Refine
Document Type
- Conference Proceeding (7)
- Article (6)
- Part of a Book (2)
Keywords
- Optimal Topology (2)
- Ventilation System (2)
- Booster Station (1)
- Controller Parameter (1)
- Discrete Optimisation (1)
- Discrete Optimization (1)
- Drinking Water Supply (1)
- Efficiency (1)
- Energy (1)
- Level Control System (1)
- Mixed-Integer Nonlinear Optimisation (1)
- Optimal Closed Loop (1)
- Piecewise Linearization (1)
- Pump System (1)
- Similarity Theory (1)
- Solver Per- formance (1)
- System Design Problem (1)
- TGA (1)
- Technical Operation Research (1)
- Technical Operations Research (1)
Nahezu 100.000 denkbare Strukturen kann ein Getriebe bei gleicher Funktion aufweisen - je nach Ganganzahl und gefordertem Freiheitsgrad. Mit dem traditionellen Ansatz bei der Entwicklung, einzelne vielversprechende Systemkonfigurationen manuell zu identifizieren und zu vergleichen, können leicht innovative und vor allem kostenminimale Lösungen übersehen werden. Im Rahmen eines Forschungsprojekts hat die TU Darmstadt spezielle Optimierungsmethoden angewendet, um auch bei großen Lösungsräumen zielsicher ein für die individuellen Zielstellungen optimales Layout zu finden.
In times of planned obsolescence the demand for sustainability keeps growing. Ideally, a technical system is highly reliable, without failures and down times due to fast wear of single components. At the same time, maintenance should preferably be limited to pre-defined time intervals. Dispersion of load between multiple components can increase a system’s reliability and thus its availability inbetween maintenance points. However, this also results in higher investment costs and additional efforts due to higher complexity. Given a specific load profile and resulting wear of components, it is often unclear which system structure is the optimal one. Technical Operations Research (TOR) finds an optimal structure balancing availability and effort. We present our approach by designing a hydrostatic transmission system.
Cheap does not imply cost-effective -- this is rule number one of zeitgeisty system design. The initial investment accounts only for a small portion of the lifecycle costs of a technical system. In fluid systems, about ninety percent of the total costs are caused by other factors like power consumption and maintenance. With modern optimization methods, it is already possible to plan an optimal technical system considering multiple objectives. In this paper, we focus on an often neglected contribution to the lifecycle costs: downtime costs due to spontaneous failures. Consequently, availability becomes an issue.