Substrate Temperature Modeling Across Laser Ablation and Heat Transfer
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Solution Overview
Problem
Laser ablation processes in regulated industries require significant investment and time for qualification due to changes in laser technology, materials, or operation settings, necessitating extensive testing to meet regulatory standards.
Innovation Solution
A computing system and method for predicting substrate temperatures during simulated laser operation using a model-based approach that iteratively switches between ablation and thermodynamic stages to calculate temperature changes and material removal, allowing for accurate prediction of substrate behavior and potential damage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional extensive testing is conducted to qualify laser processes for regulated industries, then regulatory approval and reliability are improved, but time consumption and cost increase significantly
Solution Approach 1:
The patent performs preliminary computational simulations of laser ablation processes before actual physical testing. By using physics-based models to predict substrate temperature, ablation depth, and material removal rates under various laser parameters, the system pre-evaluates process outcomes for hundreds of virtual test cases, reducing the need for extensive physical qualification testing in regulated industries
Solution Approach 2:
The patent creates virtual copies of the laser ablation process through computational modeling. Instead of physically testing hundreds of substrate coupons, the system simulates the laser-substrate interaction using mathematical models that replicate thermal conduction, ablation dynamics, and material response, providing a digital twin approach to process qualification
2Reliability
If traditional extensive testing is conducted to qualify laser processes for regulated industries, then regulatory approval is improved, but cost increases significantly
Solution Approach 1:
The patent performs preliminary computational simulations of laser ablation processes before actual physical testing. By using physics-based models to predict substrate temperature, ablation depth, and material removal rates under various laser parameters, the system pre-evaluates process outcomes for hundreds of virtual test cases, reducing the need for extensive physical qualification testing in regulated industries
Solution Approach 2:
The patent creates virtual copies of the laser ablation process through computational modeling. Instead of physically testing hundreds of substrate coupons, the system simulates the laser-substrate interaction using mathematical models that replicate thermal conduction, ablation dynamics, and material response, providing a digital twin approach to process qualification
3Measurement precision
If iterative switching between ablation and thermodynamic stages is performed, then temperature prediction accuracy is improved, but computational complexity increases
Solution Approach 1:
The patent divides the laser ablation process into distinct computational stages: an ablation stage that models material removal and a thermodynamic stage that models heat conduction and temperature distribution. The system iteratively switches between these segmented stages, updating geometry and temperature fields in each cycle, which improves prediction accuracy while keeping each individual stage computationally manageable
Solution Approach 2:
The patent implements a dynamic computational model that adapts between different physical regimes. The iterative switching between ablation and thermodynamic stages allows the system to dynamically adjust which physical processes are active at each step, improving accuracy for complex transient thermal processes while maintaining computational efficiency through conditional modeling
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
Reduces the need for extensive testing by simulating laser operations on multiple substrates, enabling informed decision-making and potentially reducing qualification testing from hundreds to tens of coupons, thereby saving time, cost, and resource utilization.
Implementation Method 1
an ablation stage portion of a model to calculate a first segment of laser operation... outputs an updated geometry of the substrate after a predicted ablation of material from the substrate via at least one laser pulse
Implementation Method 2
a thermodynamic stage portion of the model to calculate a second segment of laser operation which outputs an updated temperature value of the substrate after heat transfer through the substrate and from the substrate to ambient air
Data Source
AI summary
A computing system inputs parameters of a laser and a substrate to be subjected to operation of the laser to an ablation stage portion of a model to calculate a first segment of laser operation. The calculation outputs an updated geometry of the substrate after a predicted ablation of material from the substrate via at least one laser pulse, and an updated temperature value of the substrate after being subjected to the at least one laser pulse. The system inputs the updated values to a thermodynamic stage portion of the model to calculate a second segment of laser operation which outputs an updated temperature value of the substrate after heat transfer through the substrate and from the substrate to ambient air, and iteratively switches between the ablation and thermodynamic stage portions through a final segment of laser operation to output a final predicted temperature value of the substrate.