LONGFLEX® CHAIN 421 CY Power cable
2Pages

{{requestButtons}}

Catalog excerpts

LONGFLEX® CHAIN 421 CY Power cable - 1

LONGTRONIC™ Ethernet Cables LONGFLEX™ CHAIN 421 CY Low-Frequency Data Cables ZHAOLONG LONGFLEX™ CHAIN 421 CY 2X0.25mm2 E324007 Sensor Cables Application Can be used as signal control cables in CNC machine tools,engraving machines,woodworking machinery and other automation equipments production lines in all kinds of machines. Very suitable for drag chain or frequent movement. LONGFLEX™ Motion Control Cables Towline Cables Servo Cables Technical Data —Temperature Range Fixed Application : -40℃ ~80℃ Moved Application : -5℃ ~70℃ —Test Voltage (AC) 2000V/min (20℃) —Insulation Resistance ≥10MΩ.km —Rated voltage 300V —Minimum Bending Radius Fixed Application : 4D (D=cable diameter) Moved Application : 10D (D=cable diameter) —Technical Certification UL 2464 —Application of drag chain 1 ~ 3 million times Robot Cables High-Temperature Electrical Cables Installation Cables Medical Cables Connection Technology Cable Construction Conductor : Fine stranded bare copper, according to IEC 60228/ VDE 0295 class 5 Insulation : PVC Insulation Color : According to DIN 47100 Shielded : Tinned copper braiding Jacket : PVC Color : Grey (similar to RAL 7001) Properties Flame resistance according to IEC60332-1 Good property of flexibility Small bending radius Good oil resistance Good performance of resistant to external EMI Nominal O.D. ( mm) 4.7 4.9 5.2 6.0 6.7 7.2 7.4 7.7 8.5 8.9 10.0 10.7 11.8 4.9 5.1 5.5 6.3 7.1 7.6 7.8 Technical Data

Open the catalog to page 1
LONGFLEX® CHAIN 421 CY Power cable - 2

LONGTRONIC™ Servo Cables Robot Cables High-Temperature Electrical Cables Installation Cables Medical Cables Towline Cables Motion Control Cables Weight approx. ( kg/km) Cop.weight approx. ( kg/km) Sensor Cables Low-Frequency Data Cables Ethernet Cables Drag Chain Cables Connection Technology Technical Data

Open the catalog to page 2

All Zhaolong Interconnect catalogs and technical brochures

  1. Rail

    7 Pages

  2. Machine vision

    15 Pages