Sentient Science Corporation (20240293870). SYSTEMS AND METHODS FOR DEFECT DETECTION AND CORRECTION IN ADDITIVE MANUFACTURING PROCESSES simplified abstract
Contents
SYSTEMS AND METHODS FOR DEFECT DETECTION AND CORRECTION IN ADDITIVE MANUFACTURING PROCESSES
Organization Name
Inventor(s)
Jingfu Liu of Prior Lake MN (US)
Behrooz Jalalahmadi of Long Island City NY (US)
Ziye Liu of West Lafayette IN (US)
Andrew Vechart of Minnetrista MN (US)
SYSTEMS AND METHODS FOR DEFECT DETECTION AND CORRECTION IN ADDITIVE MANUFACTURING PROCESSES - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240293870 titled 'SYSTEMS AND METHODS FOR DEFECT DETECTION AND CORRECTION IN ADDITIVE MANUFACTURING PROCESSES
The abstract describes a system and method for additive manufacturing using a powder-based device to create products by adding sequential layers of material on top of one another. The system includes a defect analysis subsystem to monitor each layer for defects and correct them if necessary before moving on to the next layer.
- Additive manufacturing system for creating products with sequential layers of material
- Defect analysis subsystem to monitor and correct defects in each layer
- Correction parameters identified for defect correction
- Correction command sent to the additive manufacturing device to correct defects
- Ensures high-quality output by addressing defects in real-time
Potential Applications: - Manufacturing of complex parts with high precision - Prototyping and rapid product development - Customized manufacturing for various industries such as aerospace, automotive, and healthcare
Problems Solved: - Ensures product quality by detecting and correcting defects during the manufacturing process - Reduces the need for post-processing and rework - Increases efficiency and accuracy in additive manufacturing
Benefits: - Improved product quality and consistency - Cost savings by reducing rework and material waste - Faster production times and increased productivity
Commercial Applications: Title: Real-time Defect Correction in Additive Manufacturing This technology can be used in industries such as aerospace, automotive, and medical devices for high-precision manufacturing of complex parts. It can also be valuable in research and development for rapid prototyping and customized production.
Prior Art: Prior art related to this technology may include research papers, patents, and publications on real-time defect detection and correction in additive manufacturing processes. Researchers and industry experts in the field of additive manufacturing may have explored similar concepts and technologies.
Frequently Updated Research: Researchers are constantly exploring new methods and technologies to improve additive manufacturing processes, including real-time defect detection and correction. Stay updated on the latest advancements in this field to enhance manufacturing capabilities and product quality.
Questions about Real-time Defect Correction in Additive Manufacturing: 1. How does real-time defect correction improve the overall quality of additive manufacturing products? - Real-time defect correction ensures that any issues are addressed immediately, leading to higher quality and more consistent output. 2. What are the key parameters used for defect correction in additive manufacturing processes? - Correction parameters may include factors such as layer thickness, material composition, and temperature control to address defects effectively.
Original Abstract Submitted
a system and method of additive manufacturing is disclosed herein which when run or performed form a product with a powder-based additive manufacturing device by adding sequential layers of material on top of one another. as each sequential layer of material is added, the system and method can include monitoring the sequential layer with a defect analysis subsystem to detect whether the sequential layer has any defects. for a detected defect, it can be determined whether defect correction is required. for a required defect correction, one or more correction parameters for the required defect correction can be identified; and a correction command including the one or more correction parameters can be sent to the additive manufacturing device, the correction command causing the additive manufacturing device to help correct the detected defect in the sequential layer according to the correction parameters prior to moving on to a next sequential layer.
