Determining the Optimal Parameter of Coordinate Measuring Machine with Design of Experiment

Sangnuan, Kusalin; Laosiritaworn, Wimalin

doi:10.1051/matecconf/20166806009

Cited by 4 publications

(3 citation statements)

References 5 publications

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“…2 However, CMM inspection planning is a complicated procedure, which comprises many constituents such as appropriate part set up, proper probe selection, optimum sampling of points, measurement sequence, and measurement speed. 3,4 The complete process of inspection using CMM commences with the information accumulated through computer-aided design (CAD). The data from CAD are used to create computer-aided inspection planning (CAIP), which provides an integration link between CAD and CMM.…”

Section: Sampling Strategy and Its Purposementioning

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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Section: Sampling Strategy and Its Purposementioning

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 irregular market requirements, as well as the needs of higher productivity, have emphasized the importance of efficient and effective inspection plan in CMM [1]. The inspection planning on CMM is an arduous activity because it is made up of many functions, such as suitable probe selection, accessible part setup, the appropriate number of inspection points and their relevant distribution, optimum inspection path, and correct measurement speed [2,3]. Because of the inherent complexities in CMM inspection planning, its automation becomes imperative.…”

Section: Introductionmentioning

confidence: 99%

Analysis and Realization of Sampling Strategy in Coordinate Metrology

Mian

Al-Ahmari

Alkhalefah

2019

Mathematical Problems in Engineering

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The stringent customer demands and competitive market emphasize the importance of efficient and effective inspection in industrial metrology. Therefore, the implementation of an appropriate sampling strategy, i.e., the number of points and their distribution, has become very important in the inspection process using a coordinate measuring machine. Moreover, the quality of inspection results has frequently been influenced by sampling plan as well as workpiece size and surface characteristics. It has been an indispensable problem in the present-day measurement processes. Thus, this paper investigates various sample sizes and different point distribution algorithms that can be employed in the evaluation of form error. The effect of specimen size and surface quality on the sampling strategy has also been investigated. Furthermore, this work employs a fuzzy based Technique for Order Performance by Similarity to Ideal Solution approach to realize the best sampling strategy. The results have demonstrated the significance of robust optimization techniques as well as the importance of a suitable sampling strategy in coordinate metrology. This study has also established that Poisson point distribution achieved the best accuracy and the Grid point distribution had taken the least measurement time.

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“…Industrial experiments are commonly based on factorial designs. Design of Experiment (DOE) is popular in different fields of engineering as for instance for bio-fuel production [36], for industrial production practices [17,35], for machines' production process [19], for alternative raw materials experimentation [18], or for the use of Coordinate Measuring Machines for quality control [34]. The two-way crossed factorial design is a common design used in the exploratory phase.…”

Section: Introductionmentioning

confidence: 99%

Multivariate small sample tests for two-way designs with applications to industrial statistics

et al. 2018

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In this paper, we present a novel nonparametric approach for multivariate analysis of two-way crossed factorial design based on NonParametric Combination applied to Synchronized Permutation tests. This nonparametric hypothesis testing procedure not only allows to overcome the shortcomings of MANOVA test like violation of assumptions such as multivariate normality or covariance homogeneity, but, in an extensive simulation study, reveals to be a powerful instrument both in case of small sample size and many response variables. We contextualize its application in the field of industrial experiments and we assume a linear additive model for the data set analysis. Indeed, the linear additive model interpretation well adapts to the industrial production environment because of the way control of production machineries is implemented. The case of small sample size reflects the frequent needs of practitioners in the industrial environment where there are constraints or limited resources for the experimental design. Furthermore, an increase in rejection rate can be observed under alternative hypothesis when the number of response variables increases with fixed number of observed units. This could lead to a strategical benefit considering that in many real problems it could be easier to collect more information on a single experimental unit than adding a new unit to the experimental design. An application to industrial thermoforming processes is useful to illustrate and highlight the benefits of the adoption of the herein presented nonparametric approach.

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Determining the Optimal Parameter of Coordinate Measuring Machine with Design of Experiment

Cited by 4 publications

References 5 publications

Application of the sampling strategies in the inspection process

Application of the sampling strategies in the inspection process

Analysis and Realization of Sampling Strategy in Coordinate Metrology

Multivariate small sample tests for two-way designs with applications to industrial statistics

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