Article
Computer Science, Information Systems
Yingqi Li, Chao Sun, Yuechan Liu
Summary: This study proposes a non-destructive testing method combining magnetic flux leakage testing technology and a kernel function extreme learning machine improved by genetic algorithm (GA-KELM) for studying the safety of oil and gas pipelines under stress corrosion conditions and grasp the corrosion damage situation. The method includes numerical simulation to obtain the variation of corrosion defect dimension and profile with time, analysis and study of the magnetic flux leakage signal distribution under different defect conditions, feature selection on the magnetic flux leakage signal distribution curve, and using GA-KELM to predict the depth and length of corrosion defects. The results show that GA-KELM prediction model is effective and more accurate in predicting the depth and length of corrosion defects compared to the traditional extreme learning machine prediction model.
Article
Engineering, Mechanical
A. Arifin, S. Abdullah, A. K. Ariffin, N. Jamaludin, S. S. K. Singh
Summary: The aim of this study was to determine the relationship between fatigue crack length, the number of cycles, the magnetic flux gradient intensity and the stress ratio. Experimental results showed an exponential increase in the magnetic flux gradient as the fatigue cycle and crack length increased. Governing equations were derived based on the magnetic flux gradient, and a statistical analysis of the magnetic flux leakage parameters suggested their potential use in predicting fatigue life as an alternative method.
THEORETICAL AND APPLIED FRACTURE MECHANICS
(2022)
Article
Engineering, Electrical & Electronic
Yue Long, Jinghua Zhang, Songling Huang, Lisha Peng, Wenzhi Wang, Shen Wang, Wei Zhao
Summary: This paper proposes a detection topology that integrates the magnetic field signal first and then samples it to effectively sample the leakage magnetic field of cracks. It also presents a magnetic field spatial integration method for the quantification of crack defects. Results from finite element simulation and physical experiments demonstrate the effectiveness of the proposed method in quantifying crack size. The paper further discusses the insensitivity of crack MFL signal distribution to width, which makes the classic MFL opening profile recognition methods for metal loss defects no longer applicable to crack defects.
IEEE SENSORS JOURNAL
(2022)
Article
Engineering, Marine
Yan Dong, Xiangyu Kong, Gansheng An, Jichuan Kang
Summary: This study aims to assess the fatigue reliability of single-sided girth welds in offshore pipelines and risers, taking into account Non-destructive Inspection (NDI) through crack propagation analyses. The study shows that the initial crack size distribution can be significantly changed by NDI and possible repair, and the effect of misalignment on fatigue strength is not as significant as recommended by the fatigue design code.
Article
Engineering, Industrial
Pablo B. P. Leao, Shutong Zhang, J. R. Barros Neto, Suyanny A. Freire, Rodrigo de C. P. Loureiro, Antonio J. Ramirez, H. F. G. de Abreu
Summary: Tensile armor made of pearlitic steel wires undergoes a series of manufacturing processes including hot-rolling, patenting treatment, cold forming, wire coiling, stress relief, and re-winding. The effect of key parameters on the microstructure, microtexture, and crack susceptibility was investigated by simulating different process routes. The study found that the microtexture orientation and crack susceptibility were influenced by the PT and stress relief treatment, which led to the formation of small recrystallized grains in pearlitic blocks.
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Guanyang He, Yiou Zhang, Yuebin Hu, Xixiang Zhang, Gang Xiao
Summary: Magnetic flux leakage (MFL) testing, with new magnetic sensors, has improved detectability, and the new MFL probe using vortex magnetic tunnel junctions (MTJs) shows excellent performance in crack detection in weakly magnetic cement, with applications in the energy industry and other infrastructural systems.
SENSORS AND ACTUATORS A-PHYSICAL
(2021)
Article
Materials Science, Characterization & Testing
Bin Liu, Yusen Liang, Luyao He, Zheng Lian, Hao Geng, Lijian Yang
Summary: Magnetic Flux Leakage (MFL) internal detection is an effective method for assessing long-distance oil and gas pipelines. This study used a propagation compensation factor (PCF) applied to a classical magnetic charge model to quantify outer surface defects affected by pipe wall and its shielding effect. The established model for outer surface defects in long-distance oil and gas pipelines was used to analyze the characteristics of MFL signals with different wall thicknesses and defect sizes. Experimental validation using X70 pipes with different wall thicknesses showed the significant attenuation effect of pipe wall thickness on MFL signals of external defects.
