A Novel Sea Cucumber Search and Capture Robot Using Bionic Design Theory

Author(s):  
Lu Chen ◽  
Yun Gao ◽  
Peng Wang
2012 ◽  
Vol 512-515 ◽  
pp. 599-603
Author(s):  
Hai Tang Cen ◽  
Jian Lan Liu

With the power increase of the wind turbine, the scale of the blade is increasing, further improving the performance of the blade, improving the stiffness and stability of the blade, inhibiting the vibration and noise of the blade and reducing the blade weight has become an problem urgently needed to be solved with for the design of the large wind turbine blade. The unique external shape of organisms, the perfect unity of the function, structure and material, the excellent capability for adapting the environment, also provides an inexhaustible inspiration for the bionic design of wind turbine. Applying the biological non-smooth and self-cleaning effect and imitating the biological medial axis pattern structure, self-adaptive characteristics conduct the bionic design of the wind turbine blade, it can effectively realize drag-reduction and lift enhancement for the blades, noise reduction, lightweight, and can improve the self-adaptive ability, resisting wind and sand, preventing icing up. Paying attention to research on biological mechanism, perfecting the bionic design theory, implementing the multidisciplinary design optimization, strengthening the research on model, have an important significance on improving the bionic design effect for the wind turbine blade and promoting the bionic engineering application.


Author(s):  
D. R. Hughes ◽  
F. Piper
Keyword(s):  

2008 ◽  
Vol 12 (3) ◽  
Author(s):  
Maria Jean Puzziferro ◽  
Kaye Shelton

As the demand for online education continues to increase, institutions are faced with developing process models for efficient, high-quality online course development. This paper describes a systems, team-based, approach that centers on an online instructional design theory (Active Mastery Learning) implemented at Colorado State University-Global Campus.


2013 ◽  
Vol 1 (1) ◽  
pp. 158-178
Author(s):  
Urcun John Tanik

Cyberphysical system design automation utilizing knowledge based engineering techniques with globally networked knowledge bases can tremendously improve the design process for emerging systems. Our goal is to develop a comprehensive architectural framework to improve the design process for cyberphysical systems (CPS) and implement a case study with Axiomatic Design Solutions Inc. to develop next generation toolsets utilizing knowledge-based engineering (KBE) systems adapted to multiple domains in the field of CPS design automation. The Cyberphysical System Design Automation Framework (CPSDAF) will be based on advances in CPS design theory based on current research and knowledge collected from global sources automatically via Semantic Web Services. A case study utilizing STEM students is discussed.


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