Scholarlink

<p>As the demand for lightweight vehicle structures increases due to stringent fuel regulations, the use of multi-material assemblies in automotive manufacturing has become essential. Mechanical joining technologies such as self-piercing riveting (SPR) and flow-drilled screws (FDS) have emerged as effective alternatives to traditional spot welding, especially for dissimilar material combinations. In this study, macroscopic models were developed to represent SPR and FDS joints in large-scale finite element simulations. These models aim to simplify the complex physical behavior of joints while retaining accuracy under various loading conditions. To calibrate and validate the models, experimental tests were conducted using single lap-shear tests (representing tangential loading) and cross-tension tests (representing normal loading). Based on the observed failure mechanisms and force-displacement behavior, model parameters were adjusted to reflect joint performance accurately. The proposed models provide an efficient and reliable approach for integrating joint behavior into vehicle-scale simulations, enabling better prediction of structural performance in multi-material assemblies.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Joining Dissimilar Materials Using Self-Piercing Rivet and Flow-Drilled Screw: Testing and Modeling

  • 期刊论文

  • 发表日期：

    2025年6月1日

查看全文
  • Sunghoon Choi,
  • Janwon Hong,
  • Sejin Ko,
  • Dongchoul Kim

摘要

As the demand for lightweight vehicle structures increases due to stringent fuel regulations, the use of multi-material assemblies in automotive manufacturing has become essential. Mechanical joining technologies such as self-piercing riveting (SPR) and flow-drilled screws (FDS) have emerged as effective alternatives to traditional spot welding, especially for dissimilar material combinations. In this study, macroscopic models were developed to represent SPR and FDS joints in large-scale finite element simulations. These models aim to simplify the complex physical behavior of joints while retaining accuracy under various loading conditions. To calibrate and validate the models, experimental tests were conducted using single lap-shear tests (representing tangential loading) and cross-tension tests (representing normal loading). Based on the observed failure mechanisms and force-displacement behavior, model parameters were adjusted to reflect joint performance accurately. The proposed models provide an efficient and reliable approach for integrating joint behavior into vehicle-scale simulations, enabling better prediction of structural performance in multi-material assemblies.