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Design Automation for Multidisciplinary Optimization: A High Level CAD Template Approach
Linköping University, Department of Management and Engineering, Machine Design. Linköping University, The Institute of Technology.
2012 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

In the design of complex engineering products it is essential to handle cross-couplings and synergies between subsystems. An emerging technique, which has the potential to considerably improve the design process, is multidisciplinary design optimization (MDO).

MDO requires a concurrent and parametric design framework. Powerful tools in the quest for such frameworks are design automation (DA) and knowledge based engineering (KBE). The knowledge required is captured and stored as rules and facts to finally be triggered upon request. A crucial challenge is how and what type of knowledge should be stored in order to realize generic DA frameworks.

In the endeavor to address the mentioned challenges, this thesis proposes High Level CAD templates (HLCts) for geometry manipulation and High Level Analysis templates (HLAts) for concept evaluations. The proposed methods facilitate modular concept generation and evaluation, where the modules are first assembled and then evaluated automatically. The basics can be compared to parametric LEGO® blocks containing a set of design and analysis parameters. These are produced and stored in databases, giving engineers or a computer agent the possibility to first select and place out the blocks and then modify the shape of the concept parametrically, to finally analyze it. The depicted methods are based on physic-based models, meaning less design space restrictions compared to empirical models.

A consequence of physic-based models is more time-consuming evaluations, reducing the probability of effective implementation in an iterative intensive MDO. To reduce the evaluation time, metamodels are used for faster approximations. Their implementation, however, is not without complications. Acquiring accurate metamodels requires a non-negligible investment in terms of design space samplings. The challenge is to keep the required sampling level as low as possible.

It will be further elaborated that many automated concurrent engineering platforms have failed because of incorrect balance between automation and manual operations. Hence, it is necessary to find an equilibrium that maximizes the efficiency of DA and MDO.

To verify the validity of the presented methods, three application examples are presented and evaluated. These are derived from industry and serve as test cases for the proposed methods.

Abstract [sv]

Vid utvecklingen av komplexa och tätt integrerade maskintekniska produkter är det viktigt att hantera gränsöverskridande kopplingar och synergier mellan olika delsystem. En ny teknik, som har potential att drastiskt förbättra konstruktionsprocessen, är multidisciplinär design optimering (MDO).

En MDO process kräver ett integrerat och parametrisk konstruktionsramverk. I detta syfte är design automation (DA) och knowledge based engineering (KBE) lovande tekniker för att stödja parametriska konstruktionsramverk. En avgörande utmaning ligger i hur och vilken typ av kunskap som bör förvaras för att förverkliga en generell DA ramverk.

Därför föreslås high level CAD template (HLCT) för geometri manipulation och high level Analysis template (HLAt) för koncept utvärderingar. Detta gör att användaren kan bygga modeller i mindre moduler som sedan monteras och utvärderas automatiskt. Grunderna kan jämföras med parametriska LEGO ® block som innehåller en uppsättning av design och analys parametrar. Dessa produceras och lagras i databaser, vilket ger ingenjörer eller en datoragent möjligheten att först välja och placera ut blocken och sedan ändra formen på dem parametriskt, för att slutligen analysera produkten. Metoderna är baserade på fysikbaserade modeller, vilket innebär mindre begränsningar jämfört med empiriska modeller.

Nackdelen med fysikbaserade modeller är tidskrävande utvärderingar, vilket gör genomförandet av dem i en iterativintensiv MDO opraktisk. För att minska utvärderingstiden införs metamodeller för snabbare approximationer. Att implementera metamodeller är dock inte utan komplikationer. Metamodeller kräver en icke försumbar investering i form av utvärderingar av fysikbaserade modeller för att nå en acceptabel approximation. Utmaningen är att hålla nivån på antalet iterationer så låg som möjligt.

Det kommer att redogöras att många samtidiga DA plattformar har misslyckats på grund av felaktig uppskattning gällande balansen mellan manuella och automatiserade operationer. Det är ytterst nödvändigt att hitta rätt balans för att maximera effektiviteten av DA och MDO.

För att verifiera giltigheten av de presenterade metoderna används tre applikationsexempel från industrin.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2012. , 100 p.
Series
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 1479
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-81880ISBN: 978-91-7519-790-6 (print)OAI: oai:DiVA.org:liu-81880DiVA: diva2:556208
Public defence
2012-10-19, ACAS, Campus Valla, Linköpings universitet, Linköping, 10:15 (English)
Opponent
Supervisors
Available from: 2012-09-24 Created: 2012-09-24 Last updated: 2012-09-26Bibliographically approved
List of papers
1. Design Automation of Modular Industrial Robots
Open this publication in new window or tab >>Design Automation of Modular Industrial Robots
2009 (English)In: ASME CIE09, San Diego, USA, Sep. 2009, 2009, 655-664 p.Conference paper, Published paper (Other academic)
Abstract [en]

This paper presents a novel approach for designing modular robots. There are two main components in this approach namely the modeling methodology of the robot and a framework for simulation of the models and execution of an optimization process.

To illustrate the presented methodology an integrated analysis tool for an industrial robot is developed combining dynamic and geometric models in a parametric design approach. An optimization case is conducted to visualize the automation capabilities of the proposed framework, and enhance the design for modular industrial robots.

