METHOD FOR PREDICTING MACHINING QUALITY OF MACHINE TOOL

Patent №

US 9,508,042

Granted

2016-11-29

Filed 2013

Owner

NATIONAL CHENG KUNG UNIVERSITY

Lab

AI components

3

vision · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14069382

A virtual metrology based method for predicting machining quality of a machine tool is provided. In this method, each product accuracy item is correlated with operation paths of the machine tool. During a modeling stage, the machine tool is operated to process workpiece samples, and sample sensing data of the workpiece samples associated with the operation paths are collected during the operation of the machine tool. The sample sensing data of each workpiece sample is de-noised and converted into the sample feature data corresponding to each feature type. The workpiece samples are measured with respect to the product accuracy item and integrated into the feature data for building a predictive model, thereby obtaining quality predicted data for each product accuracy item. During a usage stage, accuracy item values of a workpiece are predicted using the feature data during processing the workpiece in accordance with the predictive models.

AI classification

Planning1.00
Vision1.00
AI hardware0.75
Evolutionary computation0.02
Speech0.00
Knowledge representation0.00
Machine learning0.00
Natural language0.00

Ownership

NATIONAL CHENG KUNG UNIVERSITY

assignment · 315330625

Assignors

YANG, HAW-CHING, TIENG, HAO, HUNG, MIN-HSIUNG, CHENG, FAN-TIEN

On an employer assignment, the assignors are typically the inventors.

From the same owner

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