Additive Manufacturing Parameter Validation for Lack-of-Fusion Control
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Solution Overview
Problem
Additive manufacturing processes require extensive iterative testing to achieve components with acceptable quality, particularly in applications like aircraft components, where months or years may be needed to refine parameters, leading to inefficiencies and high costs.
Innovation Solution
An apparatus and method that utilize a processor to categorize additive manufacturing operations as free of horizontal lack of fusion flaws by defining parameters such as beam power, velocity, local part temperature, and powder bed thickness using mathematical functions, and storing instructions to create a workpiece within predefined multi-dimensional spaces to prevent flaws, allowing for faster design and reduced physical iterations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If iterative testing is performed to achieve acceptable quality in additive manufacturing, then manufacturing precision is improved, but time consumption and cost increase significantly
Solution Approach 1:
The system performs preliminary validation of additive manufacturing operations by defining multi-dimensional spaces with bounds for process parameters before actual manufacturing. This preliminary action identifies operations free of horizontal lack of fusion flaws, eliminating the need for extensive iterative testing and reducing time consumption while maintaining manufacturing precision.
2Reliability
If extensive iterative testing is performed to validate additive manufacturing parameters, then reliability of the component is improved, but productivity decreases
Solution Approach 1:
The system performs preliminary validation of additive manufacturing operations by defining multi-dimensional spaces with bounds for process parameters before actual manufacturing. This preliminary action identifies operations free of horizontal lack of fusion flaws, eliminating the need for extensive iterative testing and reducing time consumption while maintaining manufacturing precision.
3Manufacturing precision
If multiple parameters are adjusted iteratively to achieve acceptable quality, then manufacturing precision is improved, but device complexity increases
Solution Approach 1:
The system creates a virtual model (multi-dimensional space) that represents the complex relationships between process parameters and quality outcomes. This virtual model serves as a simplified copy that can be evaluated computationally, avoiding the need for complex physical iterative testing while maintaining manufacturing precision.
4Reliability
If extensive empirical prototyping is performed to validate operations, then reliability is improved, but loss of substance and cost increase
Solution Approach 1:
The system creates a virtual model (multi-dimensional space) that represents the complex relationships between process parameters and quality outcomes. This virtual model serves as a simplified copy that can be evaluated computationally, avoiding the need for complex physical iterative testing and reducing material consumption.
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...550) being defined on a distinct parameter of an additive manufacturing process and each of the parameters being directly related to the occurrence of a horizontal lack of fusion 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 horizontal lack of fusion flaws (630) when the coordinate position is within the multi-dimensional space (340; 440; 540).