共查询到18条相似文献,搜索用时 171 毫秒
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新一代产品几何技术规范(GPS)中所提出的测量不确定度评定的黑箱模型,为实现几何量测量不确定度的规范、快速评定提供了必要的理论基础。本文通过GPS黑箱模型与自动控制领域内黑箱模型的对比,深入阐述了GPS黑箱模型的概念、原理及运行方式,分析研究了GPS黑箱模型应用过程中的关键技术问题。并进一步以三坐标测量机测量圆度误差的测量不确定度概算为例,对黑箱模型的应用进行了实例分析。 相似文献
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根据ISO14253-1,研究了基于测量不确定度的产品合格判定原理与方法。分析了产品检验中测量不确定度对合格判定的影响,由不确定度的分布函数推导出批量产品检验中误判率的计算公式;分别讨论了测量结果位于不同区间时,单个产品合格判定及误判率的计算方法;编制了基于LabVIEW的合格判定软件,只需输入相关预知参数,即可获得产品合格判定的结果及其误判率。实例分析表明,测量不确定度造成产品检验存在误判,合格判定软件有效提高了不确定度理论在产品检验应用中的可操作性,基于不确定度的误判率计算为产品供求双方协商确定产品的合格性提供了准确可靠的依据。 相似文献
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基于GPS的测量不确定度评定方法分析 总被引:1,自引:0,他引:1
本文阐述了新一代GPS不确定度理论的形成、发展,以及在实现几何产品规范设计与计量认证统一中的重要作用;基于测量不确定度贡献因素的分析,着重研究了测量不确定度的评定方法、模型及应用技术,为实现测量不确定度评定管理的规范统一奠定必要的技术基础。 相似文献
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在新一代产品几何技术规范(Next Generation Geometrical Product Specification and Verification,NGGPS)不确定理论基础上,分析各种不确定度之间的关系,重点讨论不确定度管理(Frocedure for Uncertainty Management,PUMA)测量不确定度管理程序所涉及的贡献因素、评定模型和评定关系等关键环节.设计不确定度管理程序,实现贡献因素分析、不确定度自动计算和系统评价,为实现不确定度评定管理的规范统一奠定基础. 相似文献
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基于新一代GPS的空间直线度误差评定及其不确定度估计 总被引:4,自引:0,他引:4
基于新一代产品几何技术规范(geometrical product specification, GPS)的操作及操作算子技术评定空间直线度误差,给出最小二乘评定的数学模型;根据GUM(guide to the expression of uncertainty in measurement, GUM)建议的方法,导出该模型的不确定度估计公式.实验结果表明,新一代GPS利用操作及操作算子技术可以规范、准确、高效地实现空间直线度误差的评定,且可操作性强;提出的空间直线度误差最小二乘评定的不确定度估计,不仅保证了空间直线度评定结果的完整性和有效性,而且可对我国现行的直线度误差检测标准的应用进行有益的补充. 相似文献
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现代产品几何技术规范(GPS) 的不确定度理论及应用技术研究 总被引:5,自引:1,他引:4
新一代GPS(generation geometrical product specification)在测量不确定度的基础上扩展了不确定度的概念,将不确定度应用到几何产品的“功能、规范、认证”的全过程。文中着重分析新一代GPS不确定度的构成、相互关系及GPS过程量化统一的内在规律性;明确不确定度与操作算子之间的关系,揭示GPS不确定度理论的概念基础、应用规律及技术经济性;研究新一代GPS基本原则与不确定度之间的关系规律,给出减小GPS不确定度的对策和措施;并在此基础上,以产品质量认证为例,进一步分析研究GPS测量不确定度规范及其应用技术。 相似文献
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Flatness error evaluation and verification based on new generation geometrical product specification (GPS) 总被引:1,自引:0,他引:1
Xiu-Lan Wen Xiao-Chun ZhuYi-Bing Zhao Dong-Xia WangFeng-Lin Wang 《Precision Engineering》2012,36(1):70-76
New generation geometrical product specification (GPS) links the whole course of a geometrical product from the research, development, design, manufacturing and verification to its release, utilization, and maintenance. Measurement process is one of the most important part of verification/inspection in the new generation GPS. With the knowledge-intensive and globalization trend of the economy, unifying the evaluation and verification of form errors will play a vital role in international trade and technical communication. Considering the plane feature is one of the most basic geometric primitives which contribute significantly to fundamental mechanical products such as guide way of machine tool to achieve intended functionalities, the mathematical model of flatness error minimum zone solution is formulated and an improved genetic algorithm (IGA) is proposed to implement flatness error minimum zone evaluation. Then, two evaluation methods of flatness error uncertainty are proposed, which are based on the Guide to the Expression of Uncertainty in Measurement (GUM) and a Monte Carlo Method (MCM). The calculating formula and the propagation coefficients of each element and correlation coefficients based on GUM and the procedures based on MCM are developed. Finally, two examples are listed to prove the effectiveness of the proposed method. An investigation into the source and effects of different uncertainty contributors for practical measurement on CMM is carried out and the uncertainty contributors significant are analyzed for flatness error verification. Compared with conventional methods, the proposed method not only has the advantages of simple algorithm, good flexibility, more efficiency and accuracy, but also guarantees the minimum zone solution specified in the ISO/1101 standard. Furthermore, it accords with the requirement of the new generation GPS standard which the measurement uncertainty characterizing the reliability of the results is given together. And it is also extended to other form errors evaluation and verification. 相似文献
