4.2.1. Traditional Measurement Method
Currently, the measurement of cooling holes often relies on manual inspection by quality checkers, including plug gauges, visual comparison, and water flow tests.
- 8.
Plug gauge method
Quality checkers use plug gauges with different diameters, inserting them into a cooling hole to approximate the internal diameter and thus measure the diameter of the hole. This method is extremely slow and risks the plug gauge breaking inside the hole if mishandled, potentially resulting in scrap. Due to the manufacturing process of cooling holes, the actual internal surface has high roughness, poor roundness and taper shape. The plug gauge can only measure the maximum ideal diameter in such cases, the schematic diagram is shown in
Figure 9.
- 9.
Sample Visual Comparison Method
This method relies on the visual judgment of quality checkers. They compare the blade with the standard sample to judge the positional accuracy, orifice shape, and diameter of the cooling hole. Presently, there is no unified national calibration standard for calibrating the standard sample blades used in visual comparisons, nor are there instruments to calibrate the positional accuracy of cooling holes in standard samples. It is challenging to use standard blade samples for quantitative traceability or data transfer [
40].
- 10.
Water Flow Method
This method involves injecting water inside the blade and visually observing whether the cooling holes allow water to pass through and whether the flow value is similar. This method depends on the blade's internal cooling path design and does not apply to all blades, making it less common than the other methods.
The measurement methods commonly used in engineering scenarios rely heavily on manual operation and invasive inspection techniques. Subjective manual judgments can only provide qualitative indicators. They cannot quantitatively evaluate critical quality indicators simultaneously, such as positional accuracy, hole axis orientation, hole diameter, and blind hole verification. As for the manufacturing quality of the internal surface of cooling holes, including issues like microcracks, recast layers, and thermal barrier coating defects, no corresponding measurement methods are currently available.
The automation and intelligence levels of traditional measurement methods urgently need improvement. By utilizing automated data collection and processing, it is possible to reduce manual intervention, thereby increasing efficiency and the accuracy and precision of measurement results.
4.2.2. Digital Measurement Method
- 11.
Probing Measurement Technology
Researchers have taken advantage of miniature-sized probes for in-depth micro-hole measurements, including fiber probe technology [
41,
42,
43,
44,
45] and capacitive probe technology [
46,
47,
48,
49,
50,
51]. Salah crafted a rotational wire probe using stainless steel wire and a microtube, employing an acoustic emission device to perform contact detection by approaching and impacting the inner walls of cooling hole [
41]. This method is utilized for measuring the diameter and roundness of the holes. Their experiment successfully measured the micro holes with diameters less than 1mm and depth-to-diameter ratios of approximately 10:1, obtaining 3D profiles of the inner walls. Cui Jiwen [
42] developed a twin Fiber Bragg Grating (FBG) probe for measuring large depth-to-diameter ratio micro holes. This design achieved multidimensional tactile perception along the X-axis and Z-axis while guiding the optical signal through the probe [
43]. The design mitigates shadow effects to some extent, and the probe, with a diameter of less than 100μm, is suitable for measuring micro holes in various industries. Building on this research, Feng Kunpeng [
44] integrated the FBG probe with a measuring machine and introduced a data processing method with transformation of the signal domain and multiple fitting, enhancing the measurement accuracy of micro-hole diameters. Muralikrishnan [
45] employed fiber deflection probing technology (FDP), integrating the fiber probe with a coordinate measuring machine to measure the diameter and shape of micro holes, achieving a measurement uncertainty of 0.07 μm. This technology can measure micro holes with depth-to-diameter ratios up to 20:1. However, the accuracy depends on the alignment of the probe with the hole axis and the machine axis, as there is no established reference standard for measurement.
Figure 10 displays the measurement principle.
Ma Yuzhen [
46,
47] researched the capacitive probe measurement method for micro holes. To measure the diameter of deep and angled holes, they developed a non-contact capacitive probe that measures the gap between the probe electrode and the hole's inner wall. They proposed a hole axis fitting algorithm that combines the projection and least squares fitting. Experiment results confirm that the measurement data maintains consistent accuracy for holes with a depth-to-diameter ratio exceeding 10:1 and is not affected by where the probe enters the hole. Sun Xuan [
48] established a micro hole diameter measurement system based on a coaxial cylindrical capacitive sensor. By identifying the central axis of the sensor and the micro hole using a charge-coupled device (CCD) camera and aligning the probe with the hole center using a movement system, then driving the capacitive probe into the hole and measuring micro holes with a depth-to-diameter ratio of 13:1. This system can measure the internal diameter at any depth within the hole, with a standard deviation 0.167μm. Lee Neville [
49] introduced a low-cost capacitive probe hole measuring system, determining the center position of the signal by locating the position of the minimum capacitive signal. Bian [
50] developed a specialized hole diameter measurement system based on spherical scattering electric field technology. This system converts the tiny gap between a detection sphere on the probe and the test piece into an electrical signal, enabling non-contact, nanoscale resolution measurements of hole diameters.
