Optimization of sand casting performance parameters and missing data prediction.

ABSTRACT: Due to a wide range of applications, sand casting occupies an important position in modern casting practice. The main purpose of this study was to optimize the performance parameters of sand casting based on grey relational analysis and predict the missing data using back propagation (BP) neural network. First, the influence of human factors was eliminated by adopting the objective entropy weight method, which also saved manpower. The larger variation degree in the evaluation indicators, indicating that the evaluated projects had good discrimination in this regard, the larger weight should be given to these evaluation indicators. Second, the performance parameters of sand casting were optimized based on grey relational analysis, providing a reference for sand milling. The larger the grey r

SUBMITTER: Xu Q 

PROVIDER: S-EPMC6731703 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature