Design, Integration and Evaluation of an Artificial Intelligence-Based Control System for the Improvement of the Monitoring and Quality Control Process in the Manufacturing of Metal Casting Components

摘要

An Artificial Intelligence-Based Control System (AIBCS) combined with Thermal Analysis (TA) is applied in this research on the manufacturing of aluminum casting components. The AIBCS comprises three interrelated IT's based on statistical quality control techniques and Artificial Intelligence concepts. The IT's integrated in the AIBCS are a Real-Time Data Acquisition System (RTDAS), a Statistical Process Control System (SPCS) and a Knowledge-Based System (KBS). Laboratory experiments and assessment of the AIBCS's performance in terms of accuracy, reliability and timeliness showed superior monitoring and quality control of the casting process than traditional techniques.