RKL0019/008.0 (RLS1101-INK0653-RLS0746)

The Bosch Rexroth Indramat RKL0019/008.0 (RLS1101-INK0653-RLS0746) from the Cables And Accessories series delivers reliable performance for industrial motion systems with a specialized cable type RKL designed explicitly for the demands of automation setups. This robust cable assembly has been engineered to serve as a high-integrity Motor Cable for Bosch Rexroth SERVO Drives, ensuring consistent power delivery and signal fidelity between servo amplifiers and motors. Manufactured to stringent quality standards, the RKL0019/008.0 offers compatibility with a wide range of Bosch Rexroth servo modules and accessories, simplifying inventory management and system integration. With its clear part identification printed along the jacket, technicians can swiftly verify compatibility and part numbers during installation or maintenance.

In operation, the RKL0019/008.0 provides stable voltage and current transmission to critical servo components, minimizing electrical noise and preserving control accuracy under dynamic loading. The uninterrupted conductor design reduces resistance and heat buildup, supporting continuous-duty cycles in high-precision motion applications. Its tailored construction ensures flexibility for cable routing in tight cabinet spaces or moving joints, reducing mechanical strain on terminations. Technicians appreciate the straightforward termination process that aligns with Bosch Rexroth connector formats, streamlining setup and minimizing downtime.

Installation best practices emphasize secure strain relief and proper bend radii to maintain service life, and routine inspections focus on jacket integrity and connector seating to safeguard against signal degradation. When used as part of a coordinated Bosch Rexroth servo solution, the RKL0019/008.0 cable enhances system reliability and contributes to predictable maintenance schedules. This accessory underscores Bosch Rexroth Indramat’s commitment to offering high-quality components that support efficient assembly, diagnosis, and long-term performance of automated machinery.