MeasurementPub Date : 2024-11-28DOI: 10.1016/j.measurement.2024.116282
Feiwen Wang, Qi Jiang, Maosheng Ye, Yingxuan Zhang, Lihui Yu
{"title":"Shape sensing technology based on fiber Bragg grating for flexible instrument","authors":"Feiwen Wang, Qi Jiang, Maosheng Ye, Yingxuan Zhang, Lihui Yu","doi":"10.1016/j.measurement.2024.116282","DOIUrl":"10.1016/j.measurement.2024.116282","url":null,"abstract":"<div><div>The absence of shape information can result in inaccurate localization and control of slender, flexible surgical instruments in narrow and tortuous lumen environments. In order to deal with the problem of shape sensing, this paper presents a prototype optical fiber shape sensor based on a triangular configuration, with each fiber containing 10 Fiber Bragg Grating (FBG) sensors. Given that the optical fiber is glued to the substrate, a four-layer strain transfer model is developed to analyze the adhesive’s effect on adhesion performance and to correct the curvature sensitivity coefficient matrix. This paper uses ANSYS software to generate 8 curves of varying complexity and analyze how the number of curvature sampling points affects the performance of three shape reconstruction algorithms. Finally, perception experiments on eight sets of predefined 3D spatial templates are carried out to verify the theoretical model. The experimental results indicate that the average end position error, average Frechet distance error, and average RMSE of the three algorithms were less than 1.1%, 1.6%, and 0.6% of the total sensor length, respectively. Therefore, the algorithms proposed in this paper effectively sense the sensor’s shape.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"243 ","pages":"Article 116282"},"PeriodicalIF":5.2,"publicationDate":"2024-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142757659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
MeasurementPub Date : 2024-11-28DOI: 10.1016/j.measurement.2024.116265
Mengyu Li , Ruiqi Wang , Wei Li , Hanqing Chen , Rui Min , Zhongke Gao
{"title":"Characterization and visualization of gas–liquid two-phase flow based on wire-mesh sensor","authors":"Mengyu Li , Ruiqi Wang , Wei Li , Hanqing Chen , Rui Min , Zhongke Gao","doi":"10.1016/j.measurement.2024.116265","DOIUrl":"10.1016/j.measurement.2024.116265","url":null,"abstract":"<div><div>Gas–liquid two-phase flow is prevalent in both industrial production and the natural environment, making the exploration of its flow behavior critically important. In this study, we design a wire-mesh sensor and measurement system to conduct dynamic experiments on vertical upward gas–liquid two-phase flow, obtaining multi-channel data under various conditions. We develop an integrated limited penetrable visibility graph network (ILPVGNet) to quantitatively assess the dynamic transition from slug flow to bubble flow using network metrics. The results demonstrate that this approach effectively integrates multi-channel measurements, revealing the evolution dynamics and internal coupling mechanisms of gas–liquid two-phase flow. To better observe fine flow structures and details, we perform visualization and super-resolution analysis on the multi-channel data, significantly enhancing image clarity and restoring detailed features, thereby improving our ability to intuitively analyze complex gas–liquid flow behaviors.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"243 ","pages":"Article 116265"},"PeriodicalIF":5.2,"publicationDate":"2024-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142757660","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
MeasurementPub Date : 2024-11-27DOI: 10.1016/j.measurement.2024.116329
Xiang-Tao Xiao , Jie Xia , Song Tang , Chunyan Kong , Liang Zhang
{"title":"Experiment study of long pulse eddy current / eddy current pulse-compression thermography detection on large area with low-frequency and low-current","authors":"Xiang-Tao Xiao , Jie Xia , Song Tang , Chunyan Kong , Liang Zhang","doi":"10.1016/j.measurement.2024.116329","DOIUrl":"10.1016/j.measurement.2024.116329","url":null,"abstract":"<div><div>Eddy current pulsed thermography (ECPT) excited by high-frequency and high-current is at risk of causing irreparable damage to the detection object. Furthermore, using a high-current excitation pattern in flammable and explosive environments is strictly prohibited. To cope with that limitation, long pulse eddy current thermography (LPECT) and eddy current pulse-compression thermography (ECPuCT), which work in weakened excitation conditions, are two reasonable technologies. The LPECT experiment in low-frequency (50 Hz) excitation shows that subsurface defects are detected when the current is 8.3 A. Compared with LPECT, the experiment results of 13-bit barker-coded ECPuCT show the possibility of further reducing the excitation current and improving the defect detection signal–noise ratio (SNR). With a two-coil magnetic core inductor, defects whose aspect ratio is over 6 in a large area are effectively detected by ECPuCT. That confirms LPECT and ECPuCT are suited for high-risk environments, such as the petrochemical field.