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Roughness Evaluation of the Inner Lead of a Lead Frame / Surface roughness measurement of a micro area using a laser microscope


Application

A lead frame is an important part that serves as a base for integrated circuit (IC) and large-scale integration (LSI) semiconductor packaging. The frame is a thin layer of metal that supports a semiconductor chip to connect it to outside wiring. The frame is comprised of a die pad that holds the chip, inner lead wires that connect to the chip, and outer lead wires. The inner leads are connected to the chip with gold wiring. The surface of the inner leads must be rough to ensure that the gold wire and inner lead join together adequately. Consequently, checking surface roughness is an important part of quality management.
As semiconductor packages become smaller and denser, the inner leads also become smaller. Manufacturers must employ tools that enable them to measure and evaluate surface roughness in a very small area.

The Olympus solution

Olympus' LEXT 3D scanning laser microscope enables high-resolution surface roughness measurement with a horizontal resolution of 0.12 μm and a step resolution of 5 nm. With traditional contact-type roughness measurement tools, placing the stylus directly on a single ultra-fine lead is very difficult. The LEXT’s non-contact laser microscope can image an ultra-fine lead for measurement without damaging the sample surface. The microscope’s confocal optical system captures 3D visual data over small steps.

Inner lead

inner_lead_objective10X

Objective lens 10X

Inner lead in 3D

3d_inner_lead_objective20X

Objective lens 20X

Surface roughness of the tip of an inner lead

surface_roughness_of_the_tip_of_an_inner_lead_objective100X_zoom2X

Objective lens 100X, Zoom 2X

Olympus IMS

Productos para la aplicación
NEW

El microscopio de escaneo láser LEXT™ OLS5100 combina precisión y rendimiento óptico a un nivel excepcional junto con herramientas inteligentes que facilitan su uso. Las tareas de medición precisa y submicrométrica con respecto a la forma y la rugosidad superficial son rápidas y eficientes, lo que simplificará su flujo de trabajo y proporcionará datos de alta calidad en los que puede confiar.

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