TRUMPF SE + Co. KG, founded in 1923 and based in Ditzingen, Germany, is a high-tech company offering manufacturing solutions in machine tools, laser technology, electronics, and Industry 4.0. As a market and technology leader, TRUMPF provides innovative products and services that enhance efficiency, precision, and future-proofing in industrial manufacturing. The company's solutions cater to various industries, including automotive, aerospace, and medical technology, supporting clients worldwide with advanced technologies and comprehensive services.
Artificial intelligence in VisionLine Inspect reduces waste and costs in battery production for e-cars and body construction, with no programming skills required.
The two companies are developing AI chips and software to improve welding, cutting and marking processes. The technology is intended for more efficient laser applications to accelerate production.
TRUMPF develops efficient laser processes for recycling electric car batteries. Battery manufacturers can reuse valuable raw materials and comply with the EU recycling quota.
High energy efficiency with TruHeat VCSEL heating modules for battery foil drying. Next generation of innovative VCSEL technology supports lower power densities.
980nm wavelength VCSELs for higher robustness and lifetime, TRUMPF and KDPOF working together to implement new standard in optical data communication within automotive.
The high-tech company TRUMPF has developed a dual optics (Dual PFO) that reduces cycle times in automated welding by up to 30 percent, for example for the hairpins of electric motors.
TRUMPF Photonic Components, is showcasing the latest product developments of its TruHeat VCSEL series and live applications of optical sensing at LASER World of Photonics 2023 in Munich, Germany.
Well suited for applications in e-mobility and hydrogen fuel cells. Reliable processing of copper, aluminum and steel with new beam-shaping technology.
Artificial intelligence (AI) ensures high quality in manufacturing for e-mobility. The AI solution has already proven itself in practice. Instead of programming, the user only needs to train the AI.