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"243 ","pages":"Article 116329"},"PeriodicalIF":5.2,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142757662","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
MeasurementPub Date : 2024-11-27DOI: 10.1016/j.measurement.2024.116319
Kailin Zhang , Yue Pan , Xiping Xu , Liang Xu , Wancheng Liu , Motong Hu , Yi Lu , Yajie Cao
{"title":"Opto-mechanical-thermal integration design of the primary optical system for a tri-band aviation camera","authors":"Kailin Zhang , Yue Pan , Xiping Xu , Liang Xu , Wancheng Liu , Motong Hu , Yi Lu , Yajie Cao","doi":"10.1016/j.measurement.2024.116319","DOIUrl":"10.1016/j.measurement.2024.116319","url":null,"abstract":"<div><div>This paper presents a tri-band aviation camera that integrates short-wave infrared (SWIR, 0.9–1.7 μm), mid-wave infrared (MWIR, 3.7–4.8 μm) and visible (VIS, 0.486–0.656 μm) bands into a primary optical system and three subsystems, to enhance optical remote sensing capabilities. The focus is on opto-mechanical-thermal integration to effectively manage thermal stress and minimise deformation. Finite Element Analysis is employed to extract Zernike coefficients for deformation analysis, facilitating a comprehensive assessment of the camera’s performance across a temperature range of −40 °C to 60 °C. An innovative flexible support system is integrated to maintain the optimal surface figure of the primary mirror, further reducing thermal effects. Extensive empirical testing, including resolution and wavefront error detection, has validated the system’s robustness under various thermal conditions.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116319"},"PeriodicalIF":5.2,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142743956","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
MeasurementPub Date : 2024-11-27DOI: 10.1016/j.measurement.2024.116294
Yongzhe Li , Wenkai Fu , Lingyi Meng , Xiaoyu Wang , Xiaochao Liu , Guangjun Zhang , Yijun Zhou
{"title":"Calibration of multi-robot coordinates for collaborative wire arc additive manufacturing using cross-source 3D point cloud models","authors":"Yongzhe Li , Wenkai Fu , Lingyi Meng , Xiaoyu Wang , Xiaochao Liu , Guangjun Zhang , Yijun Zhou","doi":"10.1016/j.measurement.2024.116294","DOIUrl":"10.1016/j.measurement.2024.116294","url":null,"abstract":"<div><div>To increase the deposition deficiency and extend the working range of a single actuator, multi-robot collaborative wire arc additive manufacturing (MRC-WAAM) is proliferating in industry. Implementing an MRC-WAAM system should ensure precise transformations between a part frame and multiple robot work frames (RWFs) to facilitate fabrication quality. This paper proposes a novel calibration method for calculating the spatial correlation of RWFs by registering readings of multiple robot-carried 3D sensors. After formulating the influence of both translational and rotational errors, the principles and implementation are presented. To deal with the heterogeneity of cross-source point cloud models, an improved iterative closest point algorithm is articulated. The results of validation show that the proposed method can achieve high accuracy in orientation consistency of RWFs with an error of 0.091 deg, which is superior to the current state-of-the-art. This method can alleviate the consequences caused by the inconformity of multi-robot frames.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116294"},"PeriodicalIF":5.2,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142744043","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
MeasurementPub Date : 2024-11-27DOI: 10.1016/j.measurement.2024.116323
Dil Bahar, Akshay Dvivedi, Pradeep Kumar
