Acoustic Emission Detection during Welding Residual Stresses Release in 2.25Cr1Mo0.25V Steel Welds

Chai, Mengyu; Qin, Mu; Zheng, Yao-Ting; Hou, Xinglong; Zhang, Zaoxiao; Cheng, Guangxu; Duan, Qing

doi:10.1016/j.matpr.2018.02.016

Cited by 6 publications

(4 citation statements)

References 17 publications

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“…Nowadays, AE 136 becomes a very accurate and efficient method for fault, leaks and fatigue detection and monitoring techniques in materials 137,138 and structural analysis. 139 That include, concrete, 140,141 plastics, 142–144 polymers, 145–147 ceramics, 148–150 pipelines, 151–153 pressure vessels, 154,155 storage tanks, 156–159 bridges, 160–162 aircraft, 163,164 bucket trucks, 165 wood, 166–168 fiberglass, 169–172 composites, 173–175 welding, 176–178 , tubes, 179 aerospace structures 180–182 and finally for military applications. 183–185 Figure 2 illustrates AE instrumentation chain.…”

Section: General Background Of Ae Analysismentioning

confidence: 99%

Sounds and acoustic emission-based early fault diagnosis of induction motor: A review study

AlShorman

Alkahatni

Masadeh

et al. 2021

Advances in Mechanical Engineering

126

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Nowadays, condition-based maintenance (CBM) and fault diagnosis (FD) of rotating machinery (RM) has a vital role in the modern industrial world. However, the remaining useful life (RUL) of machinery is crucial for continuous monitoring and timely maintenance. Moreover, reduced maintenance costs, enhanced safety, efficiency, reliability, and availability are the main important industrial issues to maintain valuable and high-cost machinery. Undoubtedly, induction motor (IM) is considered to be a pivotal component in industrial machines. Recently, acoustic emission (AE) becomes a very accurate and efficient method for fault, leaks and fatigue detection and monitoring techniques. Moreover, CM and FD based on the AE of IM have been growing over recent years. The proposed research study aims to review condition monitoring (CM) and fault diagnosis (FD) studies based on sound and AE for four types of faults: bearings, rotor, stator, and compound. The study also points out the advantages and limitations of using sound and AE analysis in CM and FD. Existing public datasets for AE based analysis for CM and FD of IM are also mentioned. Finally, challenges facing AE based CM and FD for RM, especially for IM, and possible future works are addressed in this study.

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Section: General Background Of Ae Analysismentioning

confidence: 99%

Sounds and acoustic emission-based early fault diagnosis of induction motor: A review study

AlShorman

Alkahatni

Masadeh

et al. 2021

Advances in Mechanical Engineering

126

View full text Add to dashboard Cite

show abstract

“…In [20], the authors studied martensitic transformations in steel with an austenitic structure, AISI 304. The influence of microstructure parameters of the parent metal and the weld metal was analyzed in [21] using the example of low-alloy pearlitic steel. The authors investigated the impact of the grain size, structural composition and the presence of non-metallic inclusions on the AE parameters and mechanical properties of the welded joint.…”

Section: Introductionmentioning

confidence: 99%

Assessment of the Structural State of Dissimilar Welded Joints by the Acoustic Emission Method

et al. 2022

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In this study, we investigated defect detection in dissimilar welded joints by the acoustic emission (AE) method. The study objects were carbide and decarburized interlayers, which are formed at the fusion boundary between austenitic and pearlitic steels. Diffusion interlayers, as a structural defect, usually have microscopic dimensions and cannot be detected using conventional non-destructive testing (NDT) methods. In this regard, the AE method is a promising approach to diagnose metal objects with a complex structure and to detect microscopic defects. In this paper, the AE signatures obtained from testing defect-free specimens and specimens with diffusion interlayers are analyzed. We found that the AE signature for defective and defect-free welded joints has significant differences, which makes it possible to identify descriptors corresponding to the presence of diffusion interlayers in dissimilar welded joints.

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“…Due to its sensitivity to microstructure parameters, the AE method of application makes it possible to detect violations of the structural composition in the material [17][18][19]. In a number of experimental research studies [20][21][22][23][24][25], it was found that the AE method If such dissimilar welded joints are operated for a long time at high temperatures, the diffusion processes will proceed intensively, and as a result the interlayers will increase in size. The presence of such interlayers negatively affects the mechanical properties of the welded joint [7].…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Features of Acoustic Emission in Tensile Testing of Dissimilar Welded Joints of Pearlitic and Austenitic Steels

et al. 2021

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This paper presents a study of acoustic emission (AE) during the deformation of dissimilar welded joints of austenitic steel to pearlitic steel. One of the specific problems in these welded joints is the presence of decarburized and carbide diffusion interlayers, which intensively increase in width during long-term high-temperature operation. The presence of wide interlayers negatively affects the mechanical properties of welded joints. Moreover, welded defects are difficult to diagnose in welded joints containing interlayers: due to the high structural heterogeneity, interlayers create structural noises that can hinder the detection of defects such as cracks, pores, or a lack of penetration. The AE method may become a complex decision for diagnosing dissimilar welded joints due to applicability to the testing of heterogenic materials with a complex microstructure. Specimens cut from dissimilar welded joints of austenitic steel to pearlitic steel were tested by tension to rupture, with parallel AE data registration. According to the research results, the characteristic features of the AE were revealed for specimens containing defects in the form of lack of penetration as well as for specimens with diffusion interlayers. The results obtained show that the AE method can be used to test both typical welding defects and diffusion interlayers in welded joints of steels of different structural classes.

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Acoustic Emission Detection during Welding Residual Stresses Release in 2.25Cr1Mo0.25V Steel Welds

Cited by 6 publications

References 17 publications

Sounds and acoustic emission-based early fault diagnosis of induction motor: A review study

Sounds and acoustic emission-based early fault diagnosis of induction motor: A review study

Assessment of the Structural State of Dissimilar Welded Joints by the Acoustic Emission Method

Features of Acoustic Emission in Tensile Testing of Dissimilar Welded Joints of Pearlitic and Austenitic Steels

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