Design-Expert 8.0使用指南-Taguchi OA Design
(4) 田口设计(Taguchi OA Design) 2水平析因设计(2-level Factorial) 筛选试验设计(Plackett-Burman) 田口设计(Taguchi OA Design) 响应曲面设计(Response Surface Methodology) 1951年数学家Box和Wilson提出的。确定因素对指标存在非线性影响;因素个数2~7个,一般不超过4个时则RSM是最值得推荐的方法。适合于要求响...
Taguchi’s approach of parameter design as a statistical DOE technique was utilized to set the optimal welding parameters [30]. The experiments were arranged by using Taguchi’s L9 OA. The most influential significant parameter and percentage contribution of each parameter was identified on tensile ...
Design-Expert software (free trial 10.0.7.0 version) produced the BBD matrix, comprising 29 experimental runs. The experiments were executed according to the BBD matrix, and the response model coefficients were finalized by fitting the determined data into a second-degree polynomial equation. Table ...
This study systematically develops a hybrid optimization method for multiple quality characteristics by integrating the Taguchi parameter design, grey relational analysis, and principal component analysis. A plastic gear is used to demonstrate the efficiency and validity of the proposed hybrid optimization ...
In this review, some of the latest applicable methods of machine learning (ML) in additive manufacturing (AM) have been presented and the classification of
Expert Syst. Appl. (2024), Article 121745, 10.1016/j.eswa.2023.121745 Google Scholar [20] G. Er, G. Soykan, E. Canakoglu Stochastic optimal design of a rural microgrid with hybrid storage system including hydrogen and electric cars using vehicle-to-grid technology J. Energy Storage, 75 (...
Methane production from co-substrate (CS) bio-digestion of cow, poultry and hog manure (CM: PM: HM) can be a potential energy alternative supply. The effect of the co-digestion of these CSs on biogas and methane yield was investigated in this study. Using the Taguchi fractional factorial ...
Therefore, a factorial design experiment, fractional factorial design, or a Taguchi orthogonal array design need to be carried out to identify appropriate values for these factors that produce the best results within a given execution time. To capture the nonlinear behavior, at least three levels ...