Proto Labs, Inc.

Shuji Usui

Troy David Marusich

Robert Ford

Joshua Knutson

Austin Perry

Samuel Bosak

Jack Allan Rulander

Eelco Hoogendoorn

An apparatus for generating a manufacturability analysis is disclosed. The apparatus includes at least a processor and a memory communicatively connected to the at least a processor. The memory contains instructions configuring the at least a processor to receive a computer model that is representative of a part for manufacture, wherein the computer model comprises a plurality of model based definitions. The memory instructs the processor to transmit the computer model to a graphics processing unit (GPU). The memory instructs the processor to generate a manufacturability analysis as a function of the plurality of the model based definitions, wherein the manufacturability analysis is generated using the GPU. The memory instructs the processor to generate an adjusted computer model as a function of the manufacturability analysis and the computer model.

Apparatus and method for generating a manufacturability analysis

A system for generating an instant design for manufacturability of a part includes a computing device configured to receive a representative part model, wherein the representative part model comprises a plurality of sides, to generate, at a graphics processing unit, a depth buffer model of the representative part model, to determine, at an assignment module operating on the graphics processing unit, each orientation of the plurality of orientations of the representative part model as a function of each depth buffer of the plurality of depth buffers, and to generate, at a simulation module operating on the graphics processing unit, a prospective part, wherein generating a prospective part further comprises generating a simulated casing of the representative part model. The system is further designed and configured to display the prospective part to a user device.

Methods and systems for generating an instant design for manufacturability of a part at a computing device

An apparatus for instantaneous generation of a pin placement quote in an injection molding process, the apparatus comprising at least a processor and a memory containing instructions configuring the at least a processor to receive part data related to at least a part from an entity, generate a pin placement schema as a function of the part data, provide a pin placement quote based on the pin placement schema, wherein providing the pin placement quote includes generating a projected part data by overlaying the pin placement schema onto the part data, determining a list of quote parameters, and formulating the pin placement quote by associating the list of quote parameters with the projected part data, and display the pin placement quote to the entity using a user interface at a display device.

Apparatus and method for instantaneous generation of a pin placement quote in an injection molding process

An apparatus for automatic pin placement in injection molding, the apparatus includes at least a processor and a memory containing instructions configuring the at least a processor to receive part data containing a part model, identify a set of part features as a function of the part data, determine a plurality of pin placement configurations, wherein determining the plurality of pin placement configurations includes determine a plurality of pin locations based on the set of part features and determine a desired pin diameter at each pin location of the plurality of pin locations, generate a pin placement schema as a function of the plurality of pin placement configurations, and integrating the pin placement schema into the part model.

Apparatus and method for automatic pin placement in injection molding

A method for predicting a price of any subtractively manufactured part utilizing artificial intelligence at a computing device. The method comprises receiving a manufacturing request datum, wherein the manufacturing request datum further comprises at least an element of user mechanical part data, selecting a correlated dataset containing a plurality of data entries. The method further comprises generating, at a clustering unsupervised machine-learning model, at least a first correlated compatible part element, receiving, at a supervised machine-learning model, a first training set, generating, at a supervised machine-learning model as a function of the first training set, an external price output, and determining a price ratio output, wherein determining the price ratio output further comprises generating a loss function of a part specific variable and minimizing the loss function.

Methods and systems for predicting a price of any subtractively manufactured part utilizing artificial intelligence at a computing device

Apparatuses and methods for generating a manufacturing quote are provided. Part data for a part to be manufactured is received by a processor, where the part information includes information defining the part or specifying one or more aspects of the part. A model of the part is generated and at least a toolpath to create the part is generated. A manufacturing quote is generated using the model of the part. Feedback regarding part design may be provided and manufacturing of the part may be initiated.

Methods and apparatuses for generating a manufacturing quote

An apparatus for superimposing prints of a part for manufacture onto computer models of the part for manufacture is disclosed. The apparatus includes a processor and a memory communicatively connected to the processor. The memory containing instructions configuring the at least a processor to receive a computer model of the part for manufacture and a print of a part for manufacture. The processor decomposes a side view of the print, matches features of the part for manufacture in the side view to features of the part for manufacture in the computer model, superimposes a first plurality of object lines in the computing model onto a second plurality of object lines in the side view, and transfers the first semantic datum from the side view to the computer model.

Apparatus and methods for superimposing two-dimensional prints onto three-dimensional models of a part for manufacture

Apparatuses and methods for dimensioning and modifying a part to be manufactured are provided. Part information for a part to be manufactured is received by a processor, where the part information includes a model and print of the part. Tolerance datum are extracted from the print and a manufacturability datum is determined as a function of the model and tolerance datum. Updated tolerance datum is generated and a manufacturability of the part is determined. A manufacturing quote and user feedback is provided.

Methods and apparatuses for dimensioning and modifying a part to be manufactured

An apparatus for superimposing two-dimensional drawings of a part for manufacture onto three-dimensional computer models of the part for manufacture is disclosed. The apparatus includes a processor and a memory communicatively connected to the processor. The memory containing instructions configuring the processor to receive a two-dimensional drawing of a part for manufacture and a three-dimensional model of the part for manufacture. The apparatus defines an area of the two-dimensional drawing using a bounding box and extracts a section view from the area of the two-dimensional drawing. The apparatus positions the section view of the two-dimensional drawing at least partially over the three-dimensional model of the part for manufacture and aligns a component of the section view with a corresponding component of the three-dimensional model.

Apparatuses and methods for superimposition of a cross-sectional drawing over a three-dimensional model

A method for geometric analysis of a part for manufacture, the method including receiving, by a processor, a computer model of a part for manufacture; receiving, by the processor, a print of the part for manufacture; extracting, by the processor, a semantic datum from the print of the part for manufacture; mapping, by the processor, the semantic datum on the computer model of the part for manufacture; and generating, by the processor, a manufacturing instruction based on the semantic datum mapped on the computer model of the part for manufacture.

Methods and systems for geometric analysis of a part for manufacture

In an aspect an apparatus for analyzing machinability of a part for manufacture, wherein the apparatus comprises a processor. The processor is configured to receive a representative part model of a part for manufacture. The processor may also be configured to extract a semantic datum from the print of the part for manufacture. A machinability datum is determined as a function of the semantic datum. A manufacturing quote is generated as a function of the machinability datum.

Apparatus and method for analyzing machinability of a part for manufacture

An apparatus for feature recognition of two-dimensional prints is illustrated. The apparatus comprise a processor and a memory communicatively connected to the processor. The memory contains instructions configuring the processor to receive a two-dimensional print of a part for manufacture, scale two-dimensional print so that the two-dimensional print is within a predetermined area, identify a curve feature of the two-dimensional print as a function of scaling of the two-dimensional print, wherein the curve feature comprises a plurality of line segments, and classify a line type of the curve feature using line observations as a function of the curve feature identification.

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Minneapolis, MN, United States of America

Shuji Usui