Article | Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016 | Recognizing Steel Plate Side Edge Shape automatically using Classification and Regression Models Linköping University Electronic Press Conference Proceedings
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Title:
Recognizing Steel Plate Side Edge Shape automatically using Classification and Regression Models
Author:
Pekka Siirtola: Biomimetics and Intelligent Systems Group, P.O. BOX 4500, FI-90014, University of Oulu, Oulu, Finland Satu Tamminen: Biomimetics and Intelligent Systems Group, P.O. BOX 4500, FI-90014, University of Oulu, Oulu, Finland Eija Ferreira: Biomimetics and Intelligent Systems Group, P.O. BOX 4500, FI-90014, University of Oulu, Oulu, Finland Henna Tiensuu: Biomimetics and Intelligent Systems Group, P.O. BOX 4500, FI-90014, University of Oulu, Oulu, Finland Elina Prokkola: SSAB Europe, Raahe plate mill, Finland Juha Röning: Biomimetics and Intelligent Systems Group, P.O. BOX 4500, FI-90014, University of Oulu, Oulu, Finland
DOI:
10.3384/ecp17142503
Download:
Full text (pdf)
Year:
2018
Conference:
Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016
Issue:
142
Article no.:
073
Pages:
503-510
No. of pages:
8
Publication type:
Abstract and Fulltext
Published:
2018-12-19
ISBN:
978-91-7685-399-3
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press, Linköpings universitet


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In the steel plate production process it is important to minimize the wastage piece produced when cutting a mother steel plate to the size ordered by a customer. In this study, we build classi?cation and regression models to recognize the steel plate side edge shape, if it is curved or not and the amount of curvature. This is done based on time series data collected at the manufacturing line. In addition, this information needs to be presented in a way that enables fast analysis and long-term statistical monitoring. It can then be used to tune the parameters of the manufacturing process so that optimal curvature can be found and the size of the wastage piece can be reduced. The results show that using the classi?cation and linear regression methods, the side edge shape can be recognized reliably and the amount of curvature can be estimated with high accuracy as well.

Keywords: steel manufacturing, classi?cation, regression, plate plan pattern control, plate side edge

Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016

Author:
Pekka Siirtola, Satu Tamminen, Eija Ferreira, Henna Tiensuu, Elina Prokkola, Juha Röning
Title:
Recognizing Steel Plate Side Edge Shape automatically using Classification and Regression Models
DOI:
http://dx.doi.org/10.3384/ecp17142503
References:
No references available

Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016

Author:
Pekka Siirtola, Satu Tamminen, Eija Ferreira, Henna Tiensuu, Elina Prokkola, Juha Röning
Title:
Recognizing Steel Plate Side Edge Shape automatically using Classification and Regression Models
DOI:
https://doi.org10.3384/ecp17142503
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Last updated: 2019-10-02