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J.X. Wang X. Jiang L.M. Ma Z.G. Xu Z. Li X. Jiang 《The International Journal of Advanced Manufacturing Technology》2006,28(11-12):1169-1174
The decision rules based on measurement uncertainty are given in ISO 14253-1, according to which only measurement uncertainty is considered in the three-dimensional measurement process, and the workpieces are simply accepted or rejected by measurement uncertainty. It can be seen that the decision rules don’t accord with the basic requirements of the improved GPS system because correlation uncertainty and specification uncertainty are not taken into account, which are existent actually in a GPS process. In order to solve this problem, this paper presents the decision rules based on total uncertainty, according to which the workpieces should be accepted or rejected by total uncertainty. The biggest difference between the two decision rules is whether correlation uncertainty and specification uncertainty have been taken into account. For a given GPS specification, the key of the decision rules based on total uncertainty is to calculate the compliance uncertainty of the corresponding GPS standard-chain. According to ISO 17450-2, a GPS process should be either in the default state or in the special state. Aiming at the two states, the calculation method for compliance uncertainty of a GPS standard-chain is given respectively. It enables us to generate compliance uncertainty on the verification of a GPS specification, which means the acceptance or refusal of a GPS characteristic can be conducted in a quantitative way. The example of flatness least-square assessment indicates that the veracity of assessment could be improved . 相似文献
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Straightness error is an important parameter in measuring high-precision shafts. New generation geometrical product specification(GPS) requires the measurement uncertainty characterizing the reliability of the results should be given together when the measurement result is given. Nowadays most researches on straightness focus on error calculation and only several research projects evaluate the measurement uncertainty based on "The Guide to the Expression of Uncertainty in Measurement(GUM)". In order to compute spatial straightness error(SSE) accurately and rapidly and overcome the limitations of GUM, a quasi particle swarm optimization(QPSO) is proposed to solve the minimum zone SSE and Monte Carlo Method(MCM) is developed to estimate the measurement uncertainty. The mathematical model of minimum zone SSE is formulated. In QPSO quasi-random sequences are applied to the generation of the initial position and velocity of particles and their velocities are modified by the constriction factor approach. The flow of measurement uncertainty evaluation based on MCM is proposed, where the heart is repeatedly sampling from the probability density function(PDF) for every input quantity and evaluating the model in each case. The minimum zone SSE of a shaft measured on a Coordinate Measuring Machine(CMM) is calculated by QPSO and the measurement uncertainty is evaluated by MCM on the basis of analyzing the uncertainty contributors. The results show that the uncertainty directly influences the product judgment result. Therefore it is scientific and reasonable to consider the influence of the uncertainty in judging whether the parts are accepted or rejected, especially for those located in the uncertainty zone. The proposed method is especially suitable when the PDF of the measurand cannot adequately be approximated by a Gaussian distribution or a scaled and shifted t-distribution and the measurement model is non-linear. 相似文献
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