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  • 1.
    Amouzgar, Kaveh
    et al.
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Produktutveckling. Högskolan i Jönköping, Tekniska Högskolan, JTH. Forskningsmiljö Produktutveckling - Simulering och optimering.
    Cenanovic, Mirza
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Produktutveckling. Högskolan i Jönköping, Tekniska Högskolan, JTH. Forskningsmiljö Produktutveckling - Simulering och optimering.
    Salomonsson, Kent
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Produktutveckling. Högskolan i Jönköping, Tekniska Högskolan, JTH. Forskningsmiljö Produktutveckling - Simulering och optimering.
    Multi-objective optimization of material model parameters of an adhesive layer by using SPEA22015Ingår i: Advances in structural and multidisciplinary optimization: Proceedings of the 11th World Congress of Structural and Multidisciplinary Optimization (WCSMO-11) / [ed] Qing Li, Grant P Steven, Zhongpu (Leo) Zhang, The International Society for Structural and Multidisciplinary Optimization (ISSMO) , 2015, s. 249-254Konferensbidrag (Refereegranskat)
    Abstract [en]

    The usage of multi material structures in industry, especially in the automotive industry are increasing. To overcome the difficulties in joining these structures, adhesives have several benefits over traditional joining methods. Therefore, accurate simulations of the entire process of fracture including the adhesive layer is crucial. In this paper, material parameters of a previously developed meso mechanical finite element (FE) model of a thin adhesive layer are optimized using the Strength Pareto Evolutionary Algorithm (SPEA2). Objective functions are defined as the error between experimental data and simulation data. The experimental data is provided by previously performed experiments where an adhesive layer was loaded in monotonically increasing peel and shear. Two objective functions are dependent on 9 model parameters (decision variables) in total and are evaluated by running two FEsimulations, one is loading the adhesive layer in peel and the other in shear. The original study converted the two objective functions into one function that resulted in one optimal solution. In this study, however, a Pareto frontis obtained by employing the SPEA2 algorithm. Thus, more insight into the material model, objective functions, optimal solutions and decision space is acquired using the Pareto front. We compare the results and show good agreement with the experimental data.

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  • 2.
    Arjomandi Rad, Mohamma
    et al.
    Department of Industrial and Materials Science, Chalmers University of Technology, Göteborg, Sweden.
    Cenanovic, Mirza
    Jönköping University, Tekniska Högskolan, JTH, Industriell produktutveckling, produktion och design, JTH, Produktionsutveckling. Jönköping University, Tekniska Högskolan, JTH, Industriell produktutveckling, produktion och design, JTH, Konstruktion och produktutveckling.
    Salomonsson, Kent
    School of Engineering Science, University of Skövde, Skövde, Sweden.
    Image regression-based digital qualification for simulation-driven design processes, case study on curtain airbag2023Ingår i: Journal of engineering design (Print), ISSN 0954-4828, E-ISSN 1466-1837, Vol. 34, nr 1, s. 1-22Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Today digital qualification tools are part of many design processes that make them dependent on long and expensive simulations, leading to limited ability in exploring design alternatives. Conventional surrogate modelling techniques depend on the parametric models and come short in addressing radical design changes. Existing data-driven models lack the ability in dealing with the geometrical complexities. Thus, to address the resulting long development lead time problem in the product development processes and to enable parameter-independent surrogate modelling, this paper proposes a method to use images as input for design evaluation. Using a case study on the curtain airbag design process, a database consisting of 60,000 configurations has been created and labelled using a method based on dynamic relaxation instead of finite element methods. The database is made available online for research benchmark purposes. A convolutional neural network with multiple layers is employed to map the input images to the simulation output. It was concluded that the showcased data-driven method could reduce digital testing and qualification time significantly and contribute to real-time analysis in product development. Designers can utilise images of geometrical information to build real-time prediction models with acceptable accuracy in the early conceptual phases for design space exploration purposes.

