Abstract

Measuring instruments are intended to be intelligent, precise, multi-functional and developing multidirectionally, scientific, and reasonable; the reliable evaluation of measurement uncertainty of precision instruments is also becoming more and more difficult, and the evaluation of the Coordinate Measuring Machines (CMM) measurement uncertainty is among the typical problems. Based on Geometric Product Specification (GPS), this paper has systematically studied the CMM uncertainty for evaluating the size and geometrical errors oriented toward measurement tasks, and thus has realized the rapid and reliable evaluation of the CMM uncertainty for task-oriented measurement. For overestimation of the CMM uncertainty for task-oriented measurements in the initial evaluation, a systematic optimization solution has been proposed. Finally, the feasibility and validity of the evaluation model and the optimization method have been verified by three different types of measurement examples of diameter, flatness and perpendicularity. It is typical and representative to systematically solve the problem of the CMM uncertainty for evaluating the measurement tasks targeted at dimensions and geometric errors, and the research contents can be effectively applied to solve the uncertainty evaluation problems of other precision instruments, which are of great practical significance not only for promoting the combination of modern uncertainty theory and practical applications but also for improving the application values of precision measurement instruments.

Highlights

  • Geometric measurement is the foundation of modern metrology, being the earliest and largest important branch in the field of measurement and the foundation for the development of modern science and technology

  • The intelligent evaluation of the Coordinate Measuring Machines (CMM) measurement uncertainty by sizes and geometric errors, and most of such results have only involved individual aspects of the virtue of computer simulation technology is an important trend of development in the future; it is

  • If the uncertainty components caused by repeatability can be updated continuously in real time based on daily measurement data, the current and historical information can be fully integrated into the uncertainty evaluation results and the latest status of the CMM same or similar measurement tasks can be reflected in real time

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Summary

Introduction

Geometric measurement is the foundation of modern metrology, being the earliest and largest important branch in the field of measurement and the foundation for the development of modern science and technology. The intelligent evaluation of the CMM measurement uncertainty by sizes and geometric errors, and most of such results have only involved individual aspects of the virtue of computer simulation technology is an important trend of development in the future; it is ISO15530 standards [26,27]. With the increasing improvement of the research on evaluation, but the software for uncertainty evaluation has had its practical applications limited due coordinate measurement technology, more theories and methods for CMM measurement uncertainty to involvement in intellectual property rights. Within the framework of the GPS standard instrument by studying uncertainty task-oriented quickly system [26,27,28,29], it is of the great significance for evaluation improving of the application measurement value of the for measuring and reliably evaluating the uncertainty of the measurement results. Instrument by studying the CMM uncertainty evaluation of task-oriented measurement for quickly and reliably evaluating the uncertainty of the measurement results

Source Analysis of Uncertainty
Uncertainty Evaluation Model
Uncertainty Model for Dimensional Measurement Task
Uncertainty Model for Form Error Measurement Task
Uncertainty Model for Location and Orientation Errors Measurement Tasks
Secondary Optimal Evaluation of Uncertainty Components uncertainty component
Procedure
Real-Time Updating of Repeatability Uncertainty Component
Experimental Analysis
Example
Example for Evaluating Uncertainty of Flatness Measurement
Example for Evaluating Uncertainty of Perpendicularity Measurement
Result Analysis and Optimizing Uncertainty
Comparison
Conclusions
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