Implementation of an Intelligent Monitoring System Based on Quality 4.0 of the Induction Hardening Process

At the dawn of the fourth industrial revolution, many companies don’t know how to adapt new technologies for quality management. Consequently, they run the risk of falling behind technological progress and losing their competitiveness. Therefore, in this article we will focus on the implementation phase of an intelligent supervision system that provides real-time control in order to have 100% compliant products. To do this, our case study is based on the study of the Induction Hardening machine which produces mechanical transmission parts. The goal of our research is the prediction of the hardness quality of the part before its manufacture, hence the need to integrate sensors for reading input data in real time and controlling their variation to ensure conformity of the hardness of the manufactured part. After the study of the machine and the selection of the input parameters, the python algorithm was chosen to carry out the automatic comparison between the parameters entered and their suitable predefined values. Thus, a diagram of an intelligent supervision system was developed to ensure compliance of the hardness of the part. This intelligent supervision system will allow to have zero scrap and therefore an elimination of the cost of non-quality.