Bioinspired Design of Hill‐Ridge Architecture‐Based Iontronic Sensor with High Sensibility and Piecewise Linearity

2021 ◽  
pp. 2100510
Author(s):  
Yuxiang Qin ◽  
Xueshuo Zhang ◽  
Anbo Zheng ◽  
Qing Xia
Keyword(s):  
Bioinspired Design ◽  
Piecewise Linearity

scholarly journals Beyond analogy: A model of bioinspiration for creative design

2016 ◽  
Vol 30 (2) ◽  
pp. 159-170 ◽  
Author(s):  
Camila Freitas Salgueiredo ◽  
Armand Hatchuel
Keyword(s):  
Design Process ◽  
Design Theory ◽  
Leading Edge ◽  
Knowledge Bases ◽  
Biologically Inspired ◽  
Concept Knowledge ◽  
Bioinspired Design ◽  
Aerodynamic Properties ◽  
Biologically Inspired Design ◽  
The Impact

AbstractIs biologically inspired design only an analogical transfer from biology to engineering? Actually, nature does not always bring “hands-on” solutions that can be analogically applied in classic engineering. Then, what are the different operations that are involved in the bioinspiration process and what are the conditions allowing this process to produce a bioinspired design? In this paper, we model the whole design process in which bioinspiration is only one element. To build this model, we use a general design theory, concept–knowledge theory, because it allows one to capture analogy as well as all other knowledge changes that lead to the design of a bioinspired solution. We ground this model on well-described examples of biologically inspired designs available in the scientific literature. These examples include Flectofin®, a hingeless flapping mechanism conceived for façade shading, and WhalePower technology, the introduction of bumps on the leading edge of airfoils to improve aerodynamic properties. Our modeling disentangles the analogical aspects of the biologically inspired design process, and highlights the expansions occurring in both knowledge bases, scientific (nonbiological) and biological, as well as the impact of these expansions in the generation of new concepts (concept partitioning). This model also shows that bioinspired design requires a special form of collaboration between engineers and biologists. Contrasting with the classic one-way transfer between biology and engineering that is assumed in the literature, the concept–knowledge framework shows that these collaborations must be “mutually inspirational” because both biological and engineering knowledge expansions are needed to reach a novel solution.

scholarly journals Analysis of period-doubling and chaos of a non-symmetric oscillator with piecewise-linearity

2001 ◽  
Vol 12 (10) ◽  
pp. 1917-1927 ◽  
Author(s):  
Q. Cao ◽  
L. Xu ◽  
K. Djidjeli ◽  
W.G. Price ◽  
E.H. Twizell
Keyword(s):  
Period Doubling ◽  
Piecewise Linearity

Bioinspired design of highly sensitive flexible tactile sensors for wearable healthcare monitoring

2022 ◽  
Vol 23 ◽  
pp. 100718
Author(s):  
J. Chen ◽  
L. Li ◽  
Z. Zhu ◽  
Z. Luo ◽  
W. Tang ◽  
...  
Keyword(s):  
Tactile Sensors ◽  
Bioinspired Design ◽  
Highly Sensitive ◽  
Healthcare Monitoring

Identifying Product Scaling Principles: A Tool for Bioinspired Design and Beyond

2011 ◽  
Author(s):  
Angel G. Perez ◽  
Julie S. Linsey
Keyword(s):  
Scaling Laws ◽  
Initial Step ◽  
Nano Scale ◽  
Bioinspired Design ◽  
Macro Scale ◽  
Design By Analogy ◽  
Global Principles ◽  
Physical Principles

There are countless products that perform the same function but are engineered to suit a different scale. Designers are often faced with the problem of taking a solution at one scale and mapping it to another. This frequently happens with design-by-analogy and bioinspired design. Despite various scaling laws for specific systems, there are no global principles for scaling systems, for example from a biological nano-scale to macro-scale. This is likely one of the reasons bioinspired design is difficult. Very often scaling laws assume the same physical principles are being used, but this study of products indicates that a variety of changes occur as scale changes, including changing the physical principles to meet a particular function. Empirical product research was used to determine a set of principles by observing and understanding numerous products to unearth new generalizations. The function a product performs is examined in various scales to view subtle and blatant differences. Principles are then determined. This study provides an initial step in creating new innovative designs based on existing solutions in nature or other products that occur at very different scales. Much further work is needed by studying additional products and bioinspired examples.

scholarly journals Bioinspired design of a landing system with soft shock absorbers for autonomous aerial robots

2018 ◽  
Vol 36 (1) ◽  
pp. 230-251 ◽  
Author(s):  
Ketao Zhang ◽  
Pisak Chermprayong ◽  
Dimos Tzoumanikas ◽  
Wenbin Li ◽  
Marius Grimm ◽  
...  
Keyword(s):  
Aerial Robots ◽  
Bioinspired Design ◽  
Shock Absorbers

Bioinspired design of dental multilayers

2007 ◽  
Vol 464 (1-2) ◽  
pp. 315-320 ◽  
Author(s):  
M. Huang ◽  
N. Rahbar ◽  
R. Wang ◽  
V. Thompson ◽  
D. Rekow ◽  
...  
Keyword(s):  
Bioinspired Design

Exploring Automated Text Classification to Improve Keyword Corpus Search Results for Bioinspired Design

2014 ◽  
Vol 136 (11) ◽  
Author(s):  
Michael W. Glier ◽  
Daniel A. McAdams ◽  
Julie S. Linsey
Keyword(s):  
Text Mining ◽  
Text Classification ◽  
Keyword Search ◽  
Idea Generation ◽  
Support Vector ◽  
Biological Knowledge ◽  
Svm Classifier ◽  
Search Results ◽  
Bioinspired Design ◽  
Mining Algorithms

Bioinspired design is the adaptation of methods, strategies, or principles found in nature to solve engineering problems. One formalized approach to bioinspired solution seeking is the abstraction of the engineering problem into a functional need and then seeking solutions to this function using a keyword type search method on text based biological knowledge. These function keyword search approaches have shown potential for success, but as with many text based search methods, they produce a large number of results, many of little relevance to the problem in question. In this paper, we develop a method to train a computer to identify text passages more likely to suggest a solution to a human designer. The work presented examines the possibility of filtering biological keyword search results by using text mining algorithms to automatically identify which results are likely to be useful to a designer. The text mining algorithms are trained on a pair of surveys administered to human subjects to empirically identify a large number of sentences that are, or are not, helpful for idea generation. We develop and evaluate three text classification algorithms, namely, a Naïve Bayes (NB) classifier, a k nearest neighbors (kNN) classifier, and a support vector machine (SVM) classifier. Of these methods, the NB classifier generally had the best performance. Based on the analysis of 60 word stems, a NB classifier's precision is 0.87, recall is 0.52, and F score is 0.65. We find that word stem features that describe a physical action or process are correlated with helpful sentences. Similarly, we find biological jargon feature words are correlated with unhelpful sentences.

scholarly journals Bioinspired Design of Vascular Artificial Muscle

2018 ◽  
Vol 4 (1) ◽  
pp. 1800244 ◽  
Author(s):  
Qiguang He ◽  
Zhijian Wang ◽  
Zhaoqiang Song ◽  
Shengqiang Cai
Keyword(s):  
Artificial Muscle ◽  
Bioinspired Design
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