A novel CACD/CAD/CAE integrated design framework for fiber-reinforced plastic parts

Presents a CACD/CAD/CAE integrated design framework for fiber-reinforced plastic parts.Develops the heterogeneous feature model for fiber-reinforced object modeling.Develops the level-set structure and material optimization for conceptual design.Applies the response surface method to optimize the injection molding process conditions.Improves the design optimality and shortens the design process. This work presents a novel CACD/CAD/CAE integrated framework for design, modeling, and optimization of fiber-reinforced plastic parts, which can greatly enhance the current design practice by realizing partial automation and multi-stage optimization. To support this framework, a new heterogeneous feature model (HFM) has been developed to model the fiber-reinforced objects and to be transferred between engineering modules. To be specific, the CACD (computer-aided conceptual design) module employs the level-set structure and material optimization to produce the initial design with thickness control, and also the initial HFM; the CAD (computer-aided design) module allows manual editing on the HFM to reflect various design intents; then, the injection molding CAE (computer-aided engineering) simulates the manufacturing process, and the response surface method (RSM) is applied to optimize the process parameters of gate location, injection flow rate, mold temperature and melt temperature, to approach the manufactured fiber orientation distribution close to the optimized result produced by the CACD module; besides, the structural analysis CAE module generates the mechanical performance result to support the CACD module, as well as to validate the final design. By applying this framework, the final structural design including the fiber orientation distribution, will perform better in mechanical properties, and consume less matrix and fiber materials; besides, the design maturity can be approached in shorter time. To prove the effectiveness, a plastic gripper design will be comprehensively studied.

[1]  W. S. Sze,et al.  Modeling complex heterogeneous objects with non-manifold heterogeneous cells , 2006, Comput. Aided Des..

[2]  G. Allaire,et al.  MULTI-PHASE STRUCTURAL OPTIMIZATION VIA A LEVEL SET METHOD ∗, ∗∗ , 2014 .

[3]  Donghui Wang,et al.  A CAD/CAE integrated framework for structural design optimization using sequential approximation optimization , 2014, Adv. Eng. Softw..

[4]  Debasish Dutta,et al.  Feature-based design for heterogeneous objects , 2004, Comput. Aided Des..

[5]  Xiaoming Wang,et al.  Structural shape and topology optimization in a level-set-based framework of region representation , 2004 .

[6]  Xiaojun Wu,et al.  A CAD modeling system for heterogeneous object , 2008, Adv. Eng. Softw..

[7]  T. Okabe,et al.  A Numerical Approach for Injection Molding of Short-Fiber-Reinforced Plastics Using a Particle Method , 2011 .

[8]  Niels Leergaard Pedersen,et al.  On strength design using free material subjected to multiple load cases , 2013 .

[9]  Qi Xia,et al.  Simultaneous optimization of the material properties and the topology of functionally graded structures , 2008, Comput. Aided Des..

[10]  M. Cima,et al.  Modeling and designing functionally graded material components for fabrication with local composition control , 1999 .

[11]  Michael Yu Wang,et al.  A level-set based variational method for design and optimization of heterogeneous objects , 2005, Comput. Aided Des..

[12]  Bernd Lauke,et al.  Effects of fiber length and fiber orientation distributions on the tensile strength of short-fiber-reinforced polymers , 1996 .

[13]  X. Y. Kou,et al.  A systematic approach for Integrated Computer-Aided Design and Finite Element Analysis of Functionally-Graded-Material objects , 2007 .

[14]  Xiaoming Wang,et al.  A level set method for structural topology optimization , 2003 .

[15]  R. Chien,et al.  Optimization of the injection molding process for short-fiber-reinforced composites , 2011 .

[16]  Guoqun Zhao,et al.  Effect of mold temperature on motion behavior of short glass fibers in injection molding process , 2014 .

[17]  Martin P. Bendsøe,et al.  An Analytical Model to Predict Optimal Material Properties in the Context of Optimal Structural Design , 1994 .

[18]  Ronald Fedkiw,et al.  Level set methods and dynamic implicit surfaces , 2002, Applied mathematical sciences.

[19]  R. Brighenti.  Fibre distribution optimisation in fibre-reinforced composites by a genetic algorithm , 2005 .

[20]  Douglas C. Montgomery,et al.  Response Surface Methodology: Process and Product Optimization Using Designed Experiments , 1995 .

[21]  Debasish Dutta,et al.  A method for the design and fabrication of heterogeneous objects , 2003 .

[22]  Edith Mäder,et al.  Characterization of fiber/matrix interface strength: applicability of different tests, approaches and parameters , 2005 .

[23]  Xiaoping Qian,et al.  A B-spline-based approach to heterogeneous objects design and analysis , 2007, Comput. Aided Des..

[24]  G. Allaire,et al.  Structural optimization using sensitivity analysis and a level-set method , 2004 .

