Skip to content
Login Register

ES Micro Series H-Pin® Socket

ES Micro Series Socket is a technological advancement in the burn-in socket segment, with a dual latch clamshell lid to provide co-planar pressure on the DUT when the lid is actuated. The inclusion of the patented H-Pin contact technology in the ES Micro-Series socket provides market-leading electrical performance in the smallest footprint for the highest possible parallelism on a burn-in board. This series is compatible with standard heaters and temperature sensors.

Download Brochure

Features & Benefits

  • Configurable design, In-house tooling and molds allow for the lowest cost of test.
  • An extensive catalog of standard parts reduces cost and lead time.
  • Double-latching clamshell provides ease of use during operation and clearance for lid operation.
  • Exceptional electrical performance provides wide RF bandwidth.

Feature Options

  • LGA, BGA, and package on package
  • Spring loaded plunger
  • Heat sink
  • HAST venting features
  • Integrated thermal control with heater and sensor
  • Reverse seating plane
  • Max component clearance under the DUT
  • High temperature materials for above 200 °C applications

Documents & Literature

Related News

  • Image of Optical Transceivers

    Reflex Photonics Legal Name Change

    Continuing that journey, we are pleased to inform you that we have begun the process of changing the legal name of our company from Reflex Photonics Inc. to Smiths Interconnect Canada Inc.

  • Image of Optical interconnect for high-speed, high- bandwidth 10GigE and 40GigE cameras used in machine vision.

    Taking the Fast Bridge between Neural Networks

    Neural networks have been around since the 1950s. The advent of fast, massively parallel processors like the Graphics Processing Unit (GPU) have made neural network applications like object recognition feasible. Neural networks are one means used to create Artificial Intelligence (AI). The latest iPhones now have an AI chip, primarily to offload face recognition tasks.1 Voice translation tasks would also benefit from an AI chip. Google provides voice translation as long as there is access to a cloud. The ability to translate directly from a phone without requiring Internet access to Google engines would be advantageous, and it’s possible that the iPhone is headed in that direction.