Integration of artificial intelligence in an injection molding process for on-line process parameter adjustment

Significant growth in the application of Artificial Intelligence (AI) due to the introduction of the Industrial Internet of things (IIoT) and cloud computing is leading to the practical presence of machine learning (ML) on the factory floor. This trend is described as a fourth industrial revolution, Industry 4.0. To this end, a convenient platform for the practical inclusion of AI at the controller level of the injection molding process is outlined. Special attention is given to the adaptability of the methodology so that it can be considered for the general case. An initial test conducted on an injection molding machine (IMM) shows that data mining and ML methods can be used for industrial big data to improve controller performance.