A form of deviation-based method for coordinate measuring machine sampling optimization in an assessment of roundness

Author:

Rossi A1

Affiliation:

1. University of Pisa Department of Mechanical, Nuclear and Production Engineering, Italy

Abstract

A method for minimizing coordinate measuring machine (CMM) inspection time in the accuracy measurement of roundness is described. The peculiar feature of the method is to employ a presampling with a strategic distribution of the points, in order to decrease the sample size in point-by-point acquisition. Point distribution is derived from a method for detecting two of the most frequent categories of deviation in the profile: waviness and random deviation. Depending on the actual category of deviation, a subsequent sampling, which locates points near the main features of the profile, is performed to refine the error of roundness. The main goal of the system is to detect an exact roundness error by means of a method for minimizing inspection time for wavy deviation with a fixed level of noisy band superimposed.

Publisher

SAGE Publications

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering

Cited by 15 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Analysis and Realization of Sampling Strategy in Coordinate Metrology;Mathematical Problems in Engineering;2019-07-18

2. Geometric Inspection Planning as a Key Element in Industry 4.0;Lecture Notes in Mechanical Engineering;2018

3. Application of the sampling strategies in the inspection process;Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture;2017-01-05

4. Chapter 8: Metrology as an Inspection Tool in New or Overhauled Water-Cooled Diesel Engines;Automotive Engine Metrology;2016-08-31

5. Minimal Exhaustive Search Heuristics (MESH) of point clouds for form tolerances: The minimum zone roundness;Precision Engineering;2016-01

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3