18564212. Methods for Additive Manufacturing of a Component simplified abstract (Siemens Aktiengesellschaft)

Methods for Additive Manufacturing of a Component

Organization Name

Siemens Aktiengesellschaft

Inventor(s)

Raven Thomas Reisch of München (DE)

Tobias Hauser of Bubesheim (DE)

Tobias Kamps of München (DE)

Methods for Additive Manufacturing of a Component - A simplified explanation of the abstract

This abstract first appeared for US patent application 18564212 titled 'Methods for Additive Manufacturing of a Component

The abstract describes a method for additive manufacturing of a component, involving creating machine code, transmitting it to a controller, starting the manufacturing process with a print head, monitoring the process with sensors, identifying anomalies, creating a digital twin, predicting print head position, analyzing the working area, and adjusting process parameters to eliminate anomalies.

• Creating machine code and transmitting it to a controller
• Starting an additive manufacturing process with a print head
• Monitoring the process with sensors
• Identifying anomalies in the component during manufacturing
• Establishing a digital twin of the component from sensor data
• Predicting print head position using machine code
• Analyzing the working area for anomalies using the digital twin
• Adjusting process parameters to eliminate anomalies

Potential Applications: - Additive manufacturing industry - Quality control in manufacturing processes - Predictive maintenance in industrial settings

Problems Solved: - Identifying anomalies in components during manufacturing - Improving process efficiency and quality control - Enhancing predictive maintenance capabilities

Benefits: - Increased manufacturing process efficiency - Improved component quality and reliability - Cost savings through early anomaly detection

Commercial Applications: Title: "Advanced Additive Manufacturing Process Optimization" This technology can be used in industries such as aerospace, automotive, and healthcare for producing high-quality components with minimal defects. It can also be applied in research and development for prototyping and testing new designs.

Prior Art: Prior research in additive manufacturing process optimization and anomaly detection can provide valuable insights into similar technologies and approaches in the field.

Frequently Updated Research: Stay updated on the latest advancements in additive manufacturing process optimization, anomaly detection algorithms, and digital twin technology to enhance the efficiency and effectiveness of this method.

Questions about Additive Manufacturing Process Optimization: 1. How does this method improve the quality control in additive manufacturing processes? - This method enhances quality control by identifying anomalies in components during the manufacturing process, allowing for real-time adjustments to eliminate defects. 2. What are the potential cost-saving benefits of using this technology in industrial settings? - The technology can lead to cost savings by reducing scrap and rework, improving overall process efficiency, and minimizing downtime due to component defects.

Original Abstract Submitted

Various embodiments of the teachings herein include a method for additive manufacturing of a component. An example method includes: creating a machine code and transmitting the machine code to a controller; starting an additive manufacturing process to build the component using a print head; monitoring the process with sensors; evaluating sensor data to identify anomalies in the component during the manufacturing process; establishing a parallel digital twin of the component from sensor data comprising position data of the anomaly; predicting a position of the print head at a specific time using the machine code; analyzing a working area around the predicted position with respect to anomalies present using the digital twin; and adjusting process parameters of the manufacturing process when the working area is reached to eliminate the anomaly.