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Part-scale build orientation optimization for minimizing residual stress and support volume for metal additive manufacturing: Theory and experimental validation

机译:零件尺度建立方向优化,以最大限度地减少金属添加剂制造的残余应力和支持体积:理论与实验验证

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Laser powder bed metal additive manufacturing (AM) has been widely accepted by the industry to manufacture end-use components with complex geometry to achieve desirable performance (i.e. conformal cooling). However, residual stress and large deformation introduced in the laser AM process lead to severe issues, such as cracks, delamination, and large deformation. These issues result in the stoppage of powder spreading and warpage of the component. To overcome these issues, a novel optimization framework based on fast process modeling is proposed to find the optimal build orientation by minimizing the maximum residual stress and support structure volume. For support generation, a voxel-based methodology is proposed to systematically capture support surfaces from STL file, form support structure, and generate Cartesian mesh for fast process modeling. Instead of using conformal mesh, the voxel-based fictitious domain method is used to calculate the stress distribution in the design domain including the support structure, which is represented by the homogenized model. This can circumvent time-consuming mesh generation for geometrically complex geometry and its support structure during the optimization iterations, thus making it possible to minimize residual stress through orientation optimization based on process modeling. Due to its self-supporting and open-cell nature, lattice structure is employed as the support structure to anchor the overhangs to the substrate to prevent distortion resulting from residual stress. Asymptotic homogenization (AH) method is employed to compute the effective properties of lattice structure, while a multiscale model is proposed to compute the yield strength. In particular, the multi-objective optimization including both the residual stress and support volume is discussed and investigated in this work. Experimental validation is conducted on a realistic component with some geometric complexity. By comparing the component and support structure without build orientation optimization, it is found that the proposed framework can significantly reduce the influence of the residual stress on the printed part, ensure the manufacturability of the design, and decrease the material consumption for the sacrificial support structure simultaneously. (C) 2019 Elsevier Ltd. All rights reserved.
机译:激光粉床金属添加剂制造(AM)已被行业广泛接受,以制造具有复杂几何形状的最终用途组件,以实现所需的性能(即保形冷却)。然而,激光AM过程中引入的残余应力和大变形导致严重的问题,例如裂缝,分层和大变形。这些问题导致粉末扩散和组件的翘曲。为了克服这些问题,提出了一种基于快速过程建模的新颖优化框架,通过最小化最大的残余应力和支持结构体积来找到最佳的建立方向。对于支持生成,提出了一种基于体素的方法来系统地从STL文件中捕获支持表面,形成支持结构,并为快速过程建模生成笛卡尔网格。代替使用基于体素的虚拟结构域方法来计算包括支撑结构的设计域中的应力分布,其由均质模型表示。这可以在优化迭代期间对几何复杂几何形状及其支持结构来绕几何复杂几何和其支持结构来规避耗时的网格生成,从而可以通过基于过程建模来最小化通过定向优化的残余应力。由于其自支撑和开放式细胞性质,用晶格结构作为支撑结构,以将悬垂锚固到基板上以防止由残余应力引起的失真。采用渐近均质化(AH)方法来计算晶格结构的有效性能,而提出了多尺度模型来计算屈服强度。特别地,在这项工作中讨论并研究了包括残余应力和支撑体积的多目标优化。实验验证在具有一些几何复杂性的现实组件上进行。通过比较没有建立方向优化的组件和支持结构,发现所提出的框架可以显着降低剩余应力对印刷部分的影响,确保设计的可制造性,并降低牺牲支撑结构的材料消耗同时。 (c)2019年elestvier有限公司保留所有权利。

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