NDT & E INTERNATIONAL
(2023)
Article
Engineering, Electrical & Electronic
Xiang Peng, Huan Liu, Kevin Siggers, Zheng Liu
Summary: This article proposes an automatic box data matching framework for fusing multi-modal MFL data, consisting of four major steps: preprocessing, grouping, alignment, and matching. Experimental results demonstrate that the framework can accurately match multi-modal MFL box data, enhancing the reliability and accuracy of pipeline corrosion assessment.
IEEE TRANSACTIONS ON MAGNETICS
(2021)
Article
Engineering, Civil
Fitsum Emagnenehe Yigzew, Hansun Kim, Sebum Mun, Seunghee Park
Summary: Magnetic flux leakage (MFL) is a commonly used non-destructive technique for diagnosing defects in steel structures. This study proposes a 3D visualization approach based on MFL for identifying and evaluating the severity of metal loss defects. The method provides an effective means of ensuring the structural integrity of specimens in various industries and offers insights for on-site inspections.
JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING
(2023)
Article
Engineering, Multidisciplinary
Daniel Fernandez Alonso, YeGu Kang, Diego Fernandez Laborda, Maria Martinez Gomez, David Diaz Reigosa, Fernando Briz
Summary: Torque measurement/estimation in permanent magnet synchronous machines (PMSMs) is essential for various applications, and can be achieved through direct torque measurement using sensors or estimation methods. Injecting a high frequency signal into the stator for parameter identification has been shown to be effective but raises concerns about machine performance, leading to the proposal of a low-cost torque estimation method using Hall-effect sensors in this article.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2021)
Article
Engineering, Manufacturing
Jette Oddershede, Florian Bachmann, Jun Sun, Erik Lauridsen
Summary: This study presents three new advanced acquisition strategies for lab-based diffraction contrast tomography, which enable grain mapping of longer, larger, high-aspect ratio samples. These strategies combine rotation with translations to achieve seamless data collection and reconstruction. Experimental results demonstrate a substantial reduction in data collection time and/or improvement in grain statistics, showing great promise for computational materials science and engineering applications.
INTEGRATING MATERIALS AND MANUFACTURING INNOVATION
(2022)
Article
Energy & Fuels
Bin Liu, Zihan Wu, Peng Wang, Luyao He, Lijian Yang, Zheng Lian, Tong Liu
Summary: This study aimed to solve the quantitative problem of the magnetic flux leakage (MFL) internal detection signals of long-distance oil and gas pipelines. Based on the magnetic charge theory, a numerical-analytical model for MFL internal detection of pipeline complex defects was constructed by introducing stress factor in this work. The effectiveness of the model was verified through experiments, and the results showed significant improvement in the accuracy of magnetic signal analysis by determining the optimal division size on the end face defects. The study also analyzed the distribution pattern and characteristics of magnetic signals under different geometric sizes and stresses of defective end-face.
Article
Chemistry, Analytical
Jamal Yousaf, Regidestyoko Wasistha Harseno, Seong-Hoon Kee, Jurng-Jae Yee
Summary: This study aimed to evaluate the performance of 2D magnetic flux leakage (MFL) signals (B-x, B-y) in D19-size reinforcing steel with various defect conditions. The experimental and numerical results showed a high cross-correlation between the MFL signals and the defect features such as width, depth, and area. The study concluded that the defect features are positively correlated with the sensor signals.
Review
Construction & Building Technology
Armin Dadras Eslamlou, Aliakbar Ghaderiaram, Erik Schlangen, Mohammad Fotouhi
Summary: The increasing demand for life cycle sustainability has led to a significant interest in non-destructive evaluation (NDE) for minimizing defects, waste, and improving maintenance in civil construction materials. Magnetic Sensors (MSs) have gained attention due to their low cost, non-contact data collection, and high sensitivity for damage detection under external stimuli. However, MSs are still in their early stages of development and face various challenges. This paper summarizes recent advancements in MSs, discusses their principles, compares their characteristics, highlights the research challenges, and critically reviews their applications and advantages in civil engineering.
