By the grey-based Taguchi methods, this study attempts to analyze the process parameters pertinent to the multiple performance characteristics of linear motion guides and obtain the multiple performance characteristics of the noise level, push force value and horizontal combination precision of the linear motion guide with multiple qualities. Optimal process parameters are determined by using t...

In this study the Taguchi method, has been applied to optimize the heat treatment parameters for the corrosion resistance of AA6061 aluminum alloy. The experimental design consisted of four parameters (aging temperature, aging time, quenching environment and NaCl concentration), each containing three levels. Tafel polarization measurements were carried out to determine the corrosion resistance ...

Manufacturing process frequently employs optimization of machining parameters in order to improve product quality as well as to enhance productivity. The material removal rate is a significant indicator of the productivity and cost efficiency of the process. Taguchi method has been implemented for assessing favorable (optimal) machining condition during the machining of nylon by considering thr...

and cause health and environmental effects. this study investigates the optimization of the parameters affecting the advanced oxidation process fenton for improving toc removal from aqueous solution includes amoxicillin antibiotic by using taguchi experimental design. methods: in this study for evaluation the effect of factors and determination optimal conditions to removal toc by fenton proces...

Dolph-Chebychev arrays are known to exhibit the best compromise between sidelobe level and directivity. However, they place a constraint on the null locations. Any attempt to impose nulls or get them deeper will impact the directivity/sidelobe level trade-off. In this work, null placement in Dolph-Chebychev arrays through element position perturbation is carried out based on Taguchi method whil...

Support Vector Machines (SVM) is a powerful classification technique in data mining and has been successfully applied to many real-world applications. Parameter selection of SVM will affect classification performance much during training process. However, parameter selection of SVM is usually identified by experience or grid search (GS). In this study, we use Taguchi method to make optimal appr...

By the grey-based Taguchi methods, this study attempts to analyze the process parameters pertinent to the multiple performance characteristics of linear motion guides and obtain the multiple performance characteristics of the noise level, push force value and horizontal combination precision of the linear motion guide with multiple qualities. Optimal process parameters are determined by using t...

The target costing technique, mathematically discussed by Sauers, only uses the p C index along with Taguchi loss function and X -R control charts to setup goal control limits. The new specification limits derived from Taguchi loss function is linked through the p C value to X -R control charts to obtain goal control limits. In this study, the target costing technique is exploited by further co...