1 Introduction
Due to their weak stiffness and complicated structures, complex curved surface parts, like turbine disks or impellers, are difficult to process [1-3]. On-machine measurement (OMM) is a critical technique in determining part machining deviation during adaptive machining [4-9]. Touch-trigger probes, owing to their affordability, ease of installation, and high precision, have become widely adopted. However, it is challenging to meet the efficiency and accuracy requirements for measurements in adaptive machining because of the poor openness of curved surface parts, which necessitates frequent tool movement during the measurement process. This increases the time required for probe movement on the one hand and introduces more errors between the probe and the machine tool on the other.
One typical method to raise the efficiency and accuracy of OMM is to optimize the stylus orientation and measurement path. The efficiency of measurement is directly correlated with the measurement path length, and measurement errors will be introduced by changing the measurement position and stylus orientation [10-13]. Based on this, some academics examined various sources of error and proposed innovative approaches to measurement planning.
Some scholars have concentrated on improving the accuracy and efficiency of measurements by optimizing the measurement path. LEE et al [14] and CHO et al [15, 16] optimized the measurement sequence of features by analyzing the information of to-be-measured features on complex mechanical parts. They also planned the appropriate number of measurement points and measurement paths for different features. YEO et al [17] proposed a measurement path that eliminated errors in the measurement path due to the conversion of features to non-uniform rational B-spline (NURBS) surfaces. The methods mentioned above concentrate on how the features that will be checked will affect the measurement’s accuracy and efficiency. However, the errors introduced by the machine tools and probes as components of OMM equipment cannot be ignored. In particular, the machine tool, serving as the carrier of OMM, exerts a significant impact on measurement errors.
Some scholars have focused on reducing the errors introduced by machine tools. YAN et al [18] analyzed the influence law of positioning errors on shaping effect and identified the critical errors that should be minimized in operation. ZHAO et al [19] established a mapping relationship between machine tool volumetric error and measurement error, and selected the measurement scheme that minimizes the measurement error. The adaptive point placement approach used by LI et al [20] is based on the curvature of the curve and chooses the direction of force measurement to determine the compensating direction for probe inaccuracy. By adjusting the stylus orientation, WAN et al [21, 22] were able to accurately compensate for pre-travel errors and decreased the introduction of rotational axis errors. The studies mentioned above can successfully reduce the errors brought on by probes or machine tools, but there aren’t many optimizations that take many sources of error into account simultaneously. The accuracy of the measurement equipment is unaffected by the aforementioned methods, and when the equipment is inaccurate, the accuracy improvement is only modest.
In addition to optimizing the measurement planning, some scholars have also adopted compensation methods to improve accuracy. By correcting machine tool errors, several researchers have increased the accuracy of measurements. Based on multi-body theory and a homogeneous transformation matrix (HTM), LI et al [23] modeled the kinematic error of OMM on ultra-precision turning lathes, compensating for the measurement error brought on by the machine tool in the measurement-sensitive direction. BREITZKE et al [24] compensated geometric errors of three-axis machine tools based on OMM results of a three-dimensional artifact. FANG et al [25] calibrated the OMM system by integrating the process of identifying the location errors of rotary axes into the probe calibration process. The impact of probe error on the accuracy of OMM has received increased focus from some academics. GUO et al [26] proposed a correction method for probe radius error and probe profile error. WOŹNIAK et al [27] calibrated the hysteresis parameters of the probe using specialized equipment. The aforementioned techniques can successfully increase measurement accuracy but not measurement efficiency.
Currently, researchers have proposed a wide range of significant methods for enhancing the efficiency and accuracy of OMM. While the measurement path modifications did increase measurement efficiency, they could only limit the introduction of machine tool errors and not completely counteract their impact in terms of accuracy. Additionally, studies on error compensation methods hardly ever consider measurement efficiency. Therefore, a novel five-axis on-machine measurement optimization method is proposed in this research. The distinctions between this article and other similar studies are shown in Table 1.
Reference | Focus |
---|---|
[19, 22, 23] | 1) Mitigating the impact of machine tool errors by altering the motion mode during measurement. 2) Compensating for measurement results by subtracting kinematic errors. |
This paper | 1) The proposed efficiency optimization method aims to reduce machine tool errors and pre-travel errors while ensuring measurement efficiency. 2) The proposed compensation package within machine tools, integrating coordinate system adjustments and measurement result corrections, effectively eliminates the influence of positioning errors and ensures the correctness of touch positions. |
The outline of this article is the following and it is summarized in Figure 1. Firstly, the efficient measurement path that considers the calibration and measurement efficiency is addressed by the optimization model. Following this, we establish an OMM compensation package within machine tools, guided by the analysis of the impact of machine positioning error on OMM. Simultaneous enhancement of the accuracy and efficiency of OMM can be achieved by employing the optimization method of OMM efficiency and incorporating compensation packages for measurement.
