2022
DOI: 10.1016/j.matpr.2022.04.041
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Multiple regression analysis on drilling performance of Al 2219 – SiCp metal matrix composite by Response surface Methodology (RSM) technique

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“…These R 2 (pred) values serve as indicators of the predictive performance of the regression models developed through RSM. 61 The high R 2 (pred) value of 95.67% for thrust force implies that the regression equation provides a robust representation of the relationship between the input factors and thrust force output. 51 This suggests that the model derived from RSM is capable of accurately predicting thrust force variations based on experimental conditions.…”
Section: Resultsmentioning
confidence: 99%
“…These R 2 (pred) values serve as indicators of the predictive performance of the regression models developed through RSM. 61 The high R 2 (pred) value of 95.67% for thrust force implies that the regression equation provides a robust representation of the relationship between the input factors and thrust force output. 51 This suggests that the model derived from RSM is capable of accurately predicting thrust force variations based on experimental conditions.…”
Section: Resultsmentioning
confidence: 99%