Abstract
Foundry techniques for large steel casting depends on the skills of foundrymen considerably. Especially, the problem of reducing casting surface defects is difficult to clear numerically. Statistical analysis by using quantification theory for hot tear and sand inclusion, and multiple regression analysis for dimensional defects have been shown to be examples of solving this difficulty.
Many causes of surface defects can be evaluated by these analyses.
These evaluations serve as the base data of defect reduction and contribute to the constant improvement of casting quality and quality enhancement activity.
The system to perform quality enhancement activity was developed and it proved very useful for transfering foundry techniques and skills from the old to young generations.
