Manufacturer Part Number
1210L350SLWR
Manufacturer
littelfuse
Introduction
The 1210L350SLWR is a surface mount, resettable polymeric positive temperature coefficient (PPTC) fuse from the POLY-FUSE® LoRho series. This device provides overcurrent and overtemperature protection for a wide range of electronic applications, ensuring the safety and reliability of the protected circuit.
Product Features and Performance
Polymeric design for reliable overcurrent and overtemperature protection
6V maximum voltage rating
5A hold current, 7A trip current, and 50A maximum current
2 seconds time-to-trip
3mΩ minimum initial resistance, 18mΩ maximum post-trip resistance
Operating temperature range of -40°C to 85°C
Product Advantages
Resettable protection, eliminating the need for manual replacement
Low resistance for minimal power consumption and heat generation
Compact 1210 (3225 Metric) surface mount package
Tape and reel packaging for automated assembly
Key Reasons to Choose This Product
Reliable circuit protection to ensure the safety and performance of your electronic devices
Compact size and surface mount design for efficient space utilization
Resettable operation for convenience and reduced maintenance costs
Compliance with cURus and TUV safety standards
Quality and Safety Features
Compliant with cURus and TUV safety standards
Robust and reliable design for long-term performance
Compatibility
This PPTC fuse is suitable for a wide range of electronic applications, including:
Consumer electronics
Industrial equipment
Telecommunications systems
Automotive electronics
Application Areas
Overcurrent and overtemperature protection for sensitive electronic circuits
Safeguarding against short circuits and overloads
Ensuring the safety and reliability of electronic devices
Product Lifecycle
The 1210L350SLWR is an active product in the littelfuse portfolio. There are no plans for discontinuation at this time. Customers are advised to check with our website's sales team for the latest information on availability and any potential alternative models.