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Journal Articles

Magnetic Barkhausen Noise Technique for Fatigue Detection and Classification in Martensitic Stainless-Steel

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Bharath Basti Shenoy, Zi Li, Lalita Udpa, Satish Udpa, Yiming Deng, Thiago Seuaciuc-Osorio
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research Papers
ASME J Nondestructive Evaluation. November 2022, 5(4): 041010.
Paper No: NDE-21-1044
https://doi.org/10.1115/1.4055992
Published Online: November 8, 2022
View Articletitled, Magnetic Barkhausen Noise Technique for Fatigue Detection and Classification in Martensitic Stainless-Steel
Open the PDF for Magnetic Barkhausen Noise Technique for Fatigue Detection and Classification in Martensitic Stainless-Steel in another window
Topics: Fatigue, Noise (Sound), Stainless steel, Feature extraction, Nondestructive evaluation, Signals
Journal Articles

Diagnosis and Prognosis of Fatigue Damage in Adhesively Bonded Joints Using Ultrasound Non-Destructive Evaluation

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Rajendra P. Palanisamy, Portia Banerjee, Mahmoodul Haq, Yiming Deng
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research Papers
ASME J Nondestructive Evaluation. November 2022, 5(4): 041008.
Paper No: NDE-22-1016
https://doi.org/10.1115/1.4055475
Published Online: October 7, 2022
View Articletitled, Diagnosis and Prognosis of Fatigue Damage in Adhesively Bonded Joints Using Ultrasound Non-Destructive Evaluation
Open the PDF for Diagnosis and Prognosis of Fatigue Damage in Adhesively Bonded Joints Using Ultrasound Non-Destructive Evaluation in another window
Topics: Adhesives, Damage, Fatigue, Fatigue damage, Modal analysis, Waves, Acoustics, Cycles, Stress, Nondestructive evaluation
Proceedings Papers

Numerical Modal Sensitivity Analysis for Fatigue Damage Accumulation in Adhesively Bonded Lap-Joint

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Rajendra Prasath Palanisamy, Portia Banerjee, Mahmood Haq, Yiming Deng
Proc. ASME. IMECE2021, Volume 1: Acoustics, Vibration, and Phononics, V001T01A014, November 1–5, 2021
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2021-73587
https://doi.org/10.1115/IMECE2021-73587
View Paper titled, Numerical Modal Sensitivity Analysis for Fatigue Damage Accumulation in Adhesively Bonded Lap-Joint
Open the PDF for Numerical Modal Sensitivity Analysis for Fatigue Damage Accumulation in Adhesively Bonded Lap-Joint in another window
Topics: Fatigue damage, Sensitivity analysis, Fracture (Materials), Damage, Crack propagation, Failure, Waves, Adhesives, Crack detection, Engineering simulation
Proceedings Papers

Fatigue Detection and Estimation in Martensitic Stainless-Steel Using Magnetic Nondestructive Evaluation Technique

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Bharath Basti Shenoy, Zi Li, Lalita Udpa, Satish Udpa, Yiming Deng, Thiago Seuaciuc-Osorio
Proc. ASME. QNDE2021, 2021 48th Annual Review of Progress in Quantitative Nondestructive Evaluation, V001T14A001, July 28–30, 2021
Publisher: American Society of Mechanical Engineers
Paper No: QNDE2021-74657
https://doi.org/10.1115/QNDE2021-74657
View Paper titled, Fatigue Detection and Estimation in Martensitic Stainless-Steel Using Magnetic Nondestructive Evaluation Technique
Open the PDF for Fatigue Detection and Estimation in Martensitic Stainless-Steel Using Magnetic Nondestructive Evaluation Technique in another window
Topics: Fatigue, Fatigue life, Noise (Sound), Nondestructive evaluation, Stainless steel
Journal Articles

A Kriging-Based Magnetic Flux Leakage Method for Fast Defect Detection in Massive Pipelines

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Subrata Mukherjee, Xuhui Huang, Lalita Udpa, Yiming Deng
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research Papers
ASME J Nondestructive Evaluation. February 2022, 5(1): 011002.
Paper No: NDE-20-1096
https://doi.org/10.1115/1.4051177
Published Online: June 7, 2021
View Articletitled, A Kriging-Based Magnetic Flux Leakage Method for Fast Defect Detection in Massive Pipelines
Open the PDF for A Kriging-Based Magnetic Flux Leakage Method for Fast Defect Detection in Massive Pipelines in another window
Topics: Flaw detection, Leakage, Magnetic flux, Pipelines, Nondestructive evaluation, Simulation, Pipes
Journal Articles

Magnetic Barkhausen Noise Technique for Early-Stage Fatigue Prediction in Martensitic Stainless-Steel Samples

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Zi Li, Bharath Basti Shenoy, Lalita Udpa, Satish Udpa, Yiming Deng
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research Papers
ASME J Nondestructive Evaluation. November 2021, 4(4): 041004.
Paper No: NDE-20-1082
https://doi.org/10.1115/1.4050842
Published Online: April 28, 2021
View Articletitled, Magnetic Barkhausen Noise Technique for Early-Stage Fatigue Prediction in Martensitic Stainless-Steel Samples
Open the PDF for Magnetic Barkhausen Noise Technique for Early-Stage Fatigue Prediction in Martensitic Stainless-Steel Samples in another window
Topics: Fatigue, Noise (Sound), Artificial neural networks, Principal component analysis, Uncertainty, Stainless steel, Signals, Fatigue life
Proceedings Papers

A Kriging Based Fast and Efficient Method for Defect Detection in Massive Pipelines Using Magnetic Flux Leakages

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Subrata Mukherjee, Xuhui Huang, Lalita Udpa, Yiming Deng
Proc. ASME. IMECE2020, Volume 14: Safety Engineering, Risk, and Reliability Analysis, V014T14A010, November 16–19, 2020
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2020-24421
https://doi.org/10.1115/IMECE2020-24421
View Paper titled, A Kriging Based Fast and Efficient Method for Defect Detection in Massive Pipelines Using Magnetic Flux Leakages
Open the PDF for A Kriging Based Fast and Efficient Method for Defect Detection in Massive Pipelines Using Magnetic Flux Leakages in another window
Topics: Flaw detection, Gages, Inspection, Leakage, Magnetic flux, Pipelines
Journal Articles

Model-Based Study of a Metamaterial Lens for Nondestructive Evaluation of Composites

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Srijan Datta, Xiaodong Shi, Saptarshi Mukherjee, Yiming Deng, Lalita Udpa
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research Papers
ASME J Nondestructive Evaluation. November 2020, 3(4): 041001.
Paper No: NDE-19-1059
https://doi.org/10.1115/1.4047027
Published Online: May 15, 2020
View Articletitled, Model-Based Study of a Metamaterial Lens for Nondestructive Evaluation of Composites
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Topics: Composite materials, Design, Lenses (Optics), Metamaterials, Nondestructive evaluation, Simulation, Microwaves