BLM18AG221SZ1D

Murata Electronics
81-BLM18AG221SZ1D
BLM18AG221SZ1D

Mfr.:

Description:
Ferrite Beads
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Datasheet:
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Learn more about Murata Electronics BLM18AG221SZ1D

In Stock: 10.415

Stock:
10.415 Can Dispatch Immediately
Factory Lead Time:
20 Weeks Estimated factory production time for quantities greater than shown.
Minimum: 1   Multiples: 1
Unit Price:
Rp-
Ext. Price:
Rp-
Est. Tariff:
Packaging:
Full Reel (Order in multiples of 4000)

Pricing (IDR)

Qty. Unit Price
Ext. Price
Cut Tape / MouseReel™ †
Rp1.835 Rp1.835
Rp1.064 Rp10.640
Rp844 Rp21.100
Rp752 Rp75.200
Rp642 Rp160.500
Rp587 Rp293.500
Rp514 Rp514.000
Full Reel (Order in multiples of 4000)
Rp440 Rp1.760.000
Rp385 Rp3.080.000
† A MouseReel™ fee of Rp98.000 will be added and calculated in your basket. All MouseReel™ orders are non-cancellable and non-returnable. ↩

Product Attribute Attribute Value Select Attribute
Murata
Product Category: Ferrite Beads
RoHS:  
BLM18_Z
Ferrite Beads
SMD/SMT
0603 (1608 metric)
220 Ohms
700 mA
25 %
250 mOhms
- 55 C
+ 125 C
1.6 mm
0.8 mm
0.6 mm
AEC-Q200
Reel
Cut Tape
MouseReel
Brand: Murata Electronics
Product Type: Ferrite Beads
Shielding: Unshielded
Factory Pack Quantity: 4000
Subcategory: Ferrites
Test Frequency: 100 MHz
Type: Chip Ferrite Bead
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Attributes selected: 0

Datasheet

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Compliance Codes
CNHTS:
8548000001
CAHTS:
8548000000
USHTS:
8548000000
JPHTS:
854800000
TARIC:
8504901110
ECCN:
EAR99
Origin Classifications
Country of Origin:
Thailand
Assembly Country of Origin:
Not available
Country of Diffusion:
Not available
The country is subject to change at the time of shipment.

EMI Noise Suppression

Noise suppression has become an important issue, especially regarding electromagnetic interference (EMI) and electromagnetic compatibility (EMC). Murata provides engineers with complete support, including products and design-simulation software solutions based on expertise achieved through extensive on-site experience. This enables Murata to provide noise suppression solutions for a broad array of applications.

BLM Chip Ferrite Beads

Murata BLM Chip Ferrite Beads are designed for power supply circuits that require high rated current. The ferrites are suitable for suppressing high-frequency noise over a wide frequency range in power supply circuits. Murata BLM EMIFIL Chip Ferrite Beads offer AEC-Q200 certified products for automotive applications such as infotainment and powertrain safety applications. Non-automotive grade ferrites are ideal for general purpose power supply circuits, including industrial, factory automation, and networking.

BLM Ferrite Beads for Powertrain & Safety

Murata Electronics BLM Ferrite Beads for Powertrain and Safety include optimum components that meet various rated current and noise frequency ranges. These ferrite beads include products that support currents up to 20A and other similar series suitable for power circuits. BLM ferrite beads from Murata handle large currents, making them suitable for harsh environments and various powertrain and safety applications.

Automotive Noise / EMI Suppression Filters

Murata Electronics Automotive Noise / EMI Suppression Filters offer components for noise suppression from various approaches, such as small-sized EMI suppression filters and AC line filters that effectively suppress noise. Also among these components are ferrite cores and microwave absorbers, which suppress noise even after the set is completed. Murata offers ESD protection devices that protect semiconductors from static electricity entering from outside.

AI Server Application Solutions

Murata Electronics provides a wide range of products suitable for AI environments and applications. Due to demanding AI requirements, engineers must address challenges like heat management, power efficiency, and signal integrity to keep pace with the increasing complexity of AI workloads. These advanced, reliable components from Murata help meet these challenges head-on. Designed to ensure optimal performance, efficiency, and reliability in AI server infrastructure, these products enable engineers to create systems that can scale with future advancements in AI.

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