Accuracy and comfort analysis of digital shoe design
AUTHORS
He Tao,Fashion design department, Wenzhou Vocational & Technical College, Wenzhou 325035
Sun Tianshe,Oujiang college of Wenzhou University, Wenzhou 325035
Shi Kai,
ABSTRACT
In this paper, we select the typical female bridge of the nose bridge as the experimental object, and discuss the dimensional accuracy of the digital shoe design of Delcam Crispin Engineer through the actual plate making operation. The experimental results show that, compared with the manual standard version, the DCE is slightly smaller than the standard version, the average difference between the parts is not obvious, the average size accuracy is 94.3%~98.7%, in addition to the individual version, Are in the footwear design error within the allowable range. In the application and research of many computer shoe-making software, the research on the accuracy of digital shoe design pattern has not been reported yet. To this end, this paper uses the leading shoe-like development technology Delcam Crisp in Engineer design software to the rocker on the representative of the bridge of the nose women's boots (4 inches) as the experimental object, through specific experimental operation and Coreldraw software version Dimensional measurement, compare DCE version and hand-made version of the size difference, analysis DCE software digital plate-making accuracy, to explore the shoe-like design CAD system in the shoe industry practicality.
KEYWORDS
Coordinate measuring machine; digital design; handmade plate; shoe design; precision
REFERENCES
[1] Shu L, Hua T, Wang Y, et al. In-shoe plantar pressure measurement and analysis system based on fabric pressure sensing array[J]. IEEE Transactions on information technology in biomedicine, (2010), 14(3): 767-775.
[2] Au E Y L, Goonetilleke R S. A qualitative study on the comfort and fit of ladies’ dress shoes[J]. Applied Ergonomics, (2007), 38(6): 687-696.
[3] Kyung G, Nussbaum M A. Specifying comfortable driving postures for ergonomic design and evaluation of the driver workspace using digital human models[J]. Ergonomics, (2009), 52(8): 939-953.
[4] Rupérez M J, Monserrat C, Alemany S, et al. Contact model, fit process and, foot animation for the virtual simulator of the footwear comfort[J]. Computer-Aided Design, (2010), 42(5): 425-431.
[5] Abdul Razak A H, Zayegh A, Begg R K, et al. Foot plantar pressure measurement system: a review[J]. Sensors, (2012), 12(7): 9884-9912.
[6] Bamberg S J M, Benbasat A Y, Scarborough D M, et al. Gait analysis using a shoe-integrated wireless sensor system[J]. IEEE transactions on information technology in biomedicine, (2008), 12(4): 413-423.
[7] Nácher B, Alemany S, González J C, et al. A footwear fit classification model based on anthropometric data[R]. SAE Technical Paper, (2006).
[8] Tang Y M, Hui K C. Human foot modeling towards footwear design[J]. Computer-Aided Design, (2011), 43(12): 1841-1848.
[9] Liu T, Inoue Y, Shibata K, et al. Development of wearable sensor combinations for human lower extremity motion analysis[C]//Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006. IEEE, (2006): 1655-1660.
[10] Liu T, Inoue Y, Shibata K, et al. A wearable inertial sensor system for human motion analysis[C]//2005 International Symposium on Computational Intelligence in Robotics and Automation. IEEE, (2005): 409-413.
[11] Ratzlaff M H, Grant B D, Frame J M. Systems for measurement and analysis of forces exerted during human locomotion: U.S. Patent 4,814,661[P]. (1989).
[12] Menz H B, Auhl M, Ristevski S, et al. Evaluation of the accuracy of shoe fitting in older people using three-dimensional foot scanning[J]. Journal of foot and ankle research, (2014), 7(1): 1.