期刊文献+

基于软体手指的自动翻布装置及其应用效果

Automatic fabric flipping device based on soft fingers and its application effect
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摘要 为实现缝纫工序中自动化设备间的无缝衔接,提高协同工作效率,采用气动驱动装置驱动杆件直线移动来模拟人手的翻布动作,设计了一种自动翻布装置,可完全替代人手操作,在软体手指的配合下完成面料的自动抓取、分离,并将缝合后的2层布片自动展平;在此基础上归纳了影响该翻布装置效果的因素,从布片偏转角度和偏移距离2个维度评价其翻布效果,建立了二维5级评价模型。然后选取3种市面上常见的面料,完成2层布片缝合操作后,通过正交试验分别分析其在5、10和15 mm缝份下的最优翻布工艺因素配伍方案,并结合多元回归分析方法建立基于织物性能的翻布效果预测模型。验证结果表明,该预测模型的预测准确率为80%,具有较好的预测性和参考价值,可有效减少人工干预,提高生产一致性,促进服装生产全自动智能化发展。 Objective In order to achieve the seamless connection between the automatic equipment in the sewing process and to improve the collaborative work efficiency,the joined fabric pieces after sewing need unfolding before ironing process.In order to optimize the manual repetitive process of fabric retrieval and flipping,the linear movement of a rod driven by a pneumatic drive device was applied to simulate the fabric flipping action by human hands,leading to the design of an automatic fabric flipping device.Combined with soft fingers,this device is expected to automatically grab and separate cloth and unfold two sewed fabrics before the transfer and ironing processes.Method The fabric flipping device was designed to summarize factors affecting the performance of the device.Its effect was evaluated by the deflection angle and the slip distance,and a two-dimensional 5-level evaluation model was established.Thereafter,three common production fabrics on the market were selected,the two-layer fabric sewing operation was completed to analyze the optimal combination plan for fabric flipping process factors through orthogonal experiments under 5,10 and 15 mm seam allowances.A prediction model of fabric flipping effect for common production fabrics was built combining multiple regression analysis method.Results Through the orthogonal test of fabric flipping effect,the influencing factors of fabric flipping effect for different fabrics were discussed.The optimal compatibility combinations of the influencing factors for different fabrics were summarized.This result has extensive applicability and facilitates the application of the fabric flipping device in actual production.By employing the multiple linear regression analysis method,a prediction model for the relationship among the fabric,device structure,and fabric flipping effect was established.The prediction accuracy of the model reached 80%,demonstrating good predictability.Using this model,the actual fabric flipping effect values of different fabrics were predicted,and recommendations for the corresponding fabric parameters,device parameters,and fabric flipping process requirements were achieved.Conclusion The automatic fabric flipping device designed has the characteristics of simple structure and convenient operation,which enables automatic fabric flipping operation under the coordinated cooperation of soft finger fingers in the sewing process,effectively reducing manual intervention and improving production efficiency.At the same time,the device provides convenience for subsequent operations such as transportation and ironing,providing reference for completing the entire sewing process automation,indicating that automatic fabric flipping technology has good application prospects and reference value in garment industry.
作者 王建萍 翁雨鑫 沈津竹 张帆 刘霂珂 WANG Jianping;WENG Yuxin;SHEN Jinzhu;ZHANG Fan;LIU Xianke(College of Fashion and Art Design,Donghua University,Shanghai 200051,China;Key Laboratory of Clothing Design and Technology,Ministry of Education,Donghua University,Shanghai 200051,China;Shanghai Belt and Road Joint Laboratory of Textile Intelligent Manufacturing,Donghua University,Shanghai 200051,China;Shanghai International College of Design&Innovation,Tongji University,Shanghai 200092,China;Suzhou Rochu Robotics Co.,Ltd.,Suzhou,Jiangsu 215600,China)
出处 《纺织学报》 北大核心 2025年第1期197-205,共9页 Journal of Textile Research
基金 张家港市科技计划项目(ZKYY2337) 上海高校本科重点教改项目(SJG23-06) 中国纺织工业联合会高等教育教学改革项目(2021BKJGLX123)。
关键词 自动翻布装置 缝制工序 软体手指 气动驱动 智能织造 多元回归 automatic fabric flipping device sewing process soft finger pneumatic drive intelligent manufacturing multiple regression
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