Abstract
Due to various environmental issues such as global warming, eco-friendly technology becomes more significant attention in manufacturing industries. In textile industry, a large amount of chemicals substances and energy can cause serious environmental pollution, so that it is necessary to develop and use eco-friendly fiber material to keep our environment clean. Extraction of optimal process conditions and prediction of the product quality before production starts are the critical steps to reduce the waste and defect rate in developing biodegradable eco-friendly materials. This paper proposes an AI-based algorithm that predicts the optimal process conditions and parameters of the spinning process based on manufacturing data. The developed algorithm is consisted of various machine learning models, and the performance of the model is verified by performance indicator evaluation of actual production processes.
Published Version
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