Divergent Technologies, Inc. (20240302286). SYSTEMS AND METHODS FOR ADDITIVE MANUFACTURING OPERATIONS simplified abstract

SYSTEMS AND METHODS FOR ADDITIVE MANUFACTURING OPERATIONS

Organization Name

Divergent Technologies, Inc.

Inventor(s)

Vivek R. Dave of Concord NH (US)

Mark J. Cola of Santa Fe NM (US)

R. Bruce Madigan of Butte MT (US)

Alberto Castro of Santa Fe NM (US)

Glenn Wikle of Santa Fe NM (US)

Lars Jacquemetton of Santa Fe NM (US)

Peter Campbell of Albuquerque NM (US)

SYSTEMS AND METHODS FOR ADDITIVE MANUFACTURING OPERATIONS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240302286 titled 'SYSTEMS AND METHODS FOR ADDITIVE MANUFACTURING OPERATIONS

Simplified Explanation

This patent application discusses methods for monitoring photons emitted by a heat source in an additive manufacturing device to predict properties of the produced part.

• Sensor data from monitoring photons can predict metallurgical, mechanical, and geometrical properties of the part.
• Test patterns can be used to calibrate the additive manufacturing device.

Key Features and Innovation

• Monitoring photons emitted by a heat source in additive manufacturing.
• Using sensor data to predict properties of the produced part.
• Calibration of the additive manufacturing device using test patterns.

Potential Applications

This technology can be applied in various industries such as aerospace, automotive, and medical where additive manufacturing is used to produce parts with specific properties.

Problems Solved

• Predicting properties of parts without physical testing.
• Ensuring accurate calibration of additive manufacturing devices.

Benefits

• Improved efficiency in part production.
• Cost savings by reducing the need for physical testing.
• Enhanced quality control in additive manufacturing processes.

Commercial Applications

• "Predictive Part Property Monitoring in Additive Manufacturing" technology can be utilized by additive manufacturing companies to streamline production processes and ensure high-quality parts for their customers.

Questions about Predictive Part Property Monitoring in Additive Manufacturing

What are the potential challenges in implementing this technology in existing additive manufacturing devices?

Implementing this technology in existing additive manufacturing devices may require hardware and software upgrades, as well as training for operators to effectively utilize the predictive capabilities.

How does this technology compare to traditional methods of predicting part properties in additive manufacturing?

This technology offers a non-destructive and real-time method of predicting part properties, which can be more efficient and cost-effective compared to traditional physical testing methods.

Original Abstract Submitted

this disclosure describes various system and methods for monitoring photons emitted by a heat source of an additive manufacturing device. sensor data recorded while monitoring the photons can be used to predict metallurgical, mechanical and geometrical properties of a part produced during an additive manufacturing operation. in some embodiments, a test pattern can be used to calibrate an additive manufacturing device.