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Sunnersjö, Staffan
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Publications (10 of 54) Show all publications
Sunnersjö, S. (2016). Intelligent Computer Systems in Engineering Design: Principles and Applications (1ed.). Cham: Springer
Open this publication in new window or tab >>Intelligent Computer Systems in Engineering Design: Principles and Applications
2016 (English)Book (Other academic)
Abstract [en]

This introductory book discusses how to plan and build useful, reliable, maintainable and cost efficient computer systems for automated engineering design. The book takes a user perspective and seeks to bridge the gap between texts on principles of computer science and the user manuals for commercial design automation software. The approach taken is top-down, following the path from definition of the design task and clarification of the relevant design knowledge to the development of an operational system well adapted for its purpose. This introductory text for the practicing engineer working in industry covers most vital aspects of planning such a system. Experiences from applications of automated design systems in practice are reviewed based on a large number of real, industrial cases. The principles behind the most popular methods in design automation are presented with sufficient rigour to give the user confidence in applying them on real industrial problems. This book is also suited for a half semester course at graduate level and has been complemented by suggestions for student assignments grown out of the lecture notes of two postgraduate courses given annually or biannually during the last ten years at the Product development program at the School of Engineering at Jönköping University.

Place, publisher, year, edition, pages
Cham: Springer, 2016. p. 156 Edition: 1
Series
Studies in Systems, Decision and Control, E-ISSN 2198-4182 ; 51
Keywords
Automated Engineering Design Computer-aided Design Methods Design Automation Engineering Design Intelligent Computer Systems
National Category
Production Engineering, Human Work Science and Ergonomics Computer and Information Sciences
Identifiers
urn:nbn:se:hj:diva-37408 (URN)9783319281254 (ISBN)9783319281230 (ISBN)
Available from: 2017-09-26 Created: 2017-09-26 Last updated: 2018-01-13Bibliographically approved
Rask, I. & Sunnersjö, S. (2012). Example 7.13 Alfa Laval AB Heat Exchanger Design. In: Eppinger, S, Browning, T (Ed.), Design structure matrix methods and applications (pp. 216-221). London, England: MIT Press
Open this publication in new window or tab >>Example 7.13 Alfa Laval AB Heat Exchanger Design
2012 (English)In: Design structure matrix methods and applications / [ed] Eppinger, S, Browning, T, London, England: MIT Press, 2012, p. 216-221Chapter in book (Refereed)
Place, publisher, year, edition, pages
London, England: MIT Press, 2012
Keywords
Machine design, product development
National Category
Other Mechanical Engineering
Identifiers
urn:nbn:se:hj:diva-19406 (URN)978-0-262-01752-7 (ISBN)
Available from: 2012-09-12 Created: 2012-09-12 Last updated: 2012-09-12Bibliographically approved
Sunnersjö, S. (2012). Planning design automation systems for product families: A coherent top-down approach. Paper presented at Design 2012, Dubrovnic, Croatia.
Open this publication in new window or tab >>Planning design automation systems for product families: A coherent top-down approach
2012 (English)Conference paper, Oral presentation only (Refereed)
National Category
Mechanical Engineering
Identifiers
urn:nbn:se:hj:diva-18497 (URN)
Conference
Design 2012, Dubrovnic, Croatia
Available from: 2012-07-13 Created: 2012-06-16 Last updated: 2012-07-13Bibliographically approved
Sunnersjö, S. (2009). An experimental study of aspects of engineering knowledge used in engineering design: A design automation perspective. In: NordPLM´09, Göteborg 28-29 januari 2009. Göteborg: Chalmers tekniska högskola
Open this publication in new window or tab >>An experimental study of aspects of engineering knowledge used in engineering design: A design automation perspective
2009 (English)In: NordPLM´09, Göteborg 28-29 januari 2009, Göteborg: Chalmers tekniska högskola , 2009Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
Göteborg: Chalmers tekniska högskola, 2009
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:hj:diva-6605 (URN)
Available from: 2008-10-23 Created: 2008-10-23 Last updated: 2010-01-07Bibliographically approved
Elgh, F. & Sunnersjö, S. (2009). An Ontology Approach to Collaborative Engineering for Producibility. In: Ned F Kock (Ed.), E-Collaboration: Concepts, Methodologies, Tools, and Applications (pp. 1000-1019). Hershey/New York: Information Science Reference
Open this publication in new window or tab >>An Ontology Approach to Collaborative Engineering for Producibility
2009 (English)In: E-Collaboration: Concepts, Methodologies, Tools, and Applications / [ed] Ned F Kock, Hershey/New York: Information Science Reference , 2009, p. 1000-1019Chapter in book (Other (popular science, discussion, etc.))
Place, publisher, year, edition, pages
Hershey/New York: Information Science Reference, 2009
Identifiers
urn:nbn:se:hj:diva-10610 (URN)978-1-60566-652-5 (ISBN)
Note
Reprint from the International Journal of e-CollaborationAvailable from: 2009-10-12 Created: 2009-10-12 Last updated: 2010-04-13Bibliographically approved
Elgh, F. & Sunnersjö, S. (2009). Collaborative Engineering for Enhanced Producibility by Ontology-based Integration of Design and Production. In: Virtual Team Leadership and Collaborative Engineering Advancements: Contemporary Issues and Implications. Hershey: Information Science Reference
Open this publication in new window or tab >>Collaborative Engineering for Enhanced Producibility by Ontology-based Integration of Design and Production
2009 (English)In: Virtual Team Leadership and Collaborative Engineering Advancements: Contemporary Issues and Implications, Hershey: Information Science Reference , 2009Chapter in book (Refereed)
Abstract [en]

