2026年01月12日 AI设计自动化

SolidWorks API & AI Automation: Programmatic 3D Design for Equipment

Key Takeaway

SolidWorks API enables programmatic 3D design, but rule-based automation hits a complexity wall. AI overcomes the rule explosion problem by learning assembly patterns from historical models instead of encoding explicit rules.

SolidWorks secondary development (customization via API) is a critical enabler of design automation. Through the SolidWorks API, developers can programmatically control modeling, assembly, drawing generation, and virtually every other operation. However, in the semiconductor equipment domain, traditional API-based approaches are reaching their limits.

What Can the SolidWorks API Do?

SolidWorks provides a comprehensive COM API that supports C#, VB.NET, C++, and other languages. Key capabilities include:

  • Part modeling automation: Programmatic creation of features, sketches, extrusions, cuts, and other operations
  • Assembly operations: Automated component insertion, mate constraint application, and position adjustment
  • Batch drawing generation: Automated engineering drawing creation, BOM table generation, and PDF export
  • Parametric design: Dimension-driven design changes via Design Tables or code
  • PDM integration: Interaction with SolidWorks PDM for automated file check-in/check-out

Limitations of Traditional Secondary Development

For simple parametric parts or standard component combinations, API-based development works well. However, when facing the complex assemblies typical of semiconductor equipment, significant challenges emerge:

Challenge Traditional API Approach Difficulty Level
Large part count (hundreds of components) Rules must be written for every combination Rule explosion
Complex assembly logic Mate constraints are impossible to enumerate exhaustively Extremely high
Frequent design changes Rules require constant maintenance High maintenance cost
Cross-project reuse Rules from one project are not transferable Redundant development

Fundamentally, rule-based secondary development cannot handle “open-domain” assembly problems — it is impossible to pre-define every possible assembly combination.

AI + SolidWorks API: The Next Generation of Design Automation

The new approach replaces hand-coded rules with AI. The AI automatically learns assembly patterns from a company’s historical assembly models, then executes assembly operations through the SolidWorks API. This means:

  • No need to write assembly rules manually — the AI learns them automatically
  • No need to enumerate combinations — the AI reasons from process semantics
  • Consistent design style, because the AI learns from the company’s own design history
  • Native SolidWorks file output, ensuring seamless integration with existing workflows

MST Semiconductor’s NeuroBox D is built on this philosophy, deeply integrating large language models and computer vision with the SolidWorks API to achieve end-to-end automation from P&ID to 3D assembly.

If you are exploring SolidWorks secondary development or design automation solutions, we welcome you to contact us for a discussion.

MST
MST Technical Team
Written by the engineering team at Moore Solution Technology (MST). Our team includes semiconductor process engineers, AI/ML researchers, and equipment automation specialists with 50+ years of combined experience in fabs across China, Singapore, Taiwan, and the US.

这篇属于 NeuroBox D 设计自动化场景

获取一份 NeuroBox D 设计自动化评估,看看 P&ID 到 SolidWorks 原生装配体如何接入您的工程流程。

把 P&ID 图纸类型、客户零件库现状、3D 空间边界和装配规则发给我们。工程团队会先判断适合从哪一个机械设计环节切入,再给出落地建议。

  • 适合设备商、气路/机械设计、CAD 自动化和工程复核团队
  • 可从 P&ID、SolidWorks 零件库、装配规则和空间边界开始
  • 优先评估旁接式本地 D 盒子,不要求上传机密图纸到公有云

我们只用这条信息做初步判断,不会要求您上传机密 P&ID、零件库或客户图纸。

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