Ingo Staack

Bio: Ingo Staack is an academic researcher from Linköping University. The author has contributed to research in topics: Conceptual design & System of systems. The author has an hindex of 7, co-authored 26 publications receiving 140 citations.

Next Generation Simulation Software using Transmission Line Elements

Abstract: A suitable method for simulating large complex dynamic systems is represented by distributed modelling using transmission line elements. The method is applicable to all physical systems, such as me ...

A knowledge-based integrated aircraft conceptual design framework

Abstract: "The conceptual design is the early stage of aircraft design process where results are needed fast, both analytically and visually so that the design can be analyzed and eventually improved in the ...

Fuel consumption due to shaft power off-takes from the engine

Abstract: This paper looks at fuel consumption due to shaft power off-takes from the engine and the related increase in the aircraft’s fuel consumption. It presents a review and comparison of published and unpublished data on this kind of consumption. The paper presents results from the TURBOMATCH engine simulation model, calibrated to real world engine data. A generic equation is derived for the calculation of fuel consumption due to shaft power extraction. Main result is the shaft power factor kP found to be in the order of 0.002 N/W for a typical cruise flight. This yields an amazingly high efficiency for power generation by shaft power extraction from a turbo fan engine of more than 70 %.

Parametric Aircraft Conceptual Design Space

Abstract: This paper presents the development of a design framework for the initial conceptual design phase. The focus in this project is on a flexible database in XML format, together with close integration ...

Subscale flight testing used in conceptual design

Abstract: Purpose - The purpose of this paper is to present the latest subscale demonstrator aircraft developed at Linkoping University. It has been built as part of a study initiated by the Swedish Material ...

The OpenModelica Integrated Environment for Modeling, Simulation, and Model-Based Development

Abstract: OpenModelica is a unique large-scale integrated open-source Modelicaand FMI-based modeling, simulation, optimization, model-based analysis and development environment. Moreover, the OpenModelica environment provides a number of facilities such as debugging; optimization; visualization and 3D animation; web-based model editing and simulation; scripting from Modelica, Python, Julia, and Matlab; efficient simulation and co-simulation of FMI-based models; compilation for embedded systems; ModelicaUML integration; requirement verification; and generation of parallel code for multi-core architectures. The environment is based on the equation-based object-oriented Modelica language and currently uses the MetaModelica extended version of Modelica for its model compiler implementation. This overview paper gives an up-to-date description of the capabilities of the system, short overviews of used open source symbolic and numeric algorithms with pointers to published literature, tool integration aspects, some lessons learned, and the main vision behind its development.

Flow versus pressure control of pumps in mobile hydraulic systems

Abstract: This work studies an innovative working hydraulic system design for mobile applications, referred to as flow control. The fundamental difference compared to load-sensing systems is that the pump is ...

A comprehensive computational multidisciplinary design optimization approach for a tidal power plant turbine

Abstract: Multidisciplinary design optimization has become a powerful technique to facilitate continuous improvement of complex and multidisciplinary products. Parametric modeling is an essential part with t ...

Integration of aircraft systems into conceptual design synthesis

Abstract: In the scope of this thesis, a methodology for modeling of entire system architectures of commercial transport aircraft is presented. The author’s approach facilitates technology assessment of innovative system technology on aircraft-level in conceptual and early preliminary aircraft design. It closes the existing gap of sound systems modeling in early aircraft design synthesis. The proposed methodology uses a strictly function-driven approach for sizing of the single aircraft systems according to the dedicated aircraft-level functions. System weight and maximum as well as mission dependent power off-takes are estimated. The principle of energy balance is used to derive the power demand of the single systems. A modular and flexible approach has been chosen that allows for fast variation of the system architecture. Thus, investigation of large design spaces is possible. For integration and assessment of innovative systems technology, a probabilistic framework is introduced that incorporates remaining uncertainties. The proposed system model has been integrated into the Institute’s of Aeronautics and Astronautics (ILR) Multidisciplinary Integrated Conceptual Aircraft Design and Optimization (MICADO) environment. Thus, repercussions of system integration, e.g. on aircraft efficiency or performance, can be captured in a highly integrated environment. The proposed systems model is a valuable tool for sound assessment of innovative system technology on overall aircraft-level already in conceptual aircraft design. The proposed systems model has been validated against two commercial transport aircraft. Additionally, comprehensive sensitivity studies show dependencies and identify the main design drivers of the single systems. Two case studies show the added-value of integration of the proposed systems model into early aircraft design synthesis. The first case study concentrates on evaluation of the impact of engine power off-takes on aircraft performance and efficiency. The second design study focuses on integration of innovative technology into the overall system architecture and on application of the proposed probabilistic framework for considering the remaining uncertainties in design and technology assessment.