| 研究生: |
林建宇 Lin, Chien-Yu |
|---|---|
| 論文名稱: |
特徵曲線解構與結構方法及在產品設計上的應用研究 An Application and Research of Decomposition and Composition of Feature Curve |
| 指導教授: |
蕭世文
Hsiao, Shih-Wen |
| 學位類別: |
碩士 Master |
| 系所名稱: |
規劃與設計學院 - 工業設計學系 Department of Industrial Design |
| 論文出版年: | 2014 |
| 畢業學年度: | 102 |
| 語文別: | 英文 |
| 論文頁數: | 82 |
| 中文關鍵詞: | 特徵值 、家族特徵 、產品族 、灰預測 |
| 外文關鍵詞: | feature value, visual references of brand, product family, grey prediction |
| 相關次數: | 點閱:109 下載:2 |
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在汽車生產技術逐漸成熟的今日,產品性能表現已經不再是消費者進行選購的唯一準則,隨著消費者對於品牌意識的抬頭,品牌家族特徵與產品族在產品銷售所扮演的角色愈來愈重要。如何在保留有家族特徵的情況下產生多元的造形發展是目前許多汽車設計工作者目前所思考的問題點也是未來汽車外形設計的新方向。本研究透過應用特徵值與特徵曲線於產品造形參數化的應用,以無因次化的模式解構與定義產品家族特徵並基於此模式進行正向的創新設計,藉此協助汽車設計工作者可以藉由此流程架構達成發展多樣化產品族之目的。本研究將分為三部分,第一部分為特徵曲線應用平台的建立,第二部分灰預測的建立,則第三部分為3D造形建立流程。 在第一部分使用2D特徵解構理論以無因次化方式將特徵予以拆解分類,並且建立造形特徵的參數化資料庫。基於已建立的特徵參數資料庫,以灰色理論預測新造形並以JAVA程式語言撰寫設計平台以進行更深入家族特徵的造形摻合研究,並藉此產生多元化的造形。在3D造形建立流程,主要應用特徵斷面與網格細分重建造形,最後並將3D造形與2D特徵研究結果作一結合,試圖以更客觀方式呈現汽車的造形研究。如此一來特徵曲線解構結構方法及在產品設計上的應用研究即可建立完成,藉由此研究流程可望解決保留品牌家族特徵且應用特徵延伸產品族多樣化設計之研究目標。
Nowadays technology of vehicle manufacturing has become mature, the performance of functionality is not the only concern for customers when purchasing. With enhancement of brand awareness, visual reference of brand and product family have played important roles gradually. How to remain visual reference and develop various forms is the current issue for vehicle design workers, and this is the new direction for exterior design of vehicle. The study is based on application of feature value, feature curve and normalized parameterization of product form, and aim to define and decompose visual references and features of brand in order to develop innovative design. Through this design process, vehicle design workers can achieve the goal of forming various product family.
There are three parts in this study, the first part is construction of application for feature curve, the second part is about construction of grey prediction, and the last part is construction of 3D form. The theory for 2D feature decomposition is applied to first part, the feature of visual reference can be decomposed and define with normalization, and a database for feature of visual references can then be established. Based on the established database of parameterized feature, grey prediction model is applied to predict new forms, and JAVA programming language is utilized to construct a design platform that allows the operation of blending for features. In the process of 3D form constructing, feature profile and mesh subdivision is mainly applied to construct 3D form. The research result of 2D feature and 3D form are integrated, this aims to present research of vehicle form in an objective way. Thus study and application of decomposition of feature curve on vehicle design can be reached, the researching goal for remaining brand feature of visual references and developing a plenty of product family based on brand feature can be established through this study.
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