LONGFLEX® SERVO FD 330 CP Power cable


Catalog excerpts

LONGFLEX® SERVO FD 330 CP Power cable - 1

LONGTRONIC™ Ethernet Cables LONGFLEX™ SERVO FD 330 CP Low-Frequency Data Cables ZHAOLONG LONGFLEX™ SERVO FD 330 CP 4G1.5mm² E324007 Sensor Cables LONGFLEX™ Application Can be used as connecting cables between motor and converter ,or controller and motor of CNC machine tools, robots and other automation equipments. Intended for the place of high electrical interference.Very suitable for drag chain or frequent movement in oil and wet environment. Motion Control Cables Towline Cables Servo Cables Robot Cables Technical Data —Temperature Range Fixed Application : -40℃ ~80℃ Occasional Movement : -40℃ ~80℃ —Test Voltage (AC) core/core : 4000V/min (AC) core/shield : 4000V/min (20℃) —Insulation Resistance ≥1000MΩ.km —Rated voltage UL/CSA 600V IEC/VDE ≤0.5mm²: 300/500V > 0.5mm²: 450/750V —Minimum Bending Radius Fixed Application : 4D(D=cable diameter) Mobile Application : 7.5D(D=cable diameter) —Technical Certification : 20939 UL —Application of drag chain : million times ≥10 Item NO. High-Temperature Electrical Cables Installation Cables Medical Cables Connection Technology Cable Construction Conductor : Ultra-fine stranded bare copper, according to IEC 60228/VDE 0295 class 6 Insulation : TPE Insulation Color : According to DIN VDE 0293; black cores with white numberals ; with Green/yellow Shielded : Control pair tinned copper braiding, tinned copper overall braiding Jacket : PUR Color : Orange (similar to RAL 2003) Properties Halogen free,flame resistance according to IEC60332-1 Good property of flexibility, small bending radius Good performance of resistant to external EMI Extremely oil resistance Abrasion resistance and anti-hydrolysis High mechanical strength and extremely bending resistance Nominal O.D. ( mm) 9.0 10.1 13.4 15.0 19.4 22.3 28.6 31.8 9.4 11.1 12.5 15.4 16.9 20.8 23.6 27.7 32.0 Technical Data Weight approx. ( kg/km) 120

Open the catalog to page 1

All Zhaolong Interconnect catalogs and technical brochures

  1. Rail

    7 Pages

  2. Machine vision

    15 Pages