A computer-aided inspection planning system for on-machine measurement — Part II: Local inspection planning —

As a part II of theis research, new local inspection planning strategy is proposed in this paper based on the proposed inspection feature extraction method. In the local inspection planning stage, each feature is decomposed into its constituent geometric elements for more effective inspection planning. The local inspection planning for the decomposed features are performed to determine: (l) the suitable number of measuring points, (2) their locations, and (3) the optimum probing paths to minimize measuring errors and times. The fuzzy set theory, the Hammersley’s algorithm and the TSP method are applied for the local inspection planning. Also, a new collision checking algorithm is proposed for the probe and/or probe holder based on the Z-map concept. Finally, the results are simulated and analyzed to verify the effectiveness of the proposed methods.     

Automated dimensional inspection planning using the combination of laser scanner and tactile probe

Combining multiple sensors on CMMs (Coordinate Measuring Machines) is useful to fulfil the increasing requirements on both complexity and accuracy in dimensional metrology. Yet, the methodology to plan measurement strategies for systems combining different types of sensors is still a major challenge. Such planning is commonly done in an interactive way. This paper presents a methodology which can create inspection plans automatically for CMM inspection combining a touch trigger probe and a laser scanner. The inspection features are specified based on the extracted geometry features and the associated PMI (Product and Manufacturing Information) items from a CAD model. A knowledge based sensor selection method is applied to choose the suited sensor for each inspection feature. For touch trigger measurements, the sampling strategy considers the measurement uncertainty calculated by simulation. A geometry-guide method is developed for collision-free probing path generation. For laser scan measurements, the required view angles and positions of the laser scanner are determined iteratively, based on which the scan path is generated automatically. The proposed methodology is tested for several cases and validated by measurement experiments. The methodology provides suited planning results and can be used for automated dimensional inspection, i.e. Computer Aided Quality Control (CAQC).     

ADAPTIVE MEASUREMENT METHOD BASED ON CHANGING-CURVATURE FOR UNKNOWN FREE-FORM SURFACE

Current measurement method for unknown free-form surface has low efficiency. To acquire given precision, a lot of null points are measured. Based on change surface curvature, a new measurement planning is put forward. Sample step is evaluated from the change curvature and the locally-bounded character of extrapolating curve. Two coefficients, maximum error coefficient and local camber coefficient, are used to optimize sampling step. The first coefficient is computed to avoid sampling-point exceeding the measurement range and the second control sampling precision. Compared with the other methods, the proposed planning method can reduce the number of the measuring-point efficiently for the given precision. Measuring point distributes adaptively by the change surface curvature. The method can be applied to improve measurement efficiency and accuracy.     

A computer-aided inspection planning system for on-machine measurement — part I: Global inspection planning —

Computer-Aided Inspection Planning (CAIP) is the integration bridge between CAD/CAM and Computer Aided Inspection (CAI). A CAIP system for On-Machine Measurement (OMM) is proposed to inspect the complicated mechanical parts efficiently during machining or after machining. The inspection planning consists of Global Inspection Planning (GIP) and Local Inspection Planning (LIP). In the GIP, the system creates the optimal inspection sequence of the features in a part by analyzing the various feature information such as the relationship of the features, Probe Approach Directions (PAD), etc. Feature groups are formed for effective planning, and special feature groups are determined for sequencing. The integrated process and inspection plan is generated based on the sequences of the feature groups and the features in a feature group. A series of heuristic rules are developed to accomplish it. In the LIP of Part II, the system generates inspection parameters. The integrated inspection planning is able to determine optimum manufacturing sequence for inspection and machining processes. Finally, the results are simulated and analyzed to verify the effectiveness of the proposed CAIP.     

