Key Takeaways
1. Researchers at Concordia University developed a new micro-manufacturing method called proximal sound printing (PSP) using focused ultrasound.
2. PSP offers ten times more precision than older acoustic methods for hardening liquid polymers.
3. The technique allows for greater control and smaller feature sizes by positioning the sound source closer to the printing surface.
4. Sound-based printing is particularly effective for soft materials like silicone, which are difficult to print at micro scales using conventional methods.
5. The method has potential applications in speeding up the creation of medical diagnostic devices and soft robotic parts.
Researchers at Concordia University have made a big step forward in micro-manufacturing by creating a new method called proximal sound printing (PSP). This technique, which was shared in the journal Microsystems & Nanoengineering, uses focused ultrasound to harden liquid polymers with ten times more precision than older acoustic methods.
Advancements in Sound Printing
This new approach builds on earlier research involving direct sound printing, which used ultrasound to stimulate sonochemical reactions. Although the initial method showed that sound could cure polymers as needed, it often faced challenges with resolution and consistency. By placing the sound source much closer to the printing surface, the “proximal” technique allows for greater control and smaller feature sizes, all while using much less energy.
Compatibility with Soft Materials
In contrast to conventional 3D printing that depends on heat or light, sound-based printing is especially suited for soft materials like silicone. These materials are crucial for lab-on-a-chip systems and wearable tech, but they are often very hard to print at micro scales.
The study was led by PhD graduate Shervin Forough, along with Professor Muthukumaran Packirisamy and Mohsen Habibi. The Natural Sciences and Engineering Research Council provided support for this work. Looking ahead, the team believes this method will speed up the process of creating medical diagnostic devices and soft robotic parts, presenting a quicker and more flexible option for producing advanced microscale systems.
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