Adaptive process control strategy for a two-step bending process

F.N. Dallinger, E.P. Roux, Gosse Tjipke Havinga, R. d'Ippolito, R. van Tijum, R. van Ravenswaaij, P. Hora, Antonius H. van den Boogaard

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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Abstract

A robust production is an important goal in sheet metal forming in order to make the process outcome insensitive to variations in input and process conditions. This would guarantee a minimum number of defects and reduced press downtime. However, for com-plex parts it is difficult to achieve robust settings. Parts without defects can only be real-ized if the process parameters are adapted to the changed conditions. In this paper, an approach for adaptive process control is presented, taking the uncertain-ties and tolerances of the process and material into consideration. The proposed control approach combines feedback and feed-forward control strategies. The most significant improvement is to incorporate feed-forward control with knowledge about the system (also known as predictive models). To create these models high fidelity numerical models have been created. Furthermore, a procedure is presented to update the coefficients of the predictive model to adapt it to the actual process state. To evaluate the control strategy prior to its implementation, a testing environment has been developed. Different test scenarios for common states of the process have been generated to evaluate the improvement of the proposed control strategy.
Original languageEnglish
Title of host publicationKES Transactions on Sustainable Design and Manufacturing
EditorsR. Setchi, R.J. Howlett, M. Naim, H. Seinz
Place of PublicationCardiff
PublisherFuture Technology Press, England, UK
Pages618-627
ISBN (Print)ISBN 978-0-9561516-4-3
Publication statusPublished - 28 Apr 2014
EventInternational Conference on Sustainable Design and Manufacturing, SDM 2014 - Cardiff, United Kingdom
Duration: 28 Apr 201430 Apr 2014

Publication series

Name1
PublisherFuture Technology Press, England, UK
Volume1

Conference

ConferenceInternational Conference on Sustainable Design and Manufacturing, SDM 2014
Abbreviated titleSDM
CountryUnited Kingdom
CityCardiff
Period28/04/1430/04/14

Fingerprint

Process control
Feedforward control
Defects
Metal forming
Sheet metal
Numerical models
Feedback
Testing

Keywords

  • METIS-307237
  • IR-93203

Cite this

Dallinger, F. N., Roux, E. P., Havinga, G. T., d'Ippolito, R., van Tijum, R., van Ravenswaaij, R., ... van den Boogaard, A. H. (2014). Adaptive process control strategy for a two-step bending process. In R. Setchi, R. J. Howlett, M. Naim, & H. Seinz (Eds.), KES Transactions on Sustainable Design and Manufacturing (pp. 618-627). (1; Vol. 1). Cardiff: Future Technology Press, England, UK.
Dallinger, F.N. ; Roux, E.P. ; Havinga, Gosse Tjipke ; d'Ippolito, R. ; van Tijum, R. ; van Ravenswaaij, R. ; Hora, P. ; van den Boogaard, Antonius H. / Adaptive process control strategy for a two-step bending process. KES Transactions on Sustainable Design and Manufacturing. editor / R. Setchi ; R.J. Howlett ; M. Naim ; H. Seinz. Cardiff : Future Technology Press, England, UK, 2014. pp. 618-627 (1).
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title = "Adaptive process control strategy for a two-step bending process",
abstract = "A robust production is an important goal in sheet metal forming in order to make the process outcome insensitive to variations in input and process conditions. This would guarantee a minimum number of defects and reduced press downtime. However, for com-plex parts it is difficult to achieve robust settings. Parts without defects can only be real-ized if the process parameters are adapted to the changed conditions. In this paper, an approach for adaptive process control is presented, taking the uncertain-ties and tolerances of the process and material into consideration. The proposed control approach combines feedback and feed-forward control strategies. The most significant improvement is to incorporate feed-forward control with knowledge about the system (also known as predictive models). To create these models high fidelity numerical models have been created. Furthermore, a procedure is presented to update the coefficients of the predictive model to adapt it to the actual process state. To evaluate the control strategy prior to its implementation, a testing environment has been developed. Different test scenarios for common states of the process have been generated to evaluate the improvement of the proposed control strategy.",
keywords = "METIS-307237, IR-93203",
author = "F.N. Dallinger and E.P. Roux and Havinga, {Gosse Tjipke} and R. d'Ippolito and {van Tijum}, R. and {van Ravenswaaij}, R. and P. Hora and {van den Boogaard}, {Antonius H.}",
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Dallinger, FN, Roux, EP, Havinga, GT, d'Ippolito, R, van Tijum, R, van Ravenswaaij, R, Hora, P & van den Boogaard, AH 2014, Adaptive process control strategy for a two-step bending process. in R Setchi, RJ Howlett, M Naim & H Seinz (eds), KES Transactions on Sustainable Design and Manufacturing. 1, vol. 1, Future Technology Press, England, UK, Cardiff, pp. 618-627, International Conference on Sustainable Design and Manufacturing, SDM 2014, Cardiff, United Kingdom, 28/04/14.

