Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A method of generating a three-dimensional product having a cubic internal structure in a process controlled by a computing device. The method comprises receiving a manufacturing request datum from a user client device, wherein the manufacturing request datum further comprises at least an element of a product definition. The method further comprises defining a lattice volume of the manufacturing request datum, wherein defining the at least a lattice volume further comprises defining at least a lattice cell, wherein the at least a lattice cell is comprised within the lattice volume. The method further comprises determining a response characteristic of each lattice cell of the plurality of lattice cells, wherein determining a response characteristic further comprises simulating the application of at least a force on at least a part of the manufacturing request datum as a function of the product definition. The method further comprises selecting a unit structure.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A support structure includes a discrete object side and a recess in the discrete object side, the recess formed to mate with a fixture side of a workpiece. A method for manufacturing a support structure includes registering a discrete object model to a blank model and forming a recess in a discrete object side of the fixture blank model.

Abstract: A method of in-line automated inspection of a mechanical part comprising receiving a mechanical part datum, orienting the mechanical part datum within a representative inspection system, and examining each face of the plurality of faces of the mechanical part datum, wherein examining each face of the plurality of faces of the mechanical part datum comprises dividing the face into regions as a function of stylus tip data. The method comprises generating a fixture adapter model for the mechanical part datum as a function of a local region of the mechanical part datum, generating a measurement of at least a pair of part geometric data, wherein generating a measurement comprises selecting the at least a pair of part geometric data as a function of the at least an alignment datum and displaying the measurement of at least the pair of part geometric data. The method comprises producing the fixture adapter.

Abstract: An automated manufacturing system for manufacturing a discrete object is configured to manufacture a reference feature on a precursor to the discrete object. Reference feature is used to place the precursor at a subtractive manufacturing machine; the reference feature may be based on a locating feature at the subtractive manufacturing machine. Manufacturing reference feature is accomplished by automatedly detecting one or more critical-to-quality features and manufacturing the reference feature based on the one or more detected critical-to-quality features.

Abstract: A system for manufacturing a discrete object from an additively manufactured body of material including a precursor to a discrete object and at least a reference feature is disclosed. The system includes an automated manufacturing device, the automated manufacturing device including at least a controller configured to receive a graphical representation of precursor to a discrete object, receive a graphical representation of at least a reference feature on the precursor to the discrete object, and generate a computer model of the body of material, wherein the computer model of the body of material includes the graphical representation of the precursor to the discrete object and the graphical representation of the at least a reference feature.

Abstract: Methods involving adding a removable fixating material to a partially manufactured workpiece to stabilize a plurality of partially formed objects therein for subsequent manufacturing. In one example, valleys are formed in a workpiece between adjacent partially formed objects so that interconnecting portions remain to interconnect the partially formed objects. Then, the removable fixating material is installed in the valleys, and once the removable fixating material has hardened, the workpiece is further processed to at least remove the interconnecting portions. In some embodiments, a mold is used to install the removable fixating material into the workpiece. In some embodiments, a prefabricated temporary frame is used for installing the removable fixating material into the workpiece. In some embodiments, a temporary frame is formed from the workpiece along with the plurality of objects during manufacturing.

Abstract: Methods and software for generating machine-control instructions for controlling subtractive manufacturing equipment to form a plurality of objects from a single workpiece. In some embodiments, the machine-control instructions are for milling equipment that mills the objects from a single body of material by milling material from obverse and reverse sides of the body of material. Milling from the obverse side forms valleys in the obverse side and leaves interconnecting portions that connect together the plurality of objects. A removable fixating material is added to the valleys for holding the objects firmly in place relative to one another for milling from the reverse side. After the removable fixating material has hardened, milling from the reverse side removes the interconnecting portions. Milling operations from the obverse and reverse sides can include operations in addition to the forming of the valleys and removing of the interconnecting portions.

Abstract: A process for creating custom fixtures for parts that are to be CNC lathe machined is fully automatic and requires no human interaction. The customer's CAD file is computer analyzed to determine whether the part's dimensions fit within an available CNC lathe turning center for forming out of a cylindrical stock bar. The longitudinal axis is identified, and a set of tool paths is developed for cutting the part from two respective directions. A corresponding tool path is developed for CNC lathe cutting a bushing, preferably from the same bar stock, which generally represents the negative space around circular cross-sections of the part, in monotonically increasing diameters from the first end of the part. The bushing is then used to hold the part in the chuck during machining the second end of the part from the opposite direction.

Abstract: Any issues associated with manufacture of a part are identified and highlighted on a part rendering. A software method and system then uses a visual change cue on the part rendering for communicating the manufacturability issues to the customer. The preferred visual change cue is a throbbing of the highlighting of the manufacturability issue, with the throbbing occurring in both color intensity and size. The part rendering depicts the part translucently, so throbbing manufacturability issues can be readily identified even if obscured behind a more-forward face of the part.

Abstract: Any issues associated with manufacture of a part are identified and highlighted on a part rendering. A software method and system then uses a visual change cue on the part rendering for communicating the manufacturability issues to the customer. The preferred visual change cue is a throbbing of the highlighting of the manufacturability issue, with the throbbing occurring in both color intensity and size. The part rendering depicts the part translucently, so throbbing manufacturability issues can be readily identified even if obscured behind a more-forward face of the part.