Characteristic of Acoustic Emission Signal from Stress Corrosion Cracking in Low-Carbon Nitrogen-Enhanced Stainless Steel

doi:10.18494/sam.2017.1604

Cited by 3 publications

(2 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Indeed, comparing the information summarized in Table 2, the wavelet technique is the most common post-processing choice to discriminate AE events. In fact, this investigation strategy was proposed also [94,115,118,124,128,135] in order to assess competing SCC phenomena evolving from metal dissolution and pitting toward crack activation and propagation up to plastic deformation and sample fracture.…”

Section: Summarizing Remarksmentioning

confidence: 99%

A Review on the Applications of Acoustic Emission Technique in the Study of Stress Corrosion Cracking

Calabrese

Proverbio

2020

CMD

View full text Add to dashboard Cite

The complex nature of the damage evolution in stress corrosion cracking (SCC) leads to explore for new investigation technologies in order to better identify the mechanisms that supervise the initiation and evolution of the damage as well to provide an improvement of knowledge on this critical localized corrosion form during time. Research activities concerning the use of acoustic emission (AE) technique to assess SCC has acquiring considerably relevance in recent decades. The non-invasiveness and the possibility to provide a continuous in situ monitoring of structures and components make this non-destructive technique clearly promising in the field of structural health monitoring. In this concern, this paper aims to be a focused overview on the evaluation of SCC phenomena by AE technique. The main topic of this review is centered on the approaches that can be used in elaborating AE data to better discriminate the mechanisms that contribute to damage propagation in SCC conditions. Based on available literature, investigation approaches assessing AE waveform parameters were classified, evidencing, furthermore, the identified mechanisms that synergistically take place during the material degradation. Eventually, a brief summary and a future trend evaluation was also reported.

show abstract

Section: Summarizing Remarksmentioning

confidence: 99%

A Review on the Applications of Acoustic Emission Technique in the Study of Stress Corrosion Cracking

Calabrese

Proverbio

2020

CMD

View full text Add to dashboard Cite

show abstract

“…Aguiar et al (9) used neural networks to predict the surface roughness of ground workpieces on the basis of the analysis of output variables such as AE signals and cutting power. Li et al (10) established a simplified fracture propagation model of low-carbon nitrogen-enhanced (316LN) stainless steel. Besides, they also analyzed the inner connection between the energy release rate of the AE source and the morphological aspect of crack formation.…”

Section: Introductionmentioning

confidence: 99%

Acoustic Emission Monitoring System for Hard Polishing of Sapphire Wafer

Liu¹,

Chen²,

Lin³

2019

Sensors and Materials

View full text Add to dashboard Cite

In this study, an acoustic emission (AE) sensor is used to monitor the hard polishing process of a sapphire wafer. Since the AE sensor is very sensitive, a specially designed polishing head is used such that the AE sensor can be placed as close to the polishing area as possible. Then, hard polishing experiments are conducted to investigate the effects of hard polishing processing factors including pressure and rotational speed on the material removal rate (MRR) and root mean square (RMS) value of AE signals. According to the results, it is shown that the RMS value of AE signals strongly correlates with the MRR of the processes under various polishing conditions. On the basis of the experimental results, a mathematical model of MRR is developed. The coefficient of determination (R 2) of the model is about 99%, the corrected coefficient of determination (2 cor R) is about 95%, and the prediction error is less than 12% in all cases studied. The results indicate that the AE sensor is a potential tool for monitoring the polishing process.

show abstract

Detection of Stress Corrosion Cracking in SS304 under Calcium Silicate Thermal Insulation Using Acoustic Emission Technique

Nuthalapati,

Kee,

Ismail

et al. 2024

MSF

View full text Add to dashboard Cite

Despite its remarkable structural strength, austenitic stainless steels such as SS304 are susceptible to stress corrosion cracking (SCC) under thermal insulation due to the synergism of cyclic loading and chloride-containing environments. This study aims to detect SCC for insulated SS304 samples using the acoustic emission technique (AET) as monitoring tool to characterize the various stages of SCC damage mechanism. As-received (AR) and sensitized (SEN) SS304 samples were prepared as per ASTM G30 and experimented with soluble chloride drip test under calcium silicate thermal insulation following ASTM C692. Both AR and SEN samples revealed SCC behavior correlated with measured acoustic signals. AR samples exhibited a single crack with low energetic signals, whereas SEN showed multiple cracks with higher energetic signal events. The difference can be attributed to microstructure change by heat sensitization and the enhancement of the corrosion environment under calcium silicate insulation when wetted by salt solution. The acoustic emission (AE) parameters were characterized and correlated with different stages of SCC phenomena, showing that AET is useful for predicting SCC to avoid catastrophic failures in industries.

show abstract

Characteristic of Acoustic Emission Signal from Stress Corrosion Cracking in Low-Carbon Nitrogen-Enhanced Stainless Steel

Cited by 3 publications

References 28 publications

A Review on the Applications of Acoustic Emission Technique in the Study of Stress Corrosion Cracking

A Review on the Applications of Acoustic Emission Technique in the Study of Stress Corrosion Cracking

Acoustic Emission Monitoring System for Hard Polishing of Sapphire Wafer

Detection of Stress Corrosion Cracking in SS304 under Calcium Silicate Thermal Insulation Using Acoustic Emission Technique

Contact Info

Product

Resources

About