8 Application of response surface method and desirability function for the optimization of machining parameters of hybrid metal matrix (Al/SiC/Al2O3) composites

2014 ◽  
Author(s):  
Kayaroganam Palanikumar
Keyword(s):  
Response Surface ◽  
Response Surface Method ◽  
Metal Matrix ◽  
Desirability Function ◽  
Machining Parameters ◽  
Surface Method

Optimization of Machining Parameters on Surface Roughness in EDM of Ti-6Al-4V Using Response Surface Method

2011 ◽  
Vol 213 ◽  
pp. 402-408 ◽  
Author(s):  
M.M. Rahman ◽  
Md. Ashikur Rahman Khan ◽  
M.M. Noor ◽  
K. Kadirgama ◽  
Rosli A. Bakar
Keyword(s):  
Surface Roughness ◽  
Response Surface ◽  
Response Surface Method ◽  
Surface Finish ◽  
Machining Parameters ◽  
Surface Method ◽  
Superior Surface ◽  
Pulse On Time ◽  
Pulse Off Time ◽  
Off Time

This paper presents the influence of EDM parameters in terms of peak ampere, pulse on time and pulse off time on surface roughness of titanium alloy (Ti-6Al-4V). A mathematical model for surface finish is developed using response surface method (RSM) and optimum machining setting in favor of surface finish are evaluated. Design of experiments (DOE) techniques is implemented. Analysis of variance (ANOVA) has been performed to verify the fit and adequacy of the developed mathematical models. The acquired results yield that the increasing pulse on time causes fine surface till a certain value and then deteriorates the surface finish. It is investigated that about 200 µs pulse off time produce superior surface finish. These results lead to desirable surface roughness and economical industrial machining by optimizing the input parameters.

scholarly journals Coupled CFD-Response Surface Method (RSM) Methodology for Optimizing Jettability Operating Conditions

2018 ◽  
Vol 2 (4) ◽  
pp. 51 ◽  
Author(s):  
Nuno Couto ◽  
Valter Silva ◽  
João Cardoso ◽  
Leo M. González-Gutiérrez ◽  
Antonio Souto-Iglesias
Keyword(s):  
Response Surface ◽  
Response Surface Method ◽  
Desirability Function ◽  
Operating Conditions ◽  
Function Concept ◽  
Finite Volume Model ◽  
Volume Model ◽  
On Demand ◽  
Drop On Demand ◽  
Surface Method

A volume-of-fluid (VOF) finite volume model under the ANSYS® Fluent framework was coupled with the response surface method (RSM) to find the best operating conditions within a jettability window for two selected responses in a drop-on-demand inkjet printing process. Twenty-five runs were generated using a face centred design and numerical simulations were carried out using viscosity, surface tension, nozzle diameter, and inlet velocity as input factors. A mesh study was first conducted to establish the necessary number of cells to best combine accuracy and expended time. Selected runs were discussed, identifying the underpinning mechanisms behind the droplet generation at different time periods. Each one of the responses was evaluated under different input factors and their effects were identified. Finally, the desirability function concept was advantageously used to proceed with a multiple optimization where all the responses were targeted under usual jettability/printability conditions.

Optimization of Ultrasonic Elliptical Vibration Cutting Parameters Based on Response Surface Method

2020 ◽  
Vol 13 ◽  
Author(s):  
Wei Zhang ◽  
Maohua Xiao ◽  
Liang Zhang
Keyword(s):  
Response Surface ◽  
Response Surface Method ◽  
Cutting Parameters ◽  
Cutting Process ◽  
Machining Parameters ◽  
Elliptical Vibration Cutting ◽  
Vibration Cutting ◽  
Elliptical Vibration ◽  
Surface Method ◽  
Optimal Cutting Parameters

Background: Problems, such as severe hardening and poor processing quality, are present in the cutting process of difficult-to-machine materials. Objective: To investigate and optimize the machining parameters of 630 stainless steel by using an independently designed 28-KHz double-excitation elliptical vibration cutting process. Methods: Using the AdvantEdge platform and response surface method, the effects of the cutting speed Results: Results show that the error of the experimental results relative to the predicted ones under the optimized cutting parameter combination is less than 9%. Conclusion: Based on the response surface method, the optimal cutting parameters are obtained, and the cutting force and cutting temperature are at a lower level. The findings indicate the feasibility of the optimized machining parameters and provide a reference for the selection of cutting parameters and the publish of patents and when ultrasonic vibration is used to cut difficult-to-machine materials.

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