Detection of bond defects in cold roll bonded Al/Al-Sn/Al/steel sheets using Lamb type guided wave EMATs

Philipp J Tallafuss, Andrzej Rosochowski, Sylvia Campbell, Antonio R Camacho

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

2 Citations (Scopus)

Abstract

Rayleigh-Lamb, ultrasonic, guided wave modes were used to detect delamination, embedded steel debris and a brittle intermetallic Al-Fe diffusion bond layer at the interface between clad Al and steel, which were bonded together in a cold roll bonding (CRB) process. Multi-layered samples were produced, with artificially implanted defects of different sizes between the clad Al and steel layer to determine the sensitivity of the guided wave modes to qualitatively indicate the occurrence of defects based on signal attenuation caused by defects. Electromagnetic acoustic transducers (EMATs) were used to generate and detect the guided waves in the pitch and catch technique. Signals were measured in the as rolled and post rolling annealed state to determine the influence of the altered material properties on attenuation and Signal-To-Noise Ratio (SNR). Results show very good sensitivity of the S0 wave mode for delamination and embedded steel debris detection and a relation between attenuation, defect type, size and annealing state. However, detection of the presence of a brittle intermetallic Al-Fe diffusion layer was not possible due to the strong sensitivity to the material properties and thicknesses of the clad Al and steel materials. Micro sections of all samples were examined to explain the observations. The results suggest a promising use of Rayleigh-Lamb guided wave modes for online detection of bond defects in serial production of Al-Sn alloy/steel bimetal strips.

LanguageEnglish
Title of host publication1st World Congress on Condition Monitoring 2017 (WCCM 2017)
Place of PublicationRed Hook, NY
Number of pages12
Publication statusPublished - 13 Jun 2017
Event1st World Congress on Condition Monitoring 2017, WCCM 2017 - London, United Kingdom
Duration: 13 Jun 201716 Jun 2017

Conference

Conference1st World Congress on Condition Monitoring 2017, WCCM 2017
CountryUnited Kingdom
CityLondon
Period13/06/1716/06/17

Fingerprint

Acoustic transducers
Guided electromagnetic wave propagation
Steel sheet
Defects
Steel
Delamination
Debris
Intermetallics
Materials properties
Roll bonding
Bimetals
Alloy steel
Surface waves
Signal to noise ratio
Ultrasonics
Annealing

Keywords

  • defects
  • Al-Fe
  • steel
  • Rayleigh-Lamb guided wave modes

Cite this

Tallafuss, P. J., Rosochowski, A., Campbell, S., & Camacho, A. R. (2017). Detection of bond defects in cold roll bonded Al/Al-Sn/Al/steel sheets using Lamb type guided wave EMATs. In 1st World Congress on Condition Monitoring 2017 (WCCM 2017) Red Hook, NY.
Tallafuss, Philipp J ; Rosochowski, Andrzej ; Campbell, Sylvia ; Camacho, Antonio R. / Detection of bond defects in cold roll bonded Al/Al-Sn/Al/steel sheets using Lamb type guided wave EMATs. 1st World Congress on Condition Monitoring 2017 (WCCM 2017). Red Hook, NY, 2017.
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abstract = "Rayleigh-Lamb, ultrasonic, guided wave modes were used to detect delamination, embedded steel debris and a brittle intermetallic Al-Fe diffusion bond layer at the interface between clad Al and steel, which were bonded together in a cold roll bonding (CRB) process. Multi-layered samples were produced, with artificially implanted defects of different sizes between the clad Al and steel layer to determine the sensitivity of the guided wave modes to qualitatively indicate the occurrence of defects based on signal attenuation caused by defects. Electromagnetic acoustic transducers (EMATs) were used to generate and detect the guided waves in the pitch and catch technique. Signals were measured in the as rolled and post rolling annealed state to determine the influence of the altered material properties on attenuation and Signal-To-Noise Ratio (SNR). Results show very good sensitivity of the S0 wave mode for delamination and embedded steel debris detection and a relation between attenuation, defect type, size and annealing state. However, detection of the presence of a brittle intermetallic Al-Fe diffusion layer was not possible due to the strong sensitivity to the material properties and thicknesses of the clad Al and steel materials. Micro sections of all samples were examined to explain the observations. The results suggest a promising use of Rayleigh-Lamb guided wave modes for online detection of bond defects in serial production of Al-Sn alloy/steel bimetal strips.",
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Tallafuss, PJ, Rosochowski, A, Campbell, S & Camacho, AR 2017, Detection of bond defects in cold roll bonded Al/Al-Sn/Al/steel sheets using Lamb type guided wave EMATs. in 1st World Congress on Condition Monitoring 2017 (WCCM 2017). Red Hook, NY, 1st World Congress on Condition Monitoring 2017, WCCM 2017, London, United Kingdom, 13/06/17.

