Tiefziehen mittels adaptiver Platinenlage/Control of deep drawing processes by means of adaptive blank positioning

2020 ◽  
Vol 110 (10) ◽  
pp. 666-671
Author(s):  
Patrick Cyron ◽  
Mathias Liewald ◽  
David Briesenick
Keyword(s):  
Adaptive Control ◽  
Control Systems ◽  
Sheet Metal ◽  
Deep Drawing ◽  
Cost Effective ◽  
Series Production ◽  
Control Concept ◽  
In Series ◽  
Scrap Rate ◽  
Metal Properties

Bei der Serienproduktion von Blechbauteilen können schwankende Blecheigenschaften zu zeitintensiven Anlaufphasen und erhöhten Ausschussraten führen. Diesen Herausforderungen wird heute mit werkzeugbasierten Regelungssystemen begegnet, welche aber eine komplexe und kostenintensive Modifikation der bestehenden Werkzeuge beziehungsweise Pressen erfordern. Vor diesem Hintergrund befasst sich der Beitrag mit einem relativ einfachen und kostengünstigen Regelungsansatz auf Basis einer adaptiven Platinenpositionierung.   In series production of sheet metal components, varying sheet metal properties may lead to an increase of try-out time phase and scrap rate. Today, these challenges are met by tool-based control systems, which, however, require a complex and cost-intensive modification of the existing die or press technology. Against this background, this paper deals with a relatively simple but cost-effective adaptive control concept based on adjustable blank positioning.

Sheet Metal Blank Development of a Deep Drawing Fan Support Using Theoretical Rules and FEM

2014 ◽  
Author(s):  
Pedro de Jesus Garcia Zugasti ◽  
Erick M. Salcedo Murillo ◽  
Hugo I. Medellín Castillo ◽  
Dirk Frederik De Lange ◽  
Juan Gabriel Sandoval Granja
Keyword(s):  
Sheet Metal ◽  
Deep Drawing ◽  
Model Simulation ◽  
Cost Effective ◽  
Design Tool ◽  
Forming Process ◽  
Before And After ◽  
Metal Forming Process ◽  
Production Stages ◽  
Metal Blank

Deep drawing is a cost effective sheet metal forming process to produce many industrial components. However, complex geometrical drawn parts are difficult to form due to several modes and conditions of the material flow. Commonly problems associated to the forming operation are wrinkling and tearing defects, which affect the cost and quality of the parts. Actually, there are not theoretical methods developed in the literature yet, so the trial and error method are used to reduce or eliminate the deep drawing defects or inclusive is utilized in the earlier production stages, resulting in higher costs and longer production times. This paper describe a proposed solution to reduce or eliminate the wrinkles defects on the flanges of an industrial fan support that result from applying the forming process. An analysis procedure based on the development of the correct sheet metal blank considering three different blank geometries was proposed. The analysis include the analytical methods available in the literature, the simulation with a computer program based on the Finite Element Method (FEM) and experimentation. FEM model, simulation and results, these were validated by measuring the thickness profile on the flanges of a deep drawing part, before and after the procedure implementation. The results have shown that combining both the analytical and FEM methods, were possible to know the influence degree of the sheet metal blank geometry to reduce or eliminate the wrinkle defect and these can be used as an effective design tool.

Laser-assisted sheet metal working in series production

2013 ◽  
Author(s):  
Christian Brecher ◽  
Michael Emonts ◽  
Markus Eckert
Keyword(s):  
Sheet Metal ◽  
Series Production ◽  
Metal Working ◽  
In Series

scholarly journals ADAPTIVE MULTI-PURPOSE CONTROL SYSTEMS FOR SHIP TECHNICAL FACILITIES

2017 ◽  
pp. 59-67
Author(s):  
Hein Min ◽  
Igor Ivanovich Turkin
Keyword(s):  
Adaptive Control ◽  
Control Systems ◽  
Emergency Operation ◽  
Control Algorithms ◽  
Working Capacity ◽  
Microprocessor Control ◽  
Adaptive Control Systems ◽  
Extended Range ◽  
Control Concept ◽  
Object Of Study

The object of study is ship technical facilities. The aim of the research is the devel-opment of adaptive control systems with an extended range of tasks solved by these means (multi-purpose control systems). The proposed algorithms for microprocessor control systems provide both a solution of the traditional control tasks (supply these systems with adaptive properties) and tasks to enhance their working capacity and vitality (prevention of the emergency operation). The solution of the adaptive control tasks is based on self-organizing optimal control concept with extrapolation of Academician A. A. Krasovskii, solving the tasks to improve the working capacity and vitality of these systems - on multi-purpose control concept. It has been shown that the simultaneous solution of these tasks is possible only when using adaptive control algorithms, realizing not only parametric, and but also structural - parametric adaptation system. An example of the synthesis of the adaptive multi-purpose control system of moving the ship with the traffic was shown. The results of the research allow us to conclude about the effectiveness and the prospects of the proposed approach.

scholarly journals Adaptive Control Structure with Neural Data Processing Applied for Electrical Drive with Elastic Shaft

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3389
Author(s):  
Marcin Kamiński ◽  
Krzysztof Szabat
Keyword(s):  
Neural Network ◽  
Adaptive Control ◽  
Dynamic Properties ◽  
Experimental Studies ◽  
Drive System ◽  
Particle Swarm Optimizer ◽  
The Neural Network ◽  
Control Concept ◽  
Constant Coefficients ◽  
Selection Of

This paper presents issues related to the adaptive control of the drive system with an elastic clutch connecting the main motor and the load machine. Firstly, the problems and the main algorithms often implemented for the mentioned object are analyzed. Then, the control concept based on the RNN (recurrent neural network) for the drive system with the flexible coupling is thoroughly described. For this purpose, an adaptive model inspired by the Elman model is selected, which is related to internal feedback in the neural network. The indicated feature improves the processing of dynamic signals. During the design process, for the selection of constant coefficients of the controller, the PSO (particle swarm optimizer) is applied. Moreover, in order to obtain better dynamic properties and improve work in real conditions, one model based on the ADALINE (adaptive linear neuron) is introduced into the structure. Details of the algorithm used for the weights’ adaptation are presented (including stability analysis) to perform the shaft torque signal filtering. The effectiveness of the proposed approach is examined through simulation and experimental studies.

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