  • 3.
    Arjomandi Rad, Mohammad
    et al.
    Jönköping University, Tekniska Högskolan, JTH, Industriell produktutveckling, produktion och design, JTH, Konstruktion och produktutveckling.
    Cenanovic, Mirza
    Jönköping University, Tekniska Högskolan, JTH, Industriell produktutveckling, produktion och design, JTH, Konstruktion och produktutveckling. Jönköping University, Tekniska Högskolan, JTH, Industriell produktutveckling, produktion och design, JTH, Produktionsutveckling.
    Salomonsson, Kent
    Jönköping University, Tekniska Högskolan, JTH, Industriell produktutveckling, produktion och design, JTH, Produktionsutveckling.
    A CAD-based image regression database enabling real-time prediction early in the design process, a case study on the airbag design processManuskript (preprint) (Övrigt vetenskapligt)
  • 4.
    Arjomandi Rad, Mohammad
    et al.
    Jönköping University, Tekniska Högskolan, JTH, Industriell produktutveckling, produktion och design, JTH, Konstruktion och produktutveckling.
    Salomonsson, K.
    Department of Mechanical Engineering, School of Engineering Science, University of Skövde, Skövde, Sweden.
    Cenanovic, Mirza
    Jönköping University, Tekniska Högskolan, JTH, Industriell produktutveckling, produktion och design, JTH, Produktionsutveckling.
    Balague, H.
    Autoliv AB, Vårgårda, Sweden.
    Raudberget, Dag
    Jönköping University, Tekniska Högskolan, JTH, Industriell produktutveckling, produktion och design, JTH, Produktionsutveckling. Jönköping University, Tekniska Högskolan, JTH, Industriell produktutveckling, produktion och design, JTH, Konstruktion och produktutveckling.
    Stolt, Roland
    Jönköping University, Tekniska Högskolan, JTH, Industriell produktutveckling, produktion och design, JTH, Konstruktion och produktutveckling.
    Correlation-based feature extraction from computer-aided design, case study on curtain airbags design2022Ingår i: Computers in industry (Print), ISSN 0166-3615, E-ISSN 1872-6194, Vol. 138, artikel-id 103634Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Many high-level technical products are associated with changing requirements, drastic design changes, lack of design information, and uncertainties in input variables which makes their design process iterative and simulation-driven. Regression models have been proven to be useful tools during design, altering the resource-intensive finite element simulation models. However, building regression models from computer-aided design (CAD) parameters is associated with challenges such as dealing with too many parameters and their low or coupled impact on studied outputs which ultimately requires a large training dataset. As a solution, extraction of hidden features from CAD is presented on the application of volume simulation of curtain airbags concerning geometric changes in design loops. After creating a prototype that covers all aspects of a real curtain airbag, its CAD parameters have been analyzed to find out the correlation between design parameters and volume as output. Next, using the design of the experiment latin hypercube sampling method, 100 design samples are generated and the corresponding volume for each design sample was assessed. It was shown that selected CAD parameters are not highly correlated with the volume which consequently lowers the accuracy of prediction models. Various geometric entities, such as the medial axis, are used to extract several hidden features (referred to as sleeping parameters). The correlation of the new features and their performance and precision through two regression analyses are studied. The result shows that choosing sleeping parameters as input reduces dimensionality and the need to use advanced regression algorithms, allowing designers to have more accurate predictions (in this case approximately 95%) with a reasonable number of samples. Furthermore, it was concluded that using sleeping parameters in regression-based tools creates real-time prediction ability in the early development stage of the design process which could contribute to lower development lead time by eliminating design iterations.

  • 5.
    Cenanovic, Mirza
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Produktutveckling. Högskolan i Jönköping, Tekniska Högskolan, JTH. Forskningsmiljö Produktutveckling - Simulering och optimering.
    Finite element methods for surface problems2017Doktorsavhandling, sammanläggning (Övrigt vetenskapligt)
    Abstract [en]

