Autodesk, Inc.

Hyundai Motor Company

Kia Corporation

Andrew John Harris

Konara Mudiyanselage Kosala Bandara

Adrian Adam Thomas Butscher

Allin Irving Groom

Michael Grau

Dagmara Lilianna Szkurlat

Hooman Shayani

Andriy Banadyga

Karl Darcy Daniel Willis

David Jonathan Byron

Grey Parker

Andreas Linas Bastian

John W Suh

Prasanna Natarajan

Andriy Banadyha

Anthony Christopher Kipkirui Yegon Ruto

Ernestine Fu

Michael Chen

Kendra Ann Wannamaker

Daniele Grandi

Jacob Viau

Brandon Cramer

A method and system provide the ability to generate models. A generative shelled base is created as a hollow computer-aided design (CAD) design. A t-spline mid-surface shell is created from the generative shelled base, which is then used to create a shell mesh model. A t-spline solid body is created from the generative shelled base, which is used to create an internal support structure that is converted into a shell CAD geometry, which is used to create a support structure mid-surface shell. The support structure mid-surface shell is combined with the shell mesh model into a generative mid-surface mesh that is used in a computer-aided engineering (CAE) crash simulation. The generated shelled base is combined with the shell CAD geometry into a generative shelled solid that is utilized in an additive build simulation.

Generative shell design for simulations

Various embodiments are directed towards techniques for determining materials for computer-generated designs that include generating a query prompt based on an assembly context, transmitting the query prompt to a plurality of large language model (LLM) agents for processing, receiving a plurality of material attribute filters from the plurality of LLM agents, where each LLM generates a different material attribute filter when processing the query prompt, combining the material attribute filters included in the plurality of material attribute filters to produce a material query, querying a material database using the material query to identify at least one potential material to use for a design, evaluating simulation results to determine whether the at least one material is an appropriate material to use for the design.

Filtering materials based on user intent capture using large language models

Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design of physical structures using generative design processes. A method includes: obtaining a design space and design criteria for a modeled object including a design constraint on an acceptable likelihood of failure, wherein a statistical model that relates a structural performance metric to specific likelihoods of failure for material(s) is used to translate between the acceptable likelihood of failure and a value for the structural performance metric; iteratively modifying a generatively designed shape of the modeled object in the design space in accordance with the design criteria including the design constraint to stay under the acceptable likelihood of failure for the physical structure, wherein the numerical simulation includes computing the structural performance metric, which is evaluated against the design constraint; and providing the generatively designed shape of the modeled object for use in manufacturing a physical structure.

Generative design shape optimization based on a target part reliability for computer aided design and manufacturing

Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design of physical structures using generative design processes. A method includes obtaining one or more load cases and one or more design criteria for a modeled object, the one or more design criteria comprising a build material strength model indicating strength relationships between thickness of an object feature and build angle for that object feature resulting from additive manufacturing; iteratively modifying a three dimensional shape of the modeled object in accordance with the one or more design criteria and the one or more load cases, including applying the strength relationships between the thickness of the object feature and the build angle for that object feature on a per-element basis during numerical simulation of the modeled object; and providing the three dimensional shape of the modeled object for use in manufacturing a physical structure.

Generative design shape optimization using build material strength model for computer aided design and manufacturing

Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design of physical structures using generative design processes, where three dimensional (3D) models of the physical structures can be produced to include lattices, hollows, holes, and combinations thereof, include: obtaining design criteria for an object; iteratively modifying 3D topology and shape(s) for the object using generative design process(es) that employ a macrostructure representation, e.g., using level-set method(s), in combination with physical simulation(s) that place void(s) in solid region(s) or solid(s) in void region(s) of the generative model of the object; and providing a 3D model of the generative design for the object for use in manufacturing a physical structure corresponding to the object using one or more computer-controlled manufacturing systems. The providing can include generating instructions for manufacturing machine(s), which can employ various manufacturing systems and techniques, including additive, subtractive and casting manufacturing methods.

Macrostructure topology generation with disparate physical simulation for Computer Aided Design and Manufacturing

Portable robot

A simulation suggestion system comprising a server connected with a plurality of clients via a network. The server executes a design engine for generating designs, a simulation suggestion engine for identifying suggested simulations for the designs, and a simulation engine for performing the suggested simulations on the designs. The simulation engine includes one or more simulation tools for performing one or more suggested simulations on a design. A user completes a design of an object via the design engine. The simulation suggestion engine automatically identifies one or more simulation tools that are appropriate for the completed design based on at least one characteristic of the design. The simulation suggestion engine automatically identifies and loads simulation parameters (boundary conditions) for the suggested simulation tools. The suggested simulation tools are then performed on the completed design via the simulation engine.

Techniques for automatically selecting simulation tools for and performing related simulations on computer-generated designs

Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design of physical structures using generative design processes. A method includes performing numerical simulation of a modeled object in accordance with a current version of the three dimensional shape and the one or more in-use load cases; finding a maximized stress or strain element, for each in-use load cases; determining an expected number of loading cycles for each of the one or more in-use load cases for the physical structure using the maximized stress or strain element and data relating fatigue strength to loading cycles; redefining a fatigue safety factor inequality constraint for the modeled object; computing shape change velocities for an implicit surface in a level-set representation of the three dimensional shape in accordance with at least the fatigue safety factor inequality constraint; and updating the level-set representation using the shape change velocities.

Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design of physical structures using generative design processes. A method includes obtaining a design space for a modeled object, one or more design criteria, one or more in-use load cases, and one or more specifications of material, wherein the design criteria comprise a required number of loading cycles for the modeled object; iteratively modifying a generatively designed three dimensional shape of the modeled object, comprising: performing numerical simulation of the modeled object, finding a maximized stress or strain element for each of the one or more in-use load cases, determining an expected number of loading cycles for each of the one or more in-use load cases, redefining a fatigue safety factor inequality constraint for the modeled object, computing shape change velocities in accordance with at least the fatigue safety factor inequality constraint, and updating the level-set representation.

Generative design shape optimization with damage prevention over loading cycles for computer aided design and manufacturing

Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design of physical structures using generative design processes, where three dimensional (3D) models of the physical structures are produced to include lattices and hollows, include: obtaining design criteria for an object; iteratively modifying 3D topology and shape(s) for the object using a generative design process that represents the 3D topology as one or more boundaries between solid(s) and void(s), in combination with physical simulation(s) with a hollow structure and a lattice representation; adjusting a thickness of the hollow structure; adjusting lattice thickness or density; and providing a 3D model of the generative design for the object for use in manufacturing a physical structure corresponding to the object using one or more computer-controlled manufacturing systems. The providing can include generating instructions for manufacturing machine(s), which can employ various manufacturing systems and techniques, including additive, subtractive and casting manufacturing methods.

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London, United Kingdom

Andrew John Harris