AM Distortion Compensation Using Physics-Based Shrinkage Modeling
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Solution Overview
Problem
Current additive manufacturing processes face significant distortion and residual stress issues, requiring expensive iterative methods that only compensate for spatial layout gaps, ignoring material shrinkage during the cooling phase, which affects shape accuracy.
Innovation Solution
A physics-based model is developed to compensate for material shrinkage by understanding the physical process of distortion, using non-uniform rational B-splines (NURBS) to generate a distortion compensated geometry, and iteratively adjusting process parameters to account for volume and shape changes during the cooling phase.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional iterative distortion compensation methods are used, then shape accuracy is improved, but manufacturing cost and time increase significantly
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing distortion compensation data in a lookup table before actual manufacturing. The system pre-processes distortion predictions for various geometric configurations and process parameters, so that during production, compensation can be applied directly without iterative calculations, significantly reducing manufacturing time while maintaining shape accuracy
Solution Approach 2:
The patent uses copying by creating a digital twin or virtual model of the manufacturing process that predicts distortion. This virtual model is used to generate compensation data that is then applied to the actual physical manufacturing process, avoiding the need for physical trial-and-error iterations and reducing both time and material waste
2Manufacturing precision
If spatial layout gap compensation is applied, then dimensional accuracy is improved, but material shrinkage during cooling is ignored leading to residual distortion
Solution Approach 1:
The patent applies parameter changes by incorporating multiple physical parameters into the distortion prediction model, including material shrinkage rates, cooling rates, thermal conductivity, and phase transformation temperatures. The system dynamically adjusts compensation parameters based on these physical characteristics, moving beyond simple spatial layout compensation to a comprehensive physics-based approach that accounts for material behavior during cooling
Solution Approach 2:
The patent introduces an intermediary physics-based distortion prediction model that bridges the gap between geometric design and actual manufacturing outcomes. This intermediary model simulates the thermal and mechanical fields during manufacturing, translating process parameters into predicted distortion patterns that can be compensated in advance
3Manufacturing precision
If expensive iterative experiments are conducted to achieve distortion compensation, then shape accuracy is improved, but loss of time and resources increases
Solution Approach 1:
The patent replaces mechanical trial-and-error experimentation with a computational simulation system. Instead of physically manufacturing test parts to measure and analyze distortion, the system uses finite element analysis and thermal-mechanical modeling to predict distortion patterns virtually, eliminating the need for repeated physical experiments and significantly reducing time and material consumption
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 rapid and efficient distortion compensation, eliminating the need for costly experiments and ensuring high-quality additive parts are produced within targeted geometrical and shape tolerances.
Implementation Method 1
determine a digital distortion model representing the physical target object including at least one distortion resulting from a manufacturing process of an AM fabricated product. The distortion may result from a manufacturing process of an AM fabricated product
Implementation Method 2
The distortion may result from a manufacturing process of an AM fabricated product, for example, due to a phase transformation, plastic deformation, or residual stress
Implementation Method 3
For laser powder bed diffusion and laser directed energy deposition processes
Implementation Method 4
additive manufacturing processes progressively add material to form a net shape or near net shape final component
Data Source
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AI summary
An additive manufacturing (AM) system (100) comprising a process distortion compensation computing system (120) configured to determine a digital nominal model (170) that represents a physical target object excluding a distortion, and a digital distortion model (175) that represents the physical target object including at least one distortion. The AM system further comprises an AM peripheral device (150) configured to form a three-dimensional physical object based on a digital compensation model (190). The process distortion compensation computing system (170) determines a material volume difference between the digital nominal model (170) and the digital distortion model (175), and generates the digital compensation model (190) that compensates for the material volume difference.