Modeling Elastic Constants of Keratin-Based Hair Fiber Composite Using Response Surface Method and Optimization Using Grey Taguchi Method

Author(s):  
P. Divakara Rao ◽  
C. Udaya Kiran ◽  
K. Eshwara Prasad
2007 ◽  
Vol 329 ◽  
pp. 9-14 ◽  
Author(s):  
Eun Sang Lee ◽  
Jung Hyung Lee

The surface roughness in centerless grinding is mainly affected by the many process parameters. For decreasing the surface roughness, the control of grinding parameters is very important. This paper deal with the analysis of the process parameters such as height of centers, tilting angle of the regulating wheel, speed of the regulating wheel, developed based on Taguchi method and response surface method. The effect of grinding parameters on the surface roughness was evaluated the utilization of the response surface model was evaluated with constraints of the surface roughness.


2014 ◽  
Vol 625 ◽  
pp. 462-465
Author(s):  
Mohammad Taufik Ibrahim ◽  
Nooryusmiza Yusoff

Response Surface Method involving central composite design is employed to determine the optimal configuration of nine factors for maximizing the profit of a Condensate Fractionation Unit. When compared with the results from the base case and Taguchi method, the result from RSM shows higher profits by 33.1% and 1.16%, respectively. A further benefit of 0.64% is noticed when three insignificant factors were removed from the nine-factor experiment due to interactions between factors.


2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Minh Phung Dang ◽  
Hieu Giang Le ◽  
Ngoc N. Trung Le ◽  
Ngoc Le Chau ◽  
Thanh-Phong Dao

A novel compliant z-stage is applied for positioning and indenting a specimen in nano/microindentation testing system. For an excellent operation, the proposed z-stage can concurrently satisfy multicriteria comprising high safety factor, small parasitic motion, and large output displacement. The key aims of this article are to present a novel design of the compliant z-stage as well as an effective integration methodology of Taguchi method, response surface method, weight factor calculation based on signal to noise, and the whale optimization algorithm to resolve a design optimal problem so as to enrich the quality performances of the proposed stage. Primarily, the z-stage is designed based on four-lever amplifier, compliant hinge shifted arrangement mechanism, zigzag-based flexure spring guiding mechanism, and symmetric six leaf hinges-based parallel guiding mechanism. Secondly, the number experiment data are achieved by the Taguchi method and finite element analysis. Subsequently, the regression functions among input variables and quality characteristics are formed by exploiting response surface method. In addition, the weight factors for every characteristic are defined. Additionally, the sensitivity analysis is accomplished for determining influences of input variables on quality responses. Ultimately, based on regression equations, the whale optimization algorithm is executed to define the optimal factors. The consequences indicated that the output deformation is about 454.55 μm and the safety factor is around 2.38. Furthermore, the errors among the optimal consequences and the confirmations for the safety factor and output deformation are 7.12% and 4.25%, correspondingly. By using Wilcoxon and Friedman methods, the results revealed that the proposed algorithm is better than the cuckoo search algorithm. Based on the quality convergence characteristics of hybrid approach, the proposed method is proficient for resolving complicated multiobjective optimization.


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