3D Pulsed Laser Paint Removal Simulation for Ablation Contour Prediction
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Solution Overview
Problem
Current numerical simulations of laser ablation primarily focus on the effects of single-pulsed lasers on temperature fields, failing to account for interactions between multiple pulses and unable to visualize the morphology after laser cleaning on non-planar surfaces, thus limiting the precision and efficiency of laser paint removal processes.
Innovation Solution
A numerical simulation method using a two-layer three-dimensional solid model with ANSYS temperature field analysis, simulating the pulsed laser paint removal process by loading heat flux onto a surface, calculating energy distribution, and performing iterative solutions based on heat conservation laws to predict the contour and morphology of the ablated paint layer, allowing for process parameter optimization and trajectory planning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional numerical simulation methods focusing on single-pulsed laser temperature fields are used, then the simulation model is simple, but the simulation accuracy and ability to predict multi-pulse interactions are insufficient
Solution Approach 1:
The patent divides the laser paint removal process into discrete time steps, with each step representing a single laser pulse. The simulation model segments the multi-pulse process into individual pulse events that can be sequentially processed, allowing accurate tracking of temperature evolution and material removal at each stage while maintaining computational efficiency.
Solution Approach 2:
The patent pre-establishes the spatial distribution of laser energy (Gaussian profile) and material properties before the simulation begins. The initial temperature field and material parameter distributions are prepared in advance, enabling the model to efficiently process multi-pulse interactions without recalculating fundamental parameters during the simulation.
2Loss of information
If existing numerical simulation methods are used, then the calculation process is fast, but the ability to visualize surface morphology after laser cleaning is lost
Solution Approach 1:
The patent creates a digital copy of the surface morphology by tracking the position and state of each computational element throughout the simulation. Instead of performing complex 3D reconstruction, the model maintains an element-based representation of the surface that can be directly visualized, preserving morphological information in a computationally efficient manner.
Solution Approach 2:
The patent transitions from traditional continuous field simulation to a discrete element-based representation. By treating the surface as a collection of discrete elements that can be individually tracked, removed, or modified, the model gains the ability to represent complex 3D morphology changes while maintaining computational efficiency through simplified element-state tracking.
3Manufacturing precision
If trial-and-error experiments are used to optimize laser parameters, then the process can be optimized, but the time consumption and cost increase significantly
Solution Approach 1:
The patent implements a feedback mechanism where the simulation results (temperature distribution, material removal depth, surface morphology) from each virtual experiment are automatically analyzed to guide the next set of parameter tests. This allows systematic optimization of laser parameters by learning from previous simulation results, dramatically reducing the number of trials needed compared to random or manual optimization approaches.
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 method enables accurate prediction of the pulsed laser ablated paint layer contour, optimizing process parameters and processing trajectories, effectively overcoming the limitations of existing simulations by visualizing the surface morphology after laser cleaning and reducing trial-and-error methods in industrial applications.
Implementation Method 1
laser paint removal mainly uses high-energy laser beams to irradiate the paint layer of the material surface to make it instantaneously heated and vaporized
Implementation Method 2
the absorption of laser energy by the paint layer and the substrate material
Implementation Method 3
it is hard to accurately describe the micro-scale transient effect of the pulsed laser
Data Source
AI summary
The present disclosure provides a numerical simulation method of pulsed laser paint removal and a use thereof. This method establishes a three-dimensional (3D) temperature field model by ANSYS software to perform a numerical simulation of nanosecond pulsed laser paint removal. A high-speed moving pulsed laser is loaded on a surface of the model in a form of heat flux, and a coordinate system is moved to realize loading on different paths. A special surface mesh screening method is used to realize loading on any surface, and it ensures that laser energy distribution on a material surface is in line with reality. In addition, an element birth/death technology is combined to remove an element that exceeds a threshold, so as to intuitively present the surface morphology after laser paint removal. The present disclosure can realize the prediction of the contour of a paint layer ablated by a pulsed laser.