Detection of bond defects in cold roll bonded Al/Al-Sn/Al/steel sheets using Lamb type guided wave EMATs. / Tallafuss, Philipp J; Rosochowski, Andrzej; Campbell, Sylvia; Camacho, Antonio R.

1st World Congress on Condition Monitoring 2017 (WCCM 2017). Red Hook, NY, 2017.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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T1 - Detection of bond defects in cold roll bonded Al/Al-Sn/Al/steel sheets using Lamb type guided wave EMATs

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AU - Rosochowski, Andrzej

AU - Campbell, Sylvia

AU - Camacho, Antonio R

PY - 2017/6/13

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N2 - Rayleigh-Lamb, ultrasonic, guided wave modes were used to detect delamination, embedded steel debris and a brittle intermetallic Al-Fe diffusion bond layer at the interface between clad Al and steel, which were bonded together in a cold roll bonding (CRB) process. Multi-layered samples were produced, with artificially implanted defects of different sizes between the clad Al and steel layer to determine the sensitivity of the guided wave modes to qualitatively indicate the occurrence of defects based on signal attenuation caused by defects. Electromagnetic acoustic transducers (EMATs) were used to generate and detect the guided waves in the pitch and catch technique. Signals were measured in the as rolled and post rolling annealed state to determine the influence of the altered material properties on attenuation and Signal-To-Noise Ratio (SNR). Results show very good sensitivity of the S0 wave mode for delamination and embedded steel debris detection and a relation between attenuation, defect type, size and annealing state. However, detection of the presence of a brittle intermetallic Al-Fe diffusion layer was not possible due to the strong sensitivity to the material properties and thicknesses of the clad Al and steel materials. Micro sections of all samples were examined to explain the observations. The results suggest a promising use of Rayleigh-Lamb guided wave modes for online detection of bond defects in serial production of Al-Sn alloy/steel bimetal strips.

AB - Rayleigh-Lamb, ultrasonic, guided wave modes were used to detect delamination, embedded steel debris and a brittle intermetallic Al-Fe diffusion bond layer at the interface between clad Al and steel, which were bonded together in a cold roll bonding (CRB) process. Multi-layered samples were produced, with artificially implanted defects of different sizes between the clad Al and steel layer to determine the sensitivity of the guided wave modes to qualitatively indicate the occurrence of defects based on signal attenuation caused by defects. Electromagnetic acoustic transducers (EMATs) were used to generate and detect the guided waves in the pitch and catch technique. Signals were measured in the as rolled and post rolling annealed state to determine the influence of the altered material properties on attenuation and Signal-To-Noise Ratio (SNR). Results show very good sensitivity of the S0 wave mode for delamination and embedded steel debris detection and a relation between attenuation, defect type, size and annealing state. However, detection of the presence of a brittle intermetallic Al-Fe diffusion layer was not possible due to the strong sensitivity to the material properties and thicknesses of the clad Al and steel materials. Micro sections of all samples were examined to explain the observations. The results suggest a promising use of Rayleigh-Lamb guided wave modes for online detection of bond defects in serial production of Al-Sn alloy/steel bimetal strips.

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Tallafuss PJ, Rosochowski A, Campbell S, Camacho AR. Detection of bond defects in cold roll bonded Al/Al-Sn/Al/steel sheets using Lamb type guided wave EMATs. In 1st World Congress on Condition Monitoring 2017 (WCCM 2017). Red Hook, NY. 2017