Abstract
Recent paradigm shifts in manufacturing have resulted from the need for a smart manufacturing environment. In this study, we developed a model to detect anomalous signs in advance and embedded it in an existing programmable logic controller system. For this, we investigated the innovation process for smart manufacturing in the domain of synthetic rubber and its vulcanization process, as well as a real-time sensing technology. The results indicate that only analysis of the pattern of input variables can lead to significant results without the generation of target variables through manual testing of chemical properties. We have also made a practical contribution to the realization of a smart manufacturing environment by building cloud-based infrastructure and models for the pre-detection of defects.
Highlights
Signs of manufacturing reshoring are being detected in manufacturing upbringing policies worldwide
The optimum vulcanization rate varies depending on the use of the product, but in the case of styrene butadiene rubber (SBR) for shoe soles, the optimum vulcanization rate is determined by the vulcanization shrinkage ratio, which is a proportional function of thermal expansion rate, and the specific heat capacity of rubber is between 1.5 and 2.5
Previous studies on most vulcanization processes investigated the properties of polymers
Summary
Signs of manufacturing reshoring are being detected in manufacturing upbringing policies worldwide. Measurement science for additive manufacturing, which leads the manufacturing industry in the US, aims to develop automation models for tasks such as material characterization, sensor measurement and monitoring, and database preparation through performance verification and digitization [1,2]. This paradigm shift in manufacturing has resulted from changes in the smart manufacturing environment. We improve the manufacturing process with sensor-based real-time control and build a failure control model with a smart manufacturing environment. We summarize the academic significance and practical contribution of this study, and identify directions for future research
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