[25]  M. Lipsett,et al.  A review of aspects affecting performance and modeling of short‐natural‐fiber‐reinforced polymers under monotonic and cyclic loading conditions , 2015 .

[26]  J. Sethian,et al.  Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations , 1988 .

[27]  Erik Holmberg,et al.  Stress constrained topology optimization , 2013, Structural and Multidisciplinary Optimization.

[28]  Ibrahim T. Ozbolat,et al.  Optimized normal and distance matching for heterogeneous object modeling , 2014, Comput. Ind. Eng..

[29]  Debasish Dutta,et al.  Constructive Representation of Heterogeneous Objects , 2001, J. Comput. Inf. Sci. Eng..

[30]  H. Sadabadi,et al.  Effects of Some Injection Molding Process Parameters on Fiber Orientation Tensor of Short Glass Fiber Polystyrene Composites (SGF/PS) , 2007 .

[31]  P. Soden,et al.  Recommendations for designers and researchers resulting from the world-wide failure exercise , 2004 .

[32]  S. Osher,et al.  Algorithms Based on Hamilton-Jacobi Formulations , 1988 .

[33]  Matteo Bruggi,et al.  Topology optimization of the fiber-reinforcement retrofitting existing structures , 2013 .

[34]  Roberto Brighenti,et al.  A micro-mechanical model for statistically unidirectional and randomly distributed fibre-reinforced solids , 2012 .

[35]  Vinod Kumar,et al.  A framework for object modeling , 1999, Comput. Aided Des..

[36]  Julián A. Norato,et al.  Stress-based topology optimization for continua , 2010 .

[37]  M. Hinton.  Failure Criteria in Fibre-Reinforced-Polymer Composites: The World-Wide Failure Exercise , 2004 .

[38]  Su Wang,et al.  Review: Finite element-based approach to modeling heterogeneous objects , 2009 .

[39]  James Pe,et al.  Engineering Design with Polymers and Composites , 2005 .

[40]  J. Sethian,et al.  Structural Boundary Design via Level Set and Immersed Interface Methods , 2000 .

[41]  Xiaoming Wang,et al.  Color level sets: a multi-phase method for structural topology optimization with multiple materials , 2004 .

[42]  F. Keulen,et al.  Level Set Based Topology Optimization with Stress Constraints and Consistent Sensitivity Analysis , 2012 .

[43]  X. Y. Kou,et al.  A hierarchical representation for heterogeneous object modeling , 2005, Comput. Aided Des..

[44]  C. Fürst,et al.  Effects of different fibers on the properties of short-fiber-reinforced polypropylene composites , 2014 .

[45]  J. Zowe,et al.  Free material optimization: recent progress , 2008 .

[46]  X. Y. Kou,et al.  Heterogeneous object modeling: A review , 2007, Comput. Aided Des..

[47]  Timon Rabczuk,et al.  Optimal fiber content and distribution in fiber-reinforced solids using a reliability and NURBS based sequential optimization approach , 2015 .

[48]  Yongsheng Ma.  Semantic Modeling and Interoperability in Product and Process Engineering: A Technology for Engineering Informatics , 2013 .

[49]  N. Yan,et al.  Predicting the tensile strength of natural fibre reinforced thermoplastics , 2007 .

[50]  Christoph Unterweger,et al.  Synthetic fibers and thermoplastic short‐fiber‐reinforced polymers: Properties and characterization , 2014 .

[51]  Alex M. Andrew,et al.  Level Set Methods and Fast Marching Methods: Evolving Interfaces in Computational Geometry, Fluid Mechanics, Computer Vision, and Materials Science (2nd edition) , 2000 .

[52]  Lu Bingheng,et al.  Heterogeneous object modeling based on multi-color distance field , 2009 .

[53]  Franca Giannini,et al.  Software environment for CAD/CAE integration , 2010, Adv. Eng. Softw..

[54]  Vadim Shapiro,et al.  Shape optimization with topological changes and parametric control , 2007 .

[55]  R. Talreja.  Assessment of the fundamentals of failure theories for composite materials , 2014 .

[56]  Michael Yu Wang,et al.  Shape feature control in structural topology optimization , 2008, Comput. Aided Des..

[57]  S. T. Tan,et al.  Source-based' heterogeneous solid modeling , 2002, Comput. Aided Des..

[58]  Vadim Shapiro,et al.  Shape sensitivity of constructively represented geometric models , 2008, Comput. Aided Geom. Des..

[59]  Chih-Hung Tsai,et al.  A study of optimization of injection molding process parameters for SGF and PTFE reinforced PC composites using neural network and response surface methodology , 2012 .

[60]  Vadim Shapiro,et al.  Heterogeneous material modeling with distance fields , 2004, Comput. Aided Geom. Des..

[61]  Dong-Jin Yoo,et al.  Heterogeneous object modeling using the radial basis functions , 2013 .