Estimating product-to-product variations in metal forming using force measurements

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

Abstract

The limits of production accuracy of metal forming processes can be stretched by the development of control systems for compensation of product-to-product variations. Such systems require the use of measurements from each semi-finished product. These measurements must be used to estimate the final quality of each product. We propose to predict part of the product-to-product variations in multi-stage forming processes based on force measurements from previous process stages. The reasoning is that final product properties as well as process forces are expected to be correlated since they are both affected by material and process variation. In this study, an approach to construct a moving window process model based on historical data from the process is presented. These regression models can be built and updated in real-time during production. The approach is tested with data from a demonstrator process with cutting, deep drawing and bending stages. It is shown that part of the product-to-product variations in the process can be predicted with the developed process model.

Original languageEnglish
Title of host publicationProceedings of the 20th International ESAFORM Conference on Material Forming, ESAFORM 2017
PublisherAmerican Institute of Physics
Volume1896
ISBN (Electronic)9780735415805
DOIs
Publication statusPublished - 16 Oct 2017
Event20th International ESAFORM Conference on Material Forming - City University Dublin, Dublin, Ireland
Duration: 26 Apr 201728 Apr 2017
Conference number: 20
http://www.esaform2017.com/ehome/index.php?eventid=153382&

Publication series

NameAIP conference proceedings
Number1
Volume1896

Conference

Conference20th International ESAFORM Conference on Material Forming
Abbreviated titleESAFORM 2017
CountryIreland
CityDublin
Period26/04/1728/04/17
Internet address

Fingerprint

metal forming
estimating
products
deep drawing
regression analysis

Cite this

Havinga, G. T., & Van Den Boogaard, T. (2017). Estimating product-to-product variations in metal forming using force measurements. In Proceedings of the 20th International ESAFORM Conference on Material Forming, ESAFORM 2017 (Vol. 1896). [070002] (AIP conference proceedings; Vol. 1896, No. 1). American Institute of Physics. https://doi.org/10.1063/1.5008077
Havinga, Gosse Tjipke ; Van Den Boogaard, Ton. / Estimating product-to-product variations in metal forming using force measurements. Proceedings of the 20th International ESAFORM Conference on Material Forming, ESAFORM 2017. Vol. 1896 American Institute of Physics, 2017. (AIP conference proceedings; 1).
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Havinga, GT & Van Den Boogaard, T 2017, Estimating product-to-product variations in metal forming using force measurements. in Proceedings of the 20th International ESAFORM Conference on Material Forming, ESAFORM 2017. vol. 1896, 070002, AIP conference proceedings, no. 1, vol. 1896, American Institute of Physics, 20th International ESAFORM Conference on Material Forming, Dublin, Ireland, 26/04/17. https://doi.org/10.1063/1.5008077

Estimating product-to-product variations in metal forming using force measurements. / Havinga, Gosse Tjipke; Van Den Boogaard, Ton.

Proceedings of the 20th International ESAFORM Conference on Material Forming, ESAFORM 2017. Vol. 1896 American Institute of Physics, 2017. 070002 (AIP conference proceedings; Vol. 1896, No. 1).

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

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Havinga GT, Van Den Boogaard T. Estimating product-to-product variations in metal forming using force measurements. In Proceedings of the 20th International ESAFORM Conference on Material Forming, ESAFORM 2017. Vol. 1896. American Institute of Physics. 2017. 070002. (AIP conference proceedings; 1). https://doi.org/10.1063/1.5008077