Log in
Enquire now
‌

US Patent 11072043 Layer-based defect detection using normalized sensor data

Patent 11072043 was granted and assigned to SIGMA LABS, INC. on July, 2021 by the United States Patent and Trademark Office.

OverviewStructured DataIssuesContributors

Contents

Is a
Patent
Patent
0

Patent attributes

Patent Applicant
‌
SIGMA LABS, INC.
0
Current Assignee
‌
SIGMA LABS, INC.
0
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
0
Patent Number
110720430
Patent Inventor Names
Mark J. Cola0
Vivek R. Dave0
Date of Patent
July 27, 2021
0
Patent Application Number
154653840
Date Filed
March 21, 2017
0
Patent Citations Received
‌
US Patent 11536671 Defect identification using machine learning in an additive manufacturing system
Patent Primary Examiner
‌
Dana Ross
0
Patent abstract

The disclosed embodiments relate to the monitoring and control of additive manufacturing. In particular, a method is shown for removing errors inherent in thermal measurement equipment so that the presence of errors in a product build operation can be identified and acted upon with greater precision. Instead of monitoring a grid of discrete locations on the build plane with a temperature sensor, the intensity, duration and in some cases position of each scan is recorded in order to characterize one or more build operations.

Timeline

No Timeline data yet.

Further Resources

Title
Author
Link
Type
Date
No Further Resources data yet.

References

Find more entities like US Patent 11072043 Layer-based defect detection using normalized sensor data

Use the Golden Query Tool to find similar entities by any field in the Knowledge Graph, including industry, location, and more.
Open Query Tool
Access by API
Golden Query Tool
Golden logo

Company

  • Home
  • Press & Media
  • Blog
  • Careers
  • WE'RE HIRING

Products

  • Knowledge Graph
  • Query Tool
  • Data Requests
  • Knowledge Storage
  • API
  • Pricing
  • Enterprise
  • ChatGPT Plugin

Legal

  • Terms of Service
  • Enterprise Terms of Service
  • Privacy Policy

Help

  • Help center
  • API Documentation
  • Contact Us
By using this site, you agree to our Terms of Service.