Uncertainty modeling to enable software development platforms that can automate complex mechanical systems design

Kevin Otto; Christoffer  Levandowski; Anders Forslund; Hans Johannesson; Rikard Söderberg

Uncertainty modeling to enable software development platforms that can automate complex mechanical systems design

Kevin Otto, Christoffer Levandowski, Anders Forslund, Hans Johannesson, Rikard Söderberg

Not published at Aalto University

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

2 Citations (Scopus)

Abstract

Development platforms are automated software tools used to synthesize new designs. They are prevalent in the embedded system design domain, with applications ranging from integrated circuits, circuit boards, electro-mechanical controls, and entire networked systems. Historically, this has enabled rapid and error-free design of very complex embedded software and electronics hardware, even those that control mechanical systems such as aerospace and automotive controls through automation of the design process. The state of mechanical design automation has far less commercial adoption or industrial demonstration of development platforms in mechanical design. This paper elaborates on what challenges mechanical design automation faces to reach the level of design automation in the embeded systems domain. Given a design library approach, it is concluded that uncertainty management is a key issue for future research, including model uncertainty for mechanical design modeling. These issues are then contextualized using a case from the aerospace industy.

Original language	English
Title of host publication	Proceedings of the International Conference on Engineering Design, ICED
Editors	U Lindemann, Srinivasan, YS Kim, SW Lee, P Papalambros, W Chen
Pages	247-256
Number of pages	10
Volume	9 DS75-09
Publication status	Published - 2013
MoE publication type	A4 Conference publication
Event	International Conference on Engineering Design - Seoul, Korea, Republic of Duration: 19 Aug 2013 → 22 Aug 2013 Conference number: 19

Publication series

Name	International Conference on Engineering Design
Publisher	DESIGN SOC
ISSN (Print)	2220-4334

Conference

Conference	International Conference on Engineering Design
Abbreviated title	ICED
Country/Territory	Korea, Republic of
City	Seoul
Period	19/08/2013 → 22/08/2013

Keywords

Computational design synthesis
Design automation
Product modelling
Simulation
Uncertainty management

Cite this

Otto, K., Levandowski, C., Forslund, A., Johannesson, H., & Söderberg, R. (2013). Uncertainty modeling to enable software development platforms that can automate complex mechanical systems design. In U. Lindemann, Srinivasan, YS. Kim, SW. Lee, P. Papalambros, & W. Chen (Eds.), Proceedings of the International Conference on Engineering Design, ICED (Vol. 9 DS75-09, pp. 247-256). (International Conference on Engineering Design).

Otto, Kevin ; Levandowski, Christoffer ; Forslund, Anders et al. / Uncertainty modeling to enable software development platforms that can automate complex mechanical systems design. Proceedings of the International Conference on Engineering Design, ICED. editor / U Lindemann ; Srinivasan ; YS Kim ; SW Lee ; P Papalambros ; W Chen. Vol. 9 DS75-09 2013. pp. 247-256 (International Conference on Engineering Design).

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title = "Uncertainty modeling to enable software development platforms that can automate complex mechanical systems design",

abstract = "Development platforms are automated software tools used to synthesize new designs. They are prevalent in the embedded system design domain, with applications ranging from integrated circuits, circuit boards, electro-mechanical controls, and entire networked systems. Historically, this has enabled rapid and error-free design of very complex embedded software and electronics hardware, even those that control mechanical systems such as aerospace and automotive controls through automation of the design process. The state of mechanical design automation has far less commercial adoption or industrial demonstration of development platforms in mechanical design. This paper elaborates on what challenges mechanical design automation faces to reach the level of design automation in the embeded systems domain. Given a design library approach, it is concluded that uncertainty management is a key issue for future research, including model uncertainty for mechanical design modeling. These issues are then contextualized using a case from the aerospace industy.",

keywords = "Computational design synthesis, Design automation, Product modelling, Simulation, Uncertainty management",

author = "Kevin Otto and Christoffer Levandowski and Anders Forslund and Hans Johannesson and Rikard S{\"o}derberg",

year = "2013",

language = "English",

isbn = "9781904670520",

volume = "9 DS75-09",

series = "International Conference on Engineering Design",

publisher = "DESIGN SOC",

pages = "247--256",

editor = "U Lindemann and Srinivasan and YS Kim and SW Lee and P Papalambros and W Chen",

booktitle = "Proceedings of the International Conference on Engineering Design, ICED",

note = "International Conference on Engineering Design, ICED ; Conference date: 19-08-2013 Through 22-08-2013",

