Abstract: Box-Behnken design (BBD) method was used to investigate the effect of process parameters on the mechanical properties of particle reinforced adhesive bonded joints. The multivariate regression models between structural parameters of the adhesive layer (adhesive layer thickness, particle size, and particle volume fraction) and response values (failure load, energy absorption value) were established. Meanwhile, the multi-objective genetic algorithm was used to carry out multi-objective optimization of the bonding process, and the optimized parameters were verified by experiments. The results indicate that particle volume fraction has the biggest impact on the strength of the joints in single factor analysis, and the interaction of adhesive layer thickness and particle volume fraction have the highest influence on the strength of the joints. The optimum structural parameters of the adhesive layer are determined by Pareto solution set: adhesive layer thickness of 0.531 mm, particle size of 61.765 μm, and particle volume fraction of 4.099%. The errors between the predicted value and the real value are 5.7% (failure load) and 0.9% (energy absorption value), respectively.
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2024, Vol. 38 