Li Qi [
8] utilized the principle of laser interferometry to design a cooling hole measurement system based on a laser rangefinder sensor. Guided by a digital blade model, the coordinate measuring machine(CMM)drives the probe into the cooling hole at various depths. The sensor acquires measurement data, which is processed by specialized software to determine the diameter of cooling holes and any position deviations.
In addressing the micro-probe measurement methods, researchers predominantly integrate CMMs with probes, controlling the probe to follow a planned path and scan the inner wall of cooling holes. These approaches offer high reliability and are not influenced by the hole depth or the inner wall's characteristics, allowing precise measurements for critical areas. However, these methods cannot provide information on the positional accuracy or minor damages. These notable limitations include low efficiency, not being applicable for measuring curved holes, the potential for causing damage to the sample surface, and the inability to meet the demands of large-scale industrial measurements.
- 12.
Optical Measurement Technology
Optical measurement technology represents a principal approach for non-contact measurement of cooling holes, encompassing machine vision, 3D reconstruction, stripe pattern projection, and luminous flux methods. The non-contact character of optical methods enables in-situ measurement capabilities. Additionally, by not physically interacting with the object, these technologies offer significant advantages in preventing any potential damage to cooling holes during the measurement process.
Cheng Yuqi from Huazhong University of Science and Technology utilized a stereo vision 3D reconstruction technology to measure the diameter of cooling holes. The experiment results indicate that the evaluation error in measuring diameters is within 0.05mm. This method allows simultaneous measurement of multiple cooling holes, significantly enhancing measurement efficiency[
51]. Li Lei from Xi'an Jiaotong University [
52] developed a cooling hole measurement method based on microscopic image sequence topographical reconstruction. A new measuring operator was established to measure the focus of the cooling hole image sequence. The reconstructed models obtained by this method show a standard deviation ranging from 0.007 mm to 0.018 mm. For cooling holes with a depth-to-diameter ratio close to 5:1, the absolute error in diameter is less than 0.01 mm.
Figure 11 demonstrated measurement system. Zhao Yuanyuan from Shanghai Jiaotong University [
53] employed a light field camera to capture sub-aperture images of cooling holes. Epipolar plane images(EPI) was generated from sub-aperture images and convert depth information into 3D point cloud data through EPIs. This method captures the 3D point cloud of cooling holes in a single exposure, greatly enhancing the measurement efficiency of cooling holes and demonstrating the potential of light field cameras in the micro hole measurement area.
Figure 12 presents the original light field image and 3D cloud point of cooling hole.
Munkelt [
54] addressed the issue of thermal barrier coating potentially covering or filling cooling holes. An optical 3D scanning method based on the fringe projection principle was utilized to scan the blades, enabling the automatic detection of covered cooling holes and precise guidance for the laser drilling process. Xu Dongjing at Nanjing University of Aeronautics and Astronautics [
55,
56] proposed a method for measuring the geometric parameters of micro holes based on luminous flux. They established a mathematical model correlating the area of an orifice with the emitted luminous flux. A measured hole is non-compliant if the measured luminous flux does not align with the luminous flux values for standard holes. This method can meet the industrial measurement requirements, which is a variation rate of 5%. Still, it only provides qualitative assessments, lacking the capability for quantitative measurement of hole geometry parameters. Jin, from South Korea [
57], studied through silicon via (TSV) used in semiconductor device packaging. TSVs have an aspect ratio of 20:1 and diameters ranging from 50 to 200μm [
58]. Jin used an optical comb of femtosecond pulse laser in the infrared range as a light source and, based on spectral resolved interferometry, achieved measurement for micro holes with a depth-to-diameter ratio of 7:1. However, this method cannot provide information on the 3D profile of inner walls [
57]. Wu Chunxia [
59] developed a near-infrared microscopic interferometry technology with aberration compensation for TSV inspection. This method enabled micro hole measurement with a depth-to-diameter ratio up to 6:1, including the depth and bottom surface morphology.