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2 Optimization method of OMM efficiency
2.1 Optimization objective of OMM efficiency
The efficient measurement process of complex curved surfaces is given below (see Figure 2):
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All the to-be-measured points on the complex curved surfaces in the workpiece coordinate system
Unlike the traditional measurement path, this path does not require the probe to lift out of the impeller channel during the measurement process, leading to a significantly shorter measurement path. To prevent interference between the probe and the impeller during movement between anchor points, it is necessary to add path points [28], denoted by
In the measurement process, the position and attitude of the workpiece coordinate system
The position
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Similarly, the position
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The position
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where the
The direction of stylus orientation
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The position
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According to the OMM process, the distance from the anchor point
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2.2 Constraints of optimization model
Constraint 1: The touch position must be chosen inside the common calibration position region.
First of all, it should be ensured that there is no interference between the workpiece and the probe when measuring the to-be-measured points. Many angle combinations are discretized over the entire angular ranges of the rotary axes. Collision detection based on the bounding box method is used to determine the range formed by the angle combinations that do not produce interference [29]. This range is defined as the region of interference-free angle combinations
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The touch position on the ruby sphere can be represented by
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Then the touch position can be obtained by
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where the variables
Combining Eqs. (8) to (10), the region of interference-free angle combinations
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To keep the number of calibration positions to a minimum, it is necessary to use the same touch position for as many to-be-measured points as possible. This is a typical set covering problem (SCP). First, the set
Constraint 2: The change in stylus orientation should be minimized over the entire measurement path.
The stylus orientation for each to-be-measured point can be mapped to a point on the unit sphere centered on the to-be-measured point (see Figure 5(a)). The touch positions in the overlapping areas do not have a one-to-one correspondence with the stylus orientations. Without accounting for interference, the stylus orientations correspond to a spherical circle on the unit sphere as described above. To determine the feasible stylus orientations corresponding to the given touch position, it is necessary to establish a range of stylus orientations on the unit sphere where no interference occurs at each to-be-measured point. The designated range is termed the feasible direction cone (FDC) of the to-be-measured point.
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The direction of stylus orientation
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According to Eqs. (5) and (11), the interference-free angle combinations can be converted into FDC on the unit sphere. The feasible stylus orientations corresponding to the touch positions are represented in Figure 5(b) by the intersection of the accessible cones and the spherical circles. In the figure, various to-be-measured points are differentiated by distinct colors. In the five-axis OMM, the swing of the rotary axes will alter dramatically due to the unequal variety of stylus orientations, which makes it simple to create potential interference issues and introduce additional effects of machine tool kinematics error [31, 32]. To prevent the fluctuation in stylus orientations, the minimizing of the tool’s total amount of axis rotation is proposed as a constraint. Here, the accumulated angle minimization algorithm [33] commonly used in tool axis optimization is used to determine the unique probe axis direction, which minimizes the amount of machine tool rotary axes angle variation in the entire path.
Constraint 3: The local measurement paths between neighboring anchor points are the shortest and interference-free.
To improve the measurement efficiency, the movement between the neighboring anchor points is always in the impeller channel, imposing stringent demands on the positioning of path points. Two key requirements govern the addition of path points.
First, it should be ensured that there is no interference between the probe and the workpiece during the whole movement process. Second, the path point should be as close as possible to the line connecting the neighboring anchor points to ensure the shortest measurement path. The local measurement path planning method based on dynamic searching volume (DSV) is used to add the path point [34]. The path point
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2.3 Optimal efficiency measurement solution
The optimization objective and constraints for the optimization of OMM efficiency are given in the previous sections. Therefore, a single-objective optimization problem with constraints can be constructed. Based on the above constraints, it is possible to identify the stylus orientation while determining the touch point and the combination of measurement angles synchronously. This allows for the identification of the measurement path length. The touch positions
3 Compensation package for optimal efficiency angle combinations
3.1 Compensation method through workpiece coordinate system adjustment
Due to the influence of positioning error, the position and attitude of the workpiece in space will deviate from the theoretical position under the given conditions of rotary axes’ angle combination
The homogeneous transformation matrix from
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The compensation of the workpiece coordinate system is divided into two steps.
