Application of Simulation Software to Coordinate Measurement Uncertainty Evaluations

Mathematical Problems in Engineering

Umer

Abdulhameed

et al. 2020

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.

Section: Overview Of Practiced Methodsmentioning

confidence: 99%

Section: Depending On Specifications the Weighted Normalized Decision Matrix Assigns Significance To Individual Responses (Or Aspects) Ismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Prognosis and Multiobjective Optimization of the Sampling Plan for Cylindricity Evaluation

Mathematical Problems in Engineering

Umer

Abdulhameed

et al. 2020

“…5 Meanwhile, the rise in complex part designs and the growing demands of tighter tolerances have led to the requirements of an established and an effective plan for inspection process on CMMs. According to previous studies, 6–8 there can be many factors as shown in Figure 1, which contribute to the measurement uncertainty of CMM results. These factors include sampling strategy, workpiece position and orientation, surface conditions, sensor type and configuration, and environment conditions.…”

Section: Sampling Strategy and Its Purposementioning

confidence: 98%

Application of the sampling strategies in the inspection process

Proceedings of the Institution of Mechanical Engineers, Part B:

Al-Ahmari

2017

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.

“…However, CMM measurements are accompanied with unlimited sources of variability such as workpiece position and orientation, sensor type and configuration, environment conditions, sampling strategy, computational strategy, etc. [2]. Actually, measurement with CMM is a multi-step process where each stage as shown in Figure 1 contributes to overall measurement uncertainty.…”

Section: Measurement Uncertainties Associated With Cmmmentioning

confidence: 99%

New developments in coordinate measuring machines for manufacturing industries

Int. J. Metrol. Qual. Eng.

Al-Ahmari

2014

Abstract. There have been substantial improvements in measurement systems in order to meet fluctuating market demands. This rapid change and development in measurement technology has primarily been governed by demands of accuracy and precision from aerospace, automotive and other manufacturing industries. Coordinate measuring machines (CMMs) available with different technologies and configurations has efficiently been fulfilling customer demands for more than a decade. Though, current CMMs can meet needs of rapid and increased demands of customers to a greater extent but still there is lot of scope for improvement and development in CMMs. The globalization of manufacturing has resulted in development of variety of complex products and miniaturization of mechanical components. The technology of micro/nanoscale 3D measurement is still a bottleneck for industries. Therefore, precise and accurate system which is flexible enough to deal with complexities of parts and micro & nano range products has to be investigated. In this paper, comprehensive review concerning CMMs with capabilities to measure micro/nano features has been presented. This work has also discussed different methods to estimate measurement uncertainty, as well as performance evaluation of CMMs. Moreover, novel concepts such as intelligent CMM, multi-sensor CMM, virtual CMM have been presented.