The above measurement methods primarily focus on finished cooling holes. However, in-situ measurements during the manufacturing process of cooling holes can timely detect errors, allowing for adjustment and optimization of manufacturing parameters, enhancing manufacturing quality to its maximum and avoiding defective workpieces. Weifang Sun [
60] implemented an in-situ measurement method during the drilling process by integrating an image-capturing device into a laser drilling machine with an image edge feature extraction algorithm, enabling the measurement of cooling holes' diameter and roundness. The experimental results indicate that the absolute errors of the diameter and roundness are 0.05 μm and 11.13 μm, respectively. This method demonstrates the potential and feasibility of in-situ measurements in the domain of cooling holes. Shetty [
61] utilized a vision system to acquire the diameter and orifice shape of cooling holes, coupled with a collimating tube to illuminate the inner wall to determine the presence of hole bottom. This method enables real-time in-situ measurement of the drilling depth and drilling speed.
- 13.
Infrared Imaging Technology
Besides optical measurement technologies, researchers have exploited the principles of infrared imaging, generating heat within the blade and identifying the geometric characteristics of cooling holes through infrared images [
62]. Rosemau [
63] developed a measurement system for cooling holes based on infrared imaging. This system cyclically heats and cools the blade, capturing infrared images of the thermal airflow effusing from the cooling holes. The temperature intensity change rate during the heating and cooling processes is utilized to assess hole quality. Experiment results indicate that the system achieved a 98.3% recognition rate for defective holes and a 99.7% recognition rate for qualified holes. This method allows for preliminary filtering of cooling hole quality through qualitative assessment, although it is limited in measuring precise geometric parameters due to its measuring principle. He Qing [
64] proposed a high-pressure turbine cooling hole testing method based on infrared imaging principles, capable of identifying whether the holes are clear or blocked. Xia Kailong [
36] optimized He Qing’s work by constructing an infrared measurement system, including a thermal imager, heat excitation source, turntable, and movement system. The system applies thermal excitation to cooling holes, captures infrared image sequences, and uses the canny algorithm and Hough circle transform function for image processing to calculate the diameters of cooling holes. Experiment results demonstrate that average deviations between the horizontal and vertical row of cooling holes and plug gauge are 4.40% and 2.32%, respectively. The infrared map of cooling hole is shown in
Figure 13.
- 14.
CT Scanning Technology
Industrial CT technology is a widely used non-destructive testing method that generates 3D profiles of both the internal and external structures of the workpiece through radiation scanning. This technology applies to various aerospace components [
65]. Wang Wenhu[
66] conducted measurements on blades using industrial CT scanner. They extracted a 3D point cloud of shaped cooling holes as key features. Through computational processing, they obtained critical parameters such as the size, shape, and contour of cooling holes. The typical measurement results from industrial CT are presented in
Figure 14 [
67].
Jiang Qilin [
68] conducted quality inspections on blades, using industrial CT to measure the cooling hole profiles. By examining cross-sectional scans, any internal wall intersections can be observed clearly.
Figure 7 demonstrates a blade cross-section by industrial CT scan. Yang Zenan [
69] utilized cone-beam CT technology to compare cooling holes manufactured with different manufacturing parameters and analyze their geometrical features and manufacturing quality. This work demonstrates the feasibility of using cone-beam CT technology to evaluate the quality of cooling holes.
- 15.
Composite Measurement Technology
Due to the limitations of single-method measurements in obtaining comprehensive quality indicators of cooling holes, multi-sensor composite measurement methods have garnered attention.
Chen Xiaomei [
70] researched measuring micro hole positions on complex curved surfaces. Traditional methods typically employ a single optical vision sensor, but the optical focusing function faces limitations due to the complexity of surfaces. Consequently, they proposed a dual-sensor autofocus method combining vision with tactile sensing, and experiment results indicate that for measuring micro holes with a diameter of 0.5mm distributed on an elliptical cylinder, the focusing deviation ranges from -23 μm to +95 μm. This dual-sensor autofocus method proves to be a more accurate and reliable method for measuring micro holes on complex surfaces, detailed diagrams are shown in
Figure 15. Sui Xin from Changchun University of Science and Technology [
71,
72] developed a multi-sensor technology combining contact and non-contact measurements. They utilized a fiber probe to touch the inner wall along the hole, with a CCD recording the relative position of the inner wall and the probe. This method achieves the measurement of five parameters for micro holes, including cylindricity, diameter, roundness, taper, and straightness. Additionally, measurement results for cylindricity and taper demonstrate repeatability of 1.36 μm and 1.51 μm, respectively.
Stimpson [
73] conducted research on the cooling performance of cooling holes produced via additive manufacturing. To assess these cooling holes, they employed a combination of Industrial CT and Scanning Electron Microscope (SEM), which allowed them to measure the geometric features of cooling holes and the roughness of inner walls. The integration of these two technologies provided a comprehensive analysis of both the macro-structural and micro-structural characteristics of cooling holes, offering insights into how additive manufacturing technology affects these critical components.
