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ISO 14644-1 | FED STD 209E | GMP (non-operational) | Max. particles (0.5 micron) m³ | Max. particles (0.5 micron) f³ | igus products that meet the standard |
---|---|---|---|---|---|
1 | N/A | N/A | Energy chains, cables, corrugated tubes, pneumatic hoses | ||
2 | N/A | N/A | see above | ||
3 | 1 | 35 | see above + linear guide | ||
4 | 10 | 352 | see above | ||
5 | 100 | A & B | 3,520 | 100 | see above |
6 | 1.0000 | 35,200 | 997 | see above | |
7 | 10,000 | C | 352,000 | 9,967 | see above |
8 | 100,000 | D | 3,520,000 | 99,675 | see above |
9 | N/A | 35,200,000 | 996,747 | see above |
energy chains in cleanroom environments must be particularly abrasion-resistant, as airborne particles are generated above narrow limit standards and can contaminate the room.
e-chains for cleanroom applicationspneumatic hose and various cables with IPA ISO class 1 and 2 - also available ready for connection, suitable for Bosch Rexroth, Festo, Parker, Siemens and many other manufacturers.
Flexible cables for cleanroomsIn our dry-running linear guide programme, we offer four models that are certified for use in ISO class 6 to 3 cleanrooms.
drylin for cleanroom applicationsThe sliding elements of the PRT-04-100 made of iglidur® J ensure the lowest particle emissions and thus enable use in cleanroom applications.
More about slewing ring bearing PRT-04As part of the i.Sense condition monitoring system from smart plastic, all data from the i.Sense Wonderbox can also be analysed in the control cabinet module i.Cee. This can then be used to digitally control the entire alarm and escalation management of the system.
The i.Cee module also offers numerous integration options in predictive maintenance concepts. From preventive service management, which schedules regular maintenance depending on usage, to location-independent fault management, which immediately reports any unforeseen changes via various mobile channels. All information is aggregated in a modern dashboard, online or offline in the local network, depending on the customer's requirements.
Differentiates condition monitoring from predictive maintenance
In this free white paper you will learn
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