Extraction and evolution of grader’s bionic morphological feature line using shape structure behavior function model
Keywords:
bionic design, shape-structure-behavior-function, SSBF, biologically inspired design, BID, shape grammars, Quadratic Bézier curvesAbstract
To improve the innovation of agricultural machinery product styling, this paper proposes a shape structure behaviorfunction (SSBF) model suitable for the industrial design field. The feature line evolution method combining shape grammar andgenetic algorithm was used for modelling the of the grader, which not only maintains the product style characteristics but alsoreflects the typical identification characteristics of the bionic prototype and produces a new product modelling scheme. Byconducting cognitive and recognition experiments on product styling features, the ranking of product styling features and thecontribution of each component to product styling were determined. The method of combining shape grammar and quadraticBézier curve was used to express and encode feature lines, and genetic algorithm was used to evolve biomimetic forms to formproduct feature lines with typical biological morphological features; The extracted form bionic elements were integrated intothe grader modelling design, and the interaction evaluation was carried out through the genetic algorithm evolution scheme.The basic form elements were extracted and analyzed, and the deduction rules were formulated and reorganized. The derivedfeature line geometric data considered the product’s image features and the bio-inspired prototype, which can be used for thefollow-up guidance of industrial design schemes. Keywords: bionic design, shape-structure-behavior-function, SSBF, biologically inspired design, BID, shape grammars,Quadratic Bézier curves DOI: 10.25165/j.ijabe.20241702.8345 Citation: Qi B, Lan Y B, Sun X M, Zhu H, Li Y H, Lou K. Extraction and evolution of grader’s bionic morphological featureline using shape structure behavior function model. Int J Agric & Biol Eng, 2024; 17(2): 74–84.References
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[2] Su J, Peng Z, Qiu K, Liu S, Lina W. Product imagery evaluation method based on information entropy and minimum deviation. Mechanical design, 2022; 39(4): 129–134.
[3] Xiong Y, Li Y, Li W, Huo Z, Pu J. Product form design method based on quantification of morphological feature line imagery. Journal of Sichuan University (Engineering Science Edition), 2011; 43(3): 233–238.
[4] Liu A, Teo I, Chen D, Lu S, Wuest T, Zhang Z, Tao F. Biologically inspired design of context-aware smart products. Engineering, 2019; 5(4): 637–645.
[5] Qin W, Jian L, Wei-Jie P, Dan L. Research on cultural and creative product design method based on case. Journal of Engineering Design, 2017; 24(2): 121–133.
[6] Mcdermott J, Machines E. Graph grammars for evolutionary 3D design. Genetic Programming, 2013; 14: 369–393.
[7] Ruiz-Montiel M, Pérez-De-La-Cruz J L, Mandow L, López-Romero F. Fuzzy shape grammars. Progress in Artificial Intelligence, 2016; 5: 47–53.
[8] Knight T, Stiny G. Making grammars: from computing with shapes to computing with things. Design Studies, 2015; 41: 8–28.
[9] Su J, Li X, Wang P, Li X, Qiu K. Research on innovative design of mechanical equipment modeling for brand style. Packaging Engineering, 2019; 40(18): 28–34, 47.
[10] Zhou X, Xue C, Wang H, Zhang J, Fangfang X, Zhang X, Niu Y. Product family design DNA heritable factor extraction. Journal of Southeast University (Natural Science Edition), 2016; 46(6): 1192–1197.
[11] Yang Y, Tian H, Jiao S, Tian X. Image-driven product design based on function-behavior-structure. Mechanical design and manufacturing, 2022(6): 176–179.
[12] Zhang J, Wang G, Zhang Y. Research on the design of electric vehicle form based on preference and shape grammar. Packaging Engineering, 2022; 43(20): 102–111, 78.
[13] Yang Y, Chen D, Yu S-H, Yu M, Qi B. Pan-community product form design based on shape grammar. Computer Integrated Manufacturing System, 2013; 19(9): 2107–2115.
[14] Shu H, Liu J, Zhong Y. A review of computer-aided mechanical product concept design research. Journal of Computer Aided Design and Graphics, 2010; 12: 947–954.
[15] Lu Z, Tang W, Xue C. A DNA inference method for product design based on shape grammar. Journal of Southeast University (Natural Science Edition), 2010; 40(4): 704–11.
[16] Li D, Huang Y. The discomfort model of the micro commercial vehicles interior noise based on the sound quality analyses. Applied Acoustics, 2018; 132: 223–231.
[17] Verhagen T, Hooff B V D, Meents S. Toward a better use of the semantic differential in IS research: An integrative framework of suggested action. Journal of the Association for Information Systems, 2015; 16(2): 1.
[18] Lou S, Feng Y, Li Z, Zheng H, Tan J. An integrated decision-making method for product design scheme evaluation based on cloud model and EEG data. Advanced Engineering Informatics, 2020; 43: 101028.
[19] Knezevic B Z, Blanusa B, Marcetic D P. A synergistic method for vibration suppression of an elevator mechatronic system. Journal of Sound and Vibration, 2017; 406: 29–50.
[20] Zuo W, Wang N, Zhang Z. Imaginative design of Ming-style seat shape based on sensual engineering. Journal of Forestry Engineering, 2023; 8(3): 190–197.
[21] Fiorineschi L, Frillici F S, Rotini F. Enhancing functional decomposition and morphology with TRIZ: Literature review. Computers in Industry, 2018; 94: 1–15.
[22] Lo C-H, Ko Y-C, Hsiao S-W. A study that applies aesthetic theory and genetic algorithms to product form optimization. Advanced Engineering Informatics, 2015; 29(3): 662–679.
[23] Yang Y, Gu R, Gu Y. PAM clustering-based consensus building system for industrial design solution evaluation. Computer Integrated System, 2017; 23(7): 1386–1393.
[24] Feng Y, Lou S, Wang X, Zheng H, Gao Y, Wang Y, Tan J. Research on performance-oriented custom product perceptual imagery evaluation method. Journal of Mechanical Engineering, 2020; 56(9): 181–190.
[25] Hu W, Zhao J. Genetic evolution of car styling driven by user expectation imagery. Journal of Mechanical Engineering, 2011; 47(16): 176–181.
[26] Yang Y, Gong Z, Lan C, Lei Z, Wang X. Industrial design decision network construction and its dynamic evolution simulation. Journal of Zhejiang University (Engineering Edition), 2021; 55(12): 2298–2306.
[27] Guo G, Wen Z, Hao G. Interactive ensemble evolutionary computation based on grey support vector regression machine to predict adaptation values. Control and Decision Making, 2020; 35(2): 309–318.
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Published
2024-05-21
How to Cite
Qi, B., Lan, Y., Sun, X., Zhu, H., Li, Y., & Lou, K. (2024). Extraction and evolution of grader’s bionic morphological feature line using shape structure behavior function model. International Journal of Agricultural and Biological Engineering, 17(2), 74–84. Retrieved from https://ijabe.migration.pkpps03.publicknowledgeproject.org/index.php/ijabe/article/view/8345
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Power and Machinery Systems
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