CONSTRUCTION AND BUILDING MATERIALS
(2023)
Article
Computer Science, Information Systems
Joongho Ahn, Jinhwan Baik, Chulhong Kim, Sung-Min Park
Summary: A highly sensitive tunneling magnetoresistive (TMR) imaging system was proposed for detecting sub-surface defects in thin steel samples, showing great potential as an NDT technique for steel manufacture management.
Article
Engineering, Multidisciplinary
Osman Kalender, Yavuz Ege, Omer Eskidere, Idris Karen, Osman Gurdal, Cevat Unal, Emrah Yuruklu, Sedat Nazlibilek, Hakan Citak, Mustafa Coramik, Murat Kabadayi
Article
Physics, Fluids & Plasmas
Yavuz Ege, Murat Kabadayi, Osman Kalender, Mustafa Coramik, Hakan Citak, Emrah Yuruklu, Adem Dalcali
IEEE TRANSACTIONS ON PLASMA SCIENCE
(2016)
Article
Engineering, Multidisciplinary
Yavuz Ege, Mustafa Coramik, Murat Kabadayi, Hakan Citak, Osman Kalender, Emrah Yuruklu, Unal Kurt, Sedat Nazlibilek
Review
Engineering, Multidisciplinary
M. Coramik, Y. Ege
Article
Engineering, Electrical & Electronic
Hakan Citak, Yavuz Ege, Sabri Bicakci, Huseyin Gunes, Mustafa Coramik
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2020)
Article
Engineering, Electrical & Electronic
Huseyin Gunes, Sabri Bicakci, Hakan Citak, Mustafa Coramik, Yavuz Ege
Summary: This study aims to improve the sensitivity of the magnetic anomaly detection (MAD) method and reduce false alarms by determining the upper surface geometry of ferromagnetic-sheathed explosives using the support vector machine (SVM) algorithm. By utilizing the Earth's magnetic field with a TE100 fluxgate sensor, a new magnetic measurement and detection system with low power consumption was developed. With successful tests showing an 88% accuracy rate, this system can classify the upper surface geometry of buried samples effectively.
IEEE TRANSACTIONS ON MAGNETICS
(2021)
Article
Physics, Fluids & Plasmas
Sabri Bicakci, Mustafa Coramik, Huseyin Gunes, Hakan Citak, Yavuz Ege
Summary: A new FPGA-based electromagnetic stirrer system was developed in this study, with improved energy efficiency through fuzzy logic control. The system, designed with three phases fed with PWM voltage, used FPGA and ARM microcontroller to control phase and frequency, ensuring stable rotation of the magnetic stir bar and increasing energy efficiency while reducing energy consumption.
IEEE TRANSACTIONS ON PLASMA SCIENCE
(2021)
Article
Engineering, Electrical & Electronic
Mustafa Coramik, Hakan Citak, Yavuz Ege, Sabri Bicakci, Huseyin Gunes
Summary: The magnetic flux leakage (MFL) method is commonly used to detect discontinuity in ferromagnetic materials. This study aims to determine the optimal sensor position for the MFL method and examine the effects of crack geometry and magnetization velocity on the MFL signal. ANSYS Maxwell simulation software is used to design and produce a pipeline inspection gauge (PIG) device with the optimal magnetization velocity, sensor position, and sensor selection. Experimental investigations were carried out at different velocity values to study the velocity-dependent variation of the MFL signal.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Physics, Fluids & Plasmas
Mustafa Coramik, Hakan Citak, Sabri Bicakci, Huseyin Gunes, Yasin Aydin, Yavuz Ege
IEEE TRANSACTIONS ON PLASMA SCIENCE
(2020)
Article
Education, Scientific Disciplines
Erdogan Ozdemir, Mustafa Coramik, Handan Urek
INTERNATIONAL JOURNAL OF EDUCATION IN MATHEMATICS SCIENCE AND TECHNOLOGY
(2020)
Article
Education & Educational Research
Erdogan Ozdemir, Mustafa Coramik
JOURNAL OF BALTIC SCIENCE EDUCATION
(2018)
Article
Physics, Multidisciplinary
Yavuz Ege, Osman Kalender, Hakan Citak, Sedat Nazlibilek, Mustafa Coramik
INDIAN JOURNAL OF PURE & APPLIED PHYSICS
(2015)
Article
Engineering, Multidisciplinary
Sicheng Jiao, Shixiang Wang, Minge Gao, Min Xu
Summary: This paper presents a non-contact method of thickness measurement for thin-walled rotary shell parts based on a chromatic confocal sensor. The method involves using a flip method to obtain surface profiles from both sides of the workpiece, measuring the decentration and tilt errors of the workpiece using a centering system, establishing a unified reference coordinate system, reconstructing the external and internal surface profiles, and calculating the thickness. Experimental results show that the method can accurately measure the thickness of a sapphire spherical shell workpiece and is consistent with measurements of other materials.
