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  • 1.
    Amouzgar, Kaveh
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Bandaru, Sunith
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Andersson, Tobias J.
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Ng, Amos H. C.
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Metamodel based multi-objective optimization of a turning process by using finite element simulation2019In: ACM Transactions on Software Engineering and Methodology, ISSN 1049-331X, E-ISSN 1557-7392Article in journal (Refereed)
    Abstract [en]

    This study investigates the advantages and potentials of the metamodelbased multi-objective optimization (MOO) of a turning operation through the application of finite element simulations and evolutionary algorithms to a metal cutting process. The objectives are minimizing the interface temperature and tool wear depth obtained from FE simulations using DEFORM2D software, and maximizing the material removal rate. Tool geometry and process parameters are considered as the input variables. Seven metamodelling methods are employed and evaluated, based on accuracy and suitability. Radial basis functions with a priori bias and Kriging are chosen to model tool–chip interface temperature and tool wear depth, respectively. The non-dominated solutions are found using the strength Pareto evolutionary algorithm SPEA2 and compared with the non-dominated front obtained from pure simulation-based MOO. The metamodel-based MOO method is not only advantageous in terms of reducing the computational time by 70%, but is also able to discover 31 new non-dominated solutions over simulation-based MOO.

  • 2.
    Mattsson, Anders
    et al.
    Combitech AB, Sweden and University of Limerick, Ireland.
    Fitzgerald, Brian
    Univ Limerick, Lero Irish Software Engn Res Ctr, Limerick, Ireland .
    Lundell, Björn
    University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre. University of Limerick, Ireland.
    Lings, Brian
    University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre.
    An Approach for Modeling Architectural Design Rules in UML and its Application to Embedded Software2012In: ACM Transactions on Software Engineering and Methodology, ISSN 1049-331X, E-ISSN 1557-7392, Vol. 21, no 2, article id Article 10Article in journal (Refereed)
    Abstract [en]

    Current techniques for modeling software architecture do not provide sufficient support for modeling architectural design rules. This is a problem in the context of model-driven development in which it is assumed that major design artifacts are represented as formal or semi-formal models. This article addresses this problem by presenting an approach to modeling architectural design rules in UML at the abstraction level of the meaning of the rules. The high abstraction level and the use of UML makes the rules both amenable to automation and easy to understand for both architects and developers, which is crucial to deployment in an organization. To provide a proof-of-concept, a tool was developed that validates a system model against the architectural rules in a separate UML model. To demonstrate the feasibility of the approach, the architectural design rules of an existing live industrial-strength system were modeled according to the approach.

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