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增材制造中STL模型三角面片法向量自适应分层算法研究

田仁强 刘少岗 张义飞

田仁强, 刘少岗, 张义飞. 增材制造中STL模型三角面片法向量自适应分层算法研究[J]. 机械科学与技术, 2019, 38(3): 415-421. doi: 10.13433/j.cnki.1003-8728.20180191
引用本文: 田仁强, 刘少岗, 张义飞. 增材制造中STL模型三角面片法向量自适应分层算法研究[J]. 机械科学与技术, 2019, 38(3): 415-421. doi: 10.13433/j.cnki.1003-8728.20180191
Tian Renqiang, Liu Shaogang, Zhang Yifei. Research on Adaptive Layering Algorithm of Triangular Facet Normal Vector of STL Model in Additive Manufacturing[J]. Mechanical Science and Technology for Aerospace Engineering, 2019, 38(3): 415-421. doi: 10.13433/j.cnki.1003-8728.20180191
Citation: Tian Renqiang, Liu Shaogang, Zhang Yifei. Research on Adaptive Layering Algorithm of Triangular Facet Normal Vector of STL Model in Additive Manufacturing[J]. Mechanical Science and Technology for Aerospace Engineering, 2019, 38(3): 415-421. doi: 10.13433/j.cnki.1003-8728.20180191

增材制造中STL模型三角面片法向量自适应分层算法研究

doi: 10.13433/j.cnki.1003-8728.20180191
基金项目: 

国家自然科学基金项目 51505334

详细信息
    作者简介:

    田仁强(1987-), 硕士研究生, 研究方向为增材制造分层算法研究, trq163yx@163.com

    通讯作者:

    刘少岗, 副教授, 硕士生导师, 博士, liusg2006@tust.edu.cn

  • 中图分类号: TG156

Research on Adaptive Layering Algorithm of Triangular Facet Normal Vector of STL Model in Additive Manufacturing

  • 摘要: 本文提出了增材制造技术中STL模型三角面片法向量自适应分层新算法。该方法寻找与层厚t相交的三角面片的最小法向量,应用三维模型体素中x-y分辨率和STL模型中三角面片法向量与制造方向间夹角变化关系,实现STL模型的自适应分层。用此方法分层,减少了分层参数处理的复杂性,使自适应分层变得更加简单且易实现,得到的分层厚度值更加准确。由于自适应分层是在允许的误差范围内得到的分层厚度,因此在STL模型轮廓变化明显的区域分层更加精细。
  • 图  1  STL模型体素组成原理

    图  2  自适应切片原理

    图  3  调整分层厚度示意图

    图  4  三角面片法向量自适应分层流程图

    图  5  不同的x-y分辨率对STL模型自适应分层变化情况

    图  6  表 2中自适应分层总分层数、总生成分层数时间与x-y分辨率关系曲线

    表  1  不同表面角对应的分层厚度

    最小表面角θ/(°) 分层厚度/mm
    x-y分辨率0.01 mm x-y分辨率0.05 mm x-y分辨率0.1 mm
    5 0.01 0.01 0.01
    10 0.01 0.01 0.015
    15 0.01 0.01 0.025
    20 0.01 0.015 0.035
    25 0.01 0.02 0.045
    30 0.01 0.025 0.055
    35 0.01 0.035 0.07
    40 0.01 0.04 0.08
    45 0.01 0.05 0.1
    50 0.01 0.055 0.1
    55 0.01 0.07 0.1
    60 0.015 0.085 0.1
    65 0.02 0.1 0.1
    70 0.025 0.1 0.1
    75 0.035 0.1 0.1
    80 0.055 0.1 0.1
    85 0.1 0.1 0.1
    90 0.1 0.1 0.1
    95 0.1 0.1 0.1
    100 0.055 0.1 0.1
    105 0.035 0.1 0.1
    110 0.025 0.1 0.1
    115 0.02 0.1 0.1
    120 0.015 0.085 0.1
    125 0.01 0.07 0.1
    130 0.01 0.055 0.1
    135 0.01 0.05 0.1
    140 0.01 0.04 0.08
    145 0.01 0.035 0.07
    150 0.01 0.025 0.055
    155 0.01 0.02 0.045
    160 0.01 0.015 0.035
    165 0.01 0.01 0.025
    170 0.01 0.01 0.015
    175 0.01 0.01 0.01
    180 0.01 0.01 0.01
    下载: 导出CSV

    表  2  不同x-y分辨率的自适应分层的分层数和分层耗时比较

    x-y分辨率/mm 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09 0.2 0.4 0.6 0.8 1
    分层总数 1138 646 471 387 343 320 310 303 298 259 253 251 250 250
    分层耗时/s 178.815 103.289 74.935 61.621 54.456 51.192 48.091 47.774 46.824 41.236 40.284 40.106 39.106 39.791
    下载: 导出CSV
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出版历程
  • 收稿日期:  2018-05-19
  • 刊出日期:  2019-03-05

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