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D-AM2001 Reliable and precise: component assembly of battery modules
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Application descriptionFile and language versions
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D-AM2004 Energy-autonomous transport trolley for battery module pack handling
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Application descriptionFile and language versions
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D-CT1902 produce more efficiently with Festo AX
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Application descriptionFile and language versions
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D-CT1902 produce more efficiently with Festo AX
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Application descriptionFile and language versions
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D-CT1902 produce more efficiently with Festo AX
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Application descriptionFile and language versions
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D-EE2201 Consumption cut in half: energy-saving systems with Controlled Pneumatics
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Application descriptionFile and language versions
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D-EE2202_EN.pdf
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Application descriptionFile and language versions
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D-EE2203 Pneumatics: highly energy-efficient operation for the first time exactly as required
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Application descriptionFile and language versions
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D-EL2103 "Fast and reliable battery cell production – degassing and sealing"
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Application descriptionFile and language versions
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D-GR2302_DE_EN_V1.pdf
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Application descriptionFile and language versions
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D-VA2301_EN.pdf
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Application descriptionFile and language versions
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Success Story "Water's long journey"
Automation in one of the most modern water treatment plants in Europe
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Application descriptionFile and language versions
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Code of Conduct Business Partners_EN_2024.pdf
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Special publicationFile and language versions
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Quick order sheet Guided drive DFM
Guided drive DFM – Selected products
basic design – Ordering data
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Special publicationFile and language versions
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Spare parts catalogue
Spare parts finder for configured products like valve terminals and service units
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Special publicationFile and language versions
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VDMA article: Added value by software
Facts for making good decisions – AI services for improved quality, greater flexibility and reduced costs
Artificial intelligence such as the Festo Automation Experience AX (Festo AX) brings preventive quality assurance, preventative energy management and preventive maintenance within reach in four steps.
Festo AX delivers the modules needed to collect data from systems and machines. Using machine learning, models are trained to detect anomalies, predict errors or downtimes and correct the energy demand.
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Special publicationFile and language versions
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White paper: Reduce energy costs in compressed air systems by up to 60%
In order to survive in a tough competitive environment, many companies are searching for ways to make savings in their production. Such savings can often be found in their existing compressed air systems, which have generally been in place for years. Up to 60% of energy costs can be saved through optimisation at both the production facility and system level.
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Special publicationFile and language versions
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Multi-Carrier-System MCS® | Brochure
Brochure
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External linkFile and language versions
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Festo Energy Saving Services
Reduce compressed air consumption and CO2 emissions
Energy efficiency experts from Festo analyse your entire compressed air system from compressed air generation to pneumatic applications. This holistic approach gives you a comprehensive overview of all energy-saving potentials. The service offering consists of 6 modules which are certified by TÜV Süd in accordance with ISO 11011.
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VideoFile and language versions
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Industry 4.0 - Digitalisation in Production
Industry 4.0 - What does Digitalisation mean in Production from a supplier point of view?
Industry 4.0 - Big picture of Digitalisation from a supplier point of view covering the topics of Digital Twin, IoT, Cloud connectivity, Services and Artificial Intelligence Solutions. The poster is split into two parts: Smart Engineering incl. Commissioning and Smart Operation incl. Maintenance. Also showing the approach of Predictive quality, Predictive energy and Predictive maintenance
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PostersFile and language versions
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