Article
Engineering, Multidisciplinary
Rajeev Kumar, Sajal Agarwal, Sarika Pal, Alka Verma, Yogendra Kumar Prajapati
Summary: This study evaluated the performance of a CaF2-Ag-MXene-based surface plasmon resonance (SPR) sensor at different wavelengths. The results showed that the sensor achieved the maximum sensitivity at a wavelength of 532 nm, and higher sensitivities were obtained at shorter wavelengths at the expense of detection accuracy.
Article
Engineering, Multidisciplinary
Attilio Di Nisio, Gregorio Andria, Francesco Adamo, Daniel Lotano, Filippo Attivissimo
Summary: Capacitive sensing is a widely used technique for a variety of applications, including avionics. However, current industry standard Capacitive Level Sensors (CLSs) used in helicopters perform poorly in terms of sensitivity and dynamic characteristics. In this study, novel geometries were explored and three prototypes were built and tested. Experimental validation showed that the new design featuring a helicoidal slit along the external electrode of the cylindrical probe improved sensitivity, response time, and linearity.
Article
Engineering, Multidisciplinary
Kai Yang, Huiqin Wang, Ke Wang, Fengchen Chen
Summary: This paper proposes an effective measurement method for dynamic compaction construction based on time series model, which enables real-time monitoring and measurement of anomalies and important construction parameters through simulating motion state transformation and running time estimation.
Article
Engineering, Multidisciplinary
Hui Fu, Qinghua Song, Jixiang Gong, Liping Jiang, Zhanqiang Liu, Qiang Luan, Hongsheng Wang
Summary: An automatic detection and pixel-level quantification model based on joint Mask R-CNN and TransUNet is developed to accurately evaluate microcrack damage on the grinding surfaces of engineering ceramics. The model is effectively trained on actual micrograph image dataset using a joint training strategy. The proposed model achieves reliable automatic detection and fine segmentation of microcracks, and a skeleton-based quantification model is also proposed to provide comprehensive and precise measurements of microcrack size.
Review
Engineering, Multidisciplinary
Sang Yeob Kim, Da Yun Kwon, Arum Jang, Young K. Ju, Jong-Sub Lee, Seungkwan Hong
Summary: This paper reviews the categorization and applications of UAV sensors in forensic engineering, with a focus on geotechnical, structural, and water infrastructure fields. It discusses the advantages and disadvantages of sensors with different wavelengths and addresses the challenges of current UAV technology and recommendations for further research in forensic engineering.
Article
Engineering, Multidisciplinary
Anton Nunez-Seoane, Joaquin Martinez-Sanchez, Erik Rua, Pedro Arias
Summary: This article compares the use of Mobile Laser Scanners (MLS) and Aerial Laser Scanners (ALS) for digitizing the road environment and detecting road slopes. The study found that ALS data and its corresponding algorithm achieved better detection and delimitation results compared to MLS. Measuring the road from a terrestrial perspective negatively impacted the detection process, while an aerial perspective allowed for scanning of the entire slope structure.
