Force-Sensed 3D Print Post-Processing for Error Detection
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Solution Overview
Problem
Existing post-processing methods for additive manufacturing are not fully automated and lack reliable capture and control of critical process parameters, leading to potential issues during cleaning and post-exposure of three-dimensional bodies.
Innovation Solution
A system and method utilizing a force sensor connected to a processing unit to monitor and control the post-processing of three-dimensional bodies, capturing force signals to adjust movement and process parameters, and detect errors, ensuring reliable and automated cleaning and post-exposure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated post-processing is implemented, then productivity is improved, but device complexity increases due to additional sensors and control systems
Solution Approach 1:
The force sensor provides real-time feedback on the build platform's force signals during post-processing operations. The processing unit analyzes these signals to detect errors such as body detachment, cleaning tank contact, or collisions, and automatically adjusts process parameters to maintain optimal processing conditions, enabling fully automated operation with improved productivity
Solution Approach 2:
The patent replaces manual mechanical monitoring and control with an automated sensing and processing system. Force sensors electronically detect physical conditions and the processing unit algorithmically determines process states, substituting human-operated mechanical systems with automated electronic control to increase productivity while managing complexity through software-based solutions
2Reliability
If force sensor monitoring is added to detect process parameters, then reliability is improved, but device complexity increases
Solution Approach 1:
The force sensor continuously monitors force signals on the build platform and provides feedback to the processing unit, which analyzes the signals to detect critical process states such as body detachment, improper positioning, or collisions. This automated feedback mechanism enhances reliability by ensuring consistent detection and response to process deviations without adding complex manual monitoring systems
Solution Approach 2:
The system performs self-diagnosis and self-correction by automatically analyzing force signals and detecting process errors. The processing unit independently determines process states and can trigger automatic responses without external intervention, improving reliability while minimizing the need for additional complex monitoring infrastructure
Data Source
AI summary
A system and method for cleaning and/or post-exposure of a body manufactured by using an additive manufacturing method from a substance curable by radiation, the system including a cleaning tank for cleaning the body and/or an exposure chamber for post-exposure of the body, the system further including a transport device having a drive for moving a build platform relative to the cleaning tank and/or to the exposure chamber. The transport device includes a force sensor, the force sensor captures a force acting on the build platform and provides a force signal, and is connected to a processing unit for controlling the drive and/or for outputting process parameters based on the force signal.