Producing a product, differently detailed structural information about a structure of the product and digital machining information about a machining process are read in. The structural information is examined as to whether a respective item of structural information is given further detail by a respective other structure. A plurality of machining sequences are generated from the structural information and machining information so that an item of structural information from a first machining sequence is given detail by an item of structural information from a second machining sequence. The first machining sequence is transmitted to a first planning module and the second machining sequence is transmitted to a second planning module. The planning modules generate an action sequence as a planning result, which is considered by the second planning module during generation of the action sequence. Control signals are output by the action sequence generated by the second planning module.

A design application generates feasible engineering designs that satisfy criteria associated with a particular engineering problem. The design application receives input that outlines a specific engineering problem to be solved, and then synthesizes a problem specification based on this input. The design application then searches a database to identify different classes of approaches to solving the design problem set forth in the problem specification. The design application then selects one or more such classes of approaches, and generates a spectrum of potential design solutions for each such approach. The generated solutions may then be evaluated to determine the degree to which the problems specification has been met.

Producing a product differently detailed structural information about a structure of the product and digital machining information about a machining process are read in. The structural information is examined as to whether a respective item of structural information is given further detail by a respective other structure. A plurality of machining sequences are generated from the structural information and machining information so that an item of structural information from a first machining sequence is given detail by an item of structural information from a second machining sequence. The first machining sequence is transmitted to a first planning module and the second machining sequence is transmitted to a second planning module. The planning modules generate an action sequence as a planning result, which is considered by the second planning module during generation of the action sequence. Control signals are output by the action sequence generated by the second planning module.

A design application is configured to determine design problem geometry and design criteria associated with a design problem to be solved. Based on this information, the design application identifies one or more design approaches to creating a custom material having specific material attributes needed to solve the design problem. The design application then executes the design approaches to create material designs that reflect one or more custom materials. With these designs as input, a manufacturing machine may then construct physical instances of those custom materials. A given custom material may have a unique combination of material attributes potentially not found among existing materials. Additionally, a design fabricated from a custom material may better satisfy the design criteria than a design fabricated from a known material.

A design application interacts with an end-user to generate design problem geometry that reflects a design problem to be solved. Various design objectives, design constraints, boundary conditions, and other design criteria may be associated with the design problem geometry via the design application. When the design problem is sufficiently well defined, a client-side solver generates a solution approximation using a coarse multi-objective solver. The client-side solver favors speed over accuracy, and so the solution approximation provides only a rough representation of various attributes of potentially feasible design solutions. Based on the solution approximation, the end-user may correct any omissions, mistakes, and so forth, before executing pay-per-service cloud-based parallel solver.

A design application includes a design engine and a tracking engine. The design engine allows end-users to create and modify a design space. The design space includes a spectrum of possible design options, as well as other information related to the process of creating designs. When changes are applied to the design space, the design engine transmits event data to the tracking engine that reflects those changes. The tracking engine, based on the event data, updates a design space timeline. The design space timeline illustrates the evolution of the design space over time.

A design application allows an end-user to define an engineering problem, and then synthesizes a spectrum of design options that solve the engineering problem. The design application then generates various tools to allow the end-user to explore that spectrum of design options. The design application allows the end-user to compare various attributes of each design option, and to filter the spectrum of design options based on those attributes. In response to end-user selections of certain design options, the design application identifies other similar design options, and then displays these design options to the end-user.

A design application generates a spectrum of design options that meet certain design criteria. Each design option may potentially be composed of a different type of material. The design application filters the spectrum of design options for presentation in a graphical user interface (GUI). The GUI illustrates different design options based on material of composition within a parallel axis plot that includes separate axes for different material attributes. The GUI also displays envelopes of design options for each different material or material type, where each envelope has a different color, pattern, opacity, or other visual attribute. A GUI engine dynamically updates the GUI to reflect constraints and other design criteria applied to the spectrum of design options.

A component manufacturing device called Auto-Fab (100) is disclosed. Each Auto-Fab system is a self-contained device including a housing (150), tools (120), robotics (110), sensors (113), and computing functionality (115) that is configured to manufacture a variety of components (160) using various materials available at a location of the Auto-Fab. The Auto-Fab, using the robotics and tools, may be programed to autonomously perform a variety of manufacturing techniques including, but not limited to, deformation, casting, machining, and welding The manufacturing processes used by the Auto-Fab for a particular component may be designed using an iterative feedback method (200; 300) where the manufacturing processes are continuously tweaked and tuned based on a comparison of a manufactured component with predicted attributes.