    The purpose of this thesis is to further develop numerical methods for solving surface problems by utilizing tangential calculus and the trace finite element method. Direct computation on the surface is possible by the use of tangential calculus, in contrast to the classical approach of mapping 2D parametric surfaces to 3D surfaces by means of differential geometry operators. Using tangential calculus, the problem formulation is only dependent on the position and normal vectors of the 3D surface. Tangential calculus thus enables a clean, simple and inexpensive formulation and implementation of finite element methods for surface problems. Meshing techniques are greatly simplified from the end-user perspective by utilizing an unfitted finite element method called the Trace Finite Element Method, in which the basic idea is to embed the surface in a higher dimensional mesh and use the shape functions of this background mesh for the discretization of the partial differential equation. This method makes it possible to model surfaces implicitly and solve surface problems without the need for expensive meshing/re-meshing techniques especially for moving surfaces or surfaces embedded in 3D solids, so called embedded interface problems. Using these two approaches, numerical methods for solving three surface problems are proposed: 1) minimal surface problems, in which the form that minimizes the mean curvature was computed by iterative update of a level-set function discretized using TraceFEM and driven by advection, for which the velocity field was given by the mean curvature flow, 2) elastic membrane problems discretized using linear and higher order TraceFEM, which makes it straightforward to embed complex geometries of membrane models into an elastic bulk for reinforcement and 3) stabilized, accurate vertex normal and mean curvature estimation with local refinement on triangulated surfaces. In this thesis the basics of the two main approaches are presented, some aspects such as stabilization and surface reconstruction are further developed, evaluated and numerically analyzed, details on implementations are provided and the current state of work is presented.

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  • 6.
    Cenanovic, Mirza
    Högskolan i Jönköping, Tekniska Högskolan, JTH. Forskningsmiljö Produktutveckling - Simulering och optimering.
    Finite element methods on surfaces2015Licentiatavhandling, sammanläggning (Övrigt vetenskapligt)
    Abstract [en]

    The purpose of this thesis is to improve numerical simulations of surface problems. Two novel computational concepts are analyzed and applied on two surface problems; minimal surface problems and elastic membrane problems. The concept of tangential projection implies that direct computation on the surface is made possible compared to the classical approach of mapping 2D parametric surfaces to 3D surfaces by means of differential geometry operators. The second concept presented is the cut finite element method, in which the basic idea of discretization is to embed the d- 1-dimensional surface in a d-dimensional mesh and use the basis functions of a higher dimensional mesh but integrate over the surface. The aim of this thesis is to present the basics of the two main approaches and to provide details on the implementation.

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  • 7.
    Cenanovic, Mirza
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Produktutveckling. Högskolan i Jönköping, Tekniska Högskolan, JTH. Forskningsmiljö Produktutveckling - Simulering och optimering.
    Numerical error estimation for a TraceFEM membrane and distance function on P1 and P2 tetrahedraManuskript (preprint) (Övrigt vetenskapligt)
  • 8.
    Cenanovic, Mirza
    et al.
    Jönköping University, Tekniska Högskolan, JTH, Industriell produktutveckling, produktion och design, JTH, Produktionsutveckling.
    Hansbo, Peter
    Jönköping University, Tekniska Högskolan, JTH, Material och tillverkning.
    Larson, M. G.
    Department of Mathematics and Mathematical Statistics, Umeå University.
    Finite element procedures for computing normals and mean curvature on triangulated surfaces and their use for mesh refinement2020Ingår i: Computer Methods in Applied Mechanics and Engineering, ISSN 0045-7825, E-ISSN 1879-2138, Vol. 372, artikel-id 113445Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    In this paper we consider finite element approaches to computing the mean curvature vector and normal at the vertices of piecewise linear triangulated surfaces. In particular, we adopt a stabilization technique which allows for first order L2-convergence of the mean curvature vector and apply this stabilization technique also to the computation of continuous, recovered, normals using L2-projections of the piecewise constant face normals. Finally, we use our projected normals to define an adaptive mesh refinement approach to geometry resolution where we also employ spline techniques to reconstruct the surface before refinement. We compare our results to previously proposed approaches.

