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What are response surface designs, central composite designs ... - Minitab
https://support.minitab.com/.../response-surface-central-composite-and-box-behnken-designs
A central composite design is the most commonly used response surface designed experiment. Central composite designs are a factorial or fractional factorial design with center points, augmented with a group of axial points (also called star points) that let you estimate curvature.   
 
Overview for Create Response Surface Design (Central Composite)
https://support.minitab.com/.../create-central-composite-design/before-you-start/overview
Use Create Response Surface Design (Central Composite) to create a designed experiment for 2−10 factors to model curvature in your data and identify factor settings that optimize the response. Central composite designs enable you to build on factorial or fractional factorial design by adding center points, augmented with axial points that let ...   
 
什么是响应曲面设计、中心复合设计和 Box-Behnken 设计? - Minitab
https://support.minitab.com/.../response-surface-central-composite-and-box-behnken-designs
中心复合设计是包括中心点并使用一组轴点又称为星形点扩充的因子或部分因子设计这些轴点可用于估计弯曲。 使用中心复合设计可以: 高效估计一阶和二阶项。 通过向以前完成的因子设计添加中心点和轴点,为带有弯曲的响应变量建模。 中心复合设计在顺序试验中尤为有用,因为经常可以通过添加轴点和中心点来基于以前的因子试验进行构建工作。 例如,您要确定对塑料部件进行注塑成型的最佳条件。 您首先运行因子试验和确定显著因子:温度(在 190° 和 210° 下设置的水平)和压力(在 50MPa 和 100MPa 下设置的水平)。 如果因子设计检测到弯曲,则可以使用响应曲面设计试验确定每个因子的最优设置。 下面是此试验的设计点。 如果可能,中心复合设计可以具有所希望的正交区组和可旋转属性。   
 
Reducing the Size of Your Response Surface Design - Minitab
https://blog.minitab.com/.../reducing-the-size-of-your-response-surface-design
There are a couple of ways you can reduce the size of your central composite design if you deem it too large. 1. Select Optimal Design. Minitab can use one of two methods for reducing your design, D-Optimality and Distance Based Optimality.   
 
Example of Create Response Surface Design (Central Composite)
https://support.minitab.com/.../create-central-composite-design/before-you-start/example
Choose Stat > DOE > Response Surface > Create Response Surface Design. Under Type of Design , select Central composite . From Number of continuous factors , select 3 .   
 
Blocks in a central composite design - Minitab
https://support.minitab.com/.../blocks-in-a-central-composite-design
A central composite design can always be separated into a factorial block and an axial point block. With three or more factors, the factorial block can also be split into two or more blocks. When you are creating a design, Minitab displays the appropriate choices.   
 
Summary of central composite designs - Minitab
https://support.minitab.com/.../summary-of-central-composite-designs
The table summarizes the designs generated by the central composite design commands. If the design has blocks, then the blocks are orthogonal.   
 
All statistics for Create Response Surface Design (Central Composite ...
https://support.minitab.com/.../examine-the-design/all-statistics
Find definitions and interpretation guidance for every statistic that is provided with the creation of a response surface central composite design.   
 
Overview for Analyze Response Surface Design - Minitab
https://support.minitab.com/.../analyze-response-surface-design/before-you-start/overview
Before you can analyze your data, you must use Create Response Surface Design (Central Composite), Create Response Surface Design (Box-Behnken) or Define Custom Response Surface Design to enter or define your design. You also need to have response data in the worksheet.   
 
Specify the design for Create Response Surface Design (Central Composite)
https://support.minitab.com/.../create-the-design/specify-the-design
Enter how many times to perform each experimental run that is in the base design. Usually, you consider the available resources and the purpose of your design when you select the number of replicates. You can add replicates to your design later with Stat > DOE > Modify Design.