Using Machine Learning to Predict Part Accuracy Training

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Using Machine Learning to Predict Part Accuracy Training

February 27 @ 10:00 am - 11:30 am

Please join CCAT for this in-person (or virutal) training at our Advanced Technology Center, 409 Silver Lane, East Hartford, CT.

This session will include the architecture for setting up a CNC machine to collect high-frequency machine signals using Machine Learning to correlate the data with post inspection data so that accurate predictions of feature dimensions can be made during the manufacturing process.

Part two of this series will be offered in June (TBD) and will focus on a more in depth review of how the data collected can be used for adaptive control.

Presenters
Nasir Mannan, CCAT Principal Engineer
Ruby Elkharboutly, Engineer

Learning Objectives
Become familiar with current capabilities as well as near term capabilities
Learn what hardware and software you would need to connect your equipment
Quantify anticipated ROI for your use case
Gain first person experience on a metal part with real data

Target Audience
Manufacturers using CNC equipment, high mix low volume as well low mix high volume
Machine floor supervisors, machine operators and set-up programmers
Shop Floor, Quality and Metrology engineers, technicians and management

View Webinar Recording 

Learn More
There are a variety of grant programs available to help Connecticut manufacturers acquire the skills, tools, and resources needed to keep pace with today’s rapidly evolving manufacturing ecosystem. Programs are funded by the Connecticut Department of Economic and Community Development and administered by CCAT. Visit ccat.us/programs to learn more and apply.

For more information about upcoming CCAT events, visit ccat.us/events.  Before registering, please visit CCAT’s Privacy Policy. 

 

CCAT’s Advanced Technology Center (ATC) is located at the Raytheon Technologies Research Center which is adjacent to The Pratt & Whitney Campus at 409 Silver Lane, East Hartford, CT. CCAT is an export control facility and all visitors at CCAT’s Advanced Technology Center will be required to sign in and present proof of citizenship. Acceptable forms for identification include a verified license/ID, passport, green card, or birth certificate. Visitors who are citizens of an embargoed country and do not have a valid US Green Card will not be permitted in the facility.  CCAT follows all current CDC, State of Connecticut and Town of East Hartford, CT COVID protocols.

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Details

Date:
February 27
Time:
10:00 am - 11:30 am
Event Categories:
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Organizer

CCAT ATC
Phone:
860-610-0478
Email:
atcinfo@ccat.us
Website:
www.ccat.us

Venue

CCAT Advanced Technology Center
409 Silver Lane
East Hartford, CT 06118 United States
Phone:
(860) 610 0478
Website:
https://www.ccat.us/amc