A Prototype Simulation-based Optimization Approach to Model Feedstock Development for Chemical Process Industry

2012 ◽  
pp. 272-276 ◽  
Author(s):  
Ismail Fahmi ◽  
Selen Cremaschi
Keyword(s):  
Chemical Process ◽  
Process Industry ◽  
Optimization Approach ◽  
Chemical Process Industry ◽  
Simulation Based ◽  
Simulation Based Optimization

ATI 425

Alloy Digest ◽  
2004 ◽  
Vol 53 (7) ◽  
Keyword(s):  
Fracture Toughness ◽  
Chemical Process ◽  
Aerospace Industry ◽  
Processing Parameters ◽  
Process Industry ◽  
Hot Workability ◽  
Chemical Process Industry ◽  
Armor Plate ◽  
Ballistic Protection ◽  
Hot Rolled

Abstract ATI 425 was originally developed for hot-rolled armor plate to provide ballistic protection comparable to Ti-6Al-4V and has been evaluated against a variety of projectile threats for use as armor. While processing the alloy for armor plate applications, it was observed that the material exhibited very good hot workability, permitting a more lenient window of processing parameters than necessary for Ti-6Al-4V. Versatility then expanded, and applications now exist in the chemical process industry (CPI) and in the aerospace industry. This datasheet provides information on composition, physical properties, and tensile properties as well as fracture toughness and fatigue. It also includes information on corrosion resistance. Filing Code: TI-133. Producer or source: ATI Wah Chang, Allegheny Technologies. Originally published March 2004, revised July 2004.

Adaptive PPS durch simulationsbasierte Optimierung*/Adaptive PPC by simulation-based optimization

2017 ◽  
Vol 107 (04) ◽  
pp. 288-292
Author(s):  
M. Kück ◽  
J. Ehm ◽  
T. Hildebrandt ◽  
M. Prof. Freitag ◽  
E. M. Prof. Frazzon
Keyword(s):  
Job Shop ◽  
Job Shop Scheduling ◽  
Production Systems ◽  
Semiconductor Industry ◽  
Small Scale ◽  
Planning Problem ◽  
Optimization Approach ◽  
Flexible Production Systems ◽  
Simulation Based ◽  
Simulation Based Optimization

Der Trend zur Fertigung individualisierter Produkte in kleinen Losgrößen erfordert hochflexible Produktionssysteme. Durch die damit verbundene Systemdynamik wird die Reihenfolgeplanung zu einem komplexen Planungsproblem. Der Beitrag beschreibt ein simulationsbasiertes Optimierungsverfahren, welches Echtzeitinformationen zur adaptiven Selektion geeigneter Prioritätsregeln verwendet. Das Potenzial des Ansatzes wird anhand eines Anwendungsfalls aus der Halbleiterindustrie demonstriert.   The trend to manufacturing individualized products in small-scale series demands highly flexible production systems. Because of the dynamic nature of such production systems, scheduling becomes a complex planning problem with frequent need for rescheduling. This article describes a data-driven simulation-based optimization approach using real-time information for adaptive job shop scheduling. The potential of the approach is demonstrated by a use case from semiconductor industry.

Simulationsbasierte Optimierung von Fabrikabläufen*/Simulation-based optimization of factory processes

2018 ◽  
Vol 108 (04) ◽  
pp. 221-227
Author(s):  
T. Donhauser ◽  
L. Baier ◽  
T. Ebersbach ◽  
J. Franke ◽  
P. Schuderer
Keyword(s):  
Calcium Silicate ◽  
Optimization Approach ◽  
Process Technology ◽  
High Quality ◽  
Decomposition Approach ◽  
Planning And Control ◽  
Simulation Based ◽  
Simulation Based Optimization ◽  
And Control

Die Kalksandsteinherstellung weist aufgrund prozesstechnisch und zeitlich divergierender Teilprozesse einen hohen Planungs- sowie Steuerungsaufwand auf. Durch Einsatz eines simulationsgestützten Optimierungsverfahrens kann diese Komplexität bewältigt werden. Um bei hoher Lösungsqualität eine Laufzeit zu erreichen, die einen operativen Einsatz des Verfahrens gestattet, wird auf Basis einer vorangegangenen Studie ein Dekompositionsansatz implementiert und dessen Eignung durch Testläufe validiert.   Calcium silicate masonry production requires a great deal of planning and control due to the fact that subprocesses vary in terms of process technology and time. To overcome this complexity, a simulation-based optimization approach is applied. As a short runtime that allows the method to be used operationally and yet still offers a high quality of solution is crucial, a decomposition approach is implemented on the basis of a previous study and its suitability is validated by means of test runs.

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