2020
DOI: 10.1007/s11771-020-4402-2
|View full text |Cite
|
Sign up to set email alerts
|

Evaluation of surface roughness and optimization of cutting parameters in turning of AA2024 alloy under different cooling-lubrication conditions using RSM method

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
11
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
7
1

Relationship

3
5

Authors

Journals

citations
Cited by 27 publications
(11 citation statements)
references
References 37 publications
0
11
0
Order By: Relevance
“…Thus, MQL has established itself as a clean, environmentally friendly process that has been extensively used by a variety of manufacturing industries. Further, the primary benefits of the MQL are deliberated as follows: 104-106 i. Eco-friendly coolant delivery system: Waste disposal is minimal and biodegradable fluids are used, resulting in a non-polluting process. ii.…”
Section: Way To Control Thermal Damagesmentioning
confidence: 99%
“…Thus, MQL has established itself as a clean, environmentally friendly process that has been extensively used by a variety of manufacturing industries. Further, the primary benefits of the MQL are deliberated as follows: 104-106 i. Eco-friendly coolant delivery system: Waste disposal is minimal and biodegradable fluids are used, resulting in a non-polluting process. ii.…”
Section: Way To Control Thermal Damagesmentioning
confidence: 99%
“…Due to many experiments, the response surface methodology (RSM) was used to design the experimental model. The response surface methodology is one of the optimization methods that use a set of mathematical and statistical techniques to model problems, and it does not only reduce the number and related expenses of experimental tests, but it also predicts the natural approach of the optimization process, which is often nonlinear [20]. A standard response surface methodology called Box-Wilson Central Composite Design (CCD) was used in this study.…”
Section: Design Of Experimentsmentioning
confidence: 99%
“…Therefore, the first step in the RSM is to find the appropriate approximation for the correct relationship between the response and the set of independent variables. Low-order polynomials are usually used in an area of independent variable values [20,21]. In RSM, the relationship between input parameters (Vc, f, and d) and output response (Y) can be expressed with Equation (1): In the present study, to predict the approximate response values, a second-order polynomial regression model was used, and the regression model for the number of K factors was presented as Equation ( 2):…”
Section: Development and Analyses Of Mathematical Modelsmentioning
confidence: 99%
“…Response Surface Methodology (RSM) is a powerful tool for systematic investigation of effect of process parameters on the response factors [29]. However, there are few works on optimization of parameters under cryogenic machining of superalloys.…”
Section: Introductionmentioning
confidence: 99%