Scharnberger+Hasenbein 60800 Fuse assortment 10 with 120 fine-wire fuses 6.3x32 F
0.32 ANominal current3
Product details
The 60800 fuse assortment 10 from Scharnberger+Hasenbein offers a comprehensive selection of 120 fine fuses with dimensions of 6.3x32 mm. This assortment is ideal for applications where a quick interruption of overcurrent or short-circuit currents is necessary. The fast G-fuse inserts are specifically designed for devices that do not generate current surges when switched on or during operation, yet must withstand high overcurrent situations. The various rated currents included in this assortment allow for flexible adaptation to different requirements in electrical circuits. These fuses are manufactured in Germany and are characterized by their reliability and efficiency.
- Contains 120 fine fuses with various rated currents: 315mA, 500mA, 800mA, 1A, 1.25A, 1.6A, 2A, 2.5A, 4A, 5A, 6.3A, 10A
- Suitable for applications where high overcurrent or short-circuit currents need to be quickly interrupted
- Fast tripping characteristic for reliable protection
- Made in Germany, ensuring high quality standards
- Ideal for use in electrical circuits as a pre-fuse for short circuits.
30-day right of return if unopened
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Reviews & Ratings
Statutory warranty score
How often does a product of this brand in the «Fuses» category have a defect within the first 24 months?
Source: Galaxus- Scharnberger+HasenbeinNot enough data
- 1.Beha Amprobe0 %
- 1.Goobay0 %
- 1.Max Hauri0 %
- 1.Perel0 %
Statutory warranty case duration
How many working days on average does it take to process a warranty claim from when it arrives at the service centre until it’s back with the customer?
Source: Galaxus- Scharnberger+HasenbeinNot enough data
- Beha AmprobeNot enough data
- Fusibles LacNot enough data
- GoobayNot enough data
- HagerNot enough data
Unfortunately, we don't have enough data for this category yet.
Return rate
How often is a product of this brand in the «Fuses» category returned?
Source: Galaxus- Scharnberger+HasenbeinNot enough data
- 1.Beha Amprobe0 %
- 1.Littelfuse0 %
- 3.Mersen0,3 %
- 4.Perel0,5 %