There are different process parameters of bonding joints in the literature. The main objective of the paper was to investigate the effects of bonding angle, composite lay-up sequences and adherend thickness on failure load of adhesively bonded joints under tensile load. For this aim, the joint has four types of the bonding angles 30°, 45°, 60° and 75°. Composite materials have three different lay-up sequences and various thicknesses. The bonding angle, adherend thickness and composite lay-up sequences lead to an increase of the failure load. Moreover, artificial neural network that utilized Levenberg-Marquardt algorithm model was used to predict failure load of bonding joints. Mean square error was put into account to evaluate productivity of ANN estimation model. Experimental results have been consistent with the predicted results obtained with ANN for training, validation and testing data set at a rate of 0.998, 0.997 and 0.998 respectively.

文献中有不同的接合点工艺参数。本文的主要目的是研究在拉伸载荷作用下，粘合角度，复合材料铺层顺序和被粘物厚度对粘合接头破坏载荷的影响。为此，接头具有四种类型的粘结角：30°，45°，60°和75°。复合材料具有三种不同的铺层顺序和各种厚度。粘结角，被粘物厚度和复合层合顺序会导致破坏载荷的增加。此外，利用利用Levenberg-Marquardt算法模型的人工神经网络来预测接合点的破坏载荷。考虑了均方误差以评估ANN估计模型的生产率。