Formula1Mechnano announces its breakthrough technology that utilizes the power of Carbon Nanotubes (CNTs) in additive manufacturing. Mechnano’s first product, Formula1, is an additive manufacturing resin that delivers isotropic electrostatic dissipative (ESD) and conductive properties to 3D printed parts, without compromising mechanical performance and with zero concern for z-axis breakdown.

“Our discovery unleashes CNT potential in AM materials to achieve extraordinary performance,” says Steven Lowder, Mechnano’s founder and CEO. “It expands, improves, and adds materials properties for an unlimited number of applications.”

Formula1 allows fabrication of ESD parts using existing laser-based SLA, DLP, LCD and other resin-based additive manufacturing processes—all without compromising mechanical performance. Formula1-enhanced items have significant improvements, including:

  • Isotropic ESD performance
  • No carbon trails
  • Alterable mechanical properties
  • No need for continuous resin mixing

Mechnano’s CNT-based Formula1 brings enormous potential to additive manufacturing and is already sparking conversations. It will bring dramatic changes to industries including  communications and electronics manufacturing systems, as they turn to additive manufacturing to optimize R&D, operations, and production.

“Additive manufacturing processes and materials continue to mature so we are excited to offer a technology that is compatible and expansive,” Lowder continues. “We started with electrical conductivity, making Formula1 for ESD to provide a valuable AM solution to highly technical industries. Stay tuned for more. Conductivity, shielding and rad-hard resins are coming soon.”

About Mechnano
Founded by Scott Gillette and Steven Lowder, Mechnano is a US company based in Arizona that has patented a new way to use carbon nanotubes (CNTs) in additive manufacturing materials. The company has developed a proprietary technology that allows for exponential improvements of AM materials with properties that were previously thought impossible. You can learn more at