Siemens Energy Global GmbH & Co. KG (20240351109). QUALITY ASSURANCE IN ADDITIVE MANUFACTURING MONITORING simplified abstract

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QUALITY ASSURANCE IN ADDITIVE MANUFACTURING MONITORING

Organization Name

Siemens Energy Global GmbH & Co. KG

Inventor(s)

Ole Geisen of Berlin (DE)

Hamid Jahangir of Aachen (DE)

QUALITY ASSURANCE IN ADDITIVE MANUFACTURING MONITORING - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240351109 titled 'QUALITY ASSURANCE IN ADDITIVE MANUFACTURING MONITORING

The abstract describes a method for quality assurance in additive manufacturing monitoring, involving the use of primary and redundant sensors, sensor checks, algorithm checks, and logic functions to ensure the manufacturing process is maintained only when certain conditions are met.

  • Primary and redundant sensors are used in an additive manufacturing system.
  • Sensor readings are compared to ensure accuracy.
  • Primary and backup algorithms are executed for each sensor reading.
  • Logic functions are applied to the checked sensor readings to determine if the manufacturing process should continue or be aborted.
  • The process is only maintained when the logic functions read out "true."

Potential Applications: - Quality control in additive manufacturing processes - Ensuring accuracy and reliability in 3D printing - Preventing errors and defects in manufacturing

Problems Solved: - Ensuring the quality and consistency of products in additive manufacturing - Preventing errors and defects that could lead to product failures

Benefits: - Improved quality control in additive manufacturing - Increased reliability and accuracy in 3D printing processes - Reduction of errors and defects in manufacturing

Commercial Applications: Title: "Advanced Quality Assurance System for Additive Manufacturing" This technology can be used in industries such as aerospace, automotive, and medical devices to ensure the quality and reliability of products manufactured through additive manufacturing processes.

Questions about the technology: 1. How does this method improve the quality control in additive manufacturing? - This method improves quality control by using redundant sensors, algorithm checks, and logic functions to ensure the accuracy and reliability of the manufacturing process.

2. What are the potential implications of using this technology in industries like aerospace and automotive? - The use of this technology in industries like aerospace and automotive can lead to higher quality products, increased reliability, and reduced risk of errors or defects.


Original Abstract Submitted

a method for quality assurance in additive manufacturing monitoring includes (i) providing a machine control unit of an additive manufacturing system, the control unit coupled to a primary and a redundant machine sensor, (ii) conducting a sensor check, wherein the primary and redundant sensors are read out and the respective readings of the primary and redundant sensors compared, (iii) conducting an algorithm check, wherein a primary and a backup algorithm are executed for each of the sensor readings, and, (iv) applying a logic and-function with the checked sensor readings as input each with a result of the primary and backup algorithm as input, respectively, wherein a manufacturing process is only maintained when the and-functions read out “true” and wherein, when the and-functions read out “false”, the process is aborted. furthermore, a related additive manufacturing methodology, the machine control unit and a related computer program product are provided.