Many companies base their business strategy on customized products with a high level of variety and continuous functional improvements. For companies to be able to provide affordable products in a short time and be at the competitive edge, every new design must be adapted to existing production facilities. In order to ensure this, collaboration between engineering design and production engineering has to be supported. With the dispersed organisations of today combined with the increasing amount of information that has to be shared and managed, this collaboration is a critical issue for many companies.

In this article, an approach for sharing and managing product and production information is introduced. The results are based on the experiences from a case study at a car manufacturer. By ontology-based integration, work within domains engineering design, production engineering and requirement management at the company was integrated. The main objectives with the integration were: support the formation of requirement specifications for products and processes, improve and simplify the information retrieval for designers and process planners, ensure traceability from changes in product systems to manufacturing systems and vice versa, and finally, eliminate redundant or multiple versions of requirement specifications.

Place, publisher, year, edition, pages
Hershey: Information Science Reference, 2009
Series
Advances in E-Collaboration (AECOB) Book Series, ISSN 1935-2883
Keywords
Manufacturing Requirements, Requirement Management, Ontology, Information Model, Functional Modelling, Collaborative Engineering, Producibility
Identifiers
urn:nbn:se:hj:diva-5678 (URN)978-1-60566-110-0 (ISBN)
Available from: 2008-06-05 Created: 2008-06-05 Last updated: 2009-11-09Bibliographically approved
Elgh, F. & Sunnersjö, S. (2007). An Ontology Approach To Collaborative Engineering For Producibility. International Journal of e-collaboration, 3(4), 21-45
Open this publication in new window or tab >>An Ontology Approach To Collaborative Engineering For Producibility
2007 (English)In: International Journal of e-collaboration, ISSN 1548-3673, E-ISSN 1548-3681, Vol. 3, no 4, p. 21-45Article in journal (Refereed) Published
Abstract [en]

With today’s high product variety and shorter life cycles in automobile manufacturing, every new car design must be adapted to existing production facilities so that these facilities can be used for the manufacturing of several car models. In order to ensure this, collaboration between engineering design and production engineering has to be supported. Sharing information is at the core of collaborative engineering. By implementing an ontology approach, work within domains requirement management, engineering design and production engineering can be integrated. An ontology approach, based on an information model implemented in a computer tool, supports work in the different domains and their collaboration. The main objectives of the proposed approach are: supporting the formation of requirement specifications for products and processes, improved and simplified information retrieval for designers and process planners, forward traceability from changes in product systems to manufacturing systems, backward traceability from changes in manufacturing system to product systems, and the elimination of redundant or multiple versions of requirement specifications by simplifying the updating and maintenance of the information.

Keywords
Manufacturing Requirements, Requirement Management, Ontology, Information Modelling, Functional Modelling, Collaborative Engineering, Information System.
Identifiers
urn:nbn:se:hj:diva-3405 (URN)
Available from: 2007-09-21 Created: 2007-09-21 Last updated: 2017-12-12Bibliographically approved
Sunnersjö, S., Cederfeldt, M., Elgh, F. & Rask, I. (2006). A Transparent Design System for Iterative Product Development. Journal of Computing and Information Science in Engineering, 6(3), 300-307
Open this publication in new window or tab >>A Transparent Design System for Iterative Product Development
2006 (English)In: Journal of Computing and Information Science in Engineering, ISSN 1530-9827, E-ISSN 1944-7078, Vol. 6, no 3, p. 300-307Article in journal (Refereed) Published
Abstract [en]

Automated systems for variant design can be used for design iterations in order to guide the designer towards solutions that are optimized with respect to weight, cost, lead time, or other vital properties. In this work such a system for computational design problems is presented together with examples of its application. The system performs design computations, computed aided design model configuration, production process planning, and cost estimation. The design rules and algorithms are captured in knowledge "chunks," which are human readable as well as computer executable. The workflow governing the execution of these rules and algorithms is created using a dependency structure matrix (DSM) which is included in the system. Particular attention has been given to the need for transparency, modularity, and longevity of the system, which is a prerequisite for such a system to become a viable tool in industrial applications. Experiences from the proposed system indicate that the DSM workflow manager in combination with a human readable and modularized knowledge base provides clarity and transparency for both developer and user of the system.

