Measuring Method of Content of Retained Austenite in High Chromium Cast Iron Using Small Electromagnetism Sensor.
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- Furukawa Hiroto
- Graduate School of Engineering, Oita University
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- Gotoh Yuji
- Faculty of Engineering, Oita University
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- Sasaguri Nobuya
- Materials science and Metallurgical Engineering, Kurume National College of Technology
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- Matsubara Yasuhiro
- Kurume National College of Technology
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- Takahashi Norio
- Graduate School of Natural Science & Technology, Okayama University
Bibliographic Information
- Other Title
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- 小型電磁気センサによる高クロム鋳鉄中の残留オーステナイト量の測定法
- コガタデンジキ センサ ニ ヨル コウクロム チュウテツ チュウ ノ ザンリュウ オーステナイトリョウ ノ ソクテイホウ
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Abstract
Generally, reasonable amounts of austenite are retained in steels and cast irons containing alloying elements during the hardening process. It is very important to estimate the amount of retained austenite (Vγ) in alloyed cast iron, because the retained austenite leads to fracture or deformation of cast iron products during servicing. In the case of alloyed white cast iron, since the carbides coexist in the matrix, it is difficult to measure the Vγ precisely. It is known that the permeability and conductivity of the cast iron decrease proportionately to the amount of retained austenite because the retained austenite is nonmagnetic. Therefore, it may be possible to estimate Vγ in the cast iron by measuring the change in electromagnetic properties of the cast iron using electromagnetic nondestructive inspection method.<br> In this study, a small sensor which can nondestructively detect changes in magnetic properties of high chromium white cast iron was developed. Results of experiments conducted clarified that Vγ in the cast iron can be estimated by measuring the attenuation rate of magnetic flux density.
Journal
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- Journal of Japan Foundry Engineering Society
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Journal of Japan Foundry Engineering Society 84 (5), 265-270, 2012
Japan Foundry Engineering Society
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Keywords
Details 詳細情報について
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- CRID
- 1390282681487860480
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- NII Article ID
- 10030744934
- 40019326082
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- NII Book ID
- AN10514770
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- ISSN
- 21855374
- 13420429
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- NDL BIB ID
- 023780178
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed