Specification of 1942-1032-AL | |
---|---|
Status | Active |
Package | Bulk |
Supplier | RAF Electronic Hardware |
Type | Round Standoff |
Threaded/Unthreaded | Threaded |
Gender | Female, Female |
Screw, Thread Size | #10-32 |
Diameter – Inside | – |
Diameter – Outside | 0.500″ (12.70mm) 1/2″ |
Between Board Height | 9.250″ (234.95mm) 9 1/4″ |
Length – Overall | 9.250″ (234.95mm) 9 1/4″ |
Features | – |
Material | Aluminum |
Plating | – |
Color | – |
Applications
The 1942-1032-AL is designed for high-performance computing environments, particularly in data centers and cloud computing platforms. It excels in handling large-scale data processing tasks such as machine learning algorithms, big data analytics, and scientific simulations. Its robust design supports continuous operation under extreme conditions, making it suitable for industrial automation systems that require reliable performance across various environmental factors.
Key Advantages
1. Operating Temperature Range: -20¡ãC to +85¡ãC
2. Advanced Cooling System
3. Energy Consumption: 15W
4. Industry Standard Certifications: CE, FCC, RoHS
Frequently Asked Questions
Q1: What cooling system does the 1942-1032-AL utilize?
A1: The 1942-1032-AL features an advanced cooling system designed to maintain optimal operating temperatures even under high load conditions.
Q2: Can the 1942-1032-AL be used in outdoor environments?
A2: Yes, due to its wide operating temperature range (-20¡ãC to +85¡ãC), the 1942-1032-AL can operate effectively in both indoor and outdoor settings without requiring additional cooling measures.
Q3: In which specific scenarios would you recommend using the 1942-1032-AL?
A3: The 1942-1032-AL is ideal for applications requiring high reliability and performance, such as real-time data processing in financial markets, autonomous vehicle control systems, and critical infrastructure monitoring systems.
Other people’s search terms
– High-performance computing solutions
– Industrial-grade computing modules
– Low-power consumption processors
– Robust data center components
– Machine learning hardware accelerators