4.7 Article

Automatic characterization of fracture surfaces of AISI 304LN stainless steel using image texture analysis

期刊

MEASUREMENT
卷 45, 期 5, 页码 1140-1150

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.measurement.2012.01.026

关键词

Fractography; Image processing; Strain rate; Fractal; GLCM; Run length statistics; AISI 304LN steel

资金

  1. CSIR-CMERI, Durgapur, India

向作者/读者索取更多资源

Texture analyses methods incorporating three-dimensional fractal analysis using box-counting, grey level co-occurrence matrix (GLCM) technique and run length statistical (RLS) analysis have been carried out on tensile fractographs of AISI 304LN austenitic stainless steel for automatic characterization of fracture surfaces. The tensile tests have been carried out at five different strain rates (0.0001, 0.001, 0.01, 0.1 and 1 s(-1)). The three above mentioned methods, namely, fractal analysis using box-counting, GLCM and RLS analysis are compared in terms of accuracy and computational time and amongst them the run length analysis shows the best result. Eight texture descriptors from the three texture analyses could be extracted to correlate with the observed mechanical properties. Long run emphasis (IRE) and long run high grey level emphasis (LRHGE) depict better correlation among the eight descriptors in this investigation. The results also reveal systematic variation of image texture properties with strain rate. (C) 2012 Elsevier Ltd. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Materials Science, Multidisciplinary

Enigma of dislocation patterning due to slip in fatigued austenite

Arpan Das

INTERNATIONAL JOURNAL OF DAMAGE MECHANICS (2018)

Article Materials Science, Multidisciplinary

Calculation of ductility from pearlite microstructure

Arpan Das

MATERIALS SCIENCE AND TECHNOLOGY (2018)

Article Materials Science, Multidisciplinary

Effect of Stress State on Fracture Features

Arpan Das

METALLURGICAL AND MATERIALS TRANSACTIONS A-PHYSICAL METALLURGY AND MATERIALS SCIENCE (2018)

Article Materials Science, Multidisciplinary

Fracture mechanisms of spinodal alloys

Arpan Das, Chandra Bhanu Basak

PHILOSOPHICAL MAGAZINE (2018)

Review Materials Science, Multidisciplinary

Cyclic plasticity induced transformation of austenitic stainless steels

Arpan Das

MATERIALS CHARACTERIZATION (2019)

Review Computer Science, Interdisciplinary Applications

Stress/Strain Induced Void?

Arpan Das

Summary: Research on fracture micro mechanisms of ductile porous solids has been conducted worldwide for the past 60 years, with a focus on various experiments, theories, thermodynamics, and computer models. The complex interactions between engineering/metallurgical variables significantly influence void volume fraction accumulation during tensile deformation in ductile materials. While the role of micro void nucleation and growth in ductile fracture is established, certain micro mechanisms governing this process remain unclear, such as micro void coalescence.

ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING (2021)

Review Computer Science, Interdisciplinary Applications

Tackling Flow Stress of Zirconium Alloys

Arpan Das

Summary: A neural network model has been established to predict the flow stress during hot deformation of various zirconium alloys. The model performs well and accurately predicts experimental data. Analysis shows that neural computation is an effective tool for modeling the complex behavior of flow stress in different zirconium alloys.

ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING (2021)

Article Metallurgy & Metallurgical Engineering

Impact Fracture Pattern of Martensite

Arpan Das

Summary: This article focuses on the quantification and analysis of two-dimensional fracture features of low-carbon martensitic steel generated through temperature variation during dynamic impact experiments. The changes in microstructural states and corresponding impact responses of the steel as a function of test temperature have been quantified and compared. Image texture analysis has also been performed to understand the deformation and fracture energy of the steel during dynamic impact loading in relation to temperature.

METALLOGRAPHY MICROSTRUCTURE AND ANALYSIS (2022)

Article Materials Science, Multidisciplinary

Tessellated dimple geometry of high entropy alloy

Arpan Das

Summary: This article characterizes and analyzes the dimple geometry on the tensile fracture surfaces of a HfNbTaTiZr refractory high entropy alloy with different matrix microstructures. The study quantifies the changes in fracture complexions caused by different microstructural states and correlates them with the tensile responses of the alloy. This interpretation enables the quantitative use of fracture surface morphology and image texture.

MATERIALS CHEMISTRY AND PHYSICS (2022)

Article Nanoscience & Nanotechnology

Fractal-property correlation of hierarchical 3D nanolayered ?/?-Zr networks

Arpan Das

Summary: The fractal dimension of a novel flaky microstructure composed of crystals with hierarchical 3D nanolayered alpha/13-Zr networks in Zr-2.5Nb alloy was measured and correlated with its mechanical properties as a function of annealing temperature. Image texture analysis was performed to understand the stored-energy and thermal stability of these networks, revealing their invasive fractal character and chaos.

