This symposium will focus on materials science’s role in supporting materials- and manufacturing technologies (MMTs). Historically, materials science transformed MMTs from an all-empirical to an engineering approach with theoretical models and materials characterization. For example, the hardening of metals morphed into the realm of engineering with the advent of precipitation and dislocation theories and electron microscopy. The theory side of materials science and characterization techniques continue to advance and impact MMTs. Complementary materials science branches have grown that harness computing, solid state physics and chemistry to simulate the material behavior or to develop new materials. These computer-based materials science approaches already impact MMTs, but will play an ever increasing role in modern manufacturing. From an industry perspective, help is needed to speed up the development and qualification of products. These needs are now addressed with major initiatives such as the materials genome initiative or the integrated computational materials engineering (ICME) initiative.
The proposed symposium will offer a forum for materials science directed toward support of MMTs. Materials science can support MMT directly, upon simulating, modeling, rationalizing, or characterizing manufacturing processes; or upon using materials science tools to develop new engineered materials. The materials science support for manufacturing processes can aim at different objectives: reducing or eliminating anomalies that develop during the manufacturing process ranks highly in the priority list. Improving, or in case of new manufacturing technologies such as additive manufacturing, developing manufacturing technologies, also ranks very highly in the list of materials science’s ability to support MMTs. Developing new materials has historically been a long and mainly heuristic task that can now be sped up using computational tools. The materials science support for MMTs does not have to be direct, but can aim at progressing the integration of materials science approaches, for example, strategies to use first-principles calculations as input to molecular dynamics simulations, theoretical models, or commercial materials software and vice versa. Better strategies are also needed to decide when computational approaches should be chosen over ever improving experimental characterization techniques or vice versa.