Detection and Identification of Different Metal Materials with Same Damage of Stretching Based on Acoustic Emission in Audible Domain
Analysis of metallic materials damage signal is effective for studying strength failure.Domestic and foreignscholars do much workbased on acoustic emission due to its real-time detection. Most researches are in ultrasonic region, few in audible domain. In this paper, taking low-carbon steel and cast...
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| Veröffentlicht in: | Applied Mechanics and Materials 2013-10, Vol.419, p.321-327 |
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| creator | Lu, Yun Tao Xu, Qing Deng, Zong Bai Zhang, Can Yuan, Ya |
| description | Analysis of metallic materials damage signal is effective for studying strength failure.Domestic and foreignscholars do much workbased on acoustic emission due to its real-time detection. Most researches are in ultrasonic region, few in audible domain. In this paper, taking low-carbon steel and cast iron as an example, we collected acoustic emission signals during tensile tests. Thenestablishassociated diagrams of processed signals, with multivariable parameter analysis used for eigenvalue processing. After normalizing data,wefigured out ranges of synthetic parameters. The experiment and calculation results show that eigenvalue of every low-carbon steel in one certain event is greater than cast iron’s. As a result,synthetic parameters canmake significant effect in detecting and identifying different metal materials |
| doi_str_mv | 10.4028/www.scientific.net/AMM.419.321 |
| format | Article |
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As a result,synthetic parameters canmake significant effect in detecting and identifying different metal materials</description><subject>Acoustic emission testing</subject><subject>Acoustics</subject><subject>Cast iron</subject><subject>Damage</subject><subject>Domains</subject><subject>Eigenvalues</subject><subject>Emission analysis</subject><subject>Experiments</subject><subject>Identification</subject><subject>Laboratories</subject><subject>Low carbon steel</subject><subject>Low carbon steels</subject><subject>Mechanics</subject><subject>Noise</subject><subject>Normalizing</subject><subject>Parameter identification</subject><subject>Signal processing</subject><subject>Software</subject><subject>Tensile tests</subject><subject>Ultrasonic imaging</subject><subject>Ultrasonic testing</subject><issn>1660-9336</issn><issn>1662-7482</issn><issn>1662-7482</issn><isbn>9783037858714</isbn><isbn>3037858710</isbn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNqNkctOGzEUhq3SSgXKO1iq1N0MvsWXDSIQbhJRF7Rry-M5JkaZGWo7iniAvncdggTLro70n9_fkfwh9IOSVhCmT7fbbZt9hLHEEH07QjmdL5etoKbljH5Ch1RK1iih2QE6MUpzwpWeaUXF59cdaQzn8is6yvmJECmo0Ifo7wIK-BKnEbuxx3f9G969RlPAixgCpJriJRS3xktXIEW3zngbywo_uAHwwg3uEXbth5Kg-FUcH_GFy9DjCpn7aZNL9PhqiDnvsLGGmz526_p0Glwcv6EvoSLh5G0eo9_XV78ub5v7nzd3l_P7xjNKaDMTput1J0SQoFkILhDKnJgRIhg3hrGgaCc5uNA7xXopjVagvOGdJJ0Phh-j73vuc5r-bCAX-zRt0lhPWqoNVZwZQmvrbN_yaco5QbDPKQ4uvVhK7E6FrSrsuwpbVdiqwlYVtqqogPM9oCQ35vq_qw93_g_xD-25mVI</recordid><startdate>20131001</startdate><enddate>20131001</enddate><creator>Lu, Yun Tao</creator><creator>Xu, Qing</creator><creator>Deng, Zong Bai</creator><creator>Zhang, Can</creator><creator>Yuan, Ya</creator><general>Trans Tech Publications Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>7TB</scope><scope>8BQ</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BFMQW</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>KB.</scope><scope>KR7</scope><scope>L6V</scope><scope>M7S</scope><scope>PDBOC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>20131001</creationdate><title>Detection and Identification of Different Metal Materials with Same Damage of Stretching Based on Acoustic Emission in Audible Domain</title><author>Lu, Yun Tao ; 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Most researches are in ultrasonic region, few in audible domain. In this paper, taking low-carbon steel and cast iron as an example, we collected acoustic emission signals during tensile tests. Thenestablishassociated diagrams of processed signals, with multivariable parameter analysis used for eigenvalue processing. After normalizing data,wefigured out ranges of synthetic parameters. The experiment and calculation results show that eigenvalue of every low-carbon steel in one certain event is greater than cast iron’s. As a result,synthetic parameters canmake significant effect in detecting and identifying different metal materials</abstract><cop>Zurich</cop><pub>Trans Tech Publications Ltd</pub><doi>10.4028/www.scientific.net/AMM.419.321</doi><tpages>7</tpages></addata></record> |
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| subjects | Acoustic emission testing Acoustics Cast iron Damage Domains Eigenvalues Emission analysis Experiments Identification Laboratories Low carbon steel Low carbon steels Mechanics Noise Normalizing Parameter identification Signal processing Software Tensile tests Ultrasonic imaging Ultrasonic testing |
| title | Detection and Identification of Different Metal Materials with Same Damage of Stretching Based on Acoustic Emission in Audible Domain |
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