Biologically Inspired Design: A Macrocognitive Account

2010 ◽  
Author(s):  
Swaroop S. Vattam ◽  
Michael Helms ◽  
Ashok K. Goel
Keyword(s):  
Biological Sciences ◽  
Information Processing ◽  
Engineering Design ◽  
Design Patterns ◽  
Information Processing Model ◽  
Biologically Inspired ◽  
Design Problems ◽  
Engineering Design Problems ◽  
Other Information ◽  
Biologically Inspired Design

Biologically inspired engineering design is an approach to design that espouses the adaptation of functions and mechanisms in biological sciences to solve engineering design problems. We have conducted an in situ study of designers engaged in biologically inspired design. Based on this study we develop here a macrocognitive information-processing model of biologically inspired design. We also compare and contrast the model with other information-processing models of analogical design such as TRIZ, case-based design, and design patterns.

scholarly journals Analyzing Engineering Design through the Lens of Computation

2014 ◽  
Vol 1 (2) ◽  
pp. 151-186 ◽  
Author(s):  
Paulo Blikstein
Keyword(s):  
Education Research ◽  
Engineering Design ◽  
Learning Analytics ◽  
Design Patterns ◽  
Educational Data Mining ◽  
Digital Fabrication ◽  
Video Data ◽  
Human Cognition ◽  
Maker Movement ◽  
K 12

Learning analytics and educational data mining are introducing a number of new techniques and frameworks for studying learning. The scalability and complexity of these novel techniques has afforded new ways for enacting education research and has helped scholars gain new insights into human cognition and learning. Nonetheless, there remain some domains for which pure computational analysis is currently infeasible. One such area, which is particularly important today, is open-ended, hands-on, engineering design tasks. These open-ended tasks are becoming increasingly prevalent in both K–12 and post-secondary learning institutions, as educators are adopting this approach in order to teach students real-world science and engineering skills (e.g., the “Maker Movement”). This paper highlights findings from a combined human–computer analysis of students as they complete a short engineering design task. The study uncovers novel insights and serves to advance the field’s understanding of engineering design patterns. More specifically, this paper uses machine learning on hand-coded video data to identify general patterns in engineering design and develop a fine-grained representation of how experience relates to engineering practices. Finally, the paper concludes with ideas on how the specific findings from this study can be used to improve engineering education and the nascent field of “making” and digital fabrication in education. We also discuss how human–computer collaborative analyses can grow the learning analytics community and make learning analytics more central to education research.

Optimization of Products Life Cycle

2015 ◽  
Vol 770 ◽  
pp. 662-669 ◽  
Author(s):  
S.I. Petrushin ◽  
R.H. Gubaidulina ◽  
S.V. Gruby
Keyword(s):  
Life Cycle ◽  
Engineering Design ◽  
Mechanical Engineering ◽  
Engineering Industry ◽  
Service Engineering ◽  
Product Lifetime

The issue of optimal products life cycle organization is considered on the example of mechanical engineering industry and is based on the principle of economically substantiated product lifetime. The concepts are developed, as well as methods are suggested to optimize the phases of service, engineering design, manufacture and disposal of machines.

scholarly journals AN OBJECT-ORIENTED PATTERN LANGUAGE FOR ENGINEERING DESIGN

2011 ◽  
Author(s):  
Y. P. Khanal ◽  
R. O. Buchal
Keyword(s):  
Engineering Design ◽  
Design Pattern ◽  
Design Patterns ◽  
Object Oriented ◽  
Pattern Language ◽  
Pattern Languages ◽  
Language Engineering ◽  
Incomplete Knowledge ◽  
Technical Systems ◽  
Reusable Design

Psychological inertia, biases and incomplete knowledge can lead engineering designers to choose a sub-optima design. The use of design patterns can help engineering designers find better solutions. Design patterns are recurring/reusable design solutions that are known to work in a particular design situation or a context. Patterns represent both recurring problems and recurring solutions together with their relationships. A design pattern language is a collection of related design patterns covering a particular design domain. This paper describes an object-oriented framework and methodology for the construction and use of pattern languages for the design of technical systems. Key words: Engineering design patterns; Engineering design pattern language; Engineering design; object-orientation.

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