A melt electrowriting with viscous thread printing (MEW-VTP) platform that converts a 3D property map into a microfiber nonwoven with controlled porosity gradients. Autonomous fabrication, micro-CT imaging, and Gaussian-process active learning enable inverse design of graded porous structures for rapid prototyping and testing.
This solution offers a digital-to-physical manufacturing approach that translates a target 3D property map into a microfiber nonwoven network with engineered porosity and stiffness gradients. By combining melt electrowriting (MEW) with viscous thread printing (VTP), the platform produces continuous 3D porosity gradients in textile and foam-like structures at the microscale. An autonomous data-collection and modeling workflow, driven by Gaussian-process active learning, replaces manual trial-and-error prototyping with a reproducible route from digital specification to physical coupon. The result is a faster, more predictable way to prototype and test graded nonwoven structures for applications requiring spatially tuned mechanical response and pore architecture.
Key features:
The platform builds on demonstrated Gaussian-process prediction of layer height, modulus, and full stress-strain response, along with prior spatial control of stiffness and porosity in VTP structures. Preliminary MEW-VTP behavior has been observed in prior Army-supported work. The current program focuses on commissioning the MEW-VTP platform, establishing stable TPU processing windows, and validating micro-CT segmentation and compression testing. An autonomous campaign of roughly 300 specimens will populate the process-property model, followed by inverse design and fabrication of a 15 x 15 x 5 mm graded specimen. Final validation will demonstrate pore-volume-distribution agreement within 5%, document mechanical performance, and define a tiled scale-up route. The technology is currently at an early-to-mid development stage, transitioning from laboratory demonstration toward reproducible prototyping.
Northeastern University is a private, comprehensive R1 research university based in Boston with a global campus network. Its century-old cooperative education model integrates full-time, paid placements with academic study, enabling companies to access vetted talent and long-term pipelines worldwide. Industry collaboration is supported by a suburban innovation campus offering test beds, secure labs, and fee-for-use core facilities, alongside co-located partner spaces. The university attracts competitive federal research funding from agencies such as the NSF and NIH. A dedicated technology transfer office streamlines IP, licensing, and startup formation for corporate partnerships.