Adaptive sampling method for inspection planning on CMM for free-form surfaces

Coordinate measurement machines (CMMs) have been widely used in inspecting mechanical parts with higher accuracy. Both the distribution and the number of the sampled points on measurand have an important effect on the efficiency and quality of the measurement of CMMs. In this paper, an adaptive sampling method is proposed for inspection planning on CMM for free-form surface. The points are iteratively sampled from a form error model, which is constructed by superimposing appropriate form errors on the nominal data. Moreover, a modified algorithm is introduced to determine the deviation of two point sets for the improvement of the inspecting accuracy, and the inspection uncertainty is also analyzed. A comparison is performed between the proposed method and the two well-known sampling methods, which are the equi-parametric method and the patch mean Gaussian curvature-based method, both simulated and experiment results show the effectiveness and robustness of this method.     

基于检测状态模型的飞机结构件在线检测路径规划

针对飞机结构件在线检测路径规划中零件工艺模型伴随加工过程动态变化、检测工艺复杂的难点,提出了基于检测状态模型的飞机结构件在线检测路径规划方法。检测状态模型以特征为载体,以干涉特征和虚路径表达干涉规避、路径优化等知识和经验,并随着加工过程动态扩充。基于检测状态模型,按照检测操作级、检测特征级、特征自身级三级实现了在线检测路径规划。根据以上研究,基于CATIA V5开发的在线检测数据自动生成系统已在某大型航空企业中得到成功应用。     

A feature-based inspection planning system for coordinate measuring machines

A feature-based inspection planning system is proposed in this research to develop more efficient measuring methodology for a CMM for complicated workpieces having many primitive form features. The proposed strategy is composed of two stages; global inspection planning and local inspection planning stages. In the global inspection planning stage, the system generates an optimum inspection sequence of the features in a part. The sequence is determined by analyzing the feature information such as the nested relations and the possible probe approach directions of the features, and by forming feature groups. A series of heuristic rules are developed to accomplish it. In the local inspection planning stage, each feature is decomposed into its constituent geometric elements, and then the number of sampling points, the locations of the points and the optimum probing sequence are determined. Also, an effective collision avoidance methodology is proposed. After required simulation, the effectiveness of the proposed system is verified .     

基于遗传算法的三坐标测量机测量路径规划方法

针对现有三坐标测量机检测路径规划方法的不足,提出和构建了零件检测特征群数学模型和求解流程,在此基础上,根据检测工作平面、检测测头及检测测针变动次数和检测路径构建优化目标函数,从宏观和微观两个层面分别应用矩阵交叉遗传算法和序列规划遗传算法进行零件检测特征路径的优化求解。最后以Hexagon公司检测零件为例,说明了零件初始检测信息的获取以及算法的优化求解过程。实践证明,该方法快速有效,且具有良好的工程应用价值。     

Enhance performance of inspection process on Coordinate Measuring Machine

Coordinate Measuring Machine (CMM) has been an important inspection tool in quality control for several years owing to its high accuracy and precision. Effectiveness of inspection plan generated by CMM greatly depends on measurement cycle time. Lesser the inspection time taken by CMM to measure a given part better will be the performance of inspection process. Therefore, it has been critical to reduce measurement time for efficient performance of inspection process. In this paper, methodologies to generate most suitable measurement path resulting into minimum inspection time has been introduced. These methodologies are based on different algorithms to reduce measurement cycle time for CMM. The different algorithms have successfully been explored and compared to show their effectiveness in minimizing inspection time for stationary CMM equipped with touch trigger probe. The proposed methodologies have also been implemented and tested on real-world mechanical part with certain number of features to demonstrate their applicability.     

Flatness error evaluation and verification based on new generation geometrical product specification (GPS)

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.     

