SMT45A-820

Arrays, Signal Transformers Overview

The SMT45A-820 is a high-efficiency dual-wound toroidal inductor manufactured by Gowanda Electronics. It features an unshielded construction with two coils connected in series, providing a total inductance of 3.28 µH. Alternatively, when the coils are connected in parallel, the inductance is 820 nH. The component weighs approximately 2.1 grams and measures 15.5 mm in length.

Arrays, Signal Transformers Feature Summary

• Dual-wound toroidal core design for high efficiency
• Unshielded magnetic structure
• Flexible connectivity options for series or parallel configurations

Arrays, Signal Transformers Applications

• Demanding electronic circuit applications requiring precise inductance
• Power supply filtering stages
• Signal processing circuits

Arrays, Signal Transformers Procurement Notes

Verify the specific suffix (LF) against your Bill of Materials to ensure compliance with lead-free requirements. Confirm that the series-connected 3.28 µH specification aligns with your circuit design needs rather than the parallel configuration. Check package compatibility for surface-mount assembly processes.

Arrays, Signal Transformers Selection Notes

Select this component when a dual-wound toroidal inductor is required for high-efficiency performance. Ensure the unshielded nature does not interfere with nearby sensitive components. Verify that the physical dimensions fit within the designated PCB footprint constraints.

Arrays, Signal Transformers Part Context

This part belongs to the SMT45A series of surface-mount power inductors from Gowanda Electronics. The series is characterized by precision-engineered magnetic components designed for superior performance in various electronic applications. The model number indicates specific inductance values and winding configurations.

Arrays, Signal Transformers Replacement Considerations

Publicly confirmed substitute part numbers are not available in the provided documentation. Consult Gowanda Electronics directly for equivalent alternatives or cross-reference data.