Research on parameterized modeling and generation of Chinese chainmail pattern

The Chinese chainmail pattern has a rich historical lineage, constituting a mathematically precise and aesthetically ordered geometric manifestation originating from ancient chainmail armor. It stands as an exemplar among the traditional Chinese patterns. However, contemporary research on the Chinese chainmail pattern confronts challenges associated with its insufficient cultural connotation, deficient parameter expression methods, and a notable absence of modern design transformation and innovation. In the era of booming digitization and the Internet, the integration of computer technology into the inventive redesign of geometric traditional patterns, with the Chinese chainmail pattern being a striking example, has the potential to breathe life into these ancient patterns within the framework of modern design. This not only revitalizes traditional patterns but also makes them more prolific and easy to communication and application. This article positions the developmental trajectory of the Chinese chainmail pattern as its inception point. By methodically enhancing its reconstruction and iterating digitally using parametric techniques, this study attempts to amalgamate the traditional Chinese chainmail pattern with contemporary design paradigms. This amalgamation is subsequently applied to the field of modern product design, thus offering novel perspectives and innovative approaches for the transformation of modern design.

Authors

Institutions

Publication Details

Published
2024-10-09
DOI
https://doi.org/10.1117/12.3045209
Primary Topic
Optimization and Packing Problems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on parameterized modeling and generation of Chinese chainmail pattern

Siyuan Zhu, Lei Qian, Pengsong Zhang, Shunyao Sun
Optimization and Packing Problems
article

Research on parameterized modeling and generation of Chinese chainmail pattern

Siyuan Zhu, Lei Qian, Pengsong Zhang, Shunyao Sun
article en

Abstract

The Chinese chainmail pattern has a rich historical lineage, constituting a mathematically precise and aesthetically ordered geometric manifestation originating from ancient chainmail armor. It stands as an exemplar among the traditional Chinese patterns. However, contemporary research on the Chinese chainmail pattern confronts challenges associated with its insufficient cultural connotation, deficient parameter expression methods, and a notable absence of modern design transformation and innovation. In the era of booming digitization and the Internet, the integration of computer technology into the inventive redesign of geometric traditional patterns, with the Chinese chainmail pattern being a striking example, has the potential to breathe life into these ancient patterns within the framework of modern design. This not only revitalizes traditional patterns but also makes them more prolific and easy to communication and application. This article positions the developmental trajectory of the Chinese chainmail pattern as its inception point. By methodically enhancing its reconstruction and iterating digitally using parametric techniques, this study attempts to amalgamate the traditional Chinese chainmail pattern with contemporary design paradigms. This amalgamation is subsequently applied to the field of modern product design, thus offering novel perspectives and innovative approaches for the transformation of modern design.

Hunan Normal University (CN)
Openalex Percentile: Top 75%
Optimization and Packing Problems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.