Acoustic Inline Quality Assurance for Laser Ablation

AblationGuard – Hear the quality

Laser ablation generates characteristic acoustic signals that provide insights into the machining status of the products following AI-based analysis. This means that quality-relevant information is available during the process itself, eliminating the need for later stage determination and evaluation. Consequently, material transitions, residual coatings and incipient over-removal can be detected early on, enabling transparent assessment of product quality and avoiding scrap.

Laserabtrag auf einer Elektronikplatine mit akustischer Inline-Qualitätssicherung: Ein Messmikrofon erfasst die beim Materialabtrag entstehenden Prozessgeräusche zur Echtzeitbewertung der Produktqualität.
© ai-generated/copilot
Laser ablation generates acoustic signatures containing information about material transitions, residual layers and the onset of excessive removal. By analyzing these signals, product quality can be evaluated in real time, even during machining.

Laser-based ablation processes are becoming increasingly important in the manufacture of electronics, the recycling of materials, and the remanufacturing of high-quality components. These processes enable the precise and gentle removal of coatings, paints, potting compounds and functional layers. This makes them a key technology for sustainable recycling and the remanufacturing of electronic assemblies, as well as for modern manufacturing processes. However, despite their high process stability and reproducibility, the quality of components remains unknown during the ablation process and until the end-of-line inspection downstream. The reason for this is often not the ablation process itself, but the product. Variations in layer thickness, material tolerances, component geometries or local material properties can cause individual areas to react differently to what is expected. The result: The product does not meet the desired machining specifications, even though the process was carried out exactly as intended. This is precisely where inline acoustic quality assurance comes into play.

Infographic illustrating the benefits of acoustic monitoring during laser ablation. The graphic shows how process deviations such as incomplete ablation, remaining material layers, and material damage can lead to rework, scrap, and increased costs. A microphone-based acoustic monitoring system enables real-time inline quality assurance, providing greater process transparency and reducing unexpected quality issues.
© ai-generated/copilot
Less scrap, less rework and greater process reliability. Errors such as over-removal, residual layers or material damage can be detected early during laser ablation. Acoustic monitoring therefore enables transparent and cost-effective process control.

Know what’s happening as it happens thanks to acoustic analysis

Acoustic signatures are generated during laser ablation. These sounds contain valuable information about the current state of the product and the interaction between the laser beam and the material.

The AblationGuard technology captures these signals without contact and evaluates them in real time using modern signal processing and AI. This enables the machining status to be assessed immediately during the process. Since quality assurance is based on acoustic signals, optical access to the surface is not required. This means that even in contaminated process environments where dust, particles or process residues would otherwise impair or completely block a camera’s view, acoustic monitoring can still provide reliable information about the machining status.

Based on the sound, the system can detect the following, for example:

  • a change in material between the coating and the substrate
  • remaining residual layers
  • the onset of over-removal
  • process deviations affecting quality

This makes quality visible – or audible – for the first time during processing.

Monitoring processes, ensuring product quality

While many solutions monitor process parameters, the new acoustic inline monitoring system focuses on product quality.

AblationGuard provides quality managers and production supervisors with answers to critical questions like:

  • Has enough material been removed?
  • Has too much material been removed?
  • Is the substrate already exposed?
  • Is rework necessary?

Rather than checking quality after the process, quality can be verified and documented directly during processing.

Infographic showing an AI-driven acoustic analysis workflow. A raw signal, spectrogram, and frequency spectrum are processed to classify material type, process condition, material transitions, and process disturbances. The system predicts product quality as “Quality OK” with 98% confidence.
© ai-generated/copilot
AI analyzes the characteristic features of the recorded signals and identifies the material, process state, material transitions, and potential faults.

From information to action

If critical quality conditions are detected, warning messages can be generated, or automatic responses can be triggered depending on the degree of integration. This paves the way for a new generation of intelligent laser processes that can perform machining and evaluate and regulate their own success.

The economic benefit lies in quality assurance. While end-of-line inspection is often performed randomly today, with defects frequently only being detected after processing is complete, acoustic inline monitoring makes quality-relevant information available during the process. Material transitions, residual layers or incipient over-removal, which cannot be clearly detected visually or using conventional process parameters, can be identified at an early stage. This reduces scrap and rework, ensures product quality and at the same time creates technologically competitive advantages.

Looking for R&D partners

Past projects have demonstrated the great potential of acoustic inline quality assurance for laser ablation processes.
Fraunhofer IDMT in Ilmenau is therefore seeking development partners from the fields of mechanical and plant engineering, laser technology, automation and system integration. We are also looking for users from the manufacturing and recycling industries to help us further develop the technology and transfer it to industrial applications. We are looking for partners to help with pilot applications, integration into existing laser systems, and the development of future solutions for automated inline quality assurance and process control.

Find out more about this topic

Research topic

Industrial Sound Analysis

Hearing errors in manufacturing - acoustic AI for smart production.

Further use case

Hearing errors in welding

Further use case

Acoustic monitoring during milling to optimize tool life