The Research of Product Concept Feature Modeling Based on Energy Saving

2013 ◽  
Vol 712-715 ◽  
pp. 2917-2924
Author(s):  
Han Shu Zang ◽  
Qing Chao Sun ◽  
Jun Liang Wu ◽  
Chuan Lei Wang

Product conceptual feature modeling based on energy saving is established. Through having decomposed the general functions, product design information of every function unit is extracted and converted into energy eigenvector. The combination of every function unit becomes functional chain and the function model is got. Using the bond graph and state space theory, principal analysis and behavior modeling is developed. Structure modeling is established based on function modeling and behavior modeling, comprehensively considered energy consumption influencing factors in structure modeling. Function-behavior-Structure modeling is put forward and product conceptual feature modeling based on energy saving is realized.

2010 ◽  
Vol 156-157 ◽  
pp. 123-126 ◽  
Author(s):  
Fu Ying Zhang ◽  
Hong Chao Zhang ◽  
Hui Zheng ◽  
Qing Qing Zhang

The energy consumption and environmental impacts of a product are largely determined during concept design. It is the core for energy saving product development to integrate energy saving into product concept design process. In this paper, a framework for energy-saving product concept design based on TRIZ/function analysis is proposed, the energy flow chart is built based on the analysis of product function. By eliminating the harmful function associated with energy and environment, resolving the conflict parameter and attributes of components in energy and function, the new product that satisfy user needs while minimizing energy consumption is obtained. A case study is also presented to illustrate the effectiveness of the proposed design framework.


2016 ◽  
Vol 24 (6) ◽  
pp. 428-445 ◽  
Author(s):  
Lynda Saifi ◽  
Abdelhak Boubetra ◽  
Farid Nouioua

A common phenomenon in everyday life is that, when a strange event occurs or is announced, a regular crowd can completely change, showing different intense emotions and sometimes uncontrollable and violent emerging behavior. These emotions and behaviors that disturb the organization of a crowd are of concern in our study, and we attempt to predict these suspicious circumstances and provide help in making the right decisions at the right time. Furthermore, most of the models that address crowd disasters belong to the physical or the cognitive approaches. They study pedestrian flow and collision avoidance, etc., and they use walking speed and angle of vision. However, in this work, based on a behavioral rules approach, we aim to model emergent emotion, behavior and influence in a crowd, taking into account particularly the personality of members of the crowd. For this purpose, we have combined the OCEAN (Openness, Consciousness, Extraversion, Agreeableness, and Neuroticism) personality model with the OCC (Ortony, Clore, and Collins) emotional model to indicate the susceptibility of each of the five personality factors to feeling every emotion. Then we proposed an approach that uses first fuzzy logic for the emotional modeling of critical emotions of members of the crowd at the announcement or the presence of unusual events, in order to quantify emotions. Then, we model the behavior and the tendency towards actions using probability theory. Finally, the influence among the members of the crowd is modeled using the neighborhood principle and cellular automata.


2010 ◽  
Vol 48 (8) ◽  
pp. 5009-5027 ◽  
Author(s):  
Daniel Alpay ◽  
David Levanony ◽  
Ariel Pinhas

2014 ◽  
Author(s):  
Isaac W. Ekoto ◽  
Ethan Hecht ◽  
Christopher W. San Marchi ◽  
Katrina M. Groth ◽  
Angela Christine LaFleur ◽  
...  

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