从 CAD 到 G 代码:尽量减少 3D 打印过程中错误的策略

IF 4.6 2区 工程技术 Q2 ENGINEERING, MANUFACTURING CIRP Journal of Manufacturing Science and Technology Pub Date : 2024-09-14 DOI:10.1016/j.cirpj.2024.09.005
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引用次数: 0

摘要

本研究对增材制造过程中的误差进行了量化分析,重点是比较数据文件。主要目的是通过在虚拟环境中进行验证,尽量减少对已生产部件物理测试的依赖。最初的重点是将 CAD(计算机辅助设计)模型转换为 STL(标准网格语言)文件,在此过程中发现了两种格式之间的差异。要实现最佳网格划分,有效配置转换参数至关重要,既要避免细节丢失,又要避免处理过大的文件。随后,对 STL 文件和重建的 G 代码文件进行了比较,发现最常用的切片器引入了更多近似值。总之,分析结果表明,网格质量和切片阶段都会对最终组件产生重大影响。了解这些因素对于获得最佳打印效果至关重要。
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From CAD to G-code: Strategies to minimizing errors in 3D printing process

In this study, an analysis was conducted to quantify errors in the additive manufacturing process, with a focus on comparing data files. The primary objective was to minimise the reliance on physical testing of produced components by favouring verification within a virtual environment. The initial focus was on the conversion from the CAD (Computer-Aided Design) model to the STL (Standard Tessellation Language) file, where discrepancies between the two formats were identified. To achieve optimal meshing, it is crucial to configure conversion parameters effectively, avoiding both detail loss and the handling of excessively large files. Following this, a comparison between STL files and reconstructed G-code files was conducted, uncovering further approximations introduced by the most commonly used slicers. In conclusion, the analysis highlights that both the quality of the mesh and the slicing phase significantly impact the final component. Understanding these factors is essential for achieving an optimal print outcome.

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来源期刊
CIRP Journal of Manufacturing Science and Technology
CIRP Journal of Manufacturing Science and Technology Engineering-Industrial and Manufacturing Engineering
CiteScore
9.10
自引率
6.20%
发文量
166
审稿时长
63 days
期刊介绍: The CIRP Journal of Manufacturing Science and Technology (CIRP-JMST) publishes fundamental papers on manufacturing processes, production equipment and automation, product design, manufacturing systems and production organisations up to the level of the production networks, including all the related technical, human and economic factors. Preference is given to contributions describing research results whose feasibility has been demonstrated either in a laboratory or in the industrial praxis. Case studies and review papers on specific issues in manufacturing science and technology are equally encouraged.
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