National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-52472 (URN)10.1115/DETC2009-87271 (DOI)978-0-7918-4899-9 (ISBN)978-0-7918-3856-3 (ISBN)
Conference
ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE2009; San Diego, CA; United States
Available from: 2009-12-22 Created: 2009-12-22 Last updated: 2014-10-02Bibliographically approved
2. Product Platform Automation for Optimal Configuration of Industrial Robot Families
Open this publication in new window or tab >>Product Platform Automation for Optimal Configuration of Industrial Robot Families
2011 (English)In: Proceedings of the 18th International Conference on Engineering Design (ICED11), Vol. 4, 2011, 1-10 p.Conference paper, Published paper (Refereed)
Abstract [en]

Product platform design is a well recognized methodology to effectively increase range and variety of products and simultaneously decrease internal variety of components by utilizing modularization. The tradeoff between product performance and product family commonality has to be carefully balanced in order to for the company to meet market requirements and simultaneously obtain economy of scale. This paper presents a framework based on high fidelity analyses tools that concurrently optimize an industrial robot family as well as the common platform. The product family design problem is formally stated as a multi-objective optimization problem, which is solved using a multi-objective Genetic Algorithm.

National Category
Other Mechanical Engineering
Identifiers
urn:nbn:se:liu:diva-71788 (URN)
Conference
18th International Conference on Engineering Design (ICED11), August 15-18, Copenhagen, Denmark
Available from: 2011-11-04 Created: 2011-11-04 Last updated: 2012-09-24Bibliographically approved
3. Flexible and Robust CAD Models for Design Automation
Open this publication in new window or tab >>Flexible and Robust CAD Models for Design Automation
2012 (English)In: Advanced Engineering Informatics, ISSN 1474-0346, E-ISSN 1873-5320, Vol. 26, no 2, 180-195 p.Article in journal (Refereed) Published
Abstract [en]

This paper explores novel methodologies for enabling Multidisciplinary Design Optimization (MDO) of complex engineering products. To realize MDO, Knowledge Based Engineering (KBE) is adopted with the aim of achieving design reuse and automation. The aim of the on-going research at Linköping University is to shift from manual modelling of disposable geometries to Computer Aided Design (CAD) automation by introducing generic high-level geometry templates. Instead of repeatedly modelling similar instances of objects, engineers should be able to create more general models that can represent entire classes of objects. The proposed methodology enables utilization of commercial design tools, hence taking industrial feasibility into consideration. High Level CAD templates (HLCt) will be proposed and discussed as the building blocks of flexible and robust CAD models, which in turn enables high-fidelity geometry in the MDO loop. Quantification of the terms flexibility and robustness is also presented, providing a means to measure the quality of the geometry models. Finally, application examples are presented in which the outlined framework is evaluated. The applications have been chosen from three ongoing research projects aimed at automating the design of transport aircraft, industrial robots, and micro air vehicles.

Keyword
Design automation, Multidisciplinary Design Optimization, Robustness, Flexibility, Knowledge-Based Engineering
National Category
Mechanical Engineering
Identifiers
urn:nbn:se:liu:diva-73108 (URN)10.1016/j.aei.2012.01.004 (DOI)000308122400003 ()
Available from: 2011-12-16 Created: 2011-12-16 Last updated: 2017-12-08Bibliographically approved
4. Multidisciplinary Design Optimization of Modular Industrial Robots by Utilizing High Level CAD templates
Open this publication in new window or tab >>Multidisciplinary Design Optimization of Modular Industrial Robots by Utilizing High Level CAD templates
2012 (English)In: Journal of mechanical design (1990), ISSN 1050-0472, E-ISSN 1528-9001, Vol. 134, no 12Article in journal (Refereed) Published
Abstract [en]

This paper presents a multidisciplinary design optimization (MDO) framework for automated design of a modular industrial robot. The developed design framework seamlessly integrates High Level CAD templates (HLCt) and physics based high fidelity models for automated geometry manipulation, dynamic simulation, and structural strengthanalysis. In the developed framework, methods such as surrogate models and multilevel optimization are employed in order to speed up the design optimization process. This work demonstrates how a parametric geometric model, based on the concept of HLCt, enables a multidisciplinary framework for multi-objective optimization of a modular industrial robot, which constitutes an example of a complex heterogeneous system.

Place, publisher, year, edition, pages
American Society of Mechanic, 2012
National Category
Other Mechanical Engineering
Identifiers
urn:nbn:se:liu:diva-81878 (URN)10.1115/1.4007697 (DOI)
Note

On the day of the defence day the status of this article was: Manuscript

Available from: 2012-09-24 Created: 2012-09-24 Last updated: 2017-12-07Bibliographically approved
5. Metamodel Based Design Automation – Applied on Multidisciplinary Design Optimization of Industrial Robots
Open this publication in new window or tab >>Metamodel Based Design Automation – Applied on Multidisciplinary Design Optimization of Industrial Robots
2012 (English)In: Proceedings of the ASME InternationalDesign Engineering Technical Conferences & Computers and information in Engineering Conference,Washington, USA, Aug 2012, 2012, 833-845 p.Conference paper, Published paper (Other academic)
Abstract [en]

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.

National Category
Other Mechanical Engineering
Identifiers
urn:nbn:se:liu:diva-81879 (URN)10.1115/DETC2012-70867 (DOI)978-0-7918-4502-8 (ISBN)
Conference
ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC/CIE2012), August 12-15, Chicago, USA
Available from: 2012-09-24 Created: 2012-09-24 Last updated: 2014-11-10Bibliographically approved

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