Model approaches for closed-loop property control for flow forming

Riepold, Markus; Arian, Bahman; Vasquez, Julian Rozo; Homberg, Werner; Walther, Frank; Trächtler, Ansgar

doi:10.1016/j.aime.2021.100057

Cited by 8 publications

(17 citation statements)

References 15 publications

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“…Including non-ideal forming effects in Eq. 5, the model presented significantly differs from the approach, Riepold et al presented in [12].…”

Section: Roller Tool Modelmentioning

confidence: 73%

“…In [12], Riepold et al already proposed a system model for the forming process of metastable austenitic steels which is based on a geometrical modelling approach by Marini et. al [13].…”

Section: System Model For Control Designmentioning

confidence: 99%

“…Riepold et al use an ideal deformation model and an analytical model of the martensite transformation. In this paper, we extent the approach from [12] by an empiric model for plastic deformation (instead of the ideal deformation) and the sensor system for closed-loop control. For the model, generally an ideal position-controlled actuator is assumed (similar to the control of the real actuator at the forming machine).…”

Section: System Model For Control Designmentioning

confidence: 99%

“…The material flow in axial direction is a direct consequence from plastic deformation in radial direction. Here the approach of volume constancy according to [12] and [13] is used. Comparing the volume of the hollow frustrum (described by surface line and the discrete points) before and after forming, the elongation of the volume element (length 𝑙𝑙 𝑖𝑖 ) is described by…”

Section: Roller Tool Modelmentioning

confidence: 99%

“…The forming process model incorporates an analytical model of the martensite transformation which is adapted from [12] by Riepold et al The model generally is based on the sigmoidal Gompertz function and Olson-Cohen model [16] for description of the strain-induced nucleation and growth of α'-martensite in austenitic steels [17]. In [12], the authors have already evidenced, that a sigmoidal model depending on the radial true strain as an input variable is appropriate to describe the martensite fraction in the special flow forming process of austenitic steels. Radial true strain is here defined as…”

Section: Materials Modelmentioning

confidence: 99%

See 4 more Smart Citations

Innovative Online Measurement and Modelling Approach for Property-Controlled Flow Forming Processes

Kersting

Arian

Vasquez

et al. 2022

KEM

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The production of complex multi-functional, high-strength parts is becoming increasingly important in the industry. Especially with small batch size, the incremental flow forming processes can be advantageous. The production of parts with complex geometry and locally graded material properties currently depicts a great challenge in the flow forming process. At this point, the usage of closed-loop control for the shape and properties could be a feasible new solution. The overall aim in this project is to establish an intelligent closed-loop control system for the wall thickness as well as the α’-martensite content of AISI 304L-workpieces in a flow forming process. To reach this goal, a novel sensor concept for online measurements of the wall thickness reduction and the martensite content during forming process is proposed. It includes the setup of a modified flow forming machine and the integration of the sensor system in the machine control. Additionally, a simulation model for the flow forming process is presented which describes the forming process with regard to the plastic workpiece deformation, the induced α’-martensite fraction, and the sensor behavior. This model was used for designing a closed-loop process control of the wall thickness reduction that was subsequently realized at the real plant including online measured feedback from the sensor system.

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“…Including non-ideal forming effects in Eq. 5, the model presented significantly differs from the approach, Riepold et al presented in [12].…”

Section: Roller Tool Modelmentioning

confidence: 73%

“…In [12], Riepold et al already proposed a system model for the forming process of metastable austenitic steels which is based on a geometrical modelling approach by Marini et. al [13].…”

Section: System Model For Control Designmentioning

confidence: 99%

Section: System Model For Control Designmentioning

confidence: 99%

Section: Roller Tool Modelmentioning

confidence: 99%

Section: Materials Modelmentioning

confidence: 99%

See 3 more Smart Citations

Innovative Online Measurement and Modelling Approach for Property-Controlled Flow Forming Processes

Kersting

Arian

Vasquez

et al. 2022

KEM

Self Cite

View full text Add to dashboard Cite

show abstract

Softsensors: key component of property control in forming technology

Homberg,

Arian,

Arne

et al. 2023

Prod. Eng. Res. Devel.

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The constantly increasing challenges of production technology for the economic and resource-saving production of metallic workpieces require, among other things, the optimisation of existing processes. Forming technology, which is confronted with new challenges regarding the quality of the workpieces, must also organise the individual processes more efficiently and at the same time more reliably in order to be able to guarantee good workpiece quality and at the same time to be able to produce economically. One way to meet these challenges is to carry out the forming processes in closed-loop control systems using softsensors. Despite the many potential applications of softsensors in the field of forming technology, there is still no definition of the term softsensor. This publication therefore proposes a definition of the softsensor based on the definition of a sensor and the distinction from the observer, which on the one hand is intended to stimulate scientific discourse and on the other hand is also intended to form the basis for further scientific work. Based on this definition, a wide variety of highly topical application examples of various softsensors in the field of forming technology are given.

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