基于限制自适应卡尔曼滤波器的连续旋转寻北算法研究

寻北仪作为方位测量装置,被广泛应用在军事和民用定向和控制领域。针对传统寻北仪方法存在的缺陷,提出了基于测量地球自转角速度分量的连续旋转调制动态寻北方案。通过动态误差建模、优化过程约束和动态噪声估计,设计了延时补偿和硬件修正方案及限制自适应卡尔曼滤波算法。经仿真及试验验证,该算法鲁棒性好,抗噪声能力强,寻北精确度高。     

Repeatability/Linearity Study and Measurement Loss Cost Analysis of an Automatic Gauge

Computer-aided inspection (CAI) has become one of the fundamental steps in advanced manufacturing by employing automatic gauges. However, it is necessary to provide a more practical way to evaluate CAI on-line efficiency. Since a gauge capability study should be conducted before applying any automatic gauge, the necessary off-line gauge assesment for CAI is introduced in this paper. An R&R (repeatability/reproducibility) study is commonly conducted in the gauge capability study, but in this paper, an R&L (repeatability/linearity) study of a machine vision system is investigated and introduced. The ANOVA approach and regression approach are applied and compared to study the linearity effect. The measurement loss cost includes extra costs (i.e. costs of discarding, reworking, inspection, and quality loss) that arise from measurement error. These costs are analysed by interpreting the relationships between manufacturing capability, gauge capability, and the tolerance. As most gauge capability studies were conducted for the bilateral tolerance inspection, unbalanced tolerance inspection is considered here. The way that the relative costs contribute to the measurement loss cost is also studied. Rather than using a constant measurement error determined by previous observations, the measurement error model is embedded in the relative cost models. Users can then evaluate CAI on-line efficiency by incorporating the measurement error when the tolerances are rapidly changed to satisfy customer requirements.     

基于CMM测量路径优化算法的研究

随着计算机集成制造系统(CIMS)的深入发展,计算机辅助检测工艺规划(CAIP)已成为CIMS中集成质量系统(IQS)的关键环节。本文研究了基于坐标测量机(CMM)的测量路径优化算法,对坐标测量机的测量路径优化问题进行了合理的描述,分析了已有路径优化算法存在的不足,提出并实现了将遗传算法和禁忌搜索算法结合的策略用于测量路径优化的GATS算法,取得了良好的效果。     

TDLAS技术在烯烃生产过程中的多组分检测应用

烯烃工业生产过程中的多组分在线检测是对其工业过程有效控制、提高处理装置综合效益的重要手段。本文以在线检测烯烃裂解炉的清焦过程生成的一氧化碳和二氧化碳为应用案例,采用可调谐二极管激光吸收光谱技术(TDLAS)作为分析平台进行多组分分析。针对清焦过程,设计了检测0~5%量程CO和CO_2的模拟实验。对气体含量随机分布的19组数据分别采用多变量最小二乘算法(CLS)、单组分偏最小二乘算法(PLS1)和多组分偏最小二乘算法(PLS2)进行建模和评估。在后续的多组分交叉干扰实验和CO_2的扩展量程准确性测试实验中,PLS1模型的最大误差小于±0.05%,PLS2的小于±0.10%,CLS的小于±0.20%。因此,TDLAS技术结合PLS1算法在实现化工过程中的多组分在线检测时具有先进性。     

Interference-free cutting-path generation based on scanning data

This work presents a novel cutting-path planning strategy for three-axis machining of 3D scanning data. A curve-fitting algorithm is employed to fit each array of the measured data into parallel sectional curves, ensuring that the effect of measurement and form errors can be substantially reduced. The best-fitting sectional curves are then used to construct a surface of triangular meshes. A modified chord-length method is also proposed to adequately control the accuracy of the triangular meshes generated. The triangular meshes are then offset along the surface normal to obtain an offset mesh surface on which the cutting paths are planned. An effective gouging detection and removal algorithm are also proposed to prevent the machined surface from overcutting. Several computer simulation results demonstrate the feasibility of the proposed strategy.     

