Abstract: A method includes receiving a representation of a near-net shape including a 3D part and a support volume. The method also includes calculating a measure of inaccessibility of the support volume by at least one subtractive tool assembly. The method also includes calculating a measure of change in a physical quantity of interest with respect to a change in the near-net shape. The method also includes constructing a physics-aware inaccessibility measure based at least partially upon the measure of inaccessibility, the measure of change, or both. The method also includes creating a plan to remove at least a portion of the support volume using the at least one subtractive tool assembly based at least partially upon the physics-aware inaccessibility measure.

Abstract: Two or more computational services are defined that each represent a respective different manufacturing capability used to partially create a target part model. A common space shared among the computational services is defined to reference the target part model and manufacturing primitives corresponding to each capability. The computational services are queried to construct a logical representation of the planning space based on intersections among the primitives. One or more process plans are formed using the different manufacturing capabilities to manufacture the part.

Abstract: Quantum field-programmable analog arrays (FPAAs) may be useful in solving differential equations. For example, a quantum FPAA may comprise: an array of computational analog blocks (CABs) configured to perform a mathematical operation; and an interconnection network connecting the CABs, the interconnection network comprising communication paths and switches. Said quantum FPAAs may be useful in integrated chips, computing systems, and related methods.

Abstract: A method includes receiving a representation of a near-net shape including a 3D part and a support volume. The method also includes calculating a measure of inaccessibility of the support volume by at least one subtractive tool assembly. The method also includes calculating a measure of change in a physical quantity of interest with respect to a change in the near-net shape. The method also includes constructing a physics-aware inaccessibility measure based at least partially upon the measure of inaccessibility, the measure of change, or both. The method also includes creating a plan to remove at least a portion of the support volume using the at least one subtractive tool assembly based at least partially upon the physics-aware inaccessibility measure.

Abstract: A method includes receiving a representation of an initial design domain. The method also includes iteratively generating intermediate part designs by redistributing material within the initial design domain. The intermediate part designs each include a 3D part and a support volume. The method also includes calculating a measure of inaccessibility of the support volume of each intermediate part design by at least one subtractive tool assembly. At least one of the intermediate part designs is generated based at least partially upon the measure of inaccessibility of a previous one of the intermediate part designs.

Abstract: A systematic approach to constructing process plans for hybrid manufacturing is provided. The process plans include arbitrary combinations of AM and SM processes. Unlike the suboptimal conventional practice, the sequence of AM and SM modalities is not fixed beforehand. Rather, all potentially viable process plans to fabricate a desired target part from arbitrary alternating sequences of pre-defined AM and SM modalities are explored in a systematic fashion. Once the state space of all process plans has been enumerated in terms of a partially ordered set of states, advanced artificial intelligence (AI) planning techniques are utilized to rapidly explore the state space, eliminate invalid process plans, for instance, process plans that make no physical sense, and optimize among the valid process plans using a cost function, for instance, manufacturing time and material or process costs.

Abstract: A geometry model is defined of a part targeted for a manufacturing operation that includes an additive process followed by a subtractive process. Potential build orientations of the geometry model used in the additive processes are defined, as are one or more removal tools of the subtractive process. For each of the potential build orientations, supports that are used by the additive process at the orientation are determined. One of the build orientations is selected that minimizes portions of one of the supports that are inaccessible via at least one of the removal tools.

Abstract: Two or more computational services are defined that each represent a respective different manufacturing capability used to partially create a target part model. A common space shared among the computational services is defined to reference the target part model and manufacturing primitives corresponding to each capability. The computational services are queried to construct a logical representation of the planning space based on intersections among the primitives. One or more process plans are formed using the different manufacturing capabilities to manufacture the part.

Abstract: Methods and systems (e.g., for generating selecting a model-order reduction (MOR) technique and/or level of granularity for a MOR that provide at least one of: (a) flexible cost-accuracy tradeoffs, (b) a priori error bounds, and (c) a priori preservation of properties that provide physical fidelity) may include: providing governing equations for a physical system; defining quantities of interest (QoI) for the physical system; semi-discretizing the governing equations to obtain a full-order model (FOM) using a state-space representation; applying a MOR technique to the FOM to obtain a family of ROMs with different cost and accuracy tradeoffs, wherein each ROM approximates the FOM with respect to the QoI; and selecting one or more preferred ROMs from the family of ROMs based, at least in part, on the cost and accuracy tradeoffs.

Abstract: Methods and systems for modeling physical systems may use a hybrid approach for surrogate modeling that incorporates both modeling based on physical principles and fitting to data. For example, a method for developing a reduced-order models (ROM) of a physical system may comprise: defining a quantity of interest (QoI) for the physical system; defining a lumped-parameter surrogate (LPS) of the physical system based on physical principles; deriving a topology from the LPS; deriving a governing equation of the ROM from the topology, wherein the governing equation has unknown parameters; collecting data about the QoI of the physical system; and fitting the governing equation based on the data to derive values for the unknown parameters and yield the ROM, wherein the ROM approximates the QoI.

