A three-dimensional data generation method of a threaded fastener for three-dimensional additive manufacturing includes: a step of generating first threaded portion data by enlarging three-dimensional data of a threaded portion of a standard threaded fastener along the axial direction of the threaded portion by a factor of 1.0 to 2.5; a step of generating second threaded portion data by duplicating the first threaded portion data; a step of generating third threaded portion data by disposing the first threaded portion data and the second threaded portion data on the same axis such that one ridge in the second threaded portion data is located between two ridges in the first threaded portion data; and a step of generating fourth threaded portion data by extracting a portion with a length from a part in which the first threaded portion data and the second threaded portion data overlap in the third threaded portion data.

An optimization method for a fuel control device structure based on additive manufacturing includes: performing a basic arrangement analysis and a selection of the fuel control device structure; performing an arrangement design of a basic component/interface feature structure according to the basic configuration structure; performing an optimization design for a flow channel structure on the basis of determining structural features of all cores, components and interfaces; performing the optimization design for an outer envelope structure on the basis of the flow channel structure; and checking a calculation and optimizing an iterative design of the fuel control device structure through a finite element tool, and determining a structural scheme of the optimal fuel control device. The optimization method gives full play to the technological advantages of additive manufacturing and determines the optimal structural arrangement and flow channel design scheme to meet the product requirements through pure forward design ideas.

The invention provides a method for preparing a porous rock and a method for quantitatively researching low-amplitude wave propagation by using the porous rock. The invention also provides a method for testing a low-amplitude ultrasonic wave propagation law of the rock by quantitatively researching a pore characteristic of the rock sample prepared by the method for preparing the porous rock. The invention solves a problem that high-precision, repeated and batch customization of rock-like porous medium samples is difficult, and improves precision of quantitatively researching the porous characteristic of the low-amplitude ultrasonic wave propagation law of the rock.

A computing system may include a design access engine and a design processing engine. The design access engine may be configured to access an object design to be constructed through additive manufacturing. The design processing engine may be configured to represent the object design as a combination of coarse geometric elements and high-resolution lattice elements and process the object design based on both the coarse geometric elements and the high-resolution lattice elements. Processing of the object design may include generation of lattice infills, lattice simulations, or a combination of both.

An optimization method for a fuel control device structure based on additive manufacturing includes: performing a basic arrangement analysis and a selection of the fuel control device structure; performing an arrangement design of a basic component/interface feature structure according to the basic configuration structure; performing an optimization design for a flow channel structure on the basis of determining structural features of all cores, components and interfaces; performing the optimization design for an outer envelope structure on the basis of the flow channel structure; and checking a calculation and optimizing an iterative design of the fuel control device structure through a finite element tool, and determining a structural scheme of the optimal fuel control device. The optimization method gives full play to the technological advantages of additive manufacturing and determines the optimal structural arrangement and flow channel design scheme to meet the product requirements through pure forward design ideas.

A robot fleet platform for preparing a job request includes one or more processors configured to execute instructions. The instructions include a job request ingestion system configured to receive job content relating to at least one of picking, packing, moving, storing, warehousing, transporting or delivering of items in a supply chain. The job content includes an electronic job request and related data. The instructions include a job content parsing system configured to apply filters to the received job content to identify candidate portions thereof for robot automation. The instructions include a fleet intelligence layer that activates a set of intelligence services to process terms in the candidate portions of the job content and receive therefrom at least one recommended robot task and associated contextual information. The instructions include a demand intelligence layer that provides real time information relating to a parameter of demand for the items in the supply chain.

A method of determining the orientation of a 3D Model to be generated by an additive manufacturing apparatus having a vat for holding photocurable material; and a platform for holding the 3D object corresponding to the 3D model. The platform is relatively movable with respect to the vat and the method includes a step of defining the surface geometry of the 3D model and the surface geometry includes surface segments s.sub.i.

Systems and methods for calculating a printing time duration and an amount of material consumption required for one or more materials required for printing a tray arrangement including one or more 3D objects using a 3D printing system, including: receiving a 3D model of a tray arrangement including one or more 3D objects to be printed using a 3D printing system; and generating, based on the 3D model, a 3D digital dataset comprising a plurality of data elements arranged in a set of horizontal slices, wherein a slicing resolution of the 3D digital dataset is lower than a printing resolution of the 3D printing system.

An integrated process-structure-property modeling framework for design optimization and/or performance prediction of a material system includes a powder spreading model using a discrete element method (DEM) to generate a powder bed; a thermal-fluid flow model of the powder melting process to predict voids and temperature profile; a cellular automaton (CA) model to simulate grain growth based on the temperature profile; and a reduced-order micromechanics model to predict mechanical properties and fatigue resistance of resultant structures by resolving the voids and grains.

A method comprises: obtaining object model data defining an object or objects to be built by a three-dimensional printing apparatus; determining an effect of carrying out a post-build process on the object or objects, wherein the determining uses the object model data and a computer-implemented evaluation of the post-build process and is carried out prior to building the object or objects, to identify portions of the object or objects that would not be processable by the cleaning process; and outputting an indication of non-processability of portions of the object or objects are determined not to be processable by the post-build process.