Evolutionary optimization of deep-drawing processes on servo screw presses with freely programmable force and motion functions

Kriechenbauer, Sebastian; Muller, Peter A.; Mauermann, Reinhard; Drossel, Welf‐Guntram

doi:10.1016/j.procir.2021.11.250

Cited by 8 publications

(2 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…They determined the optimal parameters (force and motion functions) for a deep-drawing process with superimposed vibrations on servo screw presses. The results of the evolutionary optimization approaches are validated by experiments with cross die part [13]. Choudhari et al used the numerical and experimental approaches to analyze the effect of different drawing parameters such as blank shape, blank thickness, load, dry/wet lubrication on square cup drawing process for extra deep drawn steel sheet material.…”

Section: Strengths Weaknesses Traditional Methodsmentioning

confidence: 99%

Punch Motion Curve in the Extrusion–Drawing Process to Obtain Circular Cups

Chen

Wang

2022

Machines

View full text Add to dashboard Cite

Servo press technology is gaining attention because its punch motion curve offers greater formability than that of a conventional stamping press. This study investigated the effect of punch motion curves on the circular cup extrusion–drawing process. Various punch motion curves were analyzed, and the optimal curve for application was determined. Both the extrusion–drawing process and spring back of U-shaped sheet metal were investigated. In the circular cup extrusion–drawing process, the punch motion curve of a conventional stamping press (Case A) and three punch motion curves of a servo press (Cases B–D, the strokes of which differed from that of Case A by 0.5, 1.5, and 2.5 mm, respectively) were compared, particularly regarding the effect of the coefficient of friction on the circular cup extrusion–drawing process. The simulation analysis was performed using the software program DEFORM. A set of simulated parameters were compared with experimental results. The formability, cup shape, cup height, cup thickness, extrusion force–displacement curve, stress distribution, and strain distribution were analyzed for the design of the die required. Additionally, experimental and simulation results were compared to determine the reliability and precision of the DEFORM simulations. The results indicated that the conventional punch motion curve resulted in a shorter cup, greater stress, greater strain, and the need for a greater extrusion force. By contrast, the servo punch motion curves resulted in taller cups, less stress, and less strain. The findings can serve as a reference for the development of servo presses.

show abstract

Section: Strengths Weaknesses Traditional Methodsmentioning

confidence: 99%

Punch Motion Curve in the Extrusion–Drawing Process to Obtain Circular Cups

Chen

Wang

2022

Machines

View full text Add to dashboard Cite

show abstract

“…Their optimized parameters decreased the forming time (by 0.06 s), thinning ratio (by 0.1425%), and forming force (by 808 N). Kriechenbauer et al 17 proposed a systematic design based on computational science methods with free force and motion functions for deep-drawing processes on servo presses. They determined the optimal parameters (force and motion functions) for the deep-drawing process with superimposed vibrations on servo screw presses.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the punch motion curve for the springback of U-shaped sheet metal

Chen

Wang

et al. 2023

Advances in Mechanical Engineering

View full text Add to dashboard Cite

Servo presses achieve high formability by using different punch motion curves, thereby increasing their applicability in conventional processing fields. In this study, the punch motion curves of servo presses were optimized, and the effects of punch motion curves on the springback of U-shaped sheet metal were explored. Subsequently, the optimal punch motion curve was determined, and the springback effect after processing was investigated. Different punch motion curves were proposed and simulated for comparison with the results of conventional methods, and the equivalent stress values obtained using different motion curves and mold angles were analyzed. DEFORM software was used to conduct simulations to determine the differences between processing methods. In addition, the spring-go, springback, load–stroke characteristics, and stress and strain distributions of U-shaped sheet metal were investigated. The conventional motion curve resulted in springback, stress, strain, and required processing force higher than those achieved by the curves proposed in this study. The smaller the movement difference in the motion curve of the servo press was, the lower the springback, stress, and strain were. These results indicate that the punch motion curves obtained for different types of processing can serve as a reference for selecting appropriate parameter values for servo presses.

show abstract

Inline closed-loop control of bending angles with machine learning supported springback compensation

Molitor,

Arne,

Kubik

et al. 2023

Int J Mater Form

View full text Add to dashboard Cite

Closed-loop control of product properties is becoming increasingly important in forming technology research and enables users to counteract unavoidable uncertainties in semi-finished product properties and process environments. Therefore, closed-loop controlled forming processes are considered to have the potential to reduce tolerances on desired product properties, resulting in consistent qualities. The achievement of associated increases in robustness and reliability is linked to enormous requirements, which in particular include the inline recording of the product properties to be controlled and the subsequent adaptation of the process control through the targeted derivation of manipulated variables. The present paper uses the example of an air bending process to show how the bending angle can be controlled camera-based and how springback can be compensated within a stroke by recording force signals and subsequently predicting the loaded bending angle using machine learning algorithms. The results show that the combined application of camera-based control and machine learning assisted springback compensation leads to highly accurate bending angles, whereby the results strongly depend on the machine learning algorithms and associated data transformation processes used.

show abstract

Evolutionary optimization of deep-drawing processes on servo screw presses with freely programmable force and motion functions

Cited by 8 publications

References 12 publications

Punch Motion Curve in the Extrusion–Drawing Process to Obtain Circular Cups

Punch Motion Curve in the Extrusion–Drawing Process to Obtain Circular Cups

Analysis of the punch motion curve for the springback of U-shaped sheet metal

Inline closed-loop control of bending angles with machine learning supported springback compensation

Contact Info

Product

Resources

About