author_facet Zhuang, Meiling
Zhang, Xiaofeng
Zhuang, Meiling
Zhang, Xiaofeng
author Zhuang, Meiling
Zhang, Xiaofeng
spellingShingle Zhuang, Meiling
Zhang, Xiaofeng
International Journal of Clothing Science and Technology
A novel apparel surface flattening algorithm
Polymers and Plastics
General Business, Management and Accounting
Materials Science (miscellaneous)
Business, Management and Accounting (miscellaneous)
author_sort zhuang, meiling
spelling Zhuang, Meiling Zhang, Xiaofeng 0955-6222 Emerald Polymers and Plastics General Business, Management and Accounting Materials Science (miscellaneous) Business, Management and Accounting (miscellaneous) http://dx.doi.org/10.1108/09556221311326329 <jats:sec><jats:title content-type="abstract-heading">Purpose</jats:title><jats:p>In the trend of individuation and customization, more rapid and flexible clothing pattern production systems are required. Many studies about the system have been done into producing paper pattern automatically for sewing. The purpose of this paper is to propose a novel three‐dimensional intelligent pattern‐making algorithm.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-heading">Design/methodology/approach</jats:title><jats:p>Body features are referenced for crack designing, the concept of functional dividing is proposed on the triangled upper body surface based on Gauss Curvature. A new surface flattening algorithm based on body features (SFABF) is put forward. Robert Hooke Law and Young's modulus are referenced for energy model (EMRY) setting up to define and calculate the edge length variation of triangle. Basing on EMRY, another optimizing surface flattening algorithm (OSFA) is designed to optimize SFABF so as to minimize the accumulated energy.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-heading">Findings</jats:title><jats:p>Shape variation accumulation of flattened pattern can be reduced a lot when the cracks are distributed along functional dividing lines. The points with the largest Gauss Curvature as Bust Point have played a great role in shape variation reduction. Because of textiles' flexibility shape variation need not be reduced to zero. Comparing with the related methods this research is more practical.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-heading">Originality/value</jats:title><jats:p>To this study, SFABF and OSFA are novel methods to improve practicality. The proposed concept of functional dividing is value to the shape variation reduction from surface flattening.</jats:p></jats:sec> A novel apparel surface flattening algorithm International Journal of Clothing Science and Technology
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title A novel apparel surface flattening algorithm
title_unstemmed A novel apparel surface flattening algorithm
title_full A novel apparel surface flattening algorithm
title_fullStr A novel apparel surface flattening algorithm
title_full_unstemmed A novel apparel surface flattening algorithm
title_short A novel apparel surface flattening algorithm
title_sort a novel apparel surface flattening algorithm
topic Polymers and Plastics
General Business, Management and Accounting
Materials Science (miscellaneous)
Business, Management and Accounting (miscellaneous)
url http://dx.doi.org/10.1108/09556221311326329
publishDate 2013
physical 300-316
description <jats:sec><jats:title content-type="abstract-heading">Purpose</jats:title><jats:p>In the trend of individuation and customization, more rapid and flexible clothing pattern production systems are required. Many studies about the system have been done into producing paper pattern automatically for sewing. The purpose of this paper is to propose a novel three‐dimensional intelligent pattern‐making algorithm.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-heading">Design/methodology/approach</jats:title><jats:p>Body features are referenced for crack designing, the concept of functional dividing is proposed on the triangled upper body surface based on Gauss Curvature. A new surface flattening algorithm based on body features (SFABF) is put forward. Robert Hooke Law and Young's modulus are referenced for energy model (EMRY) setting up to define and calculate the edge length variation of triangle. Basing on EMRY, another optimizing surface flattening algorithm (OSFA) is designed to optimize SFABF so as to minimize the accumulated energy.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-heading">Findings</jats:title><jats:p>Shape variation accumulation of flattened pattern can be reduced a lot when the cracks are distributed along functional dividing lines. The points with the largest Gauss Curvature as Bust Point have played a great role in shape variation reduction. Because of textiles' flexibility shape variation need not be reduced to zero. Comparing with the related methods this research is more practical.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-heading">Originality/value</jats:title><jats:p>To this study, SFABF and OSFA are novel methods to improve practicality. The proposed concept of functional dividing is value to the shape variation reduction from surface flattening.</jats:p></jats:sec>
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author Zhuang, Meiling, Zhang, Xiaofeng
