| Abstract Scope |
This work aims to showcase the integration of multi-scale and multi-physics computational methods, i.e., Integrated Computational Materials Engineering (ICME), in addressing the key process-structure and structure-property relationships in AM of dissimilar materials. Dissimilar material additive manufacturing via compositional grading using DED or direct joining using LPBF processes may enable optimized functional or structural component performance in e.g., aeronautical, aerospace, and electromobility industries. However, majority multi-material combinations (e.g., Ni-Ti, Al-Cu) have compatibility issues related to detrimental phases and processing difficulties leading to cracking and degraded interface properties, limiting their adoption in critical applications. An ICME framework for accelerated development of multi-materials, gradient paths (phases, composition, layer thickness etc.) and the associated processing parameters for improved joining, interface properties and process efficiency will be demonstrated. This framework can be used to eliminate or reduce costly and time-consuming experimental trials, optimize processing parameters, and identify new multi-material combinations for improved component performance. |