Acoustic 3D printing makes a breakthrough in medicine
Scientists from Concordia University have introduced the PSP acoustic 3D printing technology, which delivers ten times greater precision compared to previous methods. This innovation opens up new possibilities for creating medical sensors and soft robotics.
Ingenium
Researchers at Concordia University have developed a new acoustic 3D printing technology called proximal sound printing (PSP), which offers ten times greater precision compared to previous methods. This innovation has the potential to significantly impact the production of medical sensors and soft robotics.
A Breakthrough in Microfabrication
The research team has made substantial progress in the field of microfabrication by using focused ultrasound to cure liquid polymers with high accuracy. According to a publication in Microsystems & Nanoengineering, the new technique achieves a resolution ten times higher than existing acoustic methods.
Technology Features
The PSP technology builds on earlier research in direct sound printing, where ultrasound triggered sonochemical reactions to cure polymers. However, previous methods faced limitations in resolution and stability. The new approach involves positioning the sound source as close as possible to the printing surface, enabling more precise control, smaller feature sizes, and significantly reduced energy consumption.
Advantages Over Traditional 3D Printing
Unlike traditional 3D printing, which relies on heat or light, acoustic printing is especially effective for working with soft materials such as silicone. These materials are in high demand for lab-on-a-chip systems and wearable devices, but are extremely difficult to print at the microscale using standard technologies.
Application Prospects
The study, supported by the Natural Sciences and Engineering Research Council, opens new possibilities for rapid prototyping of medical diagnostic devices and components for soft robotics. PSP technology offers a faster and more versatile way to create advanced microsystems, which could accelerate the development of innovative solutions in medicine and robotics.
