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.
| Original language | English |
|---|---|
| Title of host publication | 1st World Congress on Condition Monitoring 2017 (WCCM 2017) |
| Place of Publication | Red Hook, NY |
| Number of pages | 12 |
| Publication status | Published - 13 Jun 2017 |
| Event | 1st World Congress on Condition Monitoring 2017, WCCM 2017 - London, United Kingdom Duration: 13 Jun 2017 → 16 Jun 2017 |
Conference
| Conference | 1st World Congress on Condition Monitoring 2017, WCCM 2017 |
|---|---|
| Country | United Kingdom |
| City | London |
| Period | 13/06/17 → 16/06/17 |
Fingerprint
Keywords
- defects
- Al-Fe
- steel
- Rayleigh-Lamb guided wave modes
Cite this
}
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 proceeding › Conference contribution book
TY - GEN
T1 - Detection of bond defects in cold roll bonded Al/Al-Sn/Al/steel sheets using Lamb type guided wave EMATs
AU - Tallafuss, Philipp J
AU - Rosochowski, Andrzej
AU - Campbell, Sylvia
AU - Camacho, Antonio R
PY - 2017/6/13
Y1 - 2017/6/13
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.
KW - defects
KW - Al-Fe
KW - steel
KW - Rayleigh-Lamb guided wave modes
UR - http://www.scopus.com/inward/record.url?scp=85029408253&partnerID=8YFLogxK
M3 - Conference contribution book
SN - 9781510844759
BT - 1st World Congress on Condition Monitoring 2017 (WCCM 2017)
CY - Red Hook, NY
ER -