INTELLIGENT MANUFACTURING SYSTEMS PROJECT IRMA — LINKING VIRTUAL REALITY TO SIMULATION

2003 ◽  
Vol 02 (01) ◽  
pp. 105-110 ◽  
Author(s):  
CHRISTOPH RUNDE ◽  
HOLGER JOOSTEN ◽  
MARKUS MERSINGER ◽  
SABINE BIERSCHENK
Keyword(s):  
Virtual Reality ◽  
Manufacturing Systems ◽  
Control Process ◽  
Flow Simulation ◽  
Industrial Process ◽  
Intelligent Manufacturing ◽  
Robot Kinematics ◽  
Industrial Companies ◽  
Manufacturing Applications ◽  
Core Integration

An international group of industrial companies and research institutions is actually creating an integrated platform for industrial process control, process design, staff training and product design. By linking simulation and virtual reality, project IRMA (A Configurable Virtual Reality system for multi-purpose industrial manufacturing applications) is to improve manufacturing performance. The core integration module is the Delfoi INTEGRATOR™, a PC based message broker used to link a virtual environment and a production/failure database scenario, to different simulations (QUEST and ARENA material flow simulation, IGRIP robot kinematics simulation) or to programmable logic controls using their OPC interface.

Designing intelligent manufacturing systems through Human-Machine Cooperation principles: A human-centered approach

2017 ◽  
Vol 111 ◽  
pp. 581-595 ◽  
Author(s):  
Marie-Pierre Pacaux-Lemoine ◽  
Damien Trentesaux ◽  
Gabriel Zambrano Rey ◽  
Patrick Millot
Keyword(s):  
Manufacturing Systems ◽  
Intelligent Manufacturing ◽  
Intelligent Manufacturing Systems

Intelligent Manufacturing Systems: Self-organization in the I4.0 context

2021 ◽  
Author(s):  
Jackson T. Veiga ◽  
Marcosiris A. O. Pessoa ◽  
Fabricio Junqueira ◽  
Paulo E. Miyagi ◽  
Diolino J. Dos Santos Filho
Keyword(s):  
Manufacturing Systems ◽  
Intelligent Manufacturing ◽  
Self Organization ◽  
Intelligent Manufacturing Systems

Simulationsgestützte Produktionsplanung flexibler Fertigungssysteme*/Simulation-based production planning of flexible manufacturing systems

2019 ◽  
Vol 109 (04) ◽  
pp. 242-249
Author(s):  
A. Selmaier ◽  
T. Donhauser ◽  
T. Lechler ◽  
J. Zeitler ◽  
J. Franke
Keyword(s):  
Production Planning ◽  
Flexible Manufacturing ◽  
Material Flow ◽  
Flexible Manufacturing Systems ◽  
Manufacturing Systems ◽  
Flow Simulation ◽  
Limited Extent ◽  
Time Data ◽  
High Data ◽  
Simulation Based

Während sich das Verhalten starr verketteter Systeme relativ einfach mittels Materialflusssimulationen modellieren lässt, sind herkömmliche Simulationsansätze für flexible Fertigungssysteme aufgrund des hohen Datenerhebungs- sowie Parametrisieraufwands nur bedingt geeignet. Jedoch kann durch das automatische Übertragen von Echtzeitdaten in das Simulationsmodell der aktuelle Zustand solcher Systeme deutlich verbessert abgebildet werden. Der Beitrag stellt ein Konzept für die simulationsgestützte Produktionsplanung schnellveränderlicher Systeme vor.   While the behaviour of rigidly linked systems is relatively easy to model by means of material flow simulation, traditional simulation approaches are only suitable to a limited extent for flexible manufacturing systems due to the high data collection and parameterization effort. However, the use of real-time data can significantly improve the simulation of such systems. This paper presents an approach for simulation-based production planning of rapidly changing systems.

scholarly journals Standards Framework for Intelligent Manufacturing Systems Supply Chain

10.5772/19093 ◽  
2011 ◽  
Author(s):  
Ricardo Jardim-Goncalves ◽  
Carlos Agostinho ◽  
Joao Sarraipa ◽  
Amparo Roca de Togores ◽  
Maria Jose ◽  
...  
Keyword(s):  
Supply Chain ◽  
Manufacturing Systems ◽  
Intelligent Manufacturing ◽  
Intelligent Manufacturing Systems

The Intelligent Clamping Fixture

2012 ◽  
Vol 152-154 ◽  
pp. 1670-1674 ◽  
Author(s):  
Miroslava Kostalova ◽  
Peter Košťál
Keyword(s):  
Manufacturing Systems ◽  
Present Situation ◽  
Intelligent Manufacturing ◽  
Intelligent Manufacturing Systems ◽  
Industrial Manufacture ◽  
New Generation

Present situation in the industrial manufacture has brought new trends in the kind of flexibility and intelligence. That means new generation of intelligent manufacturing systems. New generation of clamping fixtures is represented by group of clamping fixtures which can be used in intelligent manufacturing systems.

On-the-Fly Substrate Eccentricity Recognition for Robotized Manufacturing Systems

2005 ◽  
Vol 127 (1) ◽  
pp. 206-216 ◽  
Author(s):  
Martin Hosek ◽  
Jan Prochazka
Keyword(s):  
Optical Sensors ◽  
Semiconductor Manufacturing ◽  
Manufacturing Systems ◽  
Robotic Manipulator ◽  
End Effector ◽  
Transfer Path ◽  
The Difference ◽  
Manufacturing Applications ◽  
Actual Location

This paper describes a method for on-the-fly determination of eccentricity of a circular substrate, such as a silicon wafer in semiconductor manufacturing applications, carried by a robotic manipulator, where eccentricity refers to the difference between the actual location of the center of the substrate and its desired position on the end-effector of the robotic manipulator. The method utilizes a pair of external optical sensors located along the substrate transfer path. When moving a substrate along the transfer path, the robotic manipulator captures the positions and velocities of the end-effector at which the edges of the substrate are detected by the sensors. These data along with the expected radius of the substrate and the coordinates of the sensors are used to determine the eccentricity of the substrate. This information can be used by the robotic manipulator to compensate for eccentricity of the substrate when performing a place operation, resulting in the substrate being placed centered regardless of the amount and direction of the initial eccentricity. The method can also be employed to detect a defect, such as breakage, of a circular substrate and report an error condition which can abort or otherwise adjust operation of the robotic manipulator.

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