2022
DOI: 10.1007/s00170-022-09849-y
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Drilling performance of short Washingtonia filifera fiber–reinforced epoxy biocomposites: RSM modeling

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Cited by 10 publications
(5 citation statements)
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“…The relationship between the response value (AN yield) and reaction parameters (reaction temperature A , reaction time B , and catalyst dose C ), as well as their mutual dynamic effects, were analyzed, investigated and visualized through graphic technology. 58 Among them, the specific data of 17 groups of experiments are summarized in Table S1,† and Fig. S3† shows the relative parity between the experiment and predicted AN production.…”
Section: Resultsmentioning
confidence: 99%
“…The relationship between the response value (AN yield) and reaction parameters (reaction temperature A , reaction time B , and catalyst dose C ), as well as their mutual dynamic effects, were analyzed, investigated and visualized through graphic technology. 58 Among them, the specific data of 17 groups of experiments are summarized in Table S1,† and Fig. S3† shows the relative parity between the experiment and predicted AN production.…”
Section: Resultsmentioning
confidence: 99%
“…This approach was used to analyze experiments comprising three levels of design. The BBED can be rotated, and it is said to have no fractional factorial design, which makes it easy to understand the results [ 41 ]. In RSM, the general correlation of the control parameters and their responses is illustrated in Equation (1): where Y is the response (thrust force), β 0 , β 1 , β 2 ,…β i are the regression coefficients, x 1 , x 2 ,…x i denote the predictor variable, namely, feed rate, diameter, and cutting speed, and ε shows the error occurring in the thin model.…”
Section: Materials and Methodologymentioning
confidence: 99%
“…This approach was used to analyze experiments comprising three levels of design. The BBED Polymers 2023, 15, 3075 6 of 15 can be rotated, and it is said to have no fractional factorial design, which makes it easy to understand the results [41]. In RSM, the general correlation of the control parameters and their responses is illustrated in Equation ( 1):…”
Section: Drilling Process Parameters and Optimizationmentioning
confidence: 99%
“…Many researchers have proven the feasibility and effectiveness of this technique as a method for solving multiple response problems in process engineering for the optimization of various machining process parameters, including electric discharge machining of Inconel 718 material [41], milling of glass fibre-reinforced composites [39], end milling of Inconel 718 super alloy [42], milling of rice husk fibre-reinforced composites [43], wire cut electrical discharge machining [44], drilling of polymer composite reinforced with jute fibre [45], and drilling process parameters of polymer composite reinforced with Washintonia filifera [46]. Despite the effectiveness and simplicity of this method, very few studies have employed this strategy to solve multiresponse problems in the concept of biocomposite manufacturing.…”
Section: Desirability Function Analysismentioning
confidence: 99%