Setting up a press for tool manufacturing has long been a challenge: time-consuming trial runs, material waste, and inconsistent quality. Together with Dorst Technologies, Bruker Alicona has developed an innovative solution that uses optical 3D measurement to fully automate press setup. The result: shorter setup times, less scrap, and consistently sharp cutting edges.


Dorst Technologies is a global leader in powder pressing and forming systems, headquartered in Kochel am See, Germany. The company has decades of expertise in delivering innovative, high-precision machinery for ceramics, metal powders, and tool production. With a strong focus on automation, quality, and sustainability, Dorst provides manufacturers worldwide with advanced solutions that ensure repeatable, efficient, and economically viable processes.
➡ Want to learn more about the automated press setup? ⬅
To tackle one of the most critical challenges in tool manufacturing—efficient press setup—Dorst Technologies partnered with Bruker Alicona, a pioneer in optical 3D metrology. The joint project combines Dorst’s advanced pressing systems with Alicona’s high-resolution measurement technology, resulting in a unique solution: automated press setup for cutting edge optimization.
Traditionally, press setup relied on manual adjustments and visual checks. Operators had to assess burrs, tool wear, and dimensional accuracy through repeated trial runs—a process that consumed time, material, and expertise. With the new solution, optical 3D measurement is integrated directly into the press setup routine. Each part is automatically measured, compared against the ideal geometry, and deviations are corrected in real time.
This automation delivers multiple benefits:
For tool manufacturers, the combination of Dorst’s pressing technology and Bruker Alicona’s optical 3D metrology means more than just smoother production. It is a decisive competitive advantage: higher productivity, lower costs, and greater process reliability. Cutting Edge Optimization turns setup into a repeatable, data-driven process—unlocking efficiency and quality at scale.