{"title":"Optimizing the quality characteristics of glass composite vias for RF-MEMS using central composite design, metaheuristics, and bayesian regularization-based machine learning","authors":"Dil Bahar, Akshay Dvivedi, Pradeep Kumar","doi":"10.1016/j.measurement.2024.116323","DOIUrl":"10.1016/j.measurement.2024.116323","url":null,"abstract":"<div><div>Technological improvement in micro devices has accentuated the demand for glass and its composites. The μ-ECDM is emerging as an evolutionary technique for glass composite micro drilling, required for glass vias in the packaging of Radio Frequency Micro Electromechanical Systems (RF-MEMS). A response surface-based central composite design and metaheuristic algorithms have been employed to optimize the quality characteristics (in terms of deviation and smoothness) of drilled micro holes in glass epoxy composite. Subsequently, a Bayesian regularization-based Machine Learning (ML) algorithm has been deployed to substantiate the reliability of optimal outcomes from metaheuristic algorithms. At optimal point, process parameters were obtained around 48 V, 48 °C, 3.56 ms, 550 rpm with corresponding optimal outcomes of around 35 % smoothness and 20 % deviation of micro holes. The Bayesian regularization-based ML model validated the optimal outcomes with an insignificant deviation ranging from 0.45 to 2.87 %. Consequently, improvement in quality characteristics at optimal conditions has been conjectured for the industrial feasibility of the process in micro drilling the glass composite vias.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"243 ","pages":"Article 116323"},"PeriodicalIF":5.2,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142743593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
MeasurementPub Date : 2024-11-26DOI: 10.1016/j.measurement.2024.116295
Xueping Xu , Zhenkai Zhao , Wei Liu , Weiwei Wu
{"title":"Modeling and calculation of magnetic noise in nanocrystalline magnetic shielding barrel considering anisotropy and stress effects","authors":"Xueping Xu , Zhenkai Zhao , Wei Liu , Weiwei Wu","doi":"10.1016/j.measurement.2024.116295","DOIUrl":"10.1016/j.measurement.2024.116295","url":null,"abstract":"<div><div>Nanocrystalline alloys provide a low magnetic noise environment for spin-exchange relaxation-free (SERF) magnetic field measurement devices. However, the anisotropy of nanocrystalline significantly impacts their permeability and conductivity. Additionally, nanocrystalline strips on magnetic shielding barrel (MSB) increase magnetic noise due to bending stress. Therefore, this paper proposes an analytical model for magnetic noise calculation considering the anisotropy and bending stress of the nanocrystalline MSB. First, the magnetic noise computation model of the nanocrystalline MSB considering anisotropy, is established. Then, the bending stresses of the nanocrystalline ribbons with different curvatures are quantitatively modeled. The nanocrystalline loss under different bending stresses is separated by constructing a stress-dependent dynamic Jiles-Atherton (SDDJA) model. The magnetic noise of nanocrystalline MSB is calculated, and results show that the bending stress in the nanocrystalline MSB is positively correlated with hysteresis loss noise. The difference in average magnetic noises (1–100 Hz) of the nanocrystalline MSB between the experiment and calculation is only 4.17 %, which verifies the proposed method. This research can improve the accuracy of magnetic noise analysis and be the design benchmark for magnetic noise suppression.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116295"},"PeriodicalIF":5.2,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142722471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
MeasurementPub Date : 2024-11-26DOI: 10.1016/j.measurement.2024.116292
Peng “Patrick” Sun , Mohammad Vasef , Lin Chen
{"title":"Multi-vision-based displacement monitoring using global-local deep deblurring and Rauch-Tung-Striebel smoother","authors":"Peng “Patrick” Sun , Mohammad Vasef , Lin Chen","doi":"10.1016/j.measurement.2024.116292","DOIUrl":"10.1016/j.measurement.2024.116292","url":null,"abstract":"<div><div>Measuring structural vibrations help assess dynamic performances of civil structures and infrastructure. Although conventional displacement sensors have been widely adopted, they are contact-based methods which lack scalability. Recently, computer vision (CV) has been applied as a noncontact method to measure displacements. However, fast speed of structural vibration (e.g., in shake table tests) can inevitably cause motion blur that imposes challenges in all image-based object/feature detections, especially for normal portable cameras (without high-speed shutters). To address such issue, the study proposed a multi-vision, full-field sensing framework with affordable cameras using a novel global–local detection and deblurring (GLDD) module, which was designed with a generative adversarial network (GAN)-based deblurring model to enhance detection