Journal of Textile Research ›› 2025, Vol. 46 ›› Issue (07): 193-201.doi: 10.13475/j.fzxb.20240805001

• Apparel Engineering • Previous Articles     Next Articles

Parameterized pattern generation of women's jumpsuit based on three-dimensional virtual model transformation

CHEN Xiaozhen1, WU Ying1,2(), YANG Ye1, LU Lihao1   

  1. 1 School of Fashion Design & Engineering, Zhejiang Sci-Tech University, Hangzhou, Zhejiang 310018, China
    2 Zhejiang Silk and Fashion Culture Research Center, Zhejiang Sci-Tech University, Hangzhou, Zhejiang 310018, China
  • Received:2024-08-27 Revised:2025-04-10 Online:2025-07-15 Published:2025-08-14
  • Contact: WU Ying E-mail:ying012688@zstu.edu.cn

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Abstract:

Objective With the rapid advancement of digital technology, the technology of automatic garment pattern generation is facing more tests and challenges. The method of two-dimensional parameter drawing is more accurate, more stable and less computational, but the operation process is lack of intuitive visualization, and the degree of integration of three-dimensional concepts is not enough, so it is difficult to achieve the effect of high fit for garment with high degree of fitting. Aiming at the problems such as misfit and poor fit, a method is put forward to automatically generate the pattern of fit trousers.

Method Focusing on women's jumpsuits, a method is established for the automatic generation of conjoined trouser patterns using the parameter constraint function of AutoCAD alongside three-dimensional design principles. Firstly, a three-dimensional human model is captured using a 3-D scanner, which is then transformed into an adjustable personalized virtual model using CLO3D. Subsequently, a parameterized constraint structure model of the jumpsuit is developed through AutoCAD's parameterization functions, enabling the rapid generation of customized one-piece trouser templates suitable for various body sizes.

Results CLO3D virtual modeling software is utilized to perform virtual stitching on garment patterns generated from three parametric structural models of jumpsuits. A comprehensive analysis was conducted, focusing on both the virtual aesthetic appearance and the pressure simulation during fitting to evaluate the comfort of the three groups of parametric samples. The results from the virtual fittings indicated that the personalized jumpsuits exhibited an appropriate level of looseness, with a smooth surface and no slack. The garment pressure maps showed that during standing, walking, and significant arm and leg movements, the pressure on all virtual garments remained between 0 kPa and 16 kPa, except in minor areas such as the knees and hips, where the garment experienced some pulling. When the model's arms and legs were raised, the pressure exerted by the garment on the human body at the measurement points for the three groups of personalized jumpsuits was generally below 5 kPa, which meets comfort requirements for human pressure distribution. Subsequently, the patterns generated based on the established parameters were produced in accordance with garment construction standards, followed by actual virtual fittings that allowed users to provide subjective feedback regarding their wearing experience. The results indicated that the ratings for all three samples were concentrated between 3.5 and 4.7, reflecting a positive try-on experience. However, the jumpsuit patterns generated using personalized parameters were found to be better aligned with user needs and preferences, resulting in a greater perception of comfort during wear. In conclusion, the parametric pattern generation method grounded in three-dimensional concepts effectively addresses fit and provides a refined solution for the complexities of garment fitting.

Conclusion The proposed automatic generation method for jumpsuit patterns effectively derives basic patterns from the surfaces of personalized virtual molds, fulfilling the demands for pattern visualization and customization. By adjusting user parameters, jumpsuit patterns with varying degrees of looseness can be generated automatically in accordance with specific constraints. The results demonstrate accuracy and efficacy in pattern generation. Unlike convenitional parametric programming, this approach enhances interactivity and simplicity, serving as a reference for developing parametric templates for a broader range of garment styles.

Key words: garment pattern automatic generation technology, virtual model, garment pattern making, jumpsuits, AutoCAD parameterization

CLC Number: 

  • TS941.2

Fig.1

Schematic diagram for parameterization method of pattern generation for jumpsuits"

Fig.2

Scanned 3-D mannequin establishment and feature analysis. (a) Dignitized human body; (b) Feature curves"

Tab.1

Comparison of key body dimensions"

关键部位 尺寸/cm
数字化人体(转换前) 个性化人体(转换后)
背长 38.42 38.77
肩宽 39.02 38.22
胸围 88.51 88.46
腰围 69.53 70.96
臀围 96.88 96.69
膝围 33.23 33.04
脚踝围 21.25 21.21
立裆长 20.45 21.08
大腿根围 53.91 55.07

Fig.3

Personalized model generation process. (a) Scanned 3-D human body; (b) CLO3D virtual model; (c) Aligned scaned human body; (d) Personalized model"

Fig.4

Generation of basic patterns for personalized jumpsuits"

Fig.5

Schematic diagram of jumpsuit pattern curve arc planning"

Fig.6

Comparison of arc fitting effect between double arc (a) and three arc (b)"

Fig.7

Sketch of double arc (a) and three arc (b)"

Fig.8

Sketch of double arc drawing method. (a) Inner point method; (b) Average chord length method; (c) Average angle method"

Fig.9

Parameterized constraint diagram of jumpsuit"

Tab.2

Length constraints of parametric structure model for jumpsuit"