author_facet Zhuang, Meiling, Zhang, Xiaofeng, Zhuang, Meiling, Zhang, Xiaofeng
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container_issue 4
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description <jats:sec><jats:title content-type="abstract-heading">Purpose</jats:title><jats:p>In the trend of individuation and customization, more rapid and flexible clothing pattern production systems are required. Many studies about the system have been done into producing paper pattern automatically for sewing. The purpose of this paper is to propose a novel three‐dimensional intelligent pattern‐making algorithm.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-heading">Design/methodology/approach</jats:title><jats:p>Body features are referenced for crack designing, the concept of functional dividing is proposed on the triangled upper body surface based on Gauss Curvature. A new surface flattening algorithm based on body features (SFABF) is put forward. Robert Hooke Law and Young's modulus are referenced for energy model (EMRY) setting up to define and calculate the edge length variation of triangle. Basing on EMRY, another optimizing surface flattening algorithm (OSFA) is designed to optimize SFABF so as to minimize the accumulated energy.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-heading">Findings</jats:title><jats:p>Shape variation accumulation of flattened pattern can be reduced a lot when the cracks are distributed along functional dividing lines. The points with the largest Gauss Curvature as Bust Point have played a great role in shape variation reduction. Because of textiles' flexibility shape variation need not be reduced to zero. Comparing with the related methods this research is more practical.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-heading">Originality/value</jats:title><jats:p>To this study, SFABF and OSFA are novel methods to improve practicality. The proposed concept of functional dividing is value to the shape variation reduction from surface flattening.</jats:p></jats:sec>
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spelling Zhuang, Meiling Zhang, Xiaofeng 0955-6222 Emerald Polymers and Plastics General Business, Management and Accounting Materials Science (miscellaneous) Business, Management and Accounting (miscellaneous) http://dx.doi.org/10.1108/09556221311326329 <jats:sec><jats:title content-type="abstract-heading">Purpose</jats:title><jats:p>In the trend of individuation and customization, more rapid and flexible clothing pattern production systems are required. Many studies about the system have been done into producing paper pattern automatically for sewing. The purpose of this paper is to propose a novel three‐dimensional intelligent pattern‐making algorithm.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-heading">Design/methodology/approach</jats:title><jats:p>Body features are referenced for crack designing, the concept of functional dividing is proposed on the triangled upper body surface based on Gauss Curvature. A new surface flattening algorithm based on body features (SFABF) is put forward. Robert Hooke Law and Young's modulus are referenced for energy model (EMRY) setting up to define and calculate the edge length variation of triangle. Basing on EMRY, another optimizing surface flattening algorithm (OSFA) is designed to optimize SFABF so as to minimize the accumulated energy.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-heading">Findings</jats:title><jats:p>Shape variation accumulation of flattened pattern can be reduced a lot when the cracks are distributed along functional dividing lines. The points with the largest Gauss Curvature as Bust Point have played a great role in shape variation reduction. Because of textiles' flexibility shape variation need not be reduced to zero. Comparing with the related methods this research is more practical.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-heading">Originality/value</jats:title><jats:p>To this study, SFABF and OSFA are novel methods to improve practicality. The proposed concept of functional dividing is value to the shape variation reduction from surface flattening.</jats:p></jats:sec> A novel apparel surface flattening algorithm International Journal of Clothing Science and Technology
spellingShingle Zhuang, Meiling, Zhang, Xiaofeng, International Journal of Clothing Science and Technology, A novel apparel surface flattening algorithm, Polymers and Plastics, General Business, Management and Accounting, Materials Science (miscellaneous), Business, Management and Accounting (miscellaneous)
title A novel apparel surface flattening algorithm
title_full A novel apparel surface flattening algorithm
title_fullStr A novel apparel surface flattening algorithm
title_full_unstemmed A novel apparel surface flattening algorithm
title_short A novel apparel surface flattening algorithm
title_sort a novel apparel surface flattening algorithm
title_unstemmed A novel apparel surface flattening algorithm
topic Polymers and Plastics, General Business, Management and Accounting, Materials Science (miscellaneous), Business, Management and Accounting (miscellaneous)
url http://dx.doi.org/10.1108/09556221311326329