The Performance of Two-Stage Group Screening in Factor Screening Experiments

Technometrics ◽  
1982 ◽  
Vol 24 (4) ◽  
pp. 325 ◽  
Author(s):  
Carl A. Mauro ◽  
Dennis E. Smith
Keyword(s):  
Two Stage ◽  
Factor Screening ◽  
Screening Experiments

Crashworthiness optimization design of honeycomb sandwich panel based on factor screening

2012 ◽  
Vol 14 (6) ◽  
pp. 655-678 ◽  
Author(s):  
Shujuan Hou ◽  
Lili Ren ◽  
Duo Dong ◽  
Xu Han
Keyword(s):  
Optimization Design ◽  
Sandwich Panel ◽  
Honeycomb Core ◽  
Factor Screening ◽  
Specific Energy Absorption ◽  
Crashworthiness Optimization ◽  
Screening Experiments ◽  
Crushing Force ◽  
Honeycomb Sandwich ◽  
Robust Optimization Design

This paper presents a crashworthiness robust optimization design of aluminum honeycomb sandwich panel with regular hexagonal core cell based on explicit finite element analysis. First, the crashworthiness of honeycomb sandwich panel and the bare honeycomb core are compared with each other in the aspects of specific energy absorption and peak crushing force. The comparative results show that honeycomb sandwich panel can absorb more energy than the bare honeycomb core, though the peak crushing force of honeycomb sandwich panel is larger. Then the factor screening experiments are carried out to find out variables that have significant effects on the crashworthiness of honeycomb sandwich panel. The ultimate purpose of factor screening experiments is to decrease the computational expense by reducing the number of design variables. Finally, the dual response surface method and the crossed array design are employed to formulate the complex robust optimization design problem. The regression expressions of specific energy absorption and peak crushing force are defined as the objective and constraint function respectively in the robust design of crashworthiness optimization.

scholarly journals A Web-Based Knowledge Elicitation System (GISEL) for Planning and Assessing Group Screening Experiments for Product Development

2004 ◽  
Vol 4 (3) ◽  
pp. 218-225 ◽  
Author(s):  
David P. Dupplaw ◽  
David Brunson ◽  
Anna-Jane E. Vine ◽  
Colin P. Please ◽  
Susan M. Lewis ◽  
...  
Keyword(s):  
Probability Distributions ◽  
Screening Method ◽  
Two Stage ◽  
Web Based ◽  
Expert Opinions ◽  
Screening Experiments ◽  
Number Of Factors ◽  
Screening Strategies ◽  
Main Effects ◽  
Complete Investigation

When planning experiments to examine how product performance depends on the design, manufacture and environment of use, there are invariably too few resources to enable a complete investigation of all possible variables (factors). We have developed new algorithms for generating and assessing efficient two-stage group screening strategies which are implemented through a web-based system called GISEL. This system elicits company knowledge which is used to guide the formulation of competing two-stage strategies and, via the algorithms, to provide quantitative assessment of their efficiencies. The two-stage group screening method investigates the effect of a large number of factors by grouping them in a first stage experiment whose results identify factors to be further investigated in a second stage. Central to the success of the procedure is ensuring that the factors considered, and their grouping, are based on the best available knowledge of the product. The web-based software system allows information and ideas to be contributed by engineers at different sites and allows the experiment organizer to use these expert opinions to guide decisions on the planning of group screening experiments. The new group screening algorithms implemented within the software give probability distributions and indications of the total resource needed for the experiment. In addition, the algorithms simulate results from the experiment and estimate the percentage of important or active main effects and interactions that fail to be detected. The approach is illustrated through the planning of an experiment on engine cold start optimization at Jaguar Cars.

scholarly journals Cost optimization of two-stage helical gearboxes with second stage double gear-sets

2021 ◽  
pp. 89-101
Author(s):  
Le Hoang Anh ◽  
Nguyen Hong Linh ◽  
Nguyen Huu Quang ◽  
Pham Duc Lam ◽  
Nguyen Anh Tuan ◽  
...  
Keyword(s):  
Contact Stress ◽  
Cost Optimization ◽  
Transmission Ratio ◽  
Two Stage ◽  
Effective Measure ◽  
Second Stage ◽  
Face Width ◽  
Screening Experiments ◽  
Input Parameters ◽  
The Cost

In practice, the cost of a gearbox plays a very important role in the trade. Therefore, reducing the cost of gearboxes is an important task not only when manufacturing the gearboxes but also when designing them. In order to reduce the cost of a gearbox, there are many solutions in which determining the optimal partial gear ratios of a gearbox is an effective measure. This is because it not only the size, the mass but also the cost of a gearbox depends greatly on the partial gear ratios. This work presents a method for calculating the cost function of two-stage helical gearboxes with second-stage double gear-sets based on the mass of the components that construct the gearbox. The cost objective function is minimized to achieve the optimal transmission ratios. Furthermore, screening experiments are carried out with nine important input parameters that have significant effects on the optimum transmission ratio of the second stage. These parameters are the total gearbox ratio, the coefficient of wheel face width of the first stage, coefficient of wheel face width of the second stage, the allowable contact stress of the first stage, the allowable contact stress of the second stage, the output torque, the cost of gearbox housing, the cost of gears, and the shaft cost. The experimental results of were analysed by using the Analysis of Variance (ANOVA) method with the help of Minitab 19 software. The results demonstrate that the effective weight of the input parameters and their interactions on the output response was investigated. Also, a regression model for computing the optimal transmission ratio of the second stage was proposed. This brings significance not only in the design process but also in manufacturing since the gearbox cost can decrease

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