National Category
Engineering and Technology
Identifiers
urn:nbn:se:hj:diva-6109 (URN)10.1115/1.2218363 (DOI)
Available from: 2007-08-03 Created: 2007-08-03 Last updated: 2017-12-12Bibliographically approved
Johansson, J. & Sunnersjö, S. (2006). Automated design of rotary draw bending tools: an approach based on generic CAD-models driven by heuristic and algorithmic knowledge. In: International conference on efficient development of manufacturing machines and processes, 2006, Wroclaw, Poland: .
Open this publication in new window or tab >>Automated design of rotary draw bending tools: an approach based on generic CAD-models driven by heuristic and algorithmic knowledge
2006 (English)In: International conference on efficient development of manufacturing machines and processes, 2006, Wroclaw, Poland, 2006Conference paper, Published paper (Refereed)
Abstract [en]

For parts suppliers in the manufacturing industry the process of preliminary production preparation and subsequent calculation of offers are critical business activities. A vital part of production preparation is the design of fixtures and tooling necessary for many processes of metal forming. For a company to give quick responses to customer enquiries, or changes in prior specifications, it would be highly beneficial with a degree of automation in this design process. This implies the development of a computer based system able to capture existing design procedures and associated knowledge for the classes of tooling required for the forming process.

In this work we exemplify an automated design system for tooling by an implementation for rotary draw bending of aluminium tubing. The system is based on established design practice and heuristic knowledge developed over many years of practical experience. The system will evaluate whether a given specification is producible with existing materials and equipment, select suitable machine, determine process parameters and determine type and dimensions of components of form die, clamp die, follower or pressure die, wiper and mandrel. The system is built on readily available commercial software packages. When building a system of this kind it is essential that the knowledge documentation and structure is such that the functions of the system can be easily understood by the users of the system and by future developers. Aspects of user friendliness, transparency and scalability are addressed in the summary of this paper.

Keywords
Design Automation, Rotary Draw Bending, Knowledge acquisition, CATIA V5
National Category
Other Mechanical Engineering
Identifiers
urn:nbn:se:hj:diva-4804 (URN)
Available from: 2007-12-13 Created: 2007-12-13 Last updated: 2011-05-16Bibliographically approved
Elgh, F. & Sunnersjö, S. (2006). Ontology Based Management of Designer's Guidelines for Motorcar Manufacture. In: Challenges in collaborative engineering CCE’06 - State of the Art and Future Challenges in Collaborative Design: Proceedings of the 4th International Workshop on Challenges in Collaborative Engineering, April 19 - 21, 2006, Prague, Czech Republic (pp. 71-83). Jönköping: Department of Computer & Electrical Engineering, School of Engineering
Open this publication in new window or tab >>Ontology Based Management of Designer's Guidelines for Motorcar Manufacture
2006 (English)In: Challenges in collaborative engineering CCE’06 - State of the Art and Future Challenges in Collaborative Design: Proceedings of the 4th International Workshop on Challenges in Collaborative Engineering, April 19 - 21, 2006, Prague, Czech Republic, Jönköping: Department of Computer & Electrical Engineering, School of Engineering , 2006, p. 71-83Conference paper, Published paper (Refereed)
Abstract [en]

With today’s high product variety and shorter life cycles in motor car manufacture, every new car design must be adapted to existing production facilities so that these can be used for several car models. Sharing information is at the core of collaborative engineering. With an ontology approach, the work within the domains requirement management, engineering design and production engineering can be integrated. An ontology approach based on an information model implemented in a computer tool supports the work in the different domains and their collaboration. In our work we make use of the existing structures and link those using appropriately named links. We also propose the introduction of a new structure describing the generic functions of the manufacturing system, MSF. This tree structure is a suitable tool to link product related objects to their associated production equipment at varying levels of detail. The manufacturing requirements are modelled using a concept for the definition of the requirement content, called Manufacturing Requirement (MR). To enable the MR to cover different ranges and levels, and enhance the maintenance of the system integrity, the concept of Requirement Object is introduced. The RO is used to collect the instances for which a specific MR is valid. We also use the rule inference facility to reduce the number of explicitly defined relations.

Place, publisher, year, edition, pages
Jönköping: Department of Computer & Electrical Engineering, School of Engineering, 2006
Keywords
Manufacturing Requirements, Requirement Management, Ontology, Information Modelling, Functional Modelling, Information System
Identifiers
urn:nbn:se:hj:diva-6104 (URN)91-975604-3-X (ISBN)
Available from: 2007-12-13 Created: 2007-12-13Bibliographically approved
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