International Business Machines Corporation (20240351288). METHOD AND SYSTEM FOR RUNTIME CORRECTION OF DEFECTS WITH 3D PRINTED OBJECT WITH PROACTIVE PREPARATION simplified abstract
Contents
- 1 METHOD AND SYSTEM FOR RUNTIME CORRECTION OF DEFECTS WITH 3D PRINTED OBJECT WITH PROACTIVE PREPARATION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD AND SYSTEM FOR RUNTIME CORRECTION OF DEFECTS WITH 3D PRINTED OBJECT WITH PROACTIVE PREPARATION - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Commercial Applications
- 1.9 Questions about 3D Printing Job Monitoring
- 1.10 Original Abstract Submitted
METHOD AND SYSTEM FOR RUNTIME CORRECTION OF DEFECTS WITH 3D PRINTED OBJECT WITH PROACTIVE PREPARATION
Organization Name
International Business Machines Corporation
Inventor(s)
Jeremy R. Fox of Georgetown TX (US)
Jill S. Dhillon of Jupiter FL (US)
Tushar Agrawal of West Fargo ND (US)
Sarbajit K. Rakshit of Kolkata (IN)
METHOD AND SYSTEM FOR RUNTIME CORRECTION OF DEFECTS WITH 3D PRINTED OBJECT WITH PROACTIVE PREPARATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240351288 titled 'METHOD AND SYSTEM FOR RUNTIME CORRECTION OF DEFECTS WITH 3D PRINTED OBJECT WITH PROACTIVE PREPARATION
Simplified Explanation
Embodiments describe monitoring the progress of a 3D printing job using a digital twin to provide real-time corrective actions. The quality of the printed object depends on various conditions of the printer components, such as heating module, nozzle, and vibration levels. The digital twin simulation can detect or predict defects during printing, allowing for timely corrective actions to prevent or fix defects.
- The technology involves monitoring 3D printing jobs using a digital twin.
- Corrective actions can be taken in real-time based on the digital twin's analysis.
- The quality of the printed object is influenced by conditions of printer components.
- The digital twin can detect or predict defects that may occur during printing.
- Timely corrective actions can prevent or fix defects in the 3D printed object.
Potential Applications
This technology can be applied in various industries that utilize 3D printing, such as manufacturing, healthcare, aerospace, and automotive. It can improve the quality and efficiency of 3D printing processes by ensuring the printed objects meet desired specifications.
Problems Solved
This technology addresses issues related to the quality control of 3D printed objects. By monitoring and analyzing the printing process in real-time, it can prevent defects and improve the overall outcome of 3D printing jobs.
Benefits
The benefits of this technology include enhanced quality control, increased efficiency in 3D printing processes, reduced waste of materials, and improved final product outcomes. It can also save time and costs by identifying and addressing potential defects early in the printing process.
Commercial Applications
"Real-time Monitoring and Correction System for 3D Printing Jobs" can be utilized by 3D printing companies, manufacturers, research institutions, and other organizations involved in additive manufacturing. It can streamline production processes, improve product quality, and enhance overall operational efficiency.
Questions about 3D Printing Job Monitoring
How does the digital twin technology improve the quality of 3D printed objects?
The digital twin technology allows for real-time monitoring and analysis of the printing process, enabling timely corrective actions to prevent or fix defects, ultimately leading to higher quality printed objects.
What industries can benefit from the real-time monitoring and correction system for 3D printing jobs?
Industries such as manufacturing, healthcare, aerospace, and automotive can benefit from this technology by improving the quality and efficiency of their 3D printing processes.
Original Abstract Submitted
embodiments herein describe monitoring the progress of a 3d printing job using a digital twin which can provide corrective actions in real time. the quality of a 3d printed object is dependent on the conditions of different components of the 3d printers such as a heating module, a nozzle, and the level of vibration in different parts, etc. to detect problematic conditions that may negatively impact the 3d printing job, a digital twin simulation of the 3d printer can detect or predict what types of defects have (or will) happen as the object is printed. that way, a corrective action can be taken while the object is printed to either prevent a defect or correct a defect in the 3d object.
