Additive Manufacturing Robot Extruder Path Control
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Solution Overview
Problem
Additive manufacturing processes for technical polymers face inefficiencies due to varying material characteristics and non-optimal parameter usage, leading to long processing times and inefficiencies, especially when dealing with large objects and high flow rates, resulting in exponential increases in production times.
Innovation Solution
A system comprising an anthropomorphic industrial robot with an extruder, sensors for detecting operating parameters, and state regulation means, along with a control unit that modifies the extruder's path based on detected parameters to ensure efficient processing, including temperature and position adjustments, and compaction elements for material regulation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional additive manufacturing systems are used with fixed parameters, then material consistency is maintained, but processing time increases exponentially when materials are changed
Solution Approach 1:
The system dynamically adapts extrusion parameters based on real-time material characterization. Sensors continuously monitor material properties (viscosity, temperature, flow rate) and the control unit automatically adjusts extrusion speed, temperature, and other parameters to optimize processing speed for each specific material, eliminating the need for manual re-parameterization when materials are changed.
Solution Approach 2:
The system implements real-time feedback control by monitoring material behavior during extrusion and automatically adjusting parameters. Sensors detect material properties and process conditions, feed this information back to the control unit, which then modifies extrusion parameters to maintain optimal processing speed regardless of material variations.
2Productivity
If high flow rates are used for large objects, then production efficiency improves, but processing time increases due to material behavior variability
Solution Approach 1:
The system performs self-characterization of materials during the extrusion process itself. Sensors monitor material flow, temperature, and other properties in real-time, and the control unit automatically adjusts parameters to maintain extrusion consistency at high flow rates, eliminating the need for separate pre-characterization steps.
Solution Approach 2:
The system dynamically changes extrusion parameters (temperature, speed, flow rate) based on real-time material behavior detection. This allows maintaining optimal extrusion consistency even at high flow rates required for large objects, by continuously adapting parameters to match actual material properties.
3Manufacturing precision
If manual parameter adjustment is performed for each material change, then material-specific optimization is achieved, but production time increases exponentially
Solution Approach 1:
The system automatically characterizes materials and optimizes parameters without human intervention. Sensors detect material properties during extrusion, and the control unit autonomously determines optimal parameters, eliminating the need for manual re-parameterization when materials are changed and reducing production time exponentially.
Solution Approach 2:
The system replaces manual parameter adjustment (mechanical/human operation) with automated sensor-based detection and control unit processing. This substitution of manual operations with automated systems eliminates re-parameterization time while maintaining material-specific optimization.
4Manufacturing precision
If real-time sensor monitoring and path modification are implemented, then product quality is maintained, but system complexity increases
Solution Approach 1:
The system uses a multi-functional control unit that handles both standard extrusion control and real-time parameter optimization. The same control unit processes sensor data, modifies extrusion paths, and adjusts parameters, reducing the need for separate dedicated components and minimizing system complexity while maintaining product quality.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This solution significantly reduces processing times, improves interlayer welding, and maintains product quality by real-time monitoring and feedback control, enabling the production of large objects in 2.5 to 4 hours, with enhanced dimensional and microstructural properties.
Implementation Method 1
at least one temperature sensor and/or a position sensor... The at least one temperature sensor is selected from: infrared, thermal camera, pyrometer, laser sensors
Implementation Method 2
the at least one position sensor is selected from: a triangulation laser scanner, laser pointer, confocal sensor, stereoscopy, time-of-flight cameras
Implementation Method 3
The control unit is also configured to modify the path of the extruder as a function of at least two parameters of the plurality of parameters detected by the plurality of sensors
Implementation Method 4
the state regulation means are temperature regulators configured to change the temperature of the extruded material
Data Source
Figure 1~2
Figure 3a
Figure 3b
AI summary
A system for additive manufacturing processes includes an anthropomorphic robot, an extruder mounted on the robot, sensors for detecting a plurality of parameters related to an additive manufacturing process, means for regulating the state of a material extruded from the extruder and a control unit configured to control an extruder path; the control unit is configured to determine the extruder path and/or the deposition strategies of the material according to at least two parameters detected by the sensors.