135-ohm 1W metal film resistors
Manufacturer: vishay
The CMF60135R00 Series is a distinguished line of precision resistors designed for high-performance applications in demanding electronic environments. Known for their exceptional stability and accuracy, these resistors utilize advanced manufacturing techniques and high-quality materials to ensure reliable performance across a wide range of temperatures and operating conditions. With a resistance value of 135 ohms, the CMF60135R00 Series is optimized for applications where precise resistance measurements are critical.
One of the key features of the CMF60135R00 Series is its low temperature coefficient, which minimizes drift and ensures that the resistance remains stable even as ambient temperatures fluctuate. This characteristic is vital for applications such as instrumentation and precision measurement, where accuracy can significantly impact overall system performance. Additionally, the resistors in this series exhibit excellent power handling capabilities, allowing them to be utilized in circuits with varying load conditions without compromising reliability.
The design of the CMF60135R00 Series emphasizes robustness and versatility. With a compact footprint, these resistors are suitable for surface-mount technology (SMT) applications, making them an excellent choice for space-constrained designs in modern electronics. Their construction is optimized for high-frequency performance, making them ideal for use in RF and microwave applications, where maintaining signal integrity is paramount.
Typical applications for the CMF60135R00 Series include precision analog circuits, sensor interfaces, and feedback systems in both industrial and consumer electronics. They are widely deployed in automotive electronics, medical devices, and telecommunications equipment, where high reliability and stringent performance standards are essential. By incorporating the CMF60135R00 Series into electronic designs, engineers can enhance the accuracy and stability of their systems, ensuring optimal performance in various operational contexts.
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