Industrialising manufacturing processes for aeronautic composite parts is a challenging issue. Among the existing techniques, the Automated Fibre Placement (AFP) is a promising one, since it allows the making of large and complex pieces with good productivity and repeatability. However, in order to ensure the regulatory requirements, the process must be controlled efficiently. In this paper, we propose the off-line computation of a parametric solution to a minimisation problem subject to heat equation. To solve this saddle-point problem with the so-called PGD method, we considered using Uzawa's technique or the Ideal Minimal Residual-based formulation, the aim being real-time control of the heat source within the AFP process.
Accepted:
Published online:
Nicolas Bur 1; Pierre Joyot 2; Pierre Villon 3
@article{CRMECA_2018__346_7_556_0, author = {Nicolas Bur and Pierre Joyot and Pierre Villon}, title = {Reduced-order model of optimal temperature control for the automated fibre placement process}, journal = {Comptes Rendus. M\'ecanique}, pages = {556--570}, publisher = {Elsevier}, volume = {346}, number = {7}, year = {2018}, doi = {10.1016/j.crme.2018.04.007}, language = {en}, }
TY - JOUR AU - Nicolas Bur AU - Pierre Joyot AU - Pierre Villon TI - Reduced-order model of optimal temperature control for the automated fibre placement process JO - Comptes Rendus. Mécanique PY - 2018 SP - 556 EP - 570 VL - 346 IS - 7 PB - Elsevier DO - 10.1016/j.crme.2018.04.007 LA - en ID - CRMECA_2018__346_7_556_0 ER -
Nicolas Bur; Pierre Joyot; Pierre Villon. Reduced-order model of optimal temperature control for the automated fibre placement process. Comptes Rendus. Mécanique, Volume 346 (2018) no. 7, pp. 556-570. doi : 10.1016/j.crme.2018.04.007. https://comptes-rendus.academie-sciences.fr/mecanique/articles/10.1016/j.crme.2018.04.007/
[1] The engineering aspects of automated prepreg layup: history, present and future, Composites, Part B, Eng., Volume 43 (2012) no. 3, pp. 997-1009
[2] Analysis of process-induced residual stresses in tape placement, J. Thermoplast. Compos. Mater., Volume 15 (2002), pp. 525-544
[3] Analysis of transport phenomena governing interfacial bonding and void dynamics during thermoplastic tow-placement, Int. J. Heat Mass Transf., Volume 39 (1996) no. 9, pp. 1883-1897
[4] Processing of unidirectional fiber reinforced tapes—fundamentals on the way to a process simulation tool (ProSimFRT), Compos. Sci. Technol., Volume 63 (2003) no. 14, pp. 2111-2118
[5] Modeling the accudyne thermoplastic in situ ATP process, Jec-Sampe, 2009, pp. 1-8
[6] First steps towards an advanced simulation of composites manufacturing by automated tape placement, Int. J. Mater. Form., Volume 7 (2014), pp. 81-92
[7] A new family of solvers for some classes of multidimensional partial differential equations encountered in kinetic theory modeling of complex fluids, J. Non-Newton. Fluid Mech., Volume 139 (2006) no. 3, pp. 153-176
[8] A new family of solvers for some classes of multidimensional partial differential equations encountered in kinetic theory modelling of complex fluids. Part II: transient simulation using space–time separated representations, J. Non-Newton. Fluid Mech., Volume 144 (2007) no. 2–3, pp. 98-121
[9] On the deterministic solution of multidimensional parametric models using the Proper Generalized Decomposition, Math. Comput. Simul., Volume 81 (2010) no. 4, pp. 791-810
[10] Advanced simulation of models defined in plate geometries: 3D solutions with 2D computational complexity, Comput. Methods Appl. Mech. Eng., Volume 201–204 (2012), pp. 1-12 (accepted)
[11] Methodological approach to efficient modeling and optimization of thermal processes taking place in a die: application to pultrusion, Composites, Part A, Appl. Sci. Manuf., Volume 42 (2011) no. 9, pp. 1169-1178
[12] Proper Generalized Decomposition based dynamic data-driven control of thermal processes, Comput. Methods Appl. Mech. Eng., Volume 213–216 (2012), pp. 29-41
[13] PGD-based computational vademecum for efficient design, optimization and control, Arch. Comput. Methods Eng., Volume 20 (2013) no. 1, pp. 31-59
[14] About the origins of residual stresses in in situ consolidated thermoplastic composite rings, Int. J. Mater. Form., Volume 10 (2017) no. 5, pp. 779-792
[15] On the use of model order reduction for simulating automated fibre placement processes, Adv. Model. Simul. Eng. Sci., Volume 3 (2016) no. 1, p. 4
[16] Tensor product analysis of partial difference equations, Bull. Amer. Math. Soc., Volume 70 (1964), pp. 378-384
[17] Direct solution of partial difference equations by tensor product methods, Numer. Math., Volume 6 (1964) no. 1, pp. 185-199
[18] Basic Theorems in Matrix Theory, U.S. Government Printing Office, 1960
[19] Finite-Dimensional Vector Spaces, Undergrad. Texts Math., Springer New York, New York, NY, 1974
[20] Développement d'algorithmes de réduction de modèles pour l'optimisation du procédé PFR, UTC, Compiègne, France, 2015 (PhD thesis)
[21] Recent advances and new challenges in the use of the proper generalized decomposition for solving multidimensional models, Arch. Comput. Methods Eng., Volume 17 (2010) no. 4, pp. 327-350
[22] An overview of the proper generalized decomposition with applications in computational rheology, J. Non-Newton. Fluid Mech., Volume 166 (2011) no. 11, pp. 578-592
[23] A short review on model order reduction based on proper generalized decomposition, Arch. Comput. Methods Eng., Volume 18 (2011) no. 4, pp. 395-404
[24] The Proper Generalized Decomposition for Advanced Numerical Simulations, Springer, 2014
[25] Optimal Control of Systems Governed by Partial Differential Equations, Springer-Verlag, 1971
[26] A tensor approximation method based on ideal minimal residual formulations for the solution of high-dimensional problems, ESAIM, Math. Model. Numer. Anal., Volume 48 (2014) no. 6, pp. 1777-1806
[27] Ideal minimal residual-based proper generalized decomposition for non-symmetric multi-field models – application to transient elastodynamics in space–time domain, Comput. Methods Appl. Mech. Eng., Volume 273 (2014), pp. 56-76
[28] Iterative methods in concave programming (K.J. Arrow; L. Hurwicz; H. Uzawa, eds.), Studies in Linear and Nonlinear Programming, Stanford University Press, Stanford, CA, USA, 1958, pp. 154-165
[29] Multigrid Solvers for Saddle Point Problems in PDE-Constrained Optimization Dissertation, Johannes Kepler Universität, Linz, Austria, 2008 (PhD thesis)
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