EE Awards / Conquer Electronics Co., Ltd. / High-Current SMD Fuse for AI Servers & Data Centers-48MH Series
Conquer Electronics Co., Ltd.
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High-Current SMD Fuse for AI Servers & Data Centers-48MH Series
Candidate for:EE Awards - Discrete
High-Current SMD with specification up to 80VDC and current up to 225A, comply with the UL248-13 safety standard.
The integrated design of alloy wire and terminal electrode can save production time, material cost and energy loss, and complies with the EU RoHS directive for 100% lead-free materials. The patch design can save space, produce quickly and accurately, reduce manual work and improve production capacity.

The competitive advantages of 48MH product quality are as follows:

1. Exceeding the industry benchmark and customer expectations: The specifications, structural design and safety performance of 48MH fuses are better than those of world-class manufacturers, providing customers with better choices.

2. High reliability and durability: AI data centers need to maintain high availability for long-term uninterrupted operation. Any equipment downtime may cause huge losses. Therefore, the reliability of the fuse must be extremely high and able to withstand the needs of long-term stable operation. This also requires the fuse to have extremely high durability and not prone to aging or failure. The 48MH series is complied with automotive AEC-Q200 environmental test standard, and the high reliability is suitable for harsh power environments with long-term operation and frequent temperature variations.

3. SMD package meets the automated production requirements: It realizes automated SMD process, save space and production efficiency. It is especially suitable for high-density servers and power supply modules.

4. Strict development process: Introduce APQP early product quality planning, and strictly conduct product review, verification and improvement from the EVT stage. Based on rich design experience and the application of FMEA failure mode analysis, the product implements early failure risk prevention measures and quality optimization design.
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