Sample Size Analysis for the Measurement of Straightness

Yosefin Antoineta Widya Ninggar, Jyun-Ping Huang
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Abstract

Surface quality is important in manufacturing industries, especially in machine part manufacturing. Straightness precision and accuracy come into the limelight because it is also included in the surface quality category. Straightness measurement is a way to check unevenness in the surface and see how precisely straight a surface is. Evaluating straightness can depict tested product surfaces by collecting point clouds data. Collecting more point clouds data can represent the surface of the product precisely, but it consumed more time and cost. On the other hand, collecting a few point clouds data to measure cannot give enough information to represent product surface and the measurement will be not valid. The main goal of this paper is to verify how strong the sample size of measured points can affect the measured value, also search what sample size of data is enough to represent the property of the measured surface.
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直线度测量的样本量分析
表面质量在制造业中非常重要,尤其是在机械零件制造业中。直线度、精度和准确度成为人们关注的焦点,因为它也包括在表面质量范畴内。直线度测量是一种检查表面不均匀度的方法,可以看到一个表面有多直。直线度评价可以通过收集点云数据来描述被测产品的表面。收集更多的点云数据可以更精确地表示产品的表面,但耗费更多的时间和成本。另一方面,采集少量的点云数据进行测量,不能提供足够的信息来表示产品表面,测量结果不有效。本文的主要目的是验证测点的样本量对测量值的影响有多大,并寻找什么样的样本量的数据足以代表被测表面的性质。
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