{"id":2643,"date":"2024-10-09T10:19:45","date_gmt":"2024-10-09T08:19:45","guid":{"rendered":"https:\/\/clooma.ai\/?post_type=guide-dutilisateur&p=2643"},"modified":"2024-10-23T15:43:20","modified_gmt":"2024-10-23T13:43:20","slug":"05-response-surface","status":"publish","type":"guide-dutilisateur","link":"https:\/\/clooma.ai\/en\/users-guide\/05-response-surface\/","title":{"rendered":"Response surface designs"},"content":{"rendered":"

The response surface designs<\/strong> are methods used in statistics to model and optimize processes in which several independent variables influence one or more measurable responses. This technique is commonly applied when the response Y is known to vary in a non-linear (quadratic) way as a function of one or more factors X.<\/p>\n\n\n\n

Ellistat Data Analysis offers a variety of response surface designs. The table below summarizes the list of available designs:<\/p>\n\n\n

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Example of a response surface design<\/h2>\n\n\n\n

In the company ElliWelding<\/strong> Welding is a crucial operation for assembling metal components. The main objective is to produce high-quality welds that guarantee the strength and durability of the assembly. Weld quality is influenced by several parameters, such as welding current, welding speed and arc voltage.<\/p>\n\n\n\n

Optimization objective<\/strong><\/h3>\n\n\n\n

Maximize tensile strength<\/strong> of the welding process, while minimizing internal defects<\/strong> such as porosity or cracks.<\/p>\n\n\n\n

Factors considered<\/strong><\/h3>\n\n\n\n
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  1. Welding current<\/strong> (I):** Measured in amperes (A).<\/li>\n\n\n\n
  2. Welding speed<\/strong> (S):** Measured in millimeters per second (mm\/s).<\/li>\n\n\n\n
  3. Arc voltage<\/strong> (U):** Measured in volts (V).<\/li>\n<\/ol>\n\n\n\n

    Measured Response<\/strong><\/h3>\n\n\n\n