Thermal Modeling of Direct Digital Melt-Deposition Processes

• Published in: Journal of materials engineering and performance Vol. 20; no. 1; pp. 48 - 56
• Main Authors: Cooper, K. P., Lambrakos, S. G.
• Format: Journal Article
• Language: English
• Published: Boston Springer US 01.02.2011; Springer Nature B.V
• Subjects: Anisotropy; Characterization and Evaluation of Materials; Chemistry and Materials Science; Corrosion and Coatings; Deposition; Digital; Engineering Design; Functionally gradient materials; Materials Science; Mathematical models; Quality Control; Reliability; Safety and Risk; Thermophysical properties; Three dimensional; Tribology; melt deposition; microstructure; solidification; thermal modeling
• ISSN: 1059-9495; 1544-1024
• DOI: 10.1007/s11665-010-9659-4

Additive manufacturing involves creating three-dimensional (3D) objects by depositing materials layer-by-layer. The freeform nature of the method permits the production of components with complex geometry. Deposition processes provide one more capability, which is the addition of multiple materials in a discrete manner to create “heterogeneous” objects with locally controlled composition and microstructure. The result is direct digital manufacturing (DDM) by which dissimilar materials are added voxel-by-voxel (a voxel is volumetric pixel) following a predetermined tool-path. A typical example is functionally gradient material such as a gear with a tough core and a wear-resistant surface. The inherent complexity of DDM processes is such that process modeling based on direct physics-based theory is difficult, especially due to a lack of temperature-dependent thermophysical properties and particularly when dealing with melt-deposition processes. In order to overcome this difficulty, an inverse problem approach is proposed for the development of thermal models that can represent multi-material, direct digital melt deposition. This approach is based on the construction of a numerical-algorithmic framework for modeling anisotropic diffusivity such as that which would occur during energy deposition within a heterogeneous workpiece. This framework consists of path-weighted integral formulations of heat diffusion according to spatial variations in material composition and requires consideration of parameter sensitivity issues.