scholarly journals Intelligent Manufacturing Operations Planning, Scheduling and Dispatching on the Basis of Virtual Machine Tools

Author(s):  
Gerald Rehage ◽  
Frank Bauer ◽  
Jürgen Gausemeier ◽  
Benjamin Jurke ◽  
Peter Pruschek
2016 ◽  
Vol 106 (01-02) ◽  
pp. 77-82
Author(s):  
G. Rehage ◽  
F. Isenberg ◽  
R. Reisch ◽  
J. Weber ◽  
B. Jurke ◽  
...  

Auf dem Weg zu Industrie 4.0 wird die Arbeitsvorbereitung zunehmend von kognitiver Informationstechnik unterstützt. Der Beitrag präsentiert die bisherigen Ergebnisse des Forschungsprojekts „Intelligente Arbeitsvorbereitung auf Basis virtueller Werkzeugmaschinen“. Projektziel ist eine Cloud-Dienstleistungsplattform zur Reduzierung der Rüst- und Nebenzeiten durch eine intelligente Planung. Hierzu zählen unter anderem die Auswahl und Validierung alternativer Maschinen sowie die automatische Optimierung der Einrichtungsparameter durch verteilte Simulationen.   On the way to industry 4.0, the operations planning and scheduling will be aided by cognitive information systems. This contribution presents the previous findings of a research project called “Smart operations planning and scheduling on the basis of virtual machine tools” (translated from German). The aim of the project is the development of a cloud service for the smart planning of manufacturing operations; that will reduce the setup and non-productive times of machine tools. This is achieved by the automatic selection of alternative CNC machines, as well as the optimization of setup parameters via distributed simulation.


Author(s):  
Brian A. Weiss ◽  
Guixiu Qiao

Manufacturing work cell operations are typically complex, especially when considering machine tools or industrial robot systems. The execution of these manufacturing operations require the integration of layers of hardware and software. The integration of monitoring, diagnostic, and prognostic technologies (collectively known as prognostics and health management (PHM)) can aid manufacturers in maintaining the performance of machine tools and robot systems by providing intelligence to enhance maintenance and control strategies. PHM can improve asset availability, product quality, and overall productivity. It is unlikely that a manufacturer has the capability to implement PHM in every element of their system. This limitation makes it imperative that the manufacturer understand the complexity of their system. For example, a typical robot systems include a robot, end-effector(s), and any equipment, devices, or sensors required for the robot to perform its task. Each of these elements is bound, both physically and functionally, to one another and thereby holds a measure of influence. This paper focuses on research to decompose a work cell into a hierarchical structure to understand the physical and functional relationships among the system’s critical elements. These relationships will be leveraged to identify areas of risk, which would drive a manufacturer to implement PHM within specific areas.


2013 ◽  
Vol 722 ◽  
pp. 581-584
Author(s):  
Xin Jian Xu

this paper overall programme research on virtual design technology of machine tools, not only established a virtual design environment, identify reasonable options in a relatively short period of time, but also providing the basis for quotation, therefore reflecting a favourable measures quickly to market demand.


Author(s):  
Claire Dumas ◽  
Stéphane Caro ◽  
Sébastien Garnier ◽  
Benoît Furet

Roboticists are faced with new challenges in robotic-based manufacturing. Up to now manufacturing operations that require both high stiffness and accuracy have been mainly realized by using computer numerical control machine tools. This paper aims to show that manufacturing finishing tasks can be performed with robotic cells knowing the process cutting phenomena and the robot stiffness throughout its Cartesian workspace. It makes sense that the finishing task of large parts would be cheaper with robots. However, machining robots have not been adapted for such operations yet. As a consequence, this paper introduces a methodology that aims to determine the best placement of the workpiece to be machined knowing the cutting forces exerted on the tool and the elastostatic model of the robot. In this vein, a machining quality criterion is proposed and an optimization problem is formulated. The KUKA KR270-2 robot is used as an illustrative example throughout the paper.


Author(s):  
Ho-Yu Chuang ◽  
Jen-Yuan (James) Chang

Abstract At present, automatic machines have gradually replaced human labor for improving both the stability and effectiveness of manufacturing operations. Five-axis CNC machine tools are commonly used for traditional surface milling machining. However, it is still necessary to manually reposition the work-piece for the CNC machine tools that enviably lowers position accuracy. As such, it is essential to develop an integrated fusion system that can scan any objects and conduct repair operations automatically. The primary purpose of this research is to integrate the stereo vision system into an existing industrial manipulator. With the proposed method and system, the position error can be reduced by avoiding moving the work-pieces during operations. Also, reconstructing the scan results from multiple views avoids the common blocking problem in vision. Finally, the distance of the manipulator path is optimized by the Hill Climbing algorithm, allowing to create a trajectory of the manipulator end-effector to reprocess the work-piece. In the future, this system can be implemented for automated optical inspection (AOI), such as pipeline maintenance, turbine engine maintenance, and automatic classification of defects.


2016 ◽  
Vol 106 (05) ◽  
pp. 302-307
Author(s):  
S. Scheifele ◽  
A. Prof. Verl

Es wurde bereits gezeigt, wie sich moderne Steuerungssysteme modularer Maschinen und Anlagen mittels Informationen, die jedes Maschinenmodul bereitstellt, selbst konfigurieren. Beim Entstehungsprozess von Maschinen und Anlagen wird die virtuelle Maschine jedoch immer wichtiger. Der Fachbeitrag stellt vor, wie sich dieser Prozess auf die virtuelle Maschine übertragen und damit noch weiter automatisieren lässt.   It has already been shown, how modern control systems of modular machine tools and production plants configure themselves by the information each machine module provides. In the development process of machine tools and production plants, the virtual machine is getting more and more important. This paper presents how this process can be transferred to the virtual machine and thereby can be further automated.


2016 ◽  
Vol 853 ◽  
pp. 79-84 ◽  
Author(s):  
D. Morales-Palma ◽  
Andrés Jesús Martínez-Donaire ◽  
Gabriel Centeno ◽  
C. Vallellano

This work aims to generate the digital documentation related to a number of manufacturing processes on different machine tools. The project is developed with the contribution of engineering students doing their final thesis within this field. Different machine tools and machining and incremental forming processes have been virtualized by using the CAD/CAM software CATIA V5. Some of the modeled parts were finally manufactured after checking and post-processing the NC code. Digital documentation is developed on different formats (e.g. photographs, videos, images and simulations) in order to be used as a teaching complement.


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