}

Otto, K, Levandowski, C, Forslund, A, Johannesson, H & Söderberg, R 2013, Uncertainty modeling to enable software development platforms that can automate complex mechanical systems design. in U Lindemann, Srinivasan, YS Kim, SW Lee, P Papalambros & W Chen (eds), Proceedings of the International Conference on Engineering Design, ICED. vol. 9 DS75-09, International Conference on Engineering Design, pp. 247-256, International Conference on Engineering Design, Seoul, Korea, Republic of, 19/08/2013.

Uncertainty modeling to enable software development platforms that can automate complex mechanical systems design. / Otto, Kevin; Levandowski, Christoffer ; Forslund, Anders et al.
Proceedings of the International Conference on Engineering Design, ICED. ed. / U Lindemann; Srinivasan; YS Kim; SW Lee; P Papalambros; W Chen. Vol. 9 DS75-09 2013. p. 247-256 (International Conference on Engineering Design).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Uncertainty modeling to enable software development platforms that can automate complex mechanical systems design

AU - Otto, Kevin

AU - Levandowski, Christoffer

AU - Forslund, Anders

AU - Johannesson, Hans

AU - Söderberg, Rikard

N1 - Conference code: 19

PY - 2013

Y1 - 2013

N2 - Development platforms are automated software tools used to synthesize new designs. They are prevalent in the embedded system design domain, with applications ranging from integrated circuits, circuit boards, electro-mechanical controls, and entire networked systems. Historically, this has enabled rapid and error-free design of very complex embedded software and electronics hardware, even those that control mechanical systems such as aerospace and automotive controls through automation of the design process. The state of mechanical design automation has far less commercial adoption or industrial demonstration of development platforms in mechanical design. This paper elaborates on what challenges mechanical design automation faces to reach the level of design automation in the embeded systems domain. Given a design library approach, it is concluded that uncertainty management is a key issue for future research, including model uncertainty for mechanical design modeling. These issues are then contextualized using a case from the aerospace industy.

AB - Development platforms are automated software tools used to synthesize new designs. They are prevalent in the embedded system design domain, with applications ranging from integrated circuits, circuit boards, electro-mechanical controls, and entire networked systems. Historically, this has enabled rapid and error-free design of very complex embedded software and electronics hardware, even those that control mechanical systems such as aerospace and automotive controls through automation of the design process. The state of mechanical design automation has far less commercial adoption or industrial demonstration of development platforms in mechanical design. This paper elaborates on what challenges mechanical design automation faces to reach the level of design automation in the embeded systems domain. Given a design library approach, it is concluded that uncertainty management is a key issue for future research, including model uncertainty for mechanical design modeling. These issues are then contextualized using a case from the aerospace industy.

KW - Computational design synthesis

KW - Design automation

KW - Product modelling

KW - Simulation

KW - Uncertainty management

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M3 - Conference article in proceedings

SN - 9781904670520

VL - 9 DS75-09

T3 - International Conference on Engineering Design

SP - 247

EP - 256

BT - Proceedings of the International Conference on Engineering Design, ICED

A2 - Lindemann, U

A2 - Srinivasan, null

A2 - Kim, YS

A2 - Lee, SW

A2 - Papalambros, P

A2 - Chen, W

T2 - International Conference on Engineering Design

Y2 - 19 August 2013 through 22 August 2013

ER -

Otto K, Levandowski C, Forslund A, Johannesson H, Söderberg R. Uncertainty modeling to enable software development platforms that can automate complex mechanical systems design. In Lindemann U, Srinivasan, Kim YS, Lee SW, Papalambros P, Chen W, editors, Proceedings of the International Conference on Engineering Design, ICED. Vol. 9 DS75-09. 2013. p. 247-256. (International Conference on Engineering Design).

Uncertainty modeling to enable software development platforms that can automate complex mechanical systems design

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Publication series

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Keywords

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