Backplane Connectors - Housings

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CONN SHROUD C11 55POS

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CONN SHROUD AB22 154POS

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CONN RCPT HSG DIN 41612 48POS

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CONN RCPT HSG HAR-BUS 160POS

19

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CONN RCPT HSG DIN 41612 64P GRY

312

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CONN RCPT HSG HAR-BUS 160POS

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CONN SHROUD HAR-BUS 160POS

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CONN SHROUD DIN 41612 96POS

27

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8

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CONN SHROUD DIN 41612 96POS

108

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CONN MODULE DIN 41612 32POS

60

Backplane Connectors - Housings

1. Overview

Backplane connectors housings are critical electromechanical components that enable high-density interconnections between printed circuit boards (PCBs) in complex electronic systems. These housings serve as structural supports and alignment guides for mating contacts while providing environmental protection and mechanical stability. Their importance in modern technology lies in enabling scalable, high-speed data transmission architectures for telecommunications, computing, and industrial equipment.

2. Main Types and Functional Classification

TypeFunctional CharacteristicsApplication Examples
High-Density HousingsMiniaturized contact spacing ( 2.54mm), supports >1000 contactsData center switches, blade servers
High-Speed HousingsControlled impedance (100 10 ), supports >25Gbps differential pairs5G base stations, optical transport systems
Modular HousingsField-replaceable contact inserts, tool-less assemblyIndustrial control cabinets, test equipment
Power-Optimized HousingsHigh-current contacts (up to 30A), thermal management featuresPower distribution units, energy storage systems

3. Structure and Composition

Typical backplane housing assemblies consist of:

  • Dielectric Frame: LCP or PBT thermoplastic with UL94 V-0 flammability rating
  • Contact Cavities: Precision-machined compartments with polarizing keys
  • Shielding Elements: Integrated EMI gaskets and conductive plating (often tin-over-nickel)
  • Mounting Features: Through-hole or surface-mount retention pegs with anti-rotation tabs
  • Thermal Management: Ventilation channels and heat-dissipating fins (for power variants)

4. Key Technical Specifications

ParameterTypical RangeImportance
Contact Resistance5-20m Impacts signal integrity and power efficiency
Insulation Resistance>1000M Ensures electrical safety and crosstalk prevention
Current Rating1-30A per contactDetermines power delivery capacity
Voltage Withstand500-1500VACCrucial for high-voltage isolation
Operating Temperature-55 C to +125 CAffects reliability in harsh environments
Insertion Force20-80NInfluences mating durability and tooling requirements

5. Application Fields

Primary industries utilizing backplane connector housings include:

  • Telecommunications (5G NR base stations, core routers)
  • Data centers (U.2 SSD backplanes, AI accelerator racks)
  • Industrial automation (PLC backplanes, CNC controller arrays)
  • Medical imaging (MRI scanner detector interconnects)
  • Military/aerospace (avionics databus backplanes)

6. Leading Manufacturers and Products

ManufacturerRepresentative ProductKey Features
TE ConnectivityMegArray 2.025Gbps capability, 2000+ contact density
Amphenol ICCCB1-AU SeriesModular architecture with hot-swap capability
MolexImpel SystemScalable from 1U to 10U rack configurations
SamtecArrowstone 0.8mm contact pitch with self-aligning guides

7. Selection Recommendations

Key considerations during component selection:

  1. Signal integrity requirements (rise time vs. bandwidth)
  2. Mechanical mating cycles (500+ for test equipment applications)
  3. Thermal derating curves for high-current scenarios
  4. Compliance with industry standards (IPC-6012, MIL-STD-810)
  5. Field serviceability requirements (modular vs. monolithic design)

8. Industry Trends Analysis

Current development trends include:

  • Migration to 56Gbps+ PAM4 signaling protocols
  • Adoption of hybrid optical/electrical backplane architectures
  • Integration of embedded monitoring sensors (temperature/vibration)
  • Implementation of additive manufacturing for complex geometries
  • Growing demand for RoHS-compliant, halogen-free materials

Market forecasts predict 8.7% CAGR through 2030 driven by 5G infrastructure and AI hardware demands.

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