熔融沉积快速成型的支撑优化工艺方法研究
发布时间：2019-01-03 08:35
【摘要】：熔融沉积成型技术(Fused deposition modeling,FDM)近年来在多个领域得到了广泛的应用,但制造过程中的悬空结构需要通过添加支撑用来支持悬空部分使成型过程顺利进行。而支撑结构不仅浪费成型材料,降低成型效率,最后在去除支撑结构时也会破坏制件的表面质量。因此从FDM技术的工艺特点出发,以减少使用支撑结构为目标,通过优化过程规划的工艺参数,提出一种针对熔融沉积成型技术的自适应支撑优化工艺方法。结果表明该方法有效地减少了支撑的使用量。
[Abstract]:Melt deposition molding (Fused deposition modeling,FDM) technology has been widely used in many fields in recent years, but the suspended structure in the manufacturing process needs to be supported by the support of the suspension part to make the forming process go smoothly. The supporting structure not only wastes the molding material and reduces the forming efficiency, but also destroys the surface quality of the parts when the supporting structure is removed. Therefore, according to the process characteristics of FDM technology, aiming at reducing the use of supporting structure, an adaptive support optimization method for melt deposition molding technology is proposed by optimizing the process parameters of process planning. The results show that the method can effectively reduce the use of support.
【作者单位】： 义乌工商职业技术学院机电信息分院;浙江大学机械工程学院;
【基金】：国家自然科学基金创新研究群体项目(51221004)
【分类号】：TH16
本文编号：2399141
[Abstract]:Melt deposition molding (Fused deposition modeling,FDM) technology has been widely used in many fields in recent years, but the suspended structure in the manufacturing process needs to be supported by the support of the suspension part to make the forming process go smoothly. The supporting structure not only wastes the molding material and reduces the forming efficiency, but also destroys the surface quality of the parts when the supporting structure is removed. Therefore, according to the process characteristics of FDM technology, aiming at reducing the use of supporting structure, an adaptive support optimization method for melt deposition molding technology is proposed by optimizing the process parameters of process planning. The results show that the method can effectively reduce the use of support.
【作者单位】： 义乌工商职业技术学院机电信息分院;浙江大学机械工程学院;
【基金】：国家自然科学基金创新研究群体项目(51221004)
【分类号】：TH16
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，本文编号：2399141
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