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机构地区:[1]黑龙江科技大学材料科学与工程学院,哈尔滨150022 [2]哈尔滨工业大学先进焊接与连接国家重点实验室,哈尔滨150001
出 处:《焊接学报》2016年第4期35-38,130,共4页Transactions of The China Welding Institution
基 金:国家自然科学基金资助项目(51205083;51575134)
摘 要:为了解决界面回波幅度均值无法评价异种材料扩散焊接头强度的问题,文中提出一种接头强度评价与预测方法.该方法基于二叉树支持向量机构建界面缺陷的识别模型,根据识别结果计算界面的焊合率,建立焊合率与抗剪强度的关系.采用线性拟合的方法获得抗剪强度的经验公式,用于预测接头强度.结果表明,构建的缺陷识别模型可以有效地识别出扩散焊界面未焊合、弱接合和微孔缺陷,焊合率与接头抗剪强度具有相关性,抗剪强度随着焊合率的增加而增加.实现了接头强度的预测,预测强度与实测值吻合较好.To solve the problem of strength evaluation of dissimilar diffusion bonding,a strength evaluation and prediction method was proposed.Defect recognition models were built based on the binary decision tree support vector machine.The bonded ratio of the interface calculated from the recognition results was studied to establish the relationship with the shear strength.The empirical formula of shear strength was obtained by using the method of linear filling to predict the strength of the bonding joint.It was found that the unbonded,kissing bond and pore in the dissimilar diffusion bonding interface were effectively recognized by the recognition models.The calculated bonded ratio established a good correlation with the shear strength which increased with the bonded ratio.The shear strength of dissimilar diffusion bonding can be predicted by the bonded ratio.The measured shear strength has a good agreement with the predicted shear strength.
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