Abstract Scope |
A hybrid additive manufacturing (HAM) integrates a multi-axis additive and subtractive process to gain befits from both processes. However, the current HAM process heavily relies on manual geometric reasoning to identify the additive and subtractive features in a non-collision manner. An input model to HAM has diverse information contents and data format, which hinders the feature recognition, extraction, and relations. Thus, the common use of a HAM is hindered by the lack of fully automated tools. Our proposed method integrates the collision-avoidance condition to the model decomposition step; thus, the decomposed volumes can then be associated with additional constraints, such as accessibility, connectivity, and toolpath planning to create an entire workspace for the HAM process ultimately. This approach classifies the uniqueness of automating the HAM system to build large and complex metal components that are non-achievable through traditional single AM/SM in automation and computational efficiency. |