[1]王金钊,侯 珏,杨 阳,等.针刺吸盘抓取单层服装裁片的影响因素分析[J].服装学报,2025,10(01):33-0039.
 WANG Jinzhao,HOU Jue,YANG Yang,et al.Analysis of Factors Affecting Needle-Pin Suction Cup Grabbing of Single-Layer Clothing Cutting Pieces[J].Journal of Clothing Research,2025,10(01):33-0039.
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针刺吸盘抓取单层服装裁片的影响因素分析()
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《服装学报》[ISSN:2096-1928/CN:32-1864/TS]

卷:
第10卷
期数:
2025年01期
页码:
33-0039
栏目:
服装智造
出版日期:
2025-03-15

文章信息/Info

Title:
Analysis of Factors Affecting Needle-Pin Suction Cup Grabbing of Single-Layer Clothing Cutting Pieces
作者:
王金钊1; 2;  侯 珏1; 2; 3;  杨 阳1; 2;  封 磊4;  刘 正*1; 5
1.浙江理工大学 浙江省服装工程技术研究中心,浙江 杭州 310018; 2.浙江理工大学 服装学院,浙江 杭州 310018; 3.武汉纺织大学 武汉纺织服装数字化工程技术研究中心,湖北 武汉 430073; 4.嘉兴市良友制衣有限公司,浙江 嘉兴 314003; 5.浙江理工大学 国际时装技术学院,浙江 杭州 310018
Author(s):
WANG Jinzhao1; 2;  HOU Jue1; 2; 3;  YANG Yang1; 2;  FENG Lei4;  LIU Zheng*1; 5
1.Apparel Engineering Technology Research Center of Zhejiang Province,Zhejiang Sci-Tech University,Hangzhou 310018,China; 2.School of Fashion Design and Engineering,Zhejiang Sci-Tech University,Hangzhou 310018,China; 3.Wuhan Textile and Apparel Digital Engineering Technology Research Center, Wuhan Textile Untiversity,Wuhan 430073,China; 4.Jiaxing Liangyou Clothing Making Co., Ltd, Jiaxing 314003,China; 5.International Institute of Fashion Techno-logy, Zhejiang Sci-Tech University,Hangzhou 310018,China
分类号:
TS 941.61
文献标志码:
A
摘要:
为了探究服装生产中针刺吸盘自动抓取单层裁片的影响因素,选取18种织物裁片进行抓取实验。通过确定裁片抓取效果的评价尺度,对裁片物理属性与抓取效果进行相关性分析; 基于逐步多元回归分析法建立吸盘出针长度的抓取效果模型,定义针刺吸盘抓取指数,并提出针刺吸盘抓取裁片的参数设置方法。研究表明:裁片抓取效果与织物厚度、密度、面密度和硬挺度相关性较高,对应相关性指标分别为0.697,0.687,0.733和0.443; 面料柔软度和光滑度及纱线参数可影响抓取效果; 针刺吸盘抓取指数可通过裁片物理属性进行回归预测; 预测模型的调整R2达到0.91,进而确定吸盘出针长参数。
Abstract:
To explore the influencing factors of the automatic grabbing single-layer fabric piece by needle-pin suction cup in garment production, 18 types of fabric pieces were selected for grabbing experiments. By determining the evaluation scale of the grabbing effect of fabric pieces, the correlation analysis between the physical properties of fabric pieces and the grabbing effect is conducted. A regression model, incorporating suction pin withdrawal length, is developed, along with the introduction of the "needle-pin suction cup grabbing index to quantify grabbing effectiveness. Additionally, a novel approach for configuring needle-pin suction cup parameters is proposed. The findings underscore the significance of fabric thickness, density, surface density, and stiffness, with high correlation coefficients of 0.697, 0.687, 0.733, and 0.443, respectively. Furthermore, fabric suppleness, smoothness, and yarn characteristics significantly influence grabbing efficacy. Predictive regression analysis of the needle-pin suction cup grabbing index, The adjusted of the prediction model reaches 0.91, thereby determining the suction cup needle length parameter.

