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- Ericson, Åsa, et al.
(författare)
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Revisiting the Research Field of Product-Service Systems Development
- 2012
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Ingår i: Proceedings of the ASME 2012 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference : IDETC/CI. - New York : American Society of Mechanical Engineers. - 9780791845028 ; 3, s. 1043-1049
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Konferensbidrag (refereegranskat)abstract
- The research within the Product-Service Systems (PSS) field aims to support manufacturing industries’ ability to provide value in terms of a service offer to its customers, simultaneously taking a more holistic approach to eco-sustainability. The industrial idea of providing customer benefits in parallel with robust products is not new, yet equipping engineers to conduct innovation and applying a service perspective in the early design stages is noticed as fairly radical. The purpose in this paper is two-fold. First, to describe research efforts within the PSS field seen through our engineering design lenses, second, to explore and discuss plausible directions and by that identify “white spots” on the map, which may be seen as relevant directions for futureresearch.
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| 2. |
- Tarkian, Mehdi, 1982-, et al.
(författare)
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Metamodel Based Design Automation – Applied on Multidisciplinary Design Optimization of Industrial Robots
- 2012
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Ingår i: Proceedings of the ASME InternationalDesign Engineering Technical Conferences & Computers and information in Engineering Conference,Washington, USA, Aug 2012. - 9780791845028 ; , s. 833-845
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- Intricate and complex dependencies between multiple disciplines require iterative intensive optimization processes. To this end, multidisciplinary design optimization (MDO) has been established as a convincing concurrent technique to manage inherited complexities.This paper presents a high level CAD and CAE design automation methodology which enables fast, efficient concept generation for MDO. To increase the evaluation speed, global metamodels are introduced to replace computationally expensive CAD and CAE models. In addition, various techniques are applied to drastically decrease the number ofsamplings required to create the metamodels. In the final part of the paper, a multi-level optimization strategy is proposed to find the optimal concept.As proof of concept, a real world design problem, from ABB industrial robotics, is presented.
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