Femtosecond-laser-textured metal molds are used to cast silicone test surfaces that mimic human skin topography. Features as small as 2 µm replicate grooves, raised areas, pits, and pillars to control fluid spreading, smearing, transfer, and friction. The approach targets skin-like friction coefficients of 0.4–0.6 and supports durability testing through repeated rubbing and washing. Reusable molds enable consistent sample batches for R&D and consumer product testing.
This research program develops durable, skin-like silicone test surfaces for evaluating how fluids spread, smear, transfer, and interact with textured materials. The approach uses femtosecond laser processing to machine metal molds with skin-inspired surface patterns, then casts silicone samples from those molds. Because features can be made as small as 2 µm, the molds can combine larger skin-like grooves and raised areas with finer pits and pillars, enabling systematic study of how texture affects liquid retention, release, wetting, and friction.
The resulting silicone surfaces are intended to reproduce key surface behaviors of human skin without relying on coatings or surface treatments whose wetting effects may fade over time. Target applications include consumer product testing, skin-contact materials, cosmetics, and healthcare products where realistic skin analogs are needed for evaluating fluid handling, smearing, and feel.
Key technical elements:
Molds are reusable, allowing consistent production of multiple sample batches for wear, cleaning, and comparative studies.
This is an early-stage research effort. The femtosecond laser processing capability and related characterization tools are available, but the specific mold designs and silicone surface samples described here have not yet been produced or validated. A nine-month validation plan is proposed to design, fabricate, and test the surfaces, select the best-performing patterns, and produce sample sets with associated characterization data. After successful validation, the reusable molds and sample sets would be ready for broader evaluation and adoption in product development.
Princeton University is a private, research-intensive university in Princeton, New Jersey, known for a tightly integrated campus and a globally connected research enterprise. Industry partners engage through a dedicated corporate relations team that brokers sponsored research, consortia, and talent pipelines. Co-located assets include shared user facilities for advanced imaging and nanofabrication, a university-managed U.S. Department of Energy national lab, and a research park that hosts corporate collaborators. Research is supported by competitive federal funding from agencies such as NSF, NIH, DOE, DoD, and NASA. A technology transfer office provides IP strategy, licensing, and startup support, complemented by an affiliated incubator and mentor network.