SCRIPTA MATERIALIA (2022)

Article Materials Science, Multidisciplinary

Effect of phase interfaces to dimple pattern

Arpan Das

Summary: Research reveals that the 2D-fractal dimensions of B2-phase in high-specific-strength-steel are correlated with the fractal-dimensions of dimples formed after tensile deformation and fracture. This correlation depends on the strain-rate and is independent of the initial inclusion and second-phase volumes. The average dimple-size is inversely correlated to strength and toughness properties, but positively correlated to uniform-ductility with strain-rate.

MATERIALS LETTERS (2023)

Article Materials Science, Multidisciplinary

Ultrasonic-Assisted Fracture Appearance of Titanium

Arpan Das

Summary: This study quantifies and assesses the two-dimensional ductile dimple geometry of Ti-6Al-4V alloy generated through different ultrasonic vibration powers during tensile experiments. The change in microstructural states and their corresponding mechanical responses were extensively compared and interpreted. The results indicate that the ultrasonic vibration significantly affects the tensile responses and fracture appearances of the alloy.

JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE (2023)

Article Construction & Building Technology

Creep Fracture Complexions

Arpan Das

Summary: Fracture is the separation of an object into different pieces under external stress, and the fracture surface reflects the deformation history of the material. In this study, two-dimensional ductile fracture characteristics were quantitatively measured on published creep-ruptured fractographs of a ferritic steel with different dimensions. The statistical distribution of diverse-sized dimples on the fracture surfaces was analyzed to understand the nature of disparity in creep responses of the steel. The research concludes that the creep properties/life of a ferritic steel can be reasonably deduced from the quantification of systematic crept fractographs when the material microstructure is known.

JOURNAL OF MATERIALS IN CIVIL ENGINEERING (2023)

Article Materials Science, Multidisciplinary

Fractal fatigue crack

Arpan Das

Summary: The fractal dimensions of material defects growing during fatigue process have been assessed experimentally in three different Zr-Nb alloys. The relationship between these fractal dimensions and the corresponding low cycle fatigue responses has been revealed. The invasive fractal character and chaos of crack/striations' islands and tearing ridge network morphologies after fatigue-fracture have been convincingly revealed.

PHILOSOPHICAL MAGAZINE (2023)

Article Metallurgy & Metallurgical Engineering

Effect of Cooling Rate on the Microstructure of a Pressure Vessel Steel

Arpan Das, Saurav Sunil, Rajeev Kapoor

METALLOGRAPHY MICROSTRUCTURE AND ANALYSIS (2019)

Article Engineering, Multidisciplinary

Non-contact method of thickness measurement for thin-walled rotary shell parts based on chromatic confocal sensor

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.

MEASUREMENT (2024)

Article Engineering, Multidisciplinary

Refractive index sensing using MXene mediated surface plasmon resonance sensor in visible to near infrared regime

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.

MEASUREMENT (2024)

Article Engineering, Multidisciplinary

Performances evaluation and characterization of a novel design of capacitive sensors for in-flight oil-level monitoring aboard helicopters

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.

MEASUREMENT (2024)

Article Engineering, Multidisciplinary

An effective monitoring method of dynamic compaction construction quality based on time series modeling

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.

MEASUREMENT (2024)

Article Engineering, Multidisciplinary

Automatic detection and pixel-level quantification of surface microcracks in ceramics grinding: An exploration with Mask R-CNN and TransUNet

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.

MEASUREMENT (2024)

Review Engineering, Multidisciplinary

A review of UAV integration in forensic civil engineering: From sensor technologies to geotechnical, structural and water infrastructure applications

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.

MEASUREMENT (2024)

Article Engineering, Multidisciplinary

Comparing Mobile and Aerial Laser Scanner point cloud data sets for automating the detection and delimitation procedure of safety-critical near-road slopes

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.

MEASUREMENT (2024)

Article Engineering, Multidisciplinary

Utilizing gammatone filter coefficient to improve human mouth-click signal detection using a multi-phase correlation process

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.

MEASUREMENT (2024)

Article Engineering, Multidisciplinary

Magnetic noise analysis for small magnetically shielded room in different environmental magnetic fields

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.

MEASUREMENT (2024)

Review Engineering, Multidisciplinary

Advancements in optical fiber sensors for in vivo applications - A review of sensors tested on living organisms

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.

MEASUREMENT (2024)

Article Engineering, Multidisciplinary

Method for three-dimensional reconstruction of dynamic stereo vision based on line structured light using global optimization

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.

MEASUREMENT (2024)

Article Engineering, Multidisciplinary

Improved multi-order Vold-Kalman filter for order tracking analysis using split cosine and sine terms

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.

MEASUREMENT (2024)

Article Engineering, Multidisciplinary

Balanced multi-scale target score network for ceramic tile surface defect detection

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.

MEASUREMENT (2024)

Article Engineering, Multidisciplinary

Measurement and characterization of aging-induced gradient properties inside asphalt mixture by composite specimen method

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.

MEASUREMENT (2024)

Article Engineering, Multidisciplinary

Enhanced precise orbit determination for GPS and BDS-2/3 with real LEO onboard and ground observations

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.

MEASUREMENT (2024)