<p>This study establishes a novel digital modeling framework for home appliance sheet metal parts, moving beyond traditional geometric representation to a feature-based approach that captures forming semantics. At the core of our approach is a systematic taxonomy that classifies parts into distinct forming types (symmetrical, asymmetrical rectangular, asymmetrical circular drawing, and forming), which are then formalized as a composite set of parametric features (drawing, bending, flanging). Crucially, we developed a set of defining parameters—such as step width (W), wall angle (A), and height (H) for drawing features—to construct concise digital models for each feature type. This model was operationalized through an intelligent system on the NX platform, which successfully automated the digital modeling of 19 diverse sheet metal components. The results demonstrate that this digital model can effectively achieve digital representation of home appliance sheet metal parts. This work provides a foundational and scalable information framework for knowledge-driven design and manufacturing, with significant potential for the broader implementation of automated processes.</p>

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Research on digital models for home appliance sheet metal products based on stamping forming features

  • Xun Zhang,
  • Guolin Li,
  • Yuqi Liu

摘要

This study establishes a novel digital modeling framework for home appliance sheet metal parts, moving beyond traditional geometric representation to a feature-based approach that captures forming semantics. At the core of our approach is a systematic taxonomy that classifies parts into distinct forming types (symmetrical, asymmetrical rectangular, asymmetrical circular drawing, and forming), which are then formalized as a composite set of parametric features (drawing, bending, flanging). Crucially, we developed a set of defining parameters—such as step width (W), wall angle (A), and height (H) for drawing features—to construct concise digital models for each feature type. This model was operationalized through an intelligent system on the NX platform, which successfully automated the digital modeling of 19 diverse sheet metal components. The results demonstrate that this digital model can effectively achieve digital representation of home appliance sheet metal parts. This work provides a foundational and scalable information framework for knowledge-driven design and manufacturing, with significant potential for the broader implementation of automated processes.