Manufacturing and development platform
Techniques regarding manufacturing one or more digital product designs are provided. For example, one or more embodiments described herein can include a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise a user interface component that generates a manufacturability report regarding a product design in relation to a manufacturing process. The manufacturability report can indicate whether a product feature included in the product design is permissible based on a plurality of manufacturing considerations associated with the manufacturing process.
1. A manufacturing software platform, comprising:
a memory that stores computer executable instructions; and
a processor, operably coupled to the memory, that executes the computer executable instructions, wherein execution of the computer executable instructions causes the processor to:
access a product design, wherein the product design comprises an electronic computer-aided design file illustrating a geometry of the product design and a manufacturing characteristic according to which the product design is desired to be manufactured, wherein the manufacturing characteristic comprises: a manufacturing process according to which the product design is desired to be fabricated; a material from which the product design is desired to be fabricated; a tolerance according to which the product design is desired to fabricated; and a geographic location in which the product design is desired to be fabricated;
execute a machine learning model on both the product design and a previously manufactured product design, wherein both the product design and the previously manufactured product design are fed to an input layer of the machine learning model, wherein both the product design and the previously manufactured product design pass through one or more hidden layers of the machine learning model, and wherein an output layer of the machine learning model produces a similarity score that represents an amount of geometric or manufacturing similarity between the product design and the previously manufactured product design; and
in response to the similarity score satisfying a defined threshold, compute an environmental impact metric associated with manufacturing the product design, based on a previous environmental impact metric corresponding to the previously manufactured product design;
generate an alternative manufacturing characteristic that is predicted to reduce the environmental impact metric to a target environmental impact metric; and
transmit an electronic notification recommending or instructing that the product design be manufactured according to the alternative manufacturing characteristic rather than according to the manufacturing characteristic.
2. The system of claim 1 , wherein execution of the computer executable instructions further causes the processor to:
receive the product design as input data and present a plurality of manufacturing characteristics for selection, wherein the manufacturing characteristic is selected from the plurality of manufacturing characteristics and added to the input data.
3. The system of claim 2 , wherein execution of the computer executable instructions further causes the processor to:
determine an amount of carbon emissions generated by a manufacturing process that utilizes the manufacturing characteristic to manufacture the product design.
4. The system of claim 3 , wherein execution of the computer executable instructions further causes the processor to:
determine an amount of water used by the manufacturing process based on the product design and the manufacturing characteristic.
5. The system of claim 4 , wherein execution of the computer executable instructions further causes the processor to:
determine an amount of energy used by the manufacturing process based on the product design and the manufacturing characteristic.
6. A computer-implemented method, comprising:
accessing, by a device operatively coupled to a processor, a product design, wherein the product design comprises an electronic computer-aided design file illustrating a geometry of the product design and a manufacturing characteristic according to which the product design is desired to be manufactured, wherein the manufacturing characteristic comprises: a manufacturing process according to which the product design is desired to be fabricated; a material from which the product design is desired to be fabricated; a tolerance according to which the product design is desired to fabricated; and a geographic location in which the product design is desired to be fabricated;
executing, by the device, a machine learning model on both the product design and a previously manufactured product design, wherein both the product design and the previously manufactured product design are fed to an input layer of the machine learning model, wherein both the product design and the previously manufactured product design pass through one or more hidden layers of the machine learning model, and wherein an output layer of the machine learning model produces a similarity score that represents an amount of geometric or manufacturing similarity between the product design and the previously manufactured product design;
computing, by the device and in response to the similarity score satisfying a defined threshold, an environmental impact metric associated with manufacturing the product design, based on a previous environmental impact metric corresponding to the previously manufactured product design;
generating, by the device, an alternative manufacturing characteristic that is predicted to reduce the environmental impact metric to a target environmental impact metric; and
transmitting, by the device, an electronic notification recommending or instructing that the product design be manufactured according to the alternative manufacturing characteristic rather than according to the manufacturing characteristic.
7. The computer-implemented method of claim 6 , further comprising:
receiving, by the device, the product design as input data; and
generating, by the device, a plurality of manufacturing characteristics for selection, wherein the manufacturing characteristic is selected from the plurality of manufacturing characteristics and added to the input data.
8. The computer-implemented method of claim 7 , further comprising:
determining, by the device, an amount of carbon emissions generated by a manufacturing process that utilizes the manufacturing characteristic to manufacture the product design.
9. The computer-implemented method of claim 8 , further comprising:
determining, by the device, an amount of water used by the manufacturing process based on the product design and the manufacturing characteristic.
10. The computer-implemented method of claim 9 , further comprising:
determining, by the device, an amount of energy used by the manufacturing process based on the product design and the manufacturing characteristic.
11. A computer program product for analyzing product designs for manufacturing, the computer program product comprising a non-transitory computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to:
access a product design, wherein the product design comprises an electronic computer-aided design file illustrating a geometry of the product design and a manufacturing characteristic according to which the product design is desired to be manufactured, wherein the manufacturing characteristic comprises: a manufacturing process according to which the product design is desired to be fabricated; a material from which the product design is desired to be fabricated; a tolerance according to which the product design is desired to fabricated; and a geographic location in which the product design is desired to be fabricated;
execute a machine learning model on both the product design and a previously manufactured product design, wherein both the product design and the previously manufactured product design are fed to an input layer of the machine learning model, wherein both the product design and the previously manufactured product design pass through one or more hidden layers of the machine learning model, and wherein an output layer of the machine learning model produces a similarity score that represents an amount of geometric or manufacturing similarity between the product design and the previously manufactured product design;
in response to the similarity score satisfying a defined threshold, compute an environmental impact metric associated with manufacturing the product design, based on a previous environmental impact metric corresponding to the previously manufactured product design;
generate an alternative manufacturing characteristic that is predicted to reduce the environmental impact metric to a target environmental impact metric; and
transmit an electronic notification recommending or instructing that the product design be manufactured according to the alternative manufacturing characteristic rather than according to the manufacturing characteristic.
12. The computer program product of claim 11 , wherein the program instructions further cause the processor to:
receive, by the processor, the product design as input data and present a plurality of manufacturing characteristics for selection, wherein the manufacturing characteristic is selected from the plurality of manufacturing characteristics and added to the input data.
13. The computer program product of claim 12 , wherein the program instructions further cause the processor to:
determine, by the processor, an amount of carbon emissions generated by a manufacturing process that utilizes the manufacturing characteristic to manufacture the product design;
determine, by the processor, an amount of water used by the manufacturing process based on the product design and the manufacturing characteristic; and
determine, by the processor, an amount of energy used by the manufacturing process based on the product design and the manufacturing characteristic.