摘要
为满足复杂功能梯度材料(FGM)模具设计和制造的需求,提出了基于非均匀梯度源的体素建模和双数据模型驱动的轨迹规划新方法。双数据模型中的STL模型用于梯度源设计和几何轨迹生成,体素模型用于材料分布设计和FGM表征建立。通过几何轨迹离散和材料信息检索与融合,生成了熔积成形轨迹。新方法不仅具备多个局部复杂参考特征同时描述的能力,还使得成形轨迹兼具几何精确快速和材料分布复杂的特点。最后通过汽车翼子板模具实例验证了算法的有效性。
In response to the requirements for design and fabrication of FGM mold with complex geometry and irregular material variations,a novel method made up of voxel modeling with non-uniform graded source and path planning was proposed based on dual data model.In the dual data model,the standard tesselation language（STL）model was used to design graded source and create geometric path,and the voxel model latter was used to design material distributions and create FGM representations.Deposition path was finally generated by geometric path discretization and material composition retrieving and blending.The new method may simultaneously represent multiple local reference features with complicated shapes,and making deposition path superior in terms of precision and efficiency for geometric portion and complex distributions for material portions.An example of automobile front fender mold shows its capability and validity.
作者
王湘平
张海鸥
王桂兰
WANG Xiangping ZHANG Haiou WANG Guilan(State Key Lab of Digital Manufacturing Equipment ＆ Technology,Huazhong University of Science ＆ Technology,Wuhan,430074 State Key Lab of Material Processing and Die ＆ Mould Technology, Huazhong University of Science ＆ Technology,Wuhan,430074)
出处
《中国机械工程》
EI
CAS
CSCD
北大核心
2017年第16期1994-1999,共6页
China Mechanical Engineering
基金
国家自然科学基金资助项目(51175203
51374113)
关键词
等离子熔积制造
功能梯度材料
双数据模型
轨迹规划
plasma deposition manufacturing
functionally graded material（FGM）
dual data model
path planning
