Application of PC A and MANO VA in Automotive Engineering - (PPT)

摘要

Many factors are involved in the design and manufacture of an automotive component that effect the performance of the part. All factors that are involved in the design and manufacture are not equally important. The problem becomes complicated when the performance is multivariate in nature. Principal component analysis (PCA) and multivariate analysis of variance (MANOVA) are used as a tool to identify and optimize the critical factors that affect the desired performance of a large automotive stamping and a fixed glass component. These two case studies show how PCA and MANOVA can be very effective to identify and optimize the performance and at the same time reduce the overall cost of the vehicle component systems.