Additive Manufacturing Parameter Space for Keyhole Porosity Validation
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Solution Overview
Problem
The iterative and trial-and-error process in additive manufacturing can require numerous iterations to achieve components with acceptable quality, especially in applications like aircraft components, which can take months or years, due to the complexity of parameters affecting flaws such as keyhole porosity and lack of fusion.
Innovation Solution
An apparatus and method that utilize a processor to categorize additive manufacturing operations based on normalized parameters like beam power, velocity, and powder bed thickness, defining a multi-dimensional space to validate sequences of operations as flaw-free, thereby reducing the need for physical prototyping and iterations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If an iterative trial-and-error process is used to optimize additive manufacturing parameters, then manufacturing precision can be improved, but the time required increases substantially (months or years)
Solution Approach 1:
The system performs preliminary classification of operations as flaw-free or flawed based on pre-established criteria and multidimensional spaces before actual manufacturing. By evaluating operations against predefined parameter ranges and flaw conditions in advance, the system eliminates the need for lengthy iterative testing while ensuring manufacturing precision is maintained.
2Manufacturing precision
If numerous iterations are performed to achieve acceptable quality in low-tolerance components, then manufacturing precision improves, but productivity decreases
Solution Approach 1:
The system creates virtual models and simulations of additive manufacturing operations to evaluate potential flaws before physical manufacturing. By using computational models that replicate the manufacturing process and predict outcomes, the system achieves high-quality results without requiring multiple physical iterations, thereby maintaining both precision and productivity.
3Reliability
If empirical prototyping is extensively used to validate operations, then reliability of the manufacturing process improves, but the cost and time increase significantly
Solution Approach 1:
The system replaces physical empirical prototyping with computational evaluation methods. By using software-based assessment of operations against predefined criteria and multidimensional parameter spaces, the system validates manufacturing processes reliably without the time and resource costs associated with extensive physical testing.
Data Source
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AI summary
A method of evaluating and validating additive manufacturing operations includes generating a multidimensional space (340; 440; 540) defined by a plurality of bounds (330; 430; 530, 550), each of the bounds (330; 430; 530, 550) being defined on a distinct parameter of an additive manufacturing process and each of the parameters affecting the occurrence of a keyhole porosity flaw (630), each of the parameters being a dimension in a multi-dimensional coordinate system, determining a coordinate position of at least one additive manufacturing operation within the multi-dimensional coordinate system, and categorizing the operation as free of keyhole porosity flaws (630) when the coordinate position is within the multi-dimensional space (340; 440; 540).