Adaptive process control strategy for a two-step bending process. / Dallinger, F.N.; Roux, E.P.; Havinga, Gosse Tjipke; d'Ippolito, R.; van Tijum, R.; van Ravenswaaij, R.; Hora, P.; van den Boogaard, Antonius H.

KES Transactions on Sustainable Design and Manufacturing. ed. / R. Setchi; R.J. Howlett; M. Naim; H. Seinz. Cardiff : Future Technology Press, England, UK, 2014. p. 618-627 (1; Vol. 1).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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T1 - Adaptive process control strategy for a two-step bending process

AU - Dallinger, F.N.

AU - Roux, E.P.

AU - Havinga, Gosse Tjipke

AU - d'Ippolito, R.

AU - van Tijum, R.

AU - van Ravenswaaij, R.

AU - Hora, P.

AU - van den Boogaard, Antonius H.

PY - 2014/4/28

Y1 - 2014/4/28

N2 - A robust production is an important goal in sheet metal forming in order to make the process outcome insensitive to variations in input and process conditions. This would guarantee a minimum number of defects and reduced press downtime. However, for com-plex parts it is difficult to achieve robust settings. Parts without defects can only be real-ized if the process parameters are adapted to the changed conditions. In this paper, an approach for adaptive process control is presented, taking the uncertain-ties and tolerances of the process and material into consideration. The proposed control approach combines feedback and feed-forward control strategies. The most significant improvement is to incorporate feed-forward control with knowledge about the system (also known as predictive models). To create these models high fidelity numerical models have been created. Furthermore, a procedure is presented to update the coefficients of the predictive model to adapt it to the actual process state. To evaluate the control strategy prior to its implementation, a testing environment has been developed. Different test scenarios for common states of the process have been generated to evaluate the improvement of the proposed control strategy.

AB - A robust production is an important goal in sheet metal forming in order to make the process outcome insensitive to variations in input and process conditions. This would guarantee a minimum number of defects and reduced press downtime. However, for com-plex parts it is difficult to achieve robust settings. Parts without defects can only be real-ized if the process parameters are adapted to the changed conditions. In this paper, an approach for adaptive process control is presented, taking the uncertain-ties and tolerances of the process and material into consideration. The proposed control approach combines feedback and feed-forward control strategies. The most significant improvement is to incorporate feed-forward control with knowledge about the system (also known as predictive models). To create these models high fidelity numerical models have been created. Furthermore, a procedure is presented to update the coefficients of the predictive model to adapt it to the actual process state. To evaluate the control strategy prior to its implementation, a testing environment has been developed. Different test scenarios for common states of the process have been generated to evaluate the improvement of the proposed control strategy.

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EP - 627

BT - KES Transactions on Sustainable Design and Manufacturing

A2 - Setchi, R.

A2 - Howlett, R.J.

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A2 - Seinz, H.

PB - Future Technology Press, England, UK

CY - Cardiff

ER -

Dallinger FN, Roux EP, Havinga GT, d'Ippolito R, van Tijum R, van Ravenswaaij R et al. Adaptive process control strategy for a two-step bending process. In Setchi R, Howlett RJ, Naim M, Seinz H, editors, KES Transactions on Sustainable Design and Manufacturing. Cardiff: Future Technology Press, England, UK. 2014. p. 618-627. (1).