NOVACAM company from Canada [
74] developed the cooling hole inspection system, EDGEINSPECTTM, based on low coherence interferometry measurement technology. This non-contact inspection system is capable of acquiring high-precision 3D point cloud at speeds from 2,100 to 100,000 points per second. The measurement results provided by this system include parameters such as the orifice shape, inner diameter and the axial orientation of cooling holes. SURVICE Metrology, a company based in the United States, have integrated blade surface images from optical scanners with internal 3D profile from industrial CT, and analyzed the manufacturing accuracy of cooling holes [
75]. The technology roadmap is illustrated in
Figure 16. Additionally, General Electric (GE)company proposed a composite method combining CMMs with optical scanners to inspect the distribution of cooling holes in blades [
76].
- 16.
Automated Measurement Platform
To meet the measurement requirements of cooling holes, researchers have constructed an automated measurement platform that integrates machine vision and image processing methods to address practical inspection challenges and to study problems encountered in engineering applications. Bao Chenxing [
77] designed and developed a 4-axis cooling hole measurement system based on CCD. This system uses a turntable to rotate the blade along a specific axis, and the CCD captures images of cooling holes during rotation without aligning a CCD with a hole. Further, the standard for cooling hole alignment is where the image of the cooling hole is a perfect circle. The hole axis and diameter are identified and calculated by Halcon, an open-source image processing software. This system demonstrates the repeatability error of 0.2° for the hole axis and 0.1mm for the hole diameter.
Figure 17 illustrates the detection device and imaging system used in the experiment [
77].
Bi Chao and team from the Precision engineering Institute for aircraft industry conducted a series of studies [
78,
79,
80,
81,
82,
83,
84] focused on cooling hole measurement and construction and design of the measurement system. These studies include establishing coordinate systems within the measurement systems and transforming measurement data from 2D coordinates in the image coordinate systems to 3D coordinates in global coordinate systems by mathematical approach [
78]. Additionally, Bi constructed 4-axis and 5-axis visual measurement platforms using CMM, high-precision turntables, and CCD [
79,
80,
81,
82,
83]. The 4-axis visual measurement platform captures sequential images of the inner wall of cooling holes with different depths by axially moving the CCD, using depth from focus methods to get the 3D profile of the inner wall of cooling holes, the detailed measurement system is illustrated in
Figure 18, whereas it cannot provide specific dimensions of the inner wall. The 5-axis visual measurement platform organizes the measurement trajectory based on the 3D digital model of blades, achieving a repeatability accuracy for hole diameter within -10μm to +10μm and for hole center coordinates within -12μm to +12μm. Building on this research, Bi [
84] proposed a method for synthesizing axis of cooling hole using a 3D point cloud. By fitting the annular point cloud of inner wall to obtain the center coordinates and then fitting the center coordinates at different depths into a straight line, the axis of cooling hole is finally established. To simplify, convert the calculated direction vector of axis into the angle between the vector and the coordinate axis, as well as the angle between the vector projection and the coordinate axis. The angles show a repeatability error within 0.3°.
Wang Cheng [
40] utilized a 5-axis optical CMM to measure cooling holes. They employed a CCD to capture images of cooling holes and calculate the diameter and center coordinates of the holes. To validate the measurement accuracy, the measuring platform was used to measure a simulation specimen (standard disc), and limit error is 0.024mm for diameter and 0.042mm for positional accuracy. Nevertheless, since the measurement process requires continuous adjustments relative position of the CCD and cooling hole to align the hole axis, it relied on manual experience and subjective visual judgment, which can potentially affect the precision of the measurement results.
LiaoTao [
85] modelled a digital virtual specimen of blades by extracting blade profile parameters, including the number and position information of cooling holes. They developed specialized software based on the digital virtual specimen, enabling real-time prediction and compensation of drilling positions during the manufacturing, according to the extent of blade deformation. The simulation results and experiment results demonstrate that the positioning errors of cooling holes are 1.34μm and 4.25μm, respectively, proving this prediction method can satisfy the cooling efficiency requirements. Zhang Min [
86] researched the issue of axial inspection of cooling holes. They proposed an inspection scheme for the axial direction based on an improved Gaussian mapping algorithm. Using a line laser scanner, the high-precision point cloud is obtained to extract the axial feature parameters of cooling holes. The experiment results confirm that this method achieved an extraction precision of 0.6290°.
Based on the above studies,
Table 2 organizes and summarizes the main measurement technologies for cooling holes, outlining the measurement parameters of each technology along with their advantages and disadvantages.