  • 9.
    Cenanovic, Mirza
    et al.
    Högskolan i Jönköping, Tekniska Högskolan, JTH. Forskningsmiljö Produktutveckling - Simulering och optimering. Högskolan i Jönköping, Tekniska Högskolan, JTH, Produktutveckling.
    Hansbo, Peter
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Maskinteknik. Högskolan i Jönköping, Tekniska Högskolan, JTH. Forskningsmiljö Produktutveckling - Simulering och optimering.
    Larson, Mats G,
    Umeå University.
    Minimal surface computation using a finite element method on an embedded surface2015Ingår i: International Journal for Numerical Methods in Engineering, ISSN 0029-5981, E-ISSN 1097-0207, Vol. 104, nr 7, s. 502-512Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    We suggest a finite element method for finding minimal surfaces based on computing a discrete Laplace–Beltrami operator operating on the coordinates of the surface. The surface is a discrete representation of the zero level set of a distance function using linear tetrahedral finite elements, and the finite element discretization is carried out on the piecewise planar isosurface using the shape functions from the background three-dimensional mesh used to represent the distance function. A recently suggested stabilized scheme for finite element approximation of the mean curvature vector is a crucial component of the method.

  • 10.
    Cenanovic, Mirza
    et al.
    Högskolan i Jönköping, Tekniska Högskolan, JTH. Forskningsmiljö Produktutveckling - Simulering och optimering.
    Hansbo, Peter
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Produktutveckling. Högskolan i Jönköping, Tekniska Högskolan, JTH. Forskningsmiljö Produktutveckling - Simulering och optimering.
    Larsson, Mats G.
    Umeå University.
    Cut finite element modeling of linear membranes2016Ingår i: Computer Methods in Applied Mechanics and Engineering, ISSN 0045-7825, E-ISSN 1879-2138, Vol. 310, s. 98-111Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    We construct a cut finite element method for the membrane elasticity problem on an embedded mesh using tangential differential calculus, i.e., with the equilibrium equations pointwise projected onto the tangent plane of the surface to create a pointwise planar problem in the tangential direction. Both free membranes and membranes coupled to 3D elasticity are considered. The discretization of the membrane comes from a Galerkin method using the restriction of 3D basis functions (linear or trilinear) to the surface representing the membrane. In the case of coupling to 3D elasticity, we view the membrane as giving additional stiffness contributions to the standard stiffness matrix resulting from the discretization of the three-dimensional continuum.

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  • 11.
    Cenanovic, Mirza
    et al.
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Produktutveckling. Högskolan i Jönköping, Tekniska Högskolan, JTH. Forskningsmiljö Produktutveckling - Simulering och optimering.
    Hansbo, Peter
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Produktutveckling. Högskolan i Jönköping, Tekniska Högskolan, JTH. Forskningsmiljö Produktutveckling - Simulering och optimering.
    Larsson, Mats G.
    Finite element procedures for computing normals and mean curvature on triangulated surfaces and their use for mesh refinementManuskript (preprint) (Övrigt vetenskapligt)
    Abstract [en]

    In this paper we consider finite element approaches to computing the mean curvature vector and normal at the vertices of piecewise linear triangulated surfaces. In particular, we adopt a stabilization technique which allows for first order L2-convergence of the mean curvature vector and apply this stabilization technique also to the computation of continuous, recovered, normals using L2-projections of the piecewise constant face normals. Finally, we use our projected normals to define an adaptive mesh refinement approach to geometry resolution where we also employ spline techniques to reconstruct the surface before refinement. We compare or results to previously proposed approaches.

  • 12.
    Das, Sudip Kumar
    et al.
    Bharti School of Engineering, Laurentian University, Sudbury, Ontario, Canada.
    Cenanovic, Mirza
    Jönköping University, Tekniska Högskolan, JTH, Industriell produktutveckling, produktion och design, JTH, Produktionsutveckling.
    Zhang, Junfeng
    Bharti School of Engineering, Laurentian University.
    A physics-based estimation of mean curvature normal vector for triangulated surfaces2019Ingår i: Proceedings of the International Geometry Center, ISSN 2072-9812, Vol. 12, nr 1, s. 70-78Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    In this note, we derive an approximation for the mean curvature normal vector on vertices of triangulated surface meshes from the Young-Laplace equation and the force balance principle. We then demonstrate that the approximation expression from our physics-based derivation is equivalent to the discrete Laplace-Beltrami operator approach in the literature. This work, in addition to providing an alternative expression to calculate the mean curvature normal vector, can be further extended to other mesh structures, including non-triangular and heterogeneous meshes. 

1 - 12 av 12
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