CONNECTICUT SPRING & STAMPING ADDS CNC SWISS TURNING CAPABILITIES

Now offering complete machining capabilities for complex high tolerance components

Farmington, CT - Connecticut Spring & Stamping (CSS), a manufacturer of precision parts for the medical, aerospace, firearms and defense industries worldwide, announces that it has expanded its machining capabilities to include multi-axis CNC Swiss machining, ideal for medical applications, including minimally invasive surgical instruments, as well as numerous aerospace and firearms applications.


In addition to combining machining disciplines, CSS has also developed a proprietary process that significantly increases processing speed for tubular machined parts.

The new multi-axis Swiss machining capabilities are a natural progression for CSS, which has been machining parts for more than ten years and maintains a staff of expert skilled machinists. The CNC Swiss machine, a bar-fed automatic lathe that uses single point tooling to produce intricate finished parts with virtually no requirements for grinding or other secondary operations, enables the company to process additional parts for customers in its controlled environment, within the same quality culture for which the company is well known.

"CSS now offers customers a complete family of machining capabilities for complex high tolerance components, which results in faster throughput, reduced costs, and higher quality parts," said Steve Dicke, CSS VP of Marketing.

As part of its move towards increasing machining capabilities, CSS has also greatly expanded its component assembly capabilities. With its ability to produce components efficiently and at lower cost, CSS is helping medical device customers increase their business while minimizing capital expenditures and limiting the need for labor force growth.

Featured Product

Boston Dynamics Webinar - Why Humanoids Are the Future of Manufacturing

Boston Dynamics Webinar - Why Humanoids Are the Future of Manufacturing

Join us November 18th for this Webinar as we reflect on what we've learned by observing factory floors, and why we've grown convinced that chasing generalization in manipulation—both in hardware and behavior—isn't just interesting, but necessary. We'll discuss AI research threads we're exploring at Boston Dynamics to push this mission forward, and highlight opportunities our field should collectively invest more in to turn the humanoid vision, and the reinvention of manufacturing, into a practical, economically viable product.