Article
Engineering, Multidisciplinary
Nur Luqman Saleh, Aduwati Sali, Raja Syamsul Azmir Raja Abdullah, Sharifah M. Syed Ahmad, Jiun Terng Liew, Fazirulhisyam Hashim, Fairuz Abdullah, Nur Emileen Abdul Rashid
Summary: This study introduces an enhanced signal processing scheme for detecting mouth-click signals used by blind individuals. By utilizing additional band-pass filtering and other steps, the detection accuracy is improved. Experimental results using artificial signal data showed a 100% success rate in detecting obstacles. The emerging concepts in this research are expected to benefit radar and sonar system applications.
Article
Engineering, Multidisciplinary
Jiqiang Tang, Shengjie Qiu, Lu Zhang, Jinji Sun, Xinxiu Zhou
Summary: This paper studies the magnetic noise level of a compact high-performance magnetically shielded room (MSR) under different operational conditions and establishes a quantitative model for magnetic noise calculation. Verification experiments show the effectiveness of the proposed method.
Review
Engineering, Multidisciplinary
Krzysztof Bartnik, Marcin Koba, Mateusz Smietana
Summary: The demand for miniaturized sensors in the biomedical industry is increasing, and optical fiber sensors (OFSs) are gaining popularity due to their small size, flexibility, and biocompatibility. This study reviews various OFS designs tested in vivo and identifies future perspectives and challenges for OFS technology development from a user perspective.
Article
Engineering, Multidisciplinary
Yue Wang, Lei Zhou, Zihao Li, Jun Wang, Xuangou Wu, Xiangjun Wang, Lei Hu
Summary: This paper presents a 3-D reconstruction method for dynamic stereo vision of metal surface based on line structured light, overcoming the limitation of the measurement range of static stereo vision. The proposed method uses joint calibration and global optimization to accurately reconstruct the 3-D coordinates of the line structured light fringe, improving the reconstruction accuracy.
Article
Engineering, Multidisciplinary
Jaafar Alsalaet
Summary: Order tracking analysis is an effective tool for machinery fault diagnosis and operational modal analysis. This study presents a new formulation for the data equation of the second-generation Vold-Kalman filter, using separated cosine and sine kernels to minimize error and provide smoother envelopes. The proposed method achieves high accuracy even with small weighting factors.
Article
Engineering, Multidisciplinary
Tonglei Cao, Kechen Song, Likun Xu, Hu Feng, Yunhui Yan, Jingbo Guo
Summary: This study constructs a high-resolution dataset for surface defects in ceramic tiles and addresses the scale and quantity differences in defect distribution. An improved approach is proposed by introducing a content-aware feature recombination method and a dynamic attention mechanism. Experimental results demonstrate the superior accuracy and efficiency of the proposed method.
Article
Engineering, Multidisciplinary
Qinghong Fu, Yunxi Lou, Jianghui Deng, Xin Qiu, Xianhua Chen
Summary: Measurement and quantitative characterization of aging-induced gradient properties is crucial for accurate analysis and design of asphalt pavement. This research proposes the composite specimen method to obtain asphalt binders at different depths within the mixture and uses dynamic shear rheometer tests to measure aging-induced gradient properties and reveal internal mechanisms. G* master curves are constructed to investigate gradient aging effects in a wide range. The study finds that the composite specimen method can effectively restore the boundary conditions and that it is feasible to study gradient aging characteristics within the asphalt mixture. The study also observes variations in G* and delta values and the depth range of gradient aging effects for different aging levels.
Article
Engineering, Multidisciplinary
Min Li, Kai Wei, Tianhe Xu, Yali Shi, Dixing Wang
Summary: Due to the limitations of ground monitoring stations in China for the BDS, the accuracy of BDS Medium Earth Orbit (MEO) satellite orbits can be influenced. To overcome this, low Earth orbit (LEO) satellites can be used as additional monitoring stations. In this study, data from two LEO satellites were collected to improve the precise orbit determination of the BDS. By comparing the results with GPS and BDS-2/3 solutions, it was found that including the LEO satellites significantly improved the accuracy of GPS and BDS-2/3 orbits.
