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<p>This study focuses on modeling connector pin structures with high precision to develop a simulation framework capable of accurately replicating real-world connector assembly. The primary objective was to create a simulator that enables detailed assembly testing by capturing the nonlinear deformation and contact dynamics of connector pins. By integrating rigorously validated pin models into the simulation environment, this approach addresses the limitations of physical testing, providing a reliable platform for analyzing and optimizing assembly strategies. The pin models, created through mechanical analysis and multiple optimization techniques, were tested on connectors with various geometries and insertion offsets. Their integration into RecurDyn, a dynamic simulation platform, allowed for in-depth evaluation of insertion forces, vibrations, and contact behaviors, yielding comprehensive insights into assembly dynamics under diverse conditions. Findings show that this precise pin structure modeling framework supports advanced control strategies, enhances assembly precision, and offers valuable data to inform future robotic assembly technologies.</p>

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Development of a simulation framework for efficient and stable robotic connector assembly based on pin structure modeling

  • 期刊论文

  • 发表日期：

    2025年10月9日

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  • Young Jae You,
  • Youngwuk Kim,
  • Hyungpil Moon,
  • Hyouk Ryeol Choi,
  • Ja Choon Koo

摘要

This study focuses on modeling connector pin structures with high precision to develop a simulation framework capable of accurately replicating real-world connector assembly. The primary objective was to create a simulator that enables detailed assembly testing by capturing the nonlinear deformation and contact dynamics of connector pins. By integrating rigorously validated pin models into the simulation environment, this approach addresses the limitations of physical testing, providing a reliable platform for analyzing and optimizing assembly strategies. The pin models, created through mechanical analysis and multiple optimization techniques, were tested on connectors with various geometries and insertion offsets. Their integration into RecurDyn, a dynamic simulation platform, allowed for in-depth evaluation of insertion forces, vibrations, and contact behaviors, yielding comprehensive insights into assembly dynamics under diverse conditions. Findings show that this precise pin structure modeling framework supports advanced control strategies, enhances assembly precision, and offers valuable data to inform future robotic assembly technologies.