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Petter Krus

Bio: Petter Krus is an academic researcher from Linköping University. The author has contributed to research in topics: Flight simulator & System of systems. The author has an hindex of 3, co-authored 17 publications receiving 20 citations.

Papers
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Proceedings ArticleDOI
23 Oct 2019
TL;DR: The proposed method is largely built to cover the first levels of related work, where a process for system of systems in the context of product development is introduced and provides a framework for approaching the system-of-systems design space creation using ontology.
Abstract: This paper presents an approach to system-of-systems engineering for product development with the use of ontology. A proposed method for building as well as using ontology to generate and explore system-of-systems design spaces based on identified system-of-system needs is presented. The method is largely built to cover the first levels of related work, where a process for system of systems in the context of product development is introduced. Within this work, it is shown that scenarios for a system-of-systems can be used to identify needs and subsequently the system-of-systems capabilities that fulfils them. The allocation of capabilities to possible constituent systems is used to show the available design space. The proposed method of this paper therefore addresses these initial challenges and provides a framework for approaching the system-of-systems design space creation using ontology. A case study is used to test the method on a fictitious search and rescue scenario based on available resources and information from the Swedish Maritime Administration. The case study shows that a representation of a system-of-systems scenario can be created in an ontology using the method. The ontology provides a representation of the involved entities from the fictitious scenario and their existing relationships. Defined ontology classes containing conditions are used to represent the identified needs for the system-of-systems. The invocation of a description logic reasoner is subsequently used to classify and create an inferred ontology where the available system-of-systems solutions are represented as sub-classes and individuals of the defined classes representing the needs. Finally, several classes representing different possible system-of-systems needs are used to explore the available design space and to identify the most persistent solutions of the case study.

5 citations

01 Jan 2018
TL;DR: Remotely piloted scaled models not only serve as convenient low-risk flying test-beds but also can provide useful data and increase confidence in an eventual full-scale design.
Abstract: Remotely piloted scaled models not only serve as convenient low-risk flying test-beds but also can provide useful data and increase confidence in an eventual full-scale design. Nevertheless, perfor ...

5 citations

01 Jan 2018
TL;DR: A novel, multi-purpose, desktop simulator that can be used for detailed studies of the overall performance of coupled aircraft systems is presented.
Abstract: Modelling and Simulation is key in aircraft system development. This paper presents a novel, multi-purpose, desktop simulator that can be used for detailed studies of the overall performance of cou ...

4 citations


Cited by
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Journal ArticleDOI
06 Apr 2016
TL;DR: Marshall has unique expertise in leveraging new digital tools, 3D printing, and other advanced manufacturing technologies and applying them to propulsion systems design and other aerospace materials to meet NASA mission and industry needs.
Abstract: Propulsion system development requires new, more affordable manufacturing techniques and technologies in a constrained budget environment, while future in-space applications will require in-space manufacturing and assembly of parts and systems. Marshall is advancing cuttingedge commercial capabilities in additive and digital manufacturing and applying them to aerospace challenges. The Center is developing the standards by which new manufacturing processes and parts will be tested and qualified. Rapidly evolving digital tools, such as additive manufacturing, are the leading edge of a revolution in the design and manufacture of space systems that enables rapid prototyping and reduces production times. Marshall has unique expertise in leveraging new digital tools, 3D printing, and other advanced manufacturing technologies and applying them to propulsion systems design and other aerospace materials to meet NASA mission and industry needs. Marshall is helping establish the standards and qualifications “from art to part” for the use of these advanced techniques and the parts produced using them in aerospace or elsewhere in the U.S. industrial base.

481 citations

Journal ArticleDOI
TL;DR: In this paper, the authors present the most common practices in multidisciplinary design optimization (MDO) of UAVs over the past decade, and identify a literature sample through est...
Abstract: The aim of this paper is to present the most common practices in multidisciplinary design optimization (MDO) of aerial vehicles over the past decade. The literature sample is identified through est ...

26 citations

Journal ArticleDOI
TL;DR: A collaborative multidisciplinary design optimization process is proposed in the conceptual design phase in order to increase the likelihood of more accurate decisions being taken early on.
Abstract: In a product development process, it is crucial to understand and evaluate multiple and synergic aspects of systems such as performance, cost, reliability, and safety. These aspects are mainly considered during later stages of the design process. However, in order to improve the foundations for decision-making, this article presents methods that are intended to increase the engineering knowledge in the early design phases. In complex products, different systems from a multitude of engineering disciplines have to work tightly together. Collaborative design is described as a process where a product is designed through the collective and joint efforts of domain experts. A collaborative multidisciplinary design optimization process is therefore proposed in the conceptual design phase in order to increase the likelihood of more accurate decisions being taken early on. The performance of the presented framework is demonstrated in an industrial application to design aircraft systems in the conceptual phase.

23 citations

Dissertation
29 Nov 2018
TL;DR: The general objective is to allow holistic sizing of mechatronic engineering systems with emphasis placed on model reusability and rapid decision making.
Abstract: The critical short term challenge for contemporary aerospace industrial companies is to design safe, reliable, compact, low power consumption and low environmental impact products, forces driven by economic competition and the increasing expectations of customers and certification authorities. A long-term challenge for these organizations is to manage their knowledge and expertise heritage, which is jeopardized due to forthcoming retirement of the current generation of experts, engineers and technicians. Undertaking these challenges is particularly intricate when it comes to embedded mechatronic systems used in electro-mechanical actuation systems. The design of these complex systems involves heterogeneous knowledge due to the interface of multiple engineering specializations and the interacting physical laws that govern their behaviour. Additionally, embedded mechatronic systems are composed of several interdependent components and sub-systems. Dealing with interdependencies remains a non-trivial and fundamental aspect of modern engineering practice. This can result in costly iterations during the design process and final non-optimal solutions. Multidisciplinary System Design Optimization techniques provide theoretical foundations and computational tools for optimizing large and multidisciplinary systems. Tasks must be performed to apply such techniques for rapid initial sizing of mechatronic products: modelling the design knowledge, partitioning and coordinating the models for system performances analysis and optimization. Algebraic analysis functions are chosen to represent the design models. A new Multidisciplinary System Design Optimization formulation for fast and robust analysis is proposed. A theoretic graph approach using symbolic manipulation to assist designers in formulating large and multidisciplinary problems is outlined. A specific design methodology and its associated framework developed are presented. The general objective is to allow holistic sizing of mechatronic engineering systems with emphasis placed on model reusability and rapid decision making. The methodology is illustrated using a simple aerospace actuation system example. More complex actuation systems are then addressed. First, the design of an electro-mechanical primary flight control actuation system is examined, subsequently; the design methodology is applied to an electrical thrust reverser actuation system.

14 citations

Journal ArticleDOI
TL;DR: An intelligent design method which has steps of design space exploration of actuation system architectures by constraint satisfaction problem (CSP) method, safety assessment process to exclude unsafety solution, multi-objectives optimization to get Pareto optimal front and comprehensive decision for final architecture via analytic hierarchy process is proposed.

10 citations