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Siemens Aktiengesellschaft (20240246151). Methods for Additive Manufacturing of a Component simplified abstract

From WikiPatents

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 20240246151 titled 'Methods for Additive Manufacturing of a Component

Simplified Explanation: The patent application describes a method for additive manufacturing of a component using sensors and a digital twin to identify and eliminate anomalies during the manufacturing process.

  • Key Features and Innovation:
   * Creation of a machine code and transmission to a controller.
   * Monitoring the manufacturing process with sensors.
   * Establishing a digital twin of the component from sensor data.
   * Predicting the position of the print head using the machine code.
   * Analyzing the working area around the predicted position to detect anomalies.
   * Adjusting process parameters to eliminate anomalies in real-time.

Potential Applications: This technology can be applied in various industries such as aerospace, automotive, and healthcare for the additive manufacturing of complex components with high precision and quality control.

Problems Solved: This technology addresses the challenge of detecting and eliminating anomalies during the additive manufacturing process, ensuring the production of high-quality components.

Benefits: The benefits of this technology include improved manufacturing efficiency, reduced waste, enhanced quality control, and the ability to produce complex components with minimal defects.

Commercial Applications: Potential commercial applications of this technology include the production of customized medical implants, lightweight aerospace components, and high-performance automotive parts.

Prior Art: Prior art related to this technology may include research on real-time monitoring and control systems for additive manufacturing processes, as well as studies on digital twins in manufacturing.

Frequently Updated Research: Researchers are continuously exploring new sensor technologies, machine learning algorithms, and process optimization techniques to enhance the capabilities of additive manufacturing systems.

Questions about Additive Manufacturing: 1. How does the use of sensors and digital twins improve the additive manufacturing process? 2. What are the potential challenges in implementing real-time anomaly detection and correction in additive manufacturing?


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.

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