2010
DOI: 10.1016/j.microrel.2010.03.012
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Interface delamination analysis of TQFP package during solder reflow

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Cited by 20 publications
(4 citation statements)
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“…Molding materials for semiconductor packaging must possess strong adhesiveness to prevent delamination owing to the stress produced in environmental testing. [37,38] In particular, the adhesiveness to Si and Cu, which are commonly used for lead frames and wiring, is an essential property for semiconductor package molding materials. In addition, because organic materials are prone to thermal decomposition, their properties may deteriorate after long-term storage at high temperatures.…”
Section: Adhesion Propertiesmentioning
confidence: 99%
“…Molding materials for semiconductor packaging must possess strong adhesiveness to prevent delamination owing to the stress produced in environmental testing. [37,38] In particular, the adhesiveness to Si and Cu, which are commonly used for lead frames and wiring, is an essential property for semiconductor package molding materials. In addition, because organic materials are prone to thermal decomposition, their properties may deteriorate after long-term storage at high temperatures.…”
Section: Adhesion Propertiesmentioning
confidence: 99%
“…Moisture diffuses from the package's exterior surfaces into the MC. Fick's second law can be applied to describe the moisture diffusion process in polymer materials [10]. For the isotropic material, ∂C/∂t=D (∂ 2 C/∂x 2 +∂ 2 C/∂y 2 +∂ 2 C/∂z 2 ) (1) Where D is the diffusion coefficient, C is the moisture concentration, x, y and z is Cartesian coordinates, and t is the time.…”
Section: Theoretical Analysismentioning
confidence: 99%
“…First of all, the reasonable simplification for the physical model should be executed to obtain the thermal simulation model. In the paper, the following specific model simplifications have be done to establish the finite element model of thermal simulation [5][6]: A side is only BGA component, and B side is mini-size chip components.…”
Section: Design Of Simulating Model and Process Parametersmentioning
confidence: 99%