Bimodal Temperature Zone Identification in Additive Manufacturing
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Solution Overview
Problem
In additive manufacturing, existing methods struggle to accurately determine the temperature zones of build materials, particularly distinguishing between fusing and non-fusing zones, which affects the selective solidification process and the quality of the final three-dimensional object.
Innovation Solution
A method involving temperature sensing of sub-regions within a layer of build material using infrared sensors or thermal imaging, determining frequency distributions, and identifying bimodal distributions to distinguish between fusing and non-fusing temperature zones, allowing for the determination of nominal temperatures without external constraints or prior knowledge of the build material's melting point.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If temperature sensing and frequency distribution analysis is implemented to distinguish fusing and non-fusing zones, then manufacturing precision is improved, but device complexity increases
Solution Approach 1:
The patent replaces complex contact-based temperature measurement systems with infrared optical sensing. The infrared sensor detects thermal radiation from the build material without physical contact, and the processor analyzes frequency distributions of temperature data to identify fusing and non-fusing zones. This substitution of mechanical/measurement systems with optical and computational methods achieves high precision temperature zone identification while avoiding the complexity of physical temperature probes and direct contact measurement systems.
2Measurement precision
If infrared sensors are used for non-contact temperature measurement, then measurement precision is improved, but energy consumption increases
Solution Approach 1:
The infrared sensor system utilizes the natural thermal radiation emitted by the build material during the additive manufacturing process. The build material itself serves as the energy source for temperature measurement, as it continuously emits infrared radiation due to its temperature. The sensor system passively detects this self-emitted radiation without requiring external energy input to the sensor, achieving energy-efficient non-contact temperature measurement while maintaining high precision.
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 approach enables precise control of the additive manufacturing process by identifying distinct temperature zones, ensuring effective fusing and maintaining thermal balance, thereby improving the quality and properties of the generated objects, such as strength.
Implementation Method 1
sensing a surface temperature of a quantity of build material within an object generation apparatus
Implementation Method 2
Energy may be applied to preheat the build material to a temperature which is close to its melting point
Implementation Method 3
Energy may also be applied to cause melting, so that regions of the build material may fuse to form portions of an object
Data Source
AI summary
In some examples, a method comprises sensing a temperature of a plurality of sub-regions of a portion of a layer of build material in an object generation apparatus. A frequency distribution of sub-region temperatures may be derived therefrom and it may be determined whether the frequency distribution is bimodal. If the frequency distribution is not bimodal, a build material temperature zone is identified. If however the frequency distribution is bimodal, a fusing build material temperature zone and a non-fusing build material temperature zone are identified. The method may further comprise determining a nominal temperature of the at least one identified temperature zone.