Methods and systems for of generating an instantaneous quote of any part without toolpathing
AssigneeProtolabs, Inc.
InventorStefan Emilov Atev
Life of this patent
Estimating the term…
Abstract
Methods and In an aspect a method of generating an instantaneous quote of any part without toolpathing, the method includes receiving, using a computing device, a geometric model of a part, constructing, using the computing device, at least a rotation-invariant feature as a function of the geometric model, predicting, using the computing device, a manufacturing time as a function of the at least a rotation-invariant feature and a manufacturing time machine learning model, selecting, using the computing device, a stock as a function of the at least a rotation-invariant and a stock selection machine learning model feature, and estimating, using the computing device, a quote as a function of the manufacturing time and the stock.
Claims20
A method of generating an instantaneous quote of any part without toolpathing, the method comprising:
- receiving, using a computing device, a geometric model of a part;
- constructing, using the computing device, at least a rotation-invariant feature as a function of the geometric model;
- predicting, using the computing device, a manufacturing time as a function of the at least a rotation-invariant feature and a manufacturing time machine learning model;
- selecting, using the computing device, a stock as a function of the at least a rotation-invariant and a stock selection machine learning model feature;
- and
- estimating, using the computing device, a quote as a function of the manufacturing time and the stock.
A system for generating an instantaneous quote of any part without toolpathing, the system comprising a computing device configured to:
- receive a geometric model of a part;
- construct at least a rotation-invariant feature as a function of the geometric model;
- predict a manufacturing time as a function of the at least a rotation-invariant feature and a manufacturing time machine learning model;
- select a stock as a function of the at least a rotation-invariant and a stock selection machine learning model feature;
- and
- estimate a quote as a function of the manufacturing time and the stock.
Dependencies are inferred from the claim text.