دانلود رایگان مقاله تغییر شکل پارامتری و کاربردی در طرح بیومیمتیک مورفولوژیکی

عنوان فارسی
تغییر شکل پارامتری و کاربردی در طرح بیومیمتیک مورفولوژیکی
عنوان انگلیسی
Parametric shape modification and application in a morphological biomimetic design
صفحات مقاله فارسی
0
صفحات مقاله انگلیسی
11
سال انتشار
2014
نشریه
الزویر - Elsevier
فرمت مقاله انگلیسی
PDF
کد محصول
E90
رشته های مرتبط با این مقاله
مهندسی پزشکی
گرایش های مرتبط با این مقاله
مهندسی پزشکی بالینی
مجله
مهندسی انفورماتیک پیشرفته
دانشگاه
دانشکده فناوری فرهنگ، دائجون، جمهوری کره
کلمات کلیدی
علم تقلید حیاتی، مدل سازی پارامتریک، تغییر شکل، مورفومتریک
چکیده

Abstract


Biomimetic design performed to develop a solution-shape has been offered as a successful approach for overcoming the limitations of typical design methods. Especially for the nose-shape of high-speed trains, the morphological characteristics of a superior bio-model were used in the design process. However, current design methods using the biomimetic approach, particularly in the morphological domain, do not support a technique to evaluate how close the new solution is to the optimal one; nor do they support alternative methodologies used to validate and verify the solution-shape being developed. Solution optimization in a biomimetic design means not only preserving the original shape of a bio-model but also validating and verifying it. Shape optimization for a design problem should accompany shape evaluation and modification conducted according to criteria involving both evolutionary traits and technological constraints. In this research we suggest a method to verify the original shape, and to validate the solution, using theoretical backgrounds from both systematic biology and evolutionary biology. In this paper, the morphological characteristics of a bio-model are verified and modified using a quantitative method. To validate the solution developed, new criteria are applied for high-speed-train design.

نتیجه گیری

5. Conclusions


The efforts for biomimetic design have been focused on delivering morphological advantages, by direct mimicry of the chosen bio-model shape, to a design object. However existing design cases based on the biomimetic approach imply that direct mimicry is not the best way to achieve an optimal solution. In this research, the weaknesses in verification and validation of the chosen shape are specified. Unless these weaknesses are surmounted, the concept of optimal design using the biomimetic approach is inexplicit. Computational methods might provide a solution for the issues of shape verification and validation. Specifically, application of parametric shape modification is proposed to accomplish the research goal. From the methodological point of view, the biomimetic-design approach is noteworthy because it guides designers to solve a design problem by applying evolutionary procedures (adaptation) or by including evolutionary input during the design process as design knowledge. Thus the systematic methods (parametric shape modification and application) should be informed by evolutionary knowledge. More specifically, the shape parameters that we defined should provide the evolutionary background of a species. The methodology of morphometrics was created to quantitatively compare the morphological traits diversified through evolutionary processes. This methodology is applicable for the quantitative comparison of shapes, especially for comparison of atypical shapes, because most of the morphological traits of species are atypical. In this research, the shape parameters defined using morphometrics were used for shape modification and application. In addition to the use of morphometric methodology, was the use of landmarks to parameterize the bio-model. Using a Box- fish bio-model, known to be a low-resistance shape, the front (nose) of a high-speed train was designed. The applied landmarks (parameters) were drawn from the background research conducted to examine the aerodynamic properties of these Boxfish shapes: nose, eye-ridge, and hydrodynamic pitch angle. Even though this design case could not deal with other bio-models, the landmark adaptation process addresses the need for a methodology to parameterize models.


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