参数类型 参数符号 含义 表达式 参考值 约束指令
尺寸
约束
参数		 N1N2 后领宽 B/12+1.10 8.48 cm 水平
N1N6 后领深 N1N2-2.00 6.47 cm 竖直
N1N7 背宽线位置 N1N6+4.55 11.01 cm 竖直
N7N8 后背宽 B/6-2.00 12.75 cm 水平
N1${{N}_{1}}_{1}$ 后胸围线位置 B/6+7.96 22.71 cm 竖直
N9N11 后胸围宽 B/4-2.24 19.89 cm 水平
N1${{N}_{1}}_{3}$ 腰围线位置 L+1.77 40.15 cm 竖直
${{N}_{1}}_{3}$N16 后腰围宽 W/4-1.89 20.24 cm 水平
N16N17 臀围线位置 C+2 22.40 cm 竖直
N17N19 后臀围宽 H/4-0.92 23.32 cm 水平
N16${{N}_{2}}_{4}$ 后横档线位置 1.5N16N17-1.11 32.49 cm 竖直
${{N}_{2}}_{0}$N24 后横档宽 17/12N17N19-0.77 32.27 cm 水平
${{N}_{2}}_{4}{{N}_{3}}_{4}$ 下裆长 0.55h-N16${{N}_{2}}_{4}$ 60.44 cm 竖直
${{N}_{2}}_{4}$N25 中裆线位置 (${{N}_{2}}_{4}{{N}_{3}}_{4}$/2)-5 25.22 cm 竖直
∠N3N2N4 后肩斜线角度 16.72 16.72° 角度
N2N4 后肩斜线长 (N7N8-N1N2)/cos∠N3N2N4+1.1 5.44 cm 对齐
N3N8 后袖笼弧切线 N1${{N}_{1}}_{1}$-N1N6 16.24 cm 竖直
M1M2 前领宽 B/7-0.35 12.29 cm 水平
M1M5 前领深 B/6+1.61 16.36 cm 竖直
M8M9 BP点关键位置1 3.50 3.50 cm 竖直
M9${{M}_{1}}_{0}$ BP点关键位置2 B/12+1.25 8.63 cm 水平
M9${{M}_{1}}_{1}$ 腋下省关键位置1 M6M8-0.4 23.98 cm 水平
${{M}_{1}}_{1}{{M}_{1}}_{2}$ 腋下省大 2.73 2.73 cm 对齐
M1M8 胸围线位置 B/6+6.56 21.31 cm 竖直
M6M8 前胸围宽 B/4+2.25 24.38 cm 水平
M1${{M}_{1}}_{6}$ 腰围线位置 L+0.34 38.74 cm 竖直
M14M16 前腰围宽 W/4+2.44 19.81 cm 水平
${{M}_{1}}_{3}$M19 臀围线位置 C+1.55 21.95 cm 竖直
${{M}_{1}}_{7}$M19 前臀围宽 H/4+0.94 25.18 cm 水平
${{M}_{1}}_{3}{{M}_{2}}_{0}$ 前横裆线位置 1.5${{M}_{1}}_{3}$M19-1.52 31.41 cm 竖直
${{M}_{2}}_{0}$M22 前横裆宽 5/4${{M}_{1}}_{7}$M19-2.35 29.13 cm 水平
${{M}_{2}}_{0}$M28 下裆长 0.55h-M13M20+1.49 61.49 cm 竖直
${{M}_{2}}_{0}{{M}_{2}}_{7}$ 中裆线位置 M20M28/2-4.46 26.29 cm 竖直
∠M2M3M33 前肩斜线角度 25.20 25.20° 角度
M2M33 前肩斜线长度 5.42 5.42 cm 对齐
用户
参数		 B 胸围 88.52 cm 实时
S 肩宽 39.00 cm 实时
W 腰围 69.50 cm 实时
H 臀围 96.96 cm 实时
h 身高 166.20 cm 实时
L 背长 38.40 cm 实时
C 立裆长 20.40 cm 实时

Fig.10

Geometric constraint diagram of jumpsuit"

Tab.3

Personalized size adjustment and fitting parameters cm"

参数 胸围 腰围 臀围 背长 肩宽 立裆长 身高
原始参数 88.52 69.50 96.96 38.40 39.00 20.40 166.20
个性化参数1 92.00 72.00 100.0 39.00 39.00 20.40 166.20
个性化参数2 96.00 74.00 104.00 39.00 39.00 21.40 168.00
个性化参数3 106.00 76.00 108.00 39.50 39.00 21.40 168.00

Fig.11

Personalized jumpsuit patterns"

Fig.12

Appearance effect of virtual fitting. (a) Personalized parameter 1; (b) Personalized parameter 2; (c) Personalized parameter 3"

Fig.13

Virtual garment pressure distribution maps. (a) Walking posture; (b) Arms and legs raising posture"

Fig.14

Pressure measurement point locations"

Fig.15

Pressure values at measuring points"

Fig.16

Wearing effect of personalized jumpsuit patterns"

Tab.4

Sample clothing evaluation index 单位:分"

姿势 个性化参数1 个性化参数2 个性化参数3
肩部 腰部 臀部 肩部 腰部 臀部 肩部 腰部 臀部
站立 4.6 4.5 4.3 4.5 4.4 4.6 4.6 4.3 4.7
走动 4.2 4.1 4.4 4.3 4.3 4.2 4.2 4.5 4.4
抬臂抬腿 3.8 3.9 3.9 4.0 3.8 3.8 4.1 4.0 4.2
下蹲 3.3 3.2 2.8 3.4 3.3 3.2 3.6 3.5 3.4
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