Abstract: Automated fixture layout is approached in two distinct stages. First, the spatial locations of clamping points on the work piece are determined to ensure immobility of the fixtured part under any infinitesimal perturbation. Second, spatial locations are matched against a user-specified library of reconfigurable clamps to synthesize a valid fixture layout or configuration that includes clamps that are accessible and collision free. The spatial locations matching during the second stage can be the same spatial locations chosen in the first stage to ensure immobility, or a different set of spatial locations.

Abstract: Automated fixture layout is approached in two distinct stages. First, the spatial locations of clamping points on the work piece are determined to ensure immobility of the fixtured part under any infinitesimal perturbation. Second, spatial locations are matched against a user-specified library of reconfigurable clamps to synthesize a valid fixture layout or configuration that includes clamps that are accessible and collision free. The spatial locations matching during the second stage can be the same spatial locations chosen in the first stage to ensure immobility, or a different set of spatial locations.

Abstract: A self-aware machine platform is implemented through analyzing operational data of machining tools to achieve machine tool damage assessment, prediction and planning in manufacturing shop floor. Machining processes are first identified by matching similar processes through an ICP algorithm. Machining processes are further clustered by Hotelling's T-squared statistics. Degradation of the machining tool is detected through a trend of the operational data within a cluster of machining processes by a monotonicity test, and the remaining useful life of the machining tool is predicted through a particle filter by extrapolating the trend under a first-order Markov process. In addition, process anomalies across machines are detected through a combination of outlier detection methods including SOMs, multivariate regression, and robust Mahalanobis distance. Warnings and recommendations are flexibly provided to manufacturing shop floor based on policy choice.

Abstract: A Web-based system and method uses a model of the manufacturing setup and knowledge of a designed part with arbitrary geometry to produce process plans in two successive stages. First, the part geometry is analyzed. A query of determining the maximal volume machinable from an oriented machining tool is transformed into determining the visibility of the part surface from the perspective of a hypothetical camera placed at the tip of the oriented machining tool. Second, a collection of the maximal machinable volumes over the set of all tool orientations is collected. Combinations of the maximal machinable volumes covering the entire difference between the raw stock and the desired part are evaluated for providing feedback on manufacturability and process plans. In a further embodiment, manufacturability is analyzed for tools and machines with arbitrary geometric complexity using high dimensional configuration space analysis.

Abstract: Automated fixture layout is approached in two distinct stages. First, the spatial locations of clamping points on the work piece are determined to ensure immobility of the fixtured part under any infinitesimal perturbation. Second, spatial locations are matched against a user-specified library of reconfigurable clamps to synthesize a valid fixture layout or configuration that includes clamps that are accessible and collision free. The spatial locations matching during the second stage can be the same spatial locations chosen in the first stage to ensure immobility, or a different set of spatial locations.

Abstract: A system and a method automate metrology, measurement, and model correction of a three dimensional (3D) model for 3D printability. Slices of the 3D model are received or generated. The slices represent 2D solids of the 3D model to be printed in corresponding print layers. Medial axis transforms of the slices are calculated. The medial axis transforms represent the slices in terms of corresponding medial axes. A local feature size at any point along a boundary of the slices is determined as the shortest distance from the point to a corresponding medial axis.

Abstract: A system and a method assess the three dimensional (3D) printability of a 3D model. Slices of the 3D model are received or generated. The slices represent two dimensional (2D) solids of the 3D model to be printed in corresponding print layers. Further, printing of the slices is simulated to identify corresponding printable slices.

Abstract: A system and a method visualize three dimensional (3D) printability of a 3D model. A 3D printing process of the 3D model is simulated to generate a layered 3D model describing the 3D model as printed. A visual rendering of the layered 3D model is generated, and the visual rendering of the layered 3D model is displayed on a display device.

Abstract: A method is provided for automatically generating an augmented model of a cyber-physical component. Cyber-physical components are built from or depend upon the synergy computational and physical components. The method includes: reading an input model (22) into a processor (10), the input model describing a nominal mode of operation for a physical component modeled by the input model; parsing with the processor the input model to generate a parse thereof; analyzing with the processor the parse of the input model; and automatically writing with the processor an augmented model (42) for the physical component from the input model based on the analysis, the augmented model describing the nominal mode of operation for the modeled physical component and at least one alternate mode of operation for the modeled physical component which is different from the nominal mode of operation.

Abstract: A Web-based system and method uses a model of the manufacturing setup and knowledge of a designed part with arbitrary geometry to produce process plans in two successive stages. First, the part geometry is analyzed. A query of determining the maximal volume machinable from an oriented machining tool is transformed into determining the visibility of the part surface from the perspective of a hypothetical camera placed at the tip of the oriented machining tool. Second, a collection of the maximal machinable volumes over the set of all tool orientations is collected. Combinations of the maximal machinable volumes covering the entire difference between the raw stock and the desired part are evaluated for providing feedback on manufacturability and process plans. In a further embodiment, manufacturability is analyzed for tools and machines with arbitrary geometric complexity using high dimensional configuration space analysis.