参考文献/References:

[1] 刘汉邦, 李新荣, 刘立东. 服装面料自动抓取转移方法的研究进展[J]. 纺织学报, 2021, 42(1): 190-196.
LIU Hanbang, LI Xinrong, LIU Lidong. Research progress of automatic grabbing and transfer methods for garment fabrics[J]. Journal of Textile Research, 2021, 42(1): 190-196.(in Chinese)
[2] SUN B, ZHANG X Y. A new electrostatic gripper for flexible handling of fabrics in automated garment manufacturing[C]//2019 IEEE 15th International Conference on Automation Science and Engineering(CASE). Canada:IEEE, 2019: 879-884.
[3] FAILLI F, DINI G. An innovative approach to the automated stacking and grasping of leather plies[J]. CIRP Annals, 2004, 53(1): 31-34.
[4] CUBRIC G, NIKOLIC G, SIGNJAR S. Catching the woven fabric with vacuum gripper[M]//Proceedings of the 23rd International DAAAM Symposium 2012.Vienna:DAAAM International Vienna,2012,23(1): 465- 468.
[5] 张蕾, 韦攀东, 李鹏飞, 等. 三指灵巧手抓取柔软织物运动轨迹规划[J]. 毛纺科技, 2017, 45(4): 44- 49.
ZHANG Lei, WEI Pandong, LI Pengfei, et al. Motion trajectory planning of three-fingered dexterous hand grasping flexible fabric[J]. Wool Textile Journal, 2017, 45(4): 44- 49.(in Chinese)
[6] 沈津竹, 苏军强. 软体机械手逐层分离服装裁片的影响因素[J]. 服装学报, 2021, 6(4): 357-365, 373.
SHEN Jinzhu, SU Junqiang. Influence factors of the soft manipu-lator to separate the garment cutting pieces layer by layer[J]. Journal of Clothing Research, 2021, 6(4): 357-365, 373.(in Chinese)
MAKRIS S, DIETRICH F, KELLENS K, et al. Automated assembly of non-rigid objects[J]. CIRP Annals, 2023, 72(2): 513-539.
[8] LEE A X, GUPTA A, LU H, et al. Learning from multiple demonstrations using trajectory-aware non-rigid registration with applications to deformable object manipulation[C]//2015 IEEE/RSJ International Conference on Intelligent Robots and Systems(IROS).Germany:IEEE, 2015: 5265-5272.
[9] SAADAT M, NAN P. Industrial applications of automatic manipulation of flexible materials[J]. Industrial Robot, 2002, 29(5): 434- 442.
[10] FANTONI G, SANTOCHI M, DINI G, et al. Grasping devices and methods in automated production processes[J]. CIRP Annals, 2014, 63(2): 679-701.
[11] BUCKINGHAM R O, NEWELL G C. Automating the manufacture of composite broadgoods[J]. Composites Part A: Applied Science and Manufacturing, 1996, 27(3): 191-200.
[12] GB/T 4669—2008, 纺织品 机织物 单位长度质量和单位面积质量的测定[S]. 北京:中国标准出版社,2008.
[13] GB/T 4668—1995,机织物密度的测定[S]. 北京:中国标准出版社,1995.
[14] GB/T 3820—1997,纺织品和纺织制品厚度的测定[S]. 北京:中国标准出版社,1997.
[15] GB/T 2543.2—2001,纺织品 纱线捻度的测定 第2部分:退捻加捻法[S]. 北京:中国标准出版社,2001.
[16] 陈娟, 江迎春, 廖莉莉, 等. 基于李克特量表的高校IT外包风险探究[J]. 科技创业月刊, 2019(12):61- 64.
CHEN Juan, JIANG Yingchun, LIAO Lili, et al. Research on IT outsourcing risk in colleges and universities based on likert scale[J]. Journal of Entrepreneurship in Science and Technology, 2019(12):61- 64.(in Chinese)
[17] 陈佳珍, 丁笑君, 邹奉元, 等. 基于多元线性回归与BP神经网络的缝口强力预测[J]. 浙江理工大学学报(自然科学版), 2020, 45(6): 749-756.
CHEN Jiazhen, DING Xiaojun, ZOU Fengyuan, et al. Prediction of seam strength based on multiple linear regression and BP neural network[J]. Journal of Zhejiang Sci-Tech University(Natural Sciences Edition), 2020, 45(6): 749-756.(in Chinese)(责任编辑:张 雪)

相似文献/References:

[1]沈津竹,苏军强*.软体机械手逐层分离服装裁片的影响因素[J].服装学报,2021,6(04):356.
 SHEN Jinzhu,SU Junqiang*.Influence Factors of the Soft Manipulator to Separate the Garment Cutting Pieces Layer by Layer[J].Journal of Clothing Research,2021,6(01):356.

更新日期/Last Update: 2025-02-28