Risk Assessment Study of Copper Pillar Structure by using Bayesian Networks

摘要

Risk Assessment is a mandatory step in product development phase to ensure its Quality and Reliability. For a structural assessment, Finite Element Analysis (FEA) is used commonly in order to know where to be assessed or to judge certain part can be withstood in terms of mechanical stress intensity. FEA results predict some mechanical weak area and/or reliable life time. However, it doesn't tell where Quality and Reliability risks are hidden. This study intends to identify potential reliability risk of copper pillar structure in temperature cyclic loads by using Bayesian Networks (BN). As a conclusion, a BN model suggested higher value of probable failure part and it was well co-related with a result of temperature cyclic load test.