This study provides a comprehensive analysis of the dobby heald lifting mechanism's role in the textile weaving process. It specifically focuses on motion control methods aimed at improving yarn tension and fabric quality. The study proposes an optimized heald frame motion law to address the negative impact of heald movement on warp tension and yarn breakage rate. By utilizing a reverse modeling approach, the study uncovers the intricate relationship between the lifting mechanism's components and their contribution to achieving precise lifting. This approach involves finding cam profile solutions based on theoretical heald frame motion. Mathematical models are then used to establish correlations between heald frame motion and cam profile coordinates, enabling machine optimization. In order to assess the influence of errors in cam profiles on heald frame motion, simulations are conducted using the Monte Carlo method. The study concludes that both systematic and random errors have a significant impact on heald frame movement, which in turn affects machine performance and weaving quality. By conducting a comparative analysis, the study provides guidance on minimizing errors in cam design, thus enhancing the precision of the heald frame. This research contributes to the field of textile machinery design and manufacturing.

The purpose of this study was to clarify the relationship between the physical properties of cotton towels and subjects' preferences. 52 towel samples were measured for physical properties and subjectively evaluated by 59 subjects. Subjects were classified into clusters based on their subjective evaluations, and multiple regression analysis was used to examine the relationship between tactile and physical properties and differences in preferences. In results, subjects were divided into three clusters; the cluster (a) that emphasized fullness, the cluster (b) that valued fluffiness, and the cluster (c) that attached importance to smoothness. For the cluster (a), thickness had the greatest influence on preference. For the cluster (b) and (c), when towels had similar thickness, compressional resilience RC and mean deviation of friction coefficient MMD had the most influence on the evaluation of preference, but when the thickness were different, the cluster (b) emphasized sensations based on compressional energy WC and the cluster (c) emphasized sensations based on RC and MMD. These results will contribute to manufacturing that meets diverse preferences in the future.