文献类型：会议论文

英文题名：Research Progress on Detection Technology for Warp Sizing Rate

作者：Lu, Haojie[1]; Jin, Enqi[2]; Zhou, Jiu[1]; Li, Manli[2]

机构：[1] School of Textile Science and Engineering, Zhejiang Sci-Tech University, Hangzhou, China; [2] School of Textile and Apparel, Shaoxing University, Shaoxing, China

会议论文集：International Conference on Algorithms, High Performance Computing, and Artificial Intelligence, AHPCAI 2023

会议日期：August 18, 2023 - August 19, 2023

会议地点：Yinchuan, China

语种：英文

外文关键词：Artificial intelligence - Fourier transform infrared spectroscopy - Image processing - Infrared devices - Moisture determination - Near infrared spectroscopy - Silicon - Spectroscopic analysis

外文摘要：To scrutinize the uniformity and quality of the sizing rate during the warp sizing process, this research elucidates the underlying principles of various sizing rate detection methods and their respective roles and advancements in detection technology. The paper embarks on a comprehensive exploration and analysis of the models, applicability, and evolution of a myriad of sizing rate detection technologies, namely, the desizing method, near-infrared spectroscopy method, image processing method, quantitative liquid level method, sizing yarn moisture content measurement method, and artificial intelligence model prediction method. Further, the unique attributes and potential constraints of each method are critically evaluated. ? 2023 SPIE. All rights reserved.