Firstly, the origin position of the workpiece coordinate system is compensated (see Figure 6(a)). The compensation parameters of the origin position in
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Secondly, the attitude of the workpiece coordinate system is compensated, that is, the Tait-Bryan angles from
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Since the rotation of the coordinate system is completed in the CNC of machine tools, the rotation angle parameters are not constrained, so it is only necessary to give any set of Tait-Bryan angles solutions. The calculations are as follows.
According to the specified rotation order, the rotation angle about the X-axis
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After this rotation, the direction of the Y-axis and Z-axis are respectively defined as
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where
Then the rotation angle about the Y-axis
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where
After the first two rotations, the direction of the X-axis is defined as
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where
The final rotation angle about the Z-axis
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where
3.2 Compensation method of measurement result
Through the compensation method of workpiece coordinate system position and attitude, the influence of positioning error on the workpiece position and attitude can be eliminated. After the position and attitude of the workpiece are determined, the relative motion between the probe and the workpiece is only controlled by three linear axes. In this process, linear axes positioning errors will be introduced.
After the compensation method of coordinate system position and attitude, the practical position
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The practical direction of the normal vector
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When the probe touches the to-be-measured point, due to the positioning error, the position recorded by the CNC system will be shifted in the practical position in the direction of the normal vector. The offset
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Considering that the OMM results recorded by the CNC system are coordinates in
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3.3 Compensation package within machine tools
To ensure the promptness of the compensation method, the concept of compensation package within the machine tools is proposed. This refers to the inclusion of CNC subroutines within the machine tool that compensate for the attitude, position, and measurement result of the workpiece coordinate system.
According to the optimization method of OMM efficiency proposed in Section 2, the optimal set of angle combinations for planning the measurement path can be obtained. For each angle combination, according to the aforementioned compensation method in this section, we can calculate the compensation parameters of the origin position
4 Results and discussion
In this paper, the impeller blade is used as a free-form surface part. There are 3 groups of to-be-measured points distributed on 3 equally spaced spline curves on the blade basin, and each group of points is a set of 8 points on the spline curves sampled according to the equal parameters, as shown in Figure 7. These 24 points are measured by a coordinate measuring machine (CMM) from ZEISS CONTURA7102. Due to the high precision of the CMM, it is considered that the measurement results of the CMM listed in Table 2 are the real positions of the to-be-measured points.
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Number | X/mm | Y/mm | Z/mm | Number | X/mm | Y/mm | Z/mm |
---|---|---|---|---|---|---|---|
1 | -38.454 | -4.825 | -9.936 | 13 | -40.559 | -13.770 | -21.800 |
2 | -38.671 | -7.092 | -12.760 | 14 | -42.318 | -16.164 | -24.591 |
3 | -39.222 | -9.306 | -15.615 | 15 | -44.439 | -18.696 | -27.277 |
4 | -40.114 | -11.516 | -18.464 | 16 | -46.899 | -21.384 | -29.839 |
5 | -41.372 | -13.784 | -21.287 | 17 | -35.865 | -4.9440 | -10.394 |
6 | -42.994 | -16.164 | -24.039 | 18 | -36.275 | -7.1230 | -13.386 |
7 | -44.97 | -18.672 | -26.695 | 19 | -37.067 | -9.280 | -16.400 |
8 | -47.289 | -21.324 | -29.236 | 20 | -38.219 | -11.473 | -19.381 |
9 | -37.159 | -4.882 | -10.167 | 21 | -39.746 | -13.752 | -22.306 |
10 | -37.475 | -7.112 | -13.072 | 22 | -41.646 | -16.161 | -25.136 |
11 | -38.132 | -9.293 | -16.002 | 23 | -43.911 | -18.720 | -27.854 |
12 | -39.166 | -11.495 | -18.927 | 24 | -46.521 | -21.435 | -30.429 |
The five-axis machine tool used in this experiment is JDGR200-A10H, whose structure is the same as that shown in Figure 1. The Renishaw OMP 400 touch-trigger probe is used in this experiment and the diameter of the ruby ball is 6 mm. The pre-travel error of the probe is calibrated by a
The Renishaw XL-80 laser interferometer and XR20 rotary axis calibrator are used to detect the positioning errors of linear axes (X-, Y- and Z-axis) and rotary axes (B- and C-axis). The positioning error distribution is shown in Figure 8.