红外成像系统的调制传递函数测试

研究了刃边法测试光学系统调制传递函数(MTF)的原理,提出将改进倾斜刃边法用于红外成像系统MTF的测量。考虑刃边倾斜角度的测量误差和噪声干扰会引起红外系统MTF的测量误差,采用Canny算子、直线拟合和边缘扩散函数(ESF)重构行数变动等方法来提高MTF的测试精度;同时针对ESF与线扩散函数(LSF)提出有效的降噪算法来降低噪声对MTF测试精度的影响,从而系统地降低了MTF的测量误差。搭建了实验平台,以红外成像系统的理论模型和实测参数得到的MTF曲线为依据,实验验证了本文方法的有效性,测试分析了刃边倾角的变化对MTF测试精度的影响。实验结果表明:通过本文方法测试得到的MTF曲线的测试精度为0.010,测试重复精度为0.008,刃边倾角保持在2°~10°。实验结果显示:本文方法有效地降低了刃边倾角的测量误差和噪声干扰对MTF测试产生的影响,测试结果具有良好的重复性。     

利用弹性网络算法求解大型三坐标测量机几何误差的方法

为提高大型三坐标测量机(CMM)的精度,修正空间几何误差,研究利用激光追踪仪多站位测量技术取代实物基准,提出了基于弹性网络算法求解CMM几何误差的方法。基于激光追踪仪多站位测量技术,结合L-M算法,实现CMM空间规划点体积误差的高精度测量,有效提高测量效率。利用弹性网络算法解算CMM准刚体模型,解决模型求解存在多重共线的难题,实现CMM几何误差的求解;将方程组中部分系数为0的项结合体积误差与单轴几何误差的关系模型来求解几何误差。实验搭建了激光追踪多站位测量系统,测量了CMM的空间待测点体积误差。实验结果表明,提出的方法可以有效求解大型CMM的几何误差。     

基于形状特征的自由曲面采样算法的研究

测点采样是自由曲面零件检测的关键步骤.基于零件的两个形状特征因子:曲率因子、局部曲面片大小因子,提出一种面向不同类型曲面的采样算法,推导出曲率因子、局部曲面片大小因子的计算公式,进而优选合理的采样方案.该采样算法具有适应性广、无需繁琐的迭代过程等特点.用NURBS表达曲面,根据零件的梯度信息模拟制造误差并考虑测量误差,对采样过程进行了仿真分析,仿真结果验证了该采样策略的有效性.     

An accurate probe pre-travel error compensation model for five-axis on-machine inspection system

On a five-axis CNC machine tool, the pretravel errors of touch-trigger probes are severely affected by gravity and must be compensated to ensure the required measurement accuracy. The situation is more complex than that of the three-axis on-machine inspection system. This paper proposes a simple and accurate modeling and compensation method for the probe pretravel error of a five-axis on-machine inspection system. First, the pretravel error for the 5-axis CNC tool is decoupled into three parts, which are analyzed based on the probe's mechanical structure. Then, a new calibration point selection strategy is proposed to obtain the accurate reference sphere center. Finally, we carry out calibration tests to validate the proposed method. The compensation results show that the proposed compensation method for the probe pretravel error under the influence of gravity (PPEUG) can improve the accuracy considerably.     

基于扩张状态观测器的快速步进/凝视成像机构控制

提出一种基于扩张状态观测器并引入加速度补偿策略的控制器设计方案,以实现快速步进/凝视成像机构对控制性能的高要求。首先,阐述了扩张状态观测器理论,对其特性进行了详细分析,并设计了以成像机构为被控对象的三阶线性扩张状态观测器。通过将观测器置于速度内环反馈通道,设计了基于扩张状态观测器的位置和速度双回路控制器。在此基础上,利用观测器输出的加速度估计值,提出加速度补偿策略,并设计了补偿环节。实验结果表明,与无加速度补偿环节相比,引入加速度补偿后,成像机构每次步进调节时间由76ms减小到33ms,凝视期间的角位置精度由约0.07°减小到0.01°以内,速度波动减小约2~3倍,成像机构的控制性能明显改善。控制器设计简单,需整定参数少,对于提高同类控制系统性能具有较高的实用价值。