Extending the Stratasys production-grade FDM portfolio, the F870 combines unrivaled large-format capabilities in a heated chamber backed by a suite of the strongest, most durable materials, all with a lower total cost of ownership so manufacturers can expand additive across manufacturing applications. Manufacturers increasingly demand larger, production-ready systems capable of producing tooling, fixtures, manufacturing aids and end-use parts at the size, throughput, and reliability needed for factory-floor deployment. The F870™ FDM® machine addresses this need.

Systems are currently being adopted by leading manufacturers, including Toyota Production Engineering in Georgetown, Kentucky, and Rivian Automotive in Plymouth, Michigan. These organizations are assessing the platform across a range of applications, from factory-floor tooling and manufacturing aids to advanced prototyping workflows, ahead of commercial availability.

Early deployments address customer needs for automotive tooling, manufacturing aids, and other production-support applications, including large fixtures, assembly tools, and inspection gauges that traditionally require lengthy machining lead times.

Designed for production-support applications, the F870 features a build volume of 1000 x 610 x 610 mm (39.4 x 24 x 24 in.) and combines the market's longest build capacity in a fully heated chamber with a portfolio of industrial-grade materials, including Nylon 12CF™, ASA, ABS and the new FDM® ABS Draft (Gray). In particular, Nylon 12CF Carbon Fiber provides the strength, stiffness and durability required for demanding manufacturing-floor tooling and fixture applications. The platform enables manufacturers to produce larger tooling, fixtures, manufacturing aids and end-use parts with the repeatability, durability and throughput required for factory-floor deployment.

Built on Stratasys' industrial FDM® foundation, the F870 expands Stratasys's portfolio of production-focused additive manufacturing solutions, helping manufacturers reduce production costs, improve responsiveness and scale additive manufacturing across manufacturing operations.