用AI提前检测STL文件打印缺陷，降低新手失败率。
Evaluating the printability of stl files with ML
- 训练AI模型识别难打印的几何结构问题
- 可在打印前发现潜在失败风险，提升成功率
- 适合3D打印初学者或自动化流程使用
3D打印长期以来主要面向专业用户和愿意自行调试设备的爱好者。然而当前市场更注重易用性以吸引更广泛用户。如今的切片软件已具备对输入文件和输出Gcode进行基本校验的能力。本文提出一种新方法：训练人工智能模型来检测3D模型中的常见问题。目标是帮助经验较少的用户在打印前识别出可能导致失败的复杂几何特征，从而减少打印失败风险。
原文摘要 · Abstract (English)
3D printing has long been a technology for industry professionals and enthusiasts willing to tinker or even build their own machines. This stands in stark contrast to today's market, where recent developments have prioritized ease of use to attract a broader audience. Slicing software nowadays has a few ways to sanity check the input file as well as the output gcode. Our approach introduces a novel layer of support by training an AI model to detect common issues in 3D models. The goal is to assist less experienced users by identifying features that are likely to cause print failures due to difficult to print geometries before printing even begins.
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