Using model order reduction for disturbance feed forward control based on transient thermal finite element models

Oetinger, Daniela; Sawodny, Oliver

doi:10.1109/cca.2015.7320821

Cited by 3 publications

(1 citation statement)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Hence, the resulting computation costs of the FEM would be far too great for efficient control design. A possible solution to overcome this challenge, which has to be investigated in the future, could be to directly export a reduced order model from the FEM into the MATLAB/Simulink system model, as Roncarati and Oetinger in [21] and [22] already have successfully demonstrated. It is tentatively planned to adapt this approach to a model order reduction of the (single pass) reverse flow forming process model from this paper.…”

Section: Model-based Closed-loop Process Controlmentioning

confidence: 99%

A flow forming process model to predict workpiece properties in AISI 304L

Arian¹,

Oesterwinter

Homberg

et al. 2022

IOP Conf. Ser.: Mater. Sci. Eng.

View full text Add to dashboard Cite

The control of workpiece properties enables an application-oriented and time-efficient production of components. In reverse flow forming, e.g., the control of the microstructure profile, in contrast to the adjustment of the geometry, is not yet part of the state of the art. This is particularly challenging when forming seamless tubes made of metastable austenitic stainless AISI 304L steel. In this steel, a phase transformation from austenite to martensite can occur due to mechanically and/or thermally induced energy. The α’-martensite has different mechanical and micromagnetic properties, which can be advantageous depending on the application. For the purpose of local property control, the resulting α’-martensite content should be measured and controlled online during the forming process. In this paper, results from an empirical correlation model of process parameter combinations and resulting α’-martensite content as well as geometry will be presented. Based on this, the focus of the paper will be on process modeling by means of FEM in order to create the transition to a numerically supported process model. Furthermore, it will be specified how the numerical process model can be used in a predictive manner for an online closed-loop process control.

show abstract

Section: Model-based Closed-loop Process Controlmentioning

confidence: 99%