Knowledge How is 3D multiphysics simulation software utilized in laser hair removal? Master R&D with Virtual Precision
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Tech Team · Belislaser

Updated 2 days ago

How is 3D multiphysics simulation software utilized in laser hair removal? Master R&D with Virtual Precision


3D multiphysics simulation software serves as a vital virtual laboratory in the research and development of laser hair removal technologies. By creating complex mathematical models of skin and hair follicles, this software simultaneously simulates critical physical interactions—specifically laser photon diffusion and thermal conduction—to predict biological tissue damage without requiring human subjects.

By accurately calculating the thermal damage percentage (q-value) in the follicle bulb and bulge, engineers can scientifically optimize energy, pulse, and cooling parameters to ensure patient safety before clinical trials begin.

Modeling the Biological Environment

To accurately predict how a laser will interact with the body, R&D teams first construct detailed 3D geometries of the treatment area.

Creating the Virtual Tissue

The software builds complex mathematical models representing the layers of human skin and the structure of hair follicles.

Targeting Critical Structures

These models specifically isolate the follicle bulb and bulge areas. These are the biological targets that must be destroyed to permanently inhibit hair growth.

Simulating Physical Interactions

The core power of multiphysics software lies in its ability to run multiple physical simulations simultaneously, rather than in isolation.

Photon Diffusion Analysis

The simulation tracks how laser light enters the skin and scatters. This calculates the distribution of light energy as it diffuses through tissue to reach the hair follicle.

Thermal Conduction Modeling

Once the light energy is absorbed, it converts to heat. The software simulates thermal conduction, mapping how that heat spreads from the hair shaft into the surrounding tissue.

Predicting Tissue Damage

By combining light and heat data, the software predicts biological tissue damage. This is quantified as the thermal damage percentage, often referred to as the q-value.

Optimizing Treatment Protocols

R&D personnel use these simulations to fine-tune device settings for maximum efficacy and safety.

Adjusting Energy and Pulse Widths

Engineers test different energy levels and pulse durations to find the "sweet spot." The goal is to maximize the q-value in the follicle while minimizing it in the surrounding skin.

Evaluating Cooling Efficiencies

Simulations also factor in cooling mechanisms. This allows developers to see how surface cooling protects the epidermis while the laser energy heats the follicle beneath.

Understanding the Trade-offs

While multiphysics simulation is a powerful tool, it acts as a predictor rather than a guarantor of clinical results.

The Model vs. Reality

The accuracy of the q-value prediction is entirely dependent on the precision of the mathematical inputs. If the virtual model does not perfectly mimic the variance in human skin types, the thermal damage predictions may differ from clinical reality.

The Role of Clinical Trials

Simulation does not replace clinical testing; it optimizes the starting point. It is a safety assessment tool used to refine protocols before they are validated in actual clinical trials.

Making the Right Choice for Your R&D Goals

When utilizing multiphysics simulation, your focus should shift based on your specific development phase.

  • If your primary focus is Efficacy: Prioritize simulations that maximize the q-value specifically within the follicle bulb and bulge areas to ensure permanent hair reduction.
  • If your primary focus is Safety: Focus on thermal conduction and cooling efficiency models to ensure heat does not diffuse dangerously into the surrounding epidermis.

By mathematically verifying these interactions first, you significantly reduce the risk and timeline of subsequent physical testing.

Summary Table:

Simulation Component Physical Interaction R&D Objective
Photon Diffusion Laser light scattering Calculate energy distribution in skin layers
Thermal Conduction Heat transfer to follicle Map heat spread from hair shaft to bulb
Damage Prediction Tissue damage (q-value) Quantify destruction of hair follicles
Cooling Evaluation Epidermal protection Optimize surface cooling to prevent burns
Protocol Tuning Energy & pulse width Maximize efficacy while ensuring patient safety

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References

  1. Anuj Pall, Gregorio Viera‐Mármol. Triple Wavelength and 810 nm Diode Lasers for Hair Removal: A Clinical and <i>in Silico</i> Comparative Study on Indian Skin. DOI: 10.4236/jcdsa.2022.124014

This article is also based on technical information from Belislaser Knowledge Base .

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