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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Antonio, Cac
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (14/14 displayed)
- 2017Multiobjective optimization of mechanical properties based on the composition of adhesivescitations
- 2016Optimal design of adhesive composition in footwear industry based on creep rate minimizationcitations
- 2015Surface treatment effect in thermoplastic rubber and natural leather for the footwear industrycitations
- 2015Effect of the surface treatment in polyurethane and natural leather for the footwear industrycitations
- 2012A variability study on the response of composite structures based on sensitivity indices
- 2006A hierarchical genetic algorithm with age structure for multimodal optimal design of hybrid compositescitations
- 2004Preform optimal design in metal forging using genetic algorithmscitations
- 2004Optimisation of shape and process parameters in metal forging using genetic algorithmscitations
- 2002Optimal cutting conditions in turning of particulate metal matrix composites based on experiment and a genetic search modelcitations
- 2002A multilevel genetic algorithm for optimization of geometrically nonlinear stiffened composite structurescitations
- 2001Optimal drilling of particulate metal matrix composites based on experimental and numerical procedurescitations
- 2001Optimisation of cutting conditions in machining of aluminium matrix composites using a numerical and experimental modelcitations
- 2000A multilevel approach to optimization of bulk forming processes
- 2000An approach to reliability based design of composite structures under dynamic response
Places of action
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article
Optimal design of adhesive composition in footwear industry based on creep rate minimization
Abstract
On the footwear industry, the composition of adhesives has a high contribution for the product quality. This paper aims to develop a model capable to predict and optimize the creep rate using the composition of the adhesive joints. The proposed mixed numerical and experimental approach is based on following stages: the planned experimental measurements, the learning procedure aiming to obtain the optimal artificial neural network (ANN) configuration, and the optimal design procedure for adhesive joint composition. The design variables are the weight percentages of the solid raw material constituents of the adhesive, such as polyurethanes (PUs), resins, and additives. Considering the experimental results obtained for Taguchi design points as input/output patterns, the ANN is developed based on supervised evolutionary learning. In the last stage, the optimal solution for adhesives composition considering minimum creep rate is investigated based on ANN and genetic algorithm. The optimal results for creep rate minimization based on proposed approach are reached when large quantities for PUs and for some additives are considered, and when colophony and vinyl resin are not considered on the formulation. The sensitivity of the structural response of footwear adhesives to composition constituents is also studied based on Sobol indices obtained from ANN-Monte Carlo simulation procedure. The performance measured by creep rate of the adhesive joint is very sensitive to the influence of some polyurethanes, and a particular sensitivity to caprolactone types with extremely high crystallization is observed. The sensitivities of the creep rate to the resins colophony and coumarone-indene are also important.