A method for generating a more accurate mesh that represents a 3D printed part based on a model includes slicing the model into layers and identifying an infill-wall boundary and an exterior-interior boundary of each layer of the model. Layers of the model may be identified as critical by iterative comparison with adjacent layers. An interior voxel mesh may be constructed based on common two-dimensional reference grids imposed on the critical layers. The interior voxel mesh may be augmented to an augmented mesh and then extended to a protomesh. The protomesh may be extruded to construct the final mesh, which may be analyzed by finite element analysis. The part may be 3D printed based on the layers output by the slicing operation.

The invention is generally a system for drying, recycling, and washing off residual resin from three-dimensionally (3D) printed objects. Exemplary systems may include a system for washing off residual printing material from a surface of a 3D-printed. In an exemplary embodiment, a chamber is adapted to receive the 3D-printed object and a printing material disruption module is adapted to disrupt a composition of residual printing material on a surface of the 3D-printed object. Additionally, a washing force module may be adapted to apply a washing force field to the 3D-printed object and wash off the residual printing material.

The invention is generally a system for drying, recycling, and washing off residual resin from three-dimensionally (3D) printed objects. Exemplary systems may include a system for washing off residual printing material from a surface of a 3D-printed. In an exemplary embodiment, a chamber is adapted to receive the 3D-printed object and a printing material disruption module is adapted to disrupt a composition of residual printing material on a surface of the 3D-printed object. Additionally, a washing force module may be adapted to apply a washing force field to the 3D-printed object and wash off the residual printing material.

According to one embodiment, a method, computer system, and computer program product for three-dimensional printing is provided. The embodiment may include analyzing data of a user. The data is collected while the user is performing an activity. The embodiment may include deriving a user behavior model (UBM) of the user based on the analysis of the data. The embodiment may include calculating a relative comfort coefficient (RCC) of the user for the activity based on attributes of the UBM. The embodiment may include predicting adjustments to the attributes of the UBM which result in the RCC exceeding a threshold value. The predicted adjustments are derived using a convolutional neural network classifier. The embodiment may include defining one or more parameters of a tangible component of an object utilized by the user when performing the activity based on the predicted adjustments.

According to one embodiment, a method, computer system, and computer program product for three-dimensional printing is provided. The embodiment may include analyzing data of a user. The data is collected while the user is performing an activity. The embodiment may include deriving a user behavior model (UBM) of the user based on the analysis of the data. The embodiment may include calculating a relative comfort coefficient (RCC) of the user for the activity based on attributes of the UBM. The embodiment may include predicting adjustments to the attributes of the UBM which result in the RCC exceeding a threshold value. The predicted adjustments are derived using a convolutional neural network classifier. The embodiment may include defining one or more parameters of a tangible component of an object utilized by the user when performing the activity based on the predicted adjustments.

A system for managing additive manufacturing (AM) may comprise a datastore configured to store entries pertaining to a design for a three-dimensional (3D) object. The entries may be configured to include a respective set of parameters for an AM process. The parameters may be configured to cause an AM system to produce 3D objects having anisotropic mechanical properties that satisfy specified anisotropic mechanical requirements. The system may further comprise a design manager configured to determine a set of parameters that optimally satisfy the specified requirements, e.g., satisfy the requirements at a minimal cost.

A method of improving production performance of an additive manufacturing system includes obtaining a first production plan and a second production plan, different from the first production plan, for the manufacture of a plurality of objects using a fleet of additive manufacturing apparatus, automatically generating a first allocation of a first quantity of the plurality of objects to the fleet of additive manufacturing apparatus using the first production plan, automatically generating a second allocation of a second quantity of the plurality of objects to the fleet of additive manufacturing apparatus using the second production plan, comparing a production performance of the first and second quantity of the plurality of objects after being manufactured by the fleet of additive manufacturing apparatus, and based on the comparison of the production performance, automatically regenerating the first and second allocations to change the first and second quantities.

A method of improving production performance of an additive manufacturing system includes obtaining a first production plan and a second production plan, different from the first production plan, for the manufacture of a plurality of objects using a fleet of additive manufacturing apparatus, automatically generating a first allocation of a first quantity of the plurality of objects to the fleet of additive manufacturing apparatus using the first production plan, automatically generating a second allocation of a second quantity of the plurality of objects to the fleet of additive manufacturing apparatus using the second production plan, comparing a production performance of the first and second quantity of the plurality of objects after being manufactured by the fleet of additive manufacturing apparatus, and based on the comparison of the production performance, automatically regenerating the first and second allocations to change the first and second quantities.

A manipulator device such as a robot arm that is capable of increasing manufacturing throughput for additively manufactured parts, and allows for the manipulation of parts that would be difficult or impossible for a human to move is described. The manipulator can grasp various permanent or temporary additively manufactured manipulation points on a part to enable repositioning or maneuvering of the part.

A manipulator device such as a robot arm that is capable of increasing manufacturing throughput for additively manufactured parts, and allows for the manipulation of parts that would be difficult or impossible for a human to move is described. The manipulator can grasp various permanent or temporary additively manufactured manipulation points on a part to enable repositioning or maneuvering of the part.