efficiency and accuracy by restoring blemished videos from multiple perspectives. Rauch-Tung-Striebel (RTS) smoother was studied for data fitting using incomplete observations caused due to severe motion-induced blurs. A shake table test was conducted on an aluminum frame with cameras and conventional sensors monitoring the structural vibrations. Fiducial markers were used to track the movement of the key locations on the structure. Results showed that the proposed method is satisfactory to monitor shake table tests when compared to conventional measurements with root-mean-square errors of 0.51–0.95 mm. The proposed deblurring module restored misdetection by 92.1 %, 50.6 %, and 25.2 % for mild-, medium-, and severe-level motion blurs, respectively. Smoother-based data fitting outperformed filter-based one when dealing with highly blemished images. The proposed monitoring system with GLDD and RTS smoother-based data fitting provides a robust measurement solution when dealing with motion blurs.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116292"},"PeriodicalIF":5.2,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142743959","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
MeasurementPub Date : 2024-11-26DOI: 10.1016/j.measurement.2024.116317
Da-Zhi Dang, You-Wu Wang, Yi-Qing Ni
{"title":"A novel guided wave testing method for identifying rail web cracks using optical fiber Bragg grating sensing and orthogonal matching pursuit","authors":"Da-Zhi Dang, You-Wu Wang, Yi-Qing Ni","doi":"10.1016/j.measurement.2024.116317","DOIUrl":"10.1016/j.measurement.2024.116317","url":null,"abstract":"<div><div>Ensuring safe operation of railway systems is essential. Detecting early-stage rail defects is crucial to prevent catastrophic incidents, such as derailments. Traditional manual inspection routines are often inefficient and lack robustness. This paper proposes a novel guided wave testing (GWT) method using optical fiber sensing combined with an orthogonal matching pursuit (OMP)-based data processing technique to detect rail damage by reconstructing defect-related reflective wave from complex raw signals. First, a finite element model (FEM) is constructed to simulate ultrasonic guided wave (UGW) signals and subsequent signal reconstruction using OMP demonstrates capabilities. In the experimental part, a rail segment with a vertical crack is installed with a fiber Bragg grating (FBG) sensor to receive UGW. The reconstructed signals confirm the effectiveness of our method in identifying the rail web crack location. This method offers a novel approach for rail crack identification, promoting more efficient inspection methods for extensive rail transportation networks.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"243 ","pages":"Article 116317"},"PeriodicalIF":5.2,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142757658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
MeasurementPub Date : 2024-11-26DOI: 10.1016/j.measurement.2024.116318
Yang Zhao, Yanfang Zhang, Jiang Wang, Qingrui Yue, Hongbing Chen
{"title":"Comparison of non-destructive testing methods of bolted joint status in steel structures","authors":"Yang Zhao, Yanfang Zhang, Jiang Wang, Qingrui Yue, Hongbing Chen","doi":"10.1016/j.measurement.2024.116318","DOIUrl":"10.1016/j.measurement.2024.116318","url":null,"abstract":"<div><div>This article analyzes the commonly used non-destructive testing methods of bolted joints. The contact method has high recognition accuracy for preload detection but is greatly affected by the coupling between sensors and interfaces. The non-contact method is convenient for collecting signals, but its recognition accuracy is greatly affected by environmental noise. For stress identification of steel plates, the identification accuracy is limited by the interface coupling situation and the shallow stress can only be identified. The evaluation of bolted joint status is mainly characterized by interface stiffness, parametric research should be conducted to explain the mapping mechanism between stress waves and interface stiffness. Machine learning can help improve the accuracy and efficiency of damage detection, but the end-to-end recognition model does not have physical significance. Therefore, the hardware and lightweight, intelligent recognition algorithms should be developed to improve the computational efficiency of the model and physical interpretability.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116318"},"PeriodicalIF":5.2,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142743954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}