Thermal Model Correlation Using Design Sensitivity and Optimization Techniques - Continued Progress

1995 ◽  
Author(s):  
Frank DeMauro ◽  
F.Joseph Harvatine
Author(s):  
H Zhou ◽  
D Li ◽  
S Cui

A three-dimensional numerical simulation using the boundary element method is proposed, which can predict the cavity temperature distributions in the cooling stage of injection moulding. Then, choosing the radii and positions of cooling lines as design variables, the boundary integral sensitivity formulations are deduced. For the optimum design of cooling lines, the squared difference between the objective temperature and the temperature of the cavity is taken as the objective function. Based on the optimization techniques with design sensitivity analysis, an iterative algorithm to reach the minimum value of the objective function is introduced, which leads to the optimum design of cooling lines at the same time.


1997 ◽  
Vol 119 (2) ◽  
pp. 258-264 ◽  
Author(s):  
Hyoung M. Kim ◽  
T. J. Bartkowicz

This paper describes a two-step damage detection and health monitoring approach that was developed for large and complex structures with a limited number of measurements. The first step identifies a general area of structural damage using the optimal model update method and a hybrid model reduction/eigenvector expansion technique. The second step locates a specific damaged structural component using a design sensitivity technique based on a priori information from the first damage detection step. Performance of the proposed damage detection approach was demonstrated with testing and analysis of a ten-bay hexagonal truss structure. Procedures developed for the damage detection are also directly applicable to test/dynamic math model correlation when the number of measurements is limited.


2017 ◽  
Vol 24 (1) ◽  
pp. 13-21 ◽  
Author(s):  
Pavel Y. Tabakov ◽  
Sibusiso Moyo

AbstractThe increased use of composite materials and structures in many engineering applications led to the need for a more accurate analysis and design optimization. While methods of stress-strain analysis developed faster, optimization techniques have been lagging behind. As a result, many designed structures do not fulfill their full potential. The present study demonstrates the major achievements in recent years in an application of evolutionary algorithms to the design optimization of fiber-reinforced laminated composite structures. Such structures are of much interest due to high structural design sensitivity to fiber orientations as well as complex multidimensional discrete optimization problems. Using an anisotropic multilayered cylindrical pressure vessel and an exact elasticity solution as an example, we show how the optimum, or near–optimum, solution can be found in a more efficient way.


2012 ◽  
Author(s):  
Katsuya Minami ◽  
Hiroshi Otsubo ◽  
Yusuke Nakai

2005 ◽  
Vol 42 (3) ◽  
pp. 457-466 ◽  
Author(s):  
Ruth M. Amundsen ◽  
John A. Dec ◽  
Benjamin E. George

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