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Assembly Design of Additive Manufacturing Products: A Computational Framework for Part Separation

机译:添加剂制造产品的装配设计:部分分离的计算框架

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Additive Manufacturing (AM) allows for the manufacturing of complex geometry parts as a single object regardless of their geometric complexity. However, manufacturing a consolidate object is not always to be better than the assembly approach. There are several practical scenarios which often require an assembly approach, i.e., (1) to achieve specific mechanical functionality in the product and aesthetic aspects; (2) to fit a product component in a predefined buildable space, particularly the case where large-scale products are required to be fitted with a developing platform space; and (3) to improve the additive manufacturing productivity (by minimizing processing time, improving product quality, surface finish and reducing material/support cost).In this paper, a computational framework is proposed to decompose the initial object design into several assemblies with the aim to minimize the total AM processing time. The decomposed components can be arranged into a minimum printing height space, thus it reduces the number of printing layer significantly, yielding to a build-up time reduction even if some time is spent in required assembling operations. Computation framework is implemented for three medium size object geometries. The presented study points out that the part decomposition and assembling approach can considerably reduce the total AM processing time. The methodology supports AM to be extended for a broad range of medium size products, and leads to strengthening the customizability of the products.
机译:添加剂制造(AM)允许制造复杂的几何零件,因为它们的几何复杂性无论其几何复杂程度如何。然而,制造统一对象并不总是比装配方法更好。存在几种实际情况,通常需要装配方法,即(1)在产品和美学方面实现特定的机械功能; (2)以预定义的可融合空间符合产品组件,特别是需要大规模产品的情况下安装有发展的平台空间; (3)提高添加剂制造生产率(通过最小化处理时间,提高产品质量,表面光洁度,降低材料/支撑成本)。本文提出了一种计算框架,将初始物体设计分解为几个组件旨在最大限度地减少总AM处理时间。分解组件可以被布置成最小打印高度空间,因此显着降低了打印层的数量,即使在所需组装操作中花费了一段时间,也会显着降低打印层的数量。计算框架用于三个中尺寸对象几何形状。所提出的研究指出,分解和组装方法的分解和组装方法可以大大降低总AM处理时间。该方法支持是广泛的中等大小产品的延长,并导致加强产品的可定制性。

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