Abstract: One embodiment of the present disclosure provides a system and method for facilitating a search for a hybrid-manufacturing process plan for manufacturing an object. During operation, the system can obtain a set of partial order constraints constraining the order in which a set of at least two manufacturing actions, corresponding to addition or removal of predefined regions of space, appear in a process plan. The system can constrain, based on the set of partial order constraints, a search space. The search space can correspond to a tree in which the nodes represent the object's state and the edges represent available actions at each node. The system can then determine a set of optimized process plans represented by orderings of the actions, corresponding to paths on the search tree, that produce the desired final state in a cost-effective manner.

Abstract: Parameters of a set of tools are stored on a storage device. The tools are part of a manufacturing assembly usable for removing one or more support structures from a part. The support structures are formed with the part to facilitate additive manufacturing of the part. A near-net shape is modeled which includes the part combined with the support structures. A process plan is developed that includes subtractive manufacturing operations by the manufacturing assembly that remove the support structures. The process plan repeatedly updates the near-net shape as each one of the support structures is incrementally removed.

Abstract: The present disclosure is directed to a method and system for hierarchical multi-scale design with the aid of a digital computer. A hierarchical representation of a shape and material distribution is constructed which satisfies a top-level constraint at a top-level of representation. Properties for families of designs at each of the lower levels of representation that satisfy additional constraints link each of the lower levels of representation to at least a next higher level of the representation.

Abstract: Embodiments described herein provide a system for facilitating a process plan for manufacturing an object. During operation, the system can determine a target search space based on a set of constraints. The target search space can include a set of manufacturing actions associated with a manufacturing process of the object. A respective manufacturing action can include an additive or subtractive manufacturing operation corresponding to the addition or removal of a predefined region of the object, respectively. The system can then traverse a set of sequence of actions in the target search space based on a search operation and select a sequence of actions satisfying a target objective as the process plan. A respective sequence of actions can include one or more manufacturing operations capable of producing the object. Subsequently, the system can provide the process plan to a controller configured to manage the manufacturing process of the object.

Abstract: Set differences between an as-designed and an as-manufactured model are computed. Topological deviations between the as-designed model and the as-manufactured model are determined based under-deposition and over-deposition features of the set differences. Based on the discrepancies, an input to a manufacturing instrument is changed to reduce topological differences between the as-manufactured model and the as-designed model.

Abstract: A method of classifying design criteria includes receiving design criteria for a product part. The criteria comprise one or both of performance and manufacturing criteria. The design criteria are sorted into different classes of one or both of one or more objective functions and one or more constraints based on when they can be satisfied or optimized. Constraint violations are determined. A design workflow is produced to generate one or more designs of a part to comply with one or more of satisfying constraints and optimizing objective functions.

Abstract: One embodiment of the present disclosure provides a system for determining a hybrid-manufacturing plan for manufacturing an object. During operation, the system can obtain a set of hybrid-manufacturing constraints for manufacturing the object. The set of hybrid-manufacturing constraints can include a set of primitives, a set of atoms, and an atom end-state vector. An atom can correspond to a unit of spatial volume of the object. A primitive can represent an additive or a subtractive manufacturing process corresponding to one or more atoms of the object. Next, the system can determine a plurality of feasible hybrid-manufacturing plans based on the set of hybrid-manufacturing constraints. Each feasible hybrid-manufacturing plan can represent an ordering of the set of primitives that satisfies the atom end-state vector. The system can then determine costs for manufacturing the object using the plurality feasible hybrid-manufacturing plans.

Abstract: One embodiment of the present disclosure provides a system and method for facilitating a search for a hybrid-manufacturing process plan for manufacturing an object. During operation, the system can obtain a set of partial order constraints constraining the order in which a set of at least two manufacturing actions, corresponding to addition or removal of predefined regions of space, appear in a process plan. The system can constrain, based on the set of partial order constraints, a search space. The search space can correspond to a tree in which the nodes represent the object's state and the edges represent available actions at each node. The system can then determine a set of optimized process plans represented by orderings of the actions, corresponding to paths on the search tree, that produce the desired final state in a cost-effective manner.

Abstract: A method of classifying design criteria includes receiving design criteria for a product part. The criteria comprise one or both of performance and manufacturing criteria. The design criteria are sorted into different classes of one or both of one or more objective functions and one or more constraints based on when they can be satisfied or optimized. Constraint violations are determined. A design workflow is produced to generate one or more designs of a part to comply with one or more of satisfying constraints and optimizing objective functions.

Abstract: A geometry model is defined of a part targeted for a manufacturing operation that includes an additive process followed by a subtractive process. Potential build orientations of the geometry model used in the additive processes are defined, as are one or more removal tools of the subtractive process. For each of the potential build orientations, supports that are used by the additive process at the orientation are determined. One of the build orientations is selected that minimizes portions of one of the supports that are inaccessible via at least one of the removal tools.