17840386. METHODS AND APPARATUS FOR SENSOR-ASSISTED PART DEVELOPMENT IN ADDITIVE MANUFACTURING simplified abstract (General Electric Company)
METHODS AND APPARATUS FOR SENSOR-ASSISTED PART DEVELOPMENT IN ADDITIVE MANUFACTURING
Organization Name
Inventor(s)
Subhrajit Roychowdhury of Cohoes NY (US)
Naresh S. Iyer of Ballston Spa NY (US)
Sanghee Cho of Niskayuna NY (US)
Rogier Sebastiaan Blom of Clifton Park NY (US)
Brent Brunell of Clifton Park NY (US)
Xiaohu Ping of Halfmoon NY (US)
Sharath Aramanekoppa of Bangalore (IN)
METHODS AND APPARATUS FOR SENSOR-ASSISTED PART DEVELOPMENT IN ADDITIVE MANUFACTURING - A simplified explanation of the abstract
This abstract first appeared for US patent application 17840386 titled 'METHODS AND APPARATUS FOR SENSOR-ASSISTED PART DEVELOPMENT IN ADDITIVE MANUFACTURING
Simplified Explanation
The patent application describes methods and apparatus for sensor-based part development in three-dimensional printing.
- The apparatus includes memory, instructions, and processor circuitry.
- The instructions are executed to identify a reference process observable of a computer-generated part.
- Input from at least one sensor is received during three-dimensional printing to identify an estimated process observable using feature extraction.
- At least one three-dimensional printing process parameter is adjusted to reduce an error identified from a mismatch between the estimated process observable and the reference process observable.
Potential Applications
- Three-dimensional printing process optimization
- Quality control in three-dimensional printing
- Real-time monitoring and adjustment of printing parameters
Problems Solved
- Inaccuracies in three-dimensional printing processes
- Lack of real-time feedback during printing
- Difficulty in optimizing printing parameters for desired outcomes
Benefits
- Improved accuracy and precision in three-dimensional printing
- Enhanced quality control and error reduction
- Increased efficiency and optimization of printing processes
Original Abstract Submitted
Methods and apparatus for sensor-based part development are disclosed. An example apparatus includes at least one memory, instructions in the apparatus, and processor circuitry to execute the instructions to identify a reference process observable of a computer-generated part, receive input from at least one sensor during three-dimensional printing to identify an estimated process observable using feature extraction, and adjust at least one three-dimensional printing process parameter to reduce an error identified from a mismatch between the estimated process observable and the reference process observable.
