Divergent Technologies, Inc. (20240326326). MULTI-SENSOR QUALITY INFERENCE AND CONTROL FOR ADDITIVE MANUFACTURING PROCESSES simplified abstract

MULTI-SENSOR QUALITY INFERENCE AND CONTROL FOR ADDITIVE MANUFACTURING PROCESSES

Organization Name

Divergent Technologies, Inc.

Inventor(s)

Vivek R. Dave of Concord NH (US)

David D. Clark of Santa Fe NM (US)

Matias Roybal of Santa Fe NM (US)

Mark J. Cola of Santa Fe NM (US)

Martin S. Piltch of Los Alamos NM (US)

R. Bruce Madigan of Butte MT (US)

Alberto Castro of Santa Fe NM (US)

MULTI-SENSOR QUALITY INFERENCE AND CONTROL FOR ADDITIVE MANUFACTURING PROCESSES - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240326326 titled 'MULTI-SENSOR QUALITY INFERENCE AND CONTROL FOR ADDITIVE MANUFACTURING PROCESSES

The invention described in this patent application is a multi-sensor quality inference system for additive manufacturing. It is capable of addressing three main quality issues: process anomalies, process variations, and material structure and properties. The system gathers sensor data to evaluate and control additive manufacturing operations in real time, focusing on observations made in a Lagrangian frame of reference.

• Quality inference system for additive manufacturing
• Addresses process anomalies, process variations, and material structure and properties
• Sensor data used for real-time evaluation and control of operations
• Observations made in a Lagrangian frame of reference
• Focus on improving additive manufacturing quality and efficiency

Potential applications of this technology include enhancing the quality control processes in additive manufacturing, improving the overall efficiency of production, and reducing material waste.

This technology solves the specific problems of process anomalies, process variations, and material quality issues in additive manufacturing, leading to higher quality end products and more efficient production processes.

The benefits of this technology include improved product quality, reduced waste, increased efficiency, and enhanced control over additive manufacturing processes.

Commercial Applications: Title: Advanced Quality Control System for Additive Manufacturing This technology can be applied in industries such as aerospace, automotive, medical, and consumer goods manufacturing to improve the quality and efficiency of additive manufacturing processes.

Questions about Multi-Sensor Quality Inference System for Additive Manufacturing:

1. How does the system address process anomalies in additive manufacturing? The system is capable of discerning and addressing extreme unpredictable events uncorrelated to process inputs, ensuring a more stable manufacturing process.

2. What are the potential benefits of using a multi-sensor quality inference system in additive manufacturing? The system can lead to higher quality end products, reduced material waste, increased efficiency, and better control over the manufacturing process.

Original Abstract Submitted

this invention teaches a multi-sensor quality inference system for additive manufacturing. this invention still further teaches a quality system that is capable of discerning and addressing three quality issues: i) process anomalies, or extreme unpredictable events uncorrelated to process inputs; ii) process variations, or difference between desired process parameters and actual operating conditions; and iii) material structure and properties, or the quality of the resultant material created by the additive manufacturing process. this invention further teaches experimental observations of the additive manufacturing process made only in a lagrangian frame of reference. this invention even further teaches the use of the gathered sensor data to evaluate and control additive manufacturing operations in real time.