期刊检索

  • 2024年第32卷
  • 2023年第31卷
  • 2022年第30卷
  • 2021年第29卷
  • 2020年第28卷
  • 2019年第27卷
  • 2018年第26卷
  • 2017年第25卷
  • 2016年第24卷
  • 2015年第23卷
  • 2014年第22卷
  • 2013年第21卷
  • 2012年第20卷
  • 2011年第19卷
  • 2010年第18卷
  • 第1期
  • 第2期

主管单位 中华人民共和国
工业和信息化部
主办单位 中国材料研究学会
哈尔滨工业大学
主编 苑世剑 国际刊号ISSN 1005-0299 国内刊号CN 23-1345/TB

期刊网站二维码
微信公众号二维码
引用本文:宋娇娇,邢保英,何晓聪,曾凯.基于响应面法的自冲铆-粘接复合接头强度预测[J].材料科学与工艺,2023,31(6):37-43.DOI:10.11951/j.issn.1005-0299.20220291.
SONG Jiaojiao,XING Baoying,HE Xiaocong,ZENG Kai.Strength prediction of self-piercing riveting bonded composite joints based on response surface method[J].Materials Science and Technology,2023,31(6):37-43.DOI:10.11951/j.issn.1005-0299.20220291.
【打印本页】   【HTML】   【下载PDF全文】   查看/发表评论  下载PDF阅读器  关闭
←前一篇|后一篇→ 过刊浏览    高级检索
本文已被:浏览 2123次   下载 2087 本文二维码信息
码上扫一扫!
分享到: 微信 更多
基于响应面法的自冲铆-粘接复合接头强度预测
宋娇娇,邢保英,何晓聪,曾凯
(昆明理工大学 机电工程学院,昆明650500)
摘要:
为建立可快速预测铆接参数对自冲铆-粘接复合接头力学性能影响的模型,基于响应面法对AA5182、AA5052和AL1420三种铝合金板材开展了自冲铆-粘接复合连接工艺实验研究。以板材硬度、胶层厚度及刺穿压强为自变量,失效载荷值和能量吸收值为响应值,建立各因素与优化目标的响应面回归模型,并通过实验验证模型的可靠性。研究结果表明:该回归模型预测结果值与实验结果误差小于10%,即模型显著性较高,可用来预测自冲铆-粘接复合接头的静力学性能。在单因素作用下,失效载荷值受各因素影响顺序为:板材硬度>刺穿压强>胶层厚度,各因素对能量吸收值影响情况为:板材硬度>胶层厚度>刺穿压强。板材硬度对失效载荷值与能量吸收值的影响最为显著,并且随板材硬度的增加,两者皆呈先增加后减小的变化趋势。在交互作用下,板材硬度和胶层厚度对失效载荷值影响最大,刺穿压强与胶层厚度对能量吸收值影响最显著。通过对模型预测结果分析可得:在确保接头质量的情况下,适当增大刺穿压强可有效提高接头能量吸收值。使用粘接剂时,胶层厚度须控制在0.5~0.9 mm才能与其余两因素相互配合,达到最好的铆接效果。
关键词:  自冲铆-粘接  响应面法  回归模型  失效载荷值  能量吸收值
DOI:10.11951/j.issn.1005-0299.20220291
分类号:TH131.1
文献标识码:A
基金项目:国家自然科学基金资助项目(52065034);云南省应用基础研究计划青年项目(14051848).
Strength prediction of self-piercing riveting bonded composite joints based on response surface method
SONG Jiaojiao, XING Baoying, HE Xiaocong, ZENG Kai
(Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming 650500,China)
Abstract:
In order to establish a model that can quickly predict the influence of riveting parameters on the mechanical properties of self-piercing riveting-bonding composite joints, the self-piercing riveting-bonding composite connection process of AA5182, AA5052 and AL1420 aluminum alloy sheets was studied based on the response surface method. The response surface regression model of each factor and optimization target was established with the plate hardness, adhesive layer thickness and puncture pressure as independent variables, and the failure load value and energy absorption value as response values, and the reliability of the model was verified by experiments. The results show that the error between the predicted results of the regression model and the experimental results is less than 10%, that is, the model has high significance and can be used to predict the static properties of self-piercing riveting-bonded composite joints. Under the action of single factor, the order of failure load value affected by various factors is: plate hardness > puncture pressure > adhesive layer thickness, and the influence of various factors on energy absorption value is: plate hardness > adhesive layer thickness > puncture pressure. The influence of plate hardness on the failure load value and energy absorption value is the most significant, and with the increase of plate hardness, both of them increase first and then decrease. Under the interaction, the hardness of the sheet and the thickness of the adhesive layer have the greatest influence on the failure load value, and the piercing pressure and the thickness of the adhesive layer have the most significant influence on the energy absorption value. Through the analysis of the model prediction results, it can be concluded that under the condition of ensuring the joint quality, properly increasing the puncture pressure can effectively improve the joint energy absorption value. When using the adhesive, the thickness of the adhesive layer must be controlled at 0.5~0.9 mm to cooperate with the other two factors to achieve the best riveting effect.
Key words:  self piercing riveting-bonding  response surface method  regression model  failure load value  energy absorption value

友情链接LINKS