Computational Framework to Evaluate the Relationships between Process Parameters, Grain Structure and Mechanical Properties of Additive Manufactured Materials

增材制造（AM）能够直接从CAD数据中创建高度复杂形状的金属产品，最近受到了广泛关注。增材制造材料具有复杂不均匀的微观结构，对材料性能影响很大。在这方面，预测增材制造材料的微观结构和力学性能是一个重要的研究重点，以面对生产定制组件的挑战。此外，它可能在增材制造工艺优化中发挥关键作用。对增材制造过程中晶粒结构演变进行建模，并在力学模拟中进一步实现增材制造的微观结构，将为优化增材制造工艺提供科学依据，从而改善制造零件的微观组织和性能。因此，开发一种可靠、高效的计算框架来评估增材制造材料的工艺参数、晶粒结构和力学性能之间的关系。该项目旨在开发和应用一种计算方法来模拟铝样品（DFG）增材制造过程中晶粒结构的形成和演变，并随后模拟其变形行为，并明确说明微观结构（RFBR）。选择性激光熔化（SLM），包括粉末层在多晶衬底上的顺序沉积，然后他们的熔化，将被检查。所实现的方法将在介观尺度（DFG）上解释AM过程中微观结构发展和热过程的机制。采用实现的元胞自动机-有限差分方法，研究了经SLM处理的铝合金试样晶粒组织演化的性质和机制。在此基础上，设计了一套基于微观结构的数值计算方法，研究了增材制造铝试样在不同长度尺度载荷作用下的应力应变规律。

Additive manufacturing (AM) enabling metal products of highly complex shape to be created directly from CAD data has been gaining significant attention recently. Additive manufactured materials are characterized by complex inhomogeneous microstructure strongly affecting the material properties. In this connection, the prediction of microstructures and mechanical properties of additive manufactured materials is a significant research focus to face the challenge of producing tailored components. Moreover, it may play a key role in the AM process optimization. Modeling of grain structure evolution during AM and further implementation of the AM microstructures in the mechanical simulations will provide a scientific ground for optimization of the AM regimes to improve the microstructure and properties of the manufactured parts. Thus, the development of a reliable and efficient computational framework to evaluate the relationships between process parameters, grain structure and mechanical properties of additive manufactured materials is pursued.The project aims at development and application of a computational approach to the modeling of grain structure formation and evolution during AM of aluminum specimens (DFG) and subsequent simulation of their deformation behavior with an explicit account of the microstructure (RFBR). Selective laser melting (SLM), which involves sequential deposition of powder layers on a polycrystalline substrate followed by their melting, will be examined. The realized methodology will account for the mechanisms of microstructural development and the thermal processes during AM on the mesoscopic scale (DFG). Using the implemented cellular automata-finite difference method, the nature and mechanisms of grain structure evolution in aluminum alloy specimens processed by SLM will be investigated (DFG). Then a set of microstructure-based numerical calculations is planned to study the stress and strain patterns in additive manufactured aluminum specimens under loading on different length scales (RFBR).