A Study on the Prediction of Characteristics of Molding Sand Using Machine Learning and Data Preprocessing Techniques

The main components of molding sand used in casting are sand, clay and water. composition the has a great influence on properties casting. In order to obtain high-quality castings, it is important manage that affect such as especially green compression strength compactability. this work, compactability predicted through machine learning technique using processing data obtained from foundry input variables. Through correlation analysis between variables response variable, we investigated relationship sand. possibility predicting characteristics with high accuracy was confirmed model created preprocessing real data. If adjusted generated model, expected higher quality castings can be produced productivity increased.