Intelligent system for automatic control of the process of filling the mold
This paper shows fuzzy and neuro-fuzzy intelligent systems for automatic control of mold filling employed in casting plants. The concept of precision mold filling presupposes three key points in the process, i.e., precise pouring of the stream into the basin, maintaining constant level of molten met...
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| Veröffentlicht in: | International journal of advanced manufacturing technology 2017-05, Vol.90 (5-8), p.2223-2231 |
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| container_title | International journal of advanced manufacturing technology |
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| creator | Dučić, Nedeljko Milićević, Ivan Ćojbašić, Žarko Manasijević, Srećko Radiša, Radomir Slavković, Radomir Božić, Miloš |
| description | This paper shows fuzzy and neuro-fuzzy intelligent systems for automatic control of mold filling employed in casting plants. The concept of precision mold filling presupposes three key points in the process, i.e., precise pouring of the stream into the basin, maintaining constant level of molten metal in the basin, and finally, elimination of overflow of molten metal from the mold. The possibility of using fuzzy and neuro-fuzzy controls of mold-filling process was tested on a laboratory plant. Instead of molten metal, water was used, due to the approximate value of the Reynolds number of steel (1560–1600 °C) and water at room temperature. Fuzzy and neuro-fuzzy controls of casting process were tested through many experimental attempts which have confirmed the possibility of application of these methodologies in the control of gravity casting process. |
| doi_str_mv | 10.1007/s00170-016-9552-x |
| format | Article |
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The concept of precision mold filling presupposes three key points in the process, i.e., precise pouring of the stream into the basin, maintaining constant level of molten metal in the basin, and finally, elimination of overflow of molten metal from the mold. The possibility of using fuzzy and neuro-fuzzy controls of mold-filling process was tested on a laboratory plant. Instead of molten metal, water was used, due to the approximate value of the Reynolds number of steel (1560–1600 °C) and water at room temperature. 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The concept of precision mold filling presupposes three key points in the process, i.e., precise pouring of the stream into the basin, maintaining constant level of molten metal in the basin, and finally, elimination of overflow of molten metal from the mold. The possibility of using fuzzy and neuro-fuzzy controls of mold-filling process was tested on a laboratory plant. Instead of molten metal, water was used, due to the approximate value of the Reynolds number of steel (1560–1600 °C) and water at room temperature. Fuzzy and neuro-fuzzy controls of casting process were tested through many experimental attempts which have confirmed the possibility of application of these methodologies in the control of gravity casting process.</description><subject>Artificial neural networks</subject><subject>Automatic control</subject><subject>CAE) and Design</subject><subject>Casting</subject><subject>Computer-Aided Engineering (CAD</subject><subject>Engineering</subject><subject>Fluid flow</subject><subject>Fuzzy control</subject><subject>Fuzzy logic</subject><subject>Fuzzy systems</subject><subject>Industrial and Production Engineering</subject><subject>Intelligent systems</subject><subject>Mechanical Engineering</subject><subject>Media Management</subject><subject>Molds</subject><subject>Original Article</subject><subject>Permanent mold casting</subject><subject>Pouring</subject><subject>Reynolds number</subject><issn>0268-3768</issn><issn>1433-3015</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9kMtOwzAQRS0EEqXwAewisTb4EU-cJap4VFRiA2vLTcYlVRIX25XavychLNjAZkYzOvfO6BJyzdktZ6y4i4zxglHGgZZKCXo4ITOeS0kl4-qUzJgATWUB-pxcxLgdaOCgZ-Rl2Sds22aDfcriMSbsMudDZvfJdzY1VVb5PgXfZt5l6QOzXfAVxjiOrhmE_eZ73fm2viRnzrYRr376nLw_Prwtnunq9Wm5uF_RSuZ5ogpASBC5g1JXWDoJbI2CFYVi3CFnFrWCtayLukZrncNaKAQEVSirhEY5JzeT7_DL5x5jMlu_D_1w0ggBQpSgBPxHcV3mSo9loPhEVcHHGNCZXWg6G46GMzMma6ZkzRCYGZM1h0EjJk0c2H6D4Zfzn6IvqoV7aA</recordid><startdate>20170501</startdate><enddate>20170501</enddate><creator>Dučić, Nedeljko</creator><creator>Milićević, Ivan</creator><creator>Ćojbašić, Žarko</creator><creator>Manasijević, Srećko</creator><creator>Radiša, Radomir</creator><creator>Slavković, Radomir</creator><creator>Božić, Miloš</creator><general>Springer London</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>20170501</creationdate><title>Intelligent system for automatic control of the process of filling the mold</title><author>Dučić, Nedeljko ; 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| subjects | Artificial neural networks Automatic control CAE) and Design Casting Computer-Aided Engineering (CAD Engineering Fluid flow Fuzzy control Fuzzy logic Fuzzy systems Industrial and Production Engineering Intelligent systems Mechanical Engineering Media Management Molds Original Article Permanent mold casting Pouring Reynolds number |
| title | Intelligent system for automatic control of the process of filling the mold |
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