Effect of Scanning Speed on the Accuracy of Measu-Red Values using Coordinate Measuring Machine

Guniš, Zdenko; Vagovský, Juraj; Görög, Augustín

doi:10.2478/teen-2013-0011

Cited by 2 publications

(1 citation statement)

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“…Thus far, most manufacturers are always seeking a shorter time to collect and analyse a large amount of data with higher accuracy and repeatability. Hence, identifying important factors and proposing effective measurement methods will help manufacturers improve their competitiveness in the global market and economic value [1].…”

Section: Introductionmentioning

confidence: 99%

High-accuracy Cloud Point Scanning Method based on a Dual Laser 3D Scanner for Head Profile

Hong

Ma’aram

Boon

2022

Mal. J. Fund. Appl. Sci.

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The purpose of this study is to investigate the efficient method of collecting 3D cloud points of head profile Malaysian. The objective of the research is to analyse the head anthropometric data with having the accuracy of the computations in several typical settings characterized by time-consuming, resolution levels and computed cloud point file sizes with eliminating artefacts. This case study approach is a statistical analysis and comparison of existing manual anthropometric and digital landmark measurements. This research is also dedicated to determining the relative accuracy of anthropometric head profile measurement using a 3D scanner to digitally generate a cloud point 3D file. In addition, the scanned cloud point 3D file is to be measured, and the degree of closeness of the manual anthropometric method to the absolute true value can be calculated. Participants were among Universiti Teknologi Malaysia’s students. They volunteered to share their head profile to collect anthropometric data. The steps of process procedures were conducted by setup a 3D handheld scanner, creating and collecting data from manual anthropometric measurement, scanning and reconstructing head profile, editing scan data and parameters, creating mesh data and transferring data to the software Geomagic, and carrying out data analysis and comparison by using Minitab. Thus, the analysis of variance and the standard deviation is conducted by using Minitab. Three sample objects were specified and analysed, their parameters in the registration process and the relative accuracy of the measurement data. As result, data comparison between the percentage errors of high detail, medium detail and low detail for each set of different fixed time runs. The high detail setting, which gives the average absolute difference, achieves the highest accuracy size (0.02mm) within the given nine-time frames. In comparison, the highest average absolute difference for low detail given 1.04mm, the second was medium detail given 0.97mm and the third was high detail given 0.93mm. Based on the overall data observation, the three sets of detail resolution settings at different fixed times contributed to the measurement with an average absolute difference between 0.02mm and 1.04mm. The accuracy of data can be optimized between the processing time and the typical settings of the resolution. The overall data measurement was analysed and the best time-consuming 3D scanning is shown in the figure, each resolution of a typical setting is between 210 seconds and 240 seconds. The purpose of carrying out this experiment is intending to reduce the scan-time consumption of 3D scanning, to minimize the variability and closer to well-perform anthropometric measurement data that has high accuracy. In conclusion, the accuracy of the 3D scan model is affected by the time processing and the typical settings of the resolution during the head contour scan. Therefore, optimum typical settings of the 3D scanner can help users minimise the impact of time-consuming and quality issues on the final 3D head profile scanning model.

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Section: Introductionmentioning

confidence: 99%

High-accuracy Cloud Point Scanning Method based on a Dual Laser 3D Scanner for Head Profile

Hong

Ma’aram

Boon

2022

Mal. J. Fund. Appl. Sci.

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Influence of CMM scanning speed and inspected feature size on an accuracy of size and form measurement

Urban¹,

Beránek²,

Koptiš³

et al. 2020

Manufacturing Technology

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Modern production systems requires high effectivity and flexibility with always increasing demands for precision as an imperative for more efficient components. The same apply for quality inspection providing data for feedback regulation of production processes. CMMs (coordinate measuring machines) which are flexible and universal in use yet very accurate and easy to automate are a standard mean for quality inspection. With many sensors available on the market, central fixed scanning heads with tactile scanning probes are a reference equipment for inspection of precise production of engine and transmission components. Tactile probes are right choice where very high accuracies and stability of results is required. Effectivity was allways a target in production processes and today the same pressure for effectivity and productivity is required from measuring machines, yet measurement strategies are often taken from measurement plans even 10 years old. This means that in old programs low scan speeds are used based on capability of older technologies and the approach of don´t change it when it works is common. This limits productivity of the whole quality control process. Motivation for this paper and whole research is to increase productivity and thus capacity of quliaty inspection without compromising process capability. Lack of measuring capacity is usually solved by purchase of a new machine which may not be allways necessary. Primary motivation of companies supplying these technologies is not maximum efficiency of quality inspection, which in context of spare capacities ultimately means lower sales. Aim of this article is to describe influence of scanning speed and size of inspected feature on CMMs accuracy. High-precision CMM control itself is not easy because with decreasing path radius dynamic effects of machine construction itself increase on measurement results. Accuracy of CMM measurement is then function of feature size being checked. This knowledge can be used for optimization of measurement plans in terms of productivity while maintaining sufficient measurement accuracy depending on required tolerance.

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Effect of Scanning Speed on the Accuracy of Measu-Red Values using Coordinate Measuring Machine

Cited by 2 publications

References 0 publications

High-accuracy Cloud Point Scanning Method based on a Dual Laser 3D Scanner for Head Profile

High-accuracy Cloud Point Scanning Method based on a Dual Laser 3D Scanner for Head Profile

Influence of CMM scanning speed and inspected feature size on an accuracy of size and form measurement

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