AMiquam develops integrated wireless sensors for additive manufacturing that monitor the quality of layers during the printing process. By detecting material inconsistencies and process deviations in real-time, these sensors enhance part certification and accelerate parameter optimization, addressing a critical bottleneck in metal additive manufacturing.
Funding
$109.6K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Metal additive manufacturing (AM) faces challenges in part certification due to inconsistencies and deviations that occur during the printing process. Detecting these issues in real-time is critical, as the current bottleneck hinders the widespread adoption of metal AM for industrial applications.
Solution
AMiquam develops integrated wireless sensors for real-time monitoring of layer quality during additive manufacturing. These sensors detect material inconsistencies and process deviations as they occur, enabling enhanced part certification and accelerated parameter optimization. By providing early warnings against process deviations and detecting powder inhomogeneities, AMiquam's technology facilitates in-machine metrology and accelerates parameter optimization. The sensors can be integrated into most laser powder bed fusion (LPBF) AM machines, providing users with the ability to visualize quality issues and ensure part integrity.
Target Audience
The primary customers are manufacturers using metal additive manufacturing, particularly those in aerospace, automotive, and medical sectors, who require enhanced part certification and process optimization.
Features
- Wireless sensors fixed to the recoater for process monitoring
- Non-destructive testing (NDT) compliant sensors
- Integration into most LPBF AM machines
- Easy integration in less than 30 minutes
- Acquisition and visualization software for real-time data analysis
- Early warnings against process deviations
- Detection of powder inhomogeneities and particles
- In-machine metrology capabilities