Abstract
A mixed numerical-experimental approach capable to predict and optimize the performance of the footwear adhesive joints, based on the weight composition of used raw materials was presented. The approach based on the optimal design of adhesive composition to achieve the targets of minimum creep rate (CR) and maximum peel strength (PS) under manufacturing. Two stages are considered in the proposed approach. In the first stage, an approximation model is built based on planned experimental measurements and artificial neural network (ANN) developments. The ANN learning procedure uses a genetic algorithm. In the second stage an optimal design procedure is developed based on multi-objective design optimization (MDO) concepts. The MDO algorithm based on dominance concepts and evolutionary search is proposed aiming to build the optimal Pareto front. The model uses the optimal ANN to evaluate the fitness functions of the optimization problem. Furthermore, a ANN-based Monte Carlo simulation procedure is implemented and the sensitivity of the CR and PS relatively to weight compositions of raw materials is determined. The approach shown robustness to establish the trade-off between minimum CR properties and minimum inverse PS (maximum PS) using the weight composition of used raw materials. The optimal results for both CR and PS based on proposed approach are reached when large quantities for polyurethanes (Pus) and for some additives are considered. The performances of adhesive joints measured by CR and PS are very sensitive to the influence of some PUs and in some way are moderately sensitive to additives. The proposed MDO approach supported by experimental tests shows improved explorative properties of raw materials and can be a powerfully tool for the designers of adhesive joints in footwear industry.
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References
António, C.A.: A hierarchical genetic algorithm for reliability based design of geometrically non-linear composite structures. Compos. Struct. 54, 37–47 (2001)
António, C.A.: A multilevel genetic algorithm for optimization of geometrically nonlinear stiffened composite structures. Struct. Multidiscipl. Optim. 24, 372–386 (2002)
António, C.A., Hoffbauer, L.N.: From local to global importance measures of uncertainty propagation in composite structures. Compos. Struct. 85, 213–225 (2008)
António, C.A., Hoffbauer, L.N.: Uncertainty propagation in inverse reliability-based design of composite structures. Int. J. Mech. Mater. Des. 6, 89–102 (2010)
António, C.A., Hoffbauer, L.N.: Uncertainty assessment approach for composite structures based on global sensitivity indices. Compos. Struct. 99, 202–212 (2013)
António, C.C., Castro, C.R., Sousa, L.C.: Optimization of metal forming processes. Comput. Struct. 82, 1425–1433 (2004)
Borgonovo, E., Apostolakis, G.E., Tarantola, S., Saltelli, A.: Comparison of global sensitivity analysis techniques and importance measures in PSA. Reliab. Eng. Syst. Saf. 79, 175–185 (2003)
Cepeda-Jiménez, C.M., Pastor-Blas, M.M., Martín-Martínez, J.M., Gottschalk, P.: Treatment of thermoplastic rubberwith chlorine bleach as an alternative halogenation treatment in the footwear industry. J. Adhes. 79(3), 207–237 (2003)
Cheng, J., Li, Q.-S., Xiao, R.-C.: A new artificial neural network-based response surface method for structural reliability analysis. Probab. Eng. Mech. 23, 51–63 (2008)
Conceição António, C.A.: Local and global Pareto dominance applied to optimal design and material selection of composite structures. Struct. Multidiscipl. Optim. 48, 73–94 (2013)
Deb, K.: Multi-objective Optimization Using Evolutionary Algorithms. Wiley, Chichester (2001)
EN 1392:1998.: Adhesives for leather and footwear materials—Solvent-based and dispersion adhesives—Test methods for measuring the bonds under specified conditions (1998). European Standards. www.en-standard.eu
Falco, A.P.S.: Avaliação da Adesivos utilizados em solados de calçado de uso Marinha do Brasil. MSc. thesis in Ciências em Engenharia Metalúrgica e de Materiais (2007)
Gupta, M.M., Jin, L., Homma, N.: Static and Dynamic Neural Networks. Wiley, Hoboken (2003)
Houwink, R., Salomon, G.: Adhesion and Adhesives—Applications, vol. 2, 2nd edn. Elsevier, London (1967)
Karmann, W., Gierenz, G.: Adhesives and Adhesive Tapes. Wiley, New York (2001)
Mayan, O., Pires, A., Neves, P., Capela, F.: Shoe manufacturing and solvent exposure in northern Portugal. Appl. Occup. Environ. Hyg. 14(11), 785–790 (1999)
Paiva, R.M.M., António, C.A.C., Silva, L.F.M.: Sensitivity and optimization of peel strength based on composition of adhesives for footwear. J. Adhes. (2014). doi:10.1080/00218464.2014.971119
Paiva, R.M.M., Marques, E.A.S., Silva, L.F.M., Vaz, M.A.P.: Importance of the surface treatment in the peeling strength of joints for the shoes industry. App. Adhes. Sci. 1(5), 1–15 (2013)
Pizzi, A., Mittal, K.L.: Handbook of Adhesives Technology, 2nd edn. Marcel Dekker. Inc., New York (2003)
Saltelli, A., Ratto, M., Tarantola, S., Campolongo, F.: Sensitivity analysis practices: strategies for model-based inference. Reliab. Eng. Syst. Saf. 91, 1109–1125 (2006)
Silva, L.F.M., Ochsner, A., Adams, R.D.: Handbook of Adhesion Technology, vol. I, II edn. Springer, New York (2011)
Siri, B.: Hand Book of Adhesives—The technology of Adhesives. Small Industry Research Institute, Delhi (1984)
Skeist, I.: Handbook of Adhesives, 2nd edn. Van Nostrand Reinhold Company, USA (1976)
Snogren, R.C.: Handbook of Surface Preparation. Palmerton Publishing CO. Inc., New York (1974)
Sultan Nasar, A., Srinivasan, G., Mohan, R., Radhakrishnan, G.: Polyurethane solvent-based adhesives for footwear applications. J. Adhes. 68(1–2), 21–29 (1998)
Taguchi, G., Konishi, S.: Taguchi Methods—Orthogonal Arrays and Linear Graphs, p. 37. American Supplier Institute Inc., Dearborn (1987)
Velez-Pages, T., Martin-Martinez, J.M.: Application of one-component primer to avoid the roughening of leather and increase its adhesion to polyurethane adhesive. Int. J. Adhes. Adhes. 25, 320–328 (2005)
Wake, W.C.: Adhesion and the Formulation of Adhesives. Applied Science Publishers Limited, London (1976)
www.cipade.com, CIPADE—Indústria e Investigação de Produtos Adesivos, S.A., São João da Madeira, Portugal
Yue, D., Yue, C.: Shoes—Their History in Words and Pictures. Houghton Mifflin, Boston (1997)
Acknowledgments
The authors acknowledge the financial support provided by the Fundação para a Ciência e a Tecnologia (FCT), Portugal, through the funding of “The Associate Laboratory of Energy, Transports and Aeronautics (LAETA)”. The authors acknowledge the experimental facilities provided by CIPADE.
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Paiva, R.M.M., António, C.A.C. & da Silva, L.F.M. Multiobjective optimization of mechanical properties based on the composition of adhesives. Int J Mech Mater Des 13, 1–24 (2017). https://doi.org/10.1007/s10999-015-9313-2
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DOI: https://doi.org/10.1007/s10999-015-9313-2