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The impeller is measured in three cases. To demonstrate the repeatability of the method, measurements were taken 10 times in each of the three cases. The pre-travel error calibration and OMM process are shown in Figure 9. The superiority of the proposed methodology is verified by a comparison of the cases.
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Case 1. Without considering the length of the plannable path, a measurement path is planned to provide smooth changes in stylus orientation (see Figure 10). The 24 to-be-measured points’ measurement positions in the coordinate system of the machine tool are therefore dispersed.
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The time consumption of OMM is 98 s. In addition, different amounts of pre-travel error compensation need to be used for all to-be-measured points, so the probe needs to be calibrated for pre-travel error by a standard ball. By the calibration results, an error map is established in Figure 11. The time of calibration is 161 s. When compared with the CMM results, the measurement errors present the following characteristics: the maximum measurement error is 0.0206 mm, the minimum measurement error is 0.0095 mm, and the average measurement error of all to-be-measured points is 0.0146 mm.
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Case 2. A measurement path is created by the stylus orientation planning strategy based on the touch position graph [15] (see Figure 12). The method improves the efficiency of calibration by reducing the number of touch positions. It also improves measurement efficiency and reduces the impact of rotary axes errors on measurement accuracy by reducing the number of forward and reverse rotations of the machine’s rotary axes.
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The number of touch places was decreased to 3 (see Figure 11) and the rotational axes changed direction 8 times after the stylus orientation was reprogrammed using the method mentioned above. The measurement time is 72 s, while the calibration time is 88 s. Compared with the results of CMM, the measurement errors exhibit the following values: the maximum measurement error is 0.0143 mm, the minimum measurement error is 0.0059 mm, and the average measurement error of all to-be-measured points is 0.0107 mm.
Case 3. An efficient measurement path is used to measure the impeller (see Figure 13), and the compensation package proposed in Section 3 is used to improve the measuring accuracy. Some of the to-be-measured points can use the same amount of pre-travel error compensation because they are in the same touch position, so only 3 touch positions need to be accurately calibrated for pre-travel error as well (see Figure 11). The convergence curve of the optimization method of OMM efficiency is shown in Figure 14.
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Due to the reduction of calibration position and efficient measurement path, the calibration time and measurement time are reduced to 73 s and 65 s. When compared with the CMM results, the measurement errors show that the maximum measurement error is 0.0105 mm, the minimum measurement error is 0.0004 mm, and the average measurement error of all to-be-measured points is 0.0040 mm.
The time comparison of the three cases is presented in Figure 15. The calibration and measurement time in Case 2 and Case 3 are significantly shorter. Since the number of touch positions is the same after optimization of both optimization methods, the difference in calibration time is relatively slight. The optimization method in this paper has the shortest path as the optimization objective and the measurement path is in the impeller channel, so the measurement time of Case 3 is considerably shorter than that of Case 1 and Case 2.
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As depicted in Figure 16, a detailed comparison of the measurement errors among different cases is presented. The enhancement of measurement accuracy is constrained, nonetheless, by the machine tool accuracy restrictions. In Case 3, the coordinate system position and attitude compensations positioning errors are added in the measurement process, and the measurement results are compensated once more according to the positioning errors when the measurement results are output. This greatly increased the accuracy of the OMM results. In conclusion, this OMM optimization method is a valid method to improve the accuracy and efficiency of the OMM of complex curved surfaces.
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5 Conclusions
As an important part of complex curved surface adaptive machining, on-machine measurement (OMM) has more imperative requirements for improving efficiency and accuracy. In the five-axis OMM process, a multitude of measurement paths is available for selection. As a result, the pre-travel error and positioning error will have a significant impact on the measurement accuracy, and the calibration and measurement time are uncertain. To solve these challenges, an optimization method is proposed for five-axis OMM.
By analyzing the efficient OMM process of complex curved surfaces, the shortest plannable path is taken as the optimization objective for measurement efficiency. Constraints are introduced to ensure that, under interference-free conditions, stylus orientation variation is kept to a minimum and that pre-travel errors are corrected by using the fewest possible calibration positions. This ensures a smooth measurement path and efficient execution of probe calibration and measurement. To improve the accuracy of OMM, the effects of positioning error on the posture of the coordinate system and the measurement result recorded by the CNC system are analyzed. By using the compensation package for optimal efficiency angle combination to adjust the attitude and position of the workpiece coordinate system and compensate for the measurement results, the OMM results are more reliable.
On-machine measurement method and geometrical error analysis in a multi-step processing system of an ultra-precision complex spherical surface
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