References 7 publications

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“…These three cyber components are described as Point Measurement Planning (PMP), Substitute Geometry Estimation (SGE), and Deviation Zone Evaluation (DZE) [11,12]. In several previous research works the effects of sampling strategy including the number and procedure of data collection on the inspection uncertainty are investigated [4,13,14] and several methodologies for selection of the best set of data points in the inspection process are developed. The main approach in these contributions has been a closed-loop of DZE and PMP.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In these contributions, the distribution of geometric deviations gradually evaluated by DZE are used for dynamic refinement of the sampling data points and estimation of fitted substitute geometry [18][19][20][21]. Intelligence is needed to address the requirement of the three main cyber components of an integrated inspection system, developing the point measurement strategy based on an estimation of the manufacturing errors [13,16], or using search-guided approaches to find the best representatives of the manufactured surface [18] are among the main approaches to assist PMP. The former approach relies on significant knowledge of the manufacturing process and demands for employment of digital twins or the detailed simulation of the manufacturing process.…”

Section: Literature Reviewmentioning

confidence: 99%

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Data Analytics for Noise Reduction in Optical Metrology of Reflective Planar Surfaces

2021

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On-line data collection from the manufactured parts is an essential element in Industry 4.0 to monitor the production’s health, which required strong data analytics. The optical metrology-based inspection of highly reflective parts in a production line, such as parts with metallic surfaces, is a difficult challenge. As many on-line inspection paradigms require the use of optical sensors, this reflectivity can lead to large amounts of noise, rendering the scan inaccurate. This paper discusses a method for noise reduction and removal in datapoints resulting from scanning the reflective planar surfaces. Utilizing a global statistic-based iterative approach, noise is gradually removed from the dataset at increasing percentages. The change in the standard deviation of point-plane distances is examined, and an optimal amount of noisy data is removed to reduce uncertainty in representing the workpiece. The developed algorithm provides a fast and efficient method for noise reduction in optical coordinate metrology and scanning.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Data Analytics for Noise Reduction in Optical Metrology of Reflective Planar Surfaces

2021

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“…The proposed method can be used in the case of measurements of both types of products characterized by regular geometric shapes and composed of free-form surfaces. The authors of the paper [30] proposed also the selection of measurement points for subsequent measurements in the case of coordinate measurements of the flatness deviation on the basis of the analysis of the function of the probability of deviations. The presented adaptive method was compared to the random distribution of measurement points and better results were obtained by using the adaptive method.…”

Section: State Of the Art In The Area Of Determining The Location mentioning

confidence: 99%

A New Method of Distribution of Measurement Points on Curvilinear Surfaces of Products

Magdziak

2019

Sensors

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The article presents the method of selecting scanning lines along which coordinate measurements, performed by using, e.g., a coordinate measuring machine working in the single point probing mode, of free-form surfaces of measured workpieces may be conducted. Additionally, the proposed method supports the user of a coordinate measuring system during defining the number of measurement points distributed along selected scanning lines, thus deciding on the final distribution of measurement points on a measured surface of a product. The proposed method enables distributing measurement points in the parts of a measured product characterized by the worst quality of manufacturing. Moreover, the new method is very automated, therefore it affects the increase in the efficiency of coordinate measurements. The effect of using the new method is the non-uniform distribution of measurement points located on free-form surfaces. The presented algorithm takes into account the lengths of selected cross-sections of a measured curvilinear surface of an object, its geometrical complexity and the accuracy of the probe radius correction process. The decision regarding the number of measurement points is made on the basis of the accuracy analysis of the calculations of the corrected measurement points obtained during the probe radius correction process and the accuracy of the substitute model representing a measured curvilinear surface. Two methods of the correction process were used. The accuracy of the applied methods of the probe radius compensation process was estimated on the basis of the deviations calculated between corrected measurement points and scanning lines. The selection of scanning lines and the number of measurement points was realized by using the expert system based on the fuzzy logic. The paper presents the results of both simulation and experimental investigations. The numerical calculations were performed for two selected free-form surfaces. The verification of the developed algorithm was carried out during experimental investigations based on a measurement of a selected free-form surface. The conducted research was aimed at verifying the correctness of the distribution of measurement points generated using the proposed method. In the case of real measurements, measurement points should be located in the places of surfaces of products characterized by the largest deviations of manufacturing. The results of the conducted investigations confirm the usefulness of the developed algorithm for defining the distribution of measurement points on curvilinear surfaces in the coordinate measuring technique. Moreover, the way of implementation of the developed method of the distribution of measurement points in selected commercial measurement software is presented, thus enabling the use of the new method in the industry.

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“…The subsequent measurement points in this methodology were selected based on predictions, where prediction uncertainty of geometric deviations was computed using kriging models. Furthermore, the technique based on probabilistic approach was proposed by Martins et al 84 for the evaluation of flatness error. This method was actually based on the determination of critical points.…”

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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Algorithmic iterative sampling in coordinate metrology plan for coordinate metrology using dynamic uncertainty analysis

Cited by 11 publications

References 7 publications

Data Analytics for Noise Reduction in Optical Metrology of Reflective Planar Surfaces

Data Analytics for Noise Reduction in Optical Metrology of Reflective Planar Surfaces

A New Method of Distribution of Measurement Points on Curvilinear Surfaces of Products

Application of the sampling strategies in the inspection process

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