Surface roughness model and parametric optimization in finish turning using coated carbide insert: Response surface methodology and Taguchi approach

The purpose of this study was to analyze the effects of cutting parameters on the surface roughness (Ra) when turning of alloy cast iron using uncoated carbide insert under dry cutting condition. The mathematical model for the surface roughness was developed by response surface methodology (RSM).Response surface contours were constructed and used for determining the optimum cutting conditions to reduce machining time without increasing the surface roughness.

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Surface Roughness Prediction in the End Milling Parameters of Aluminum Nitride Ceramic by Response Surface Methodology

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.154-155.626 ◽

2010 ◽

Vol 154-155 ◽

pp. 626-633

Author(s):

Moola Mohan Reddy ◽

Alexander Gorin ◽

Khaled A. Abou-El-Hossein

Keyword(s):

Surface Roughness ◽

Response Surface Methodology ◽

Response Surface ◽

End Milling ◽

Cubic Boron Nitride ◽

Cutting Speed ◽

Machining Parameters ◽

Roughness Model ◽

Roughness Prediction ◽

Grinding Tool

The present experimental study aimed to examine the selected machining parameters on Surface roughness in the machining of alumina nitride ceramic. The influence of cutting speed and feed rate were determined in end milling by using Cubic boron nitride grinding tool. The predictive surface roughness model has been developed by response surface methodology. The response surface contours with respect to input parameters are presented with the help of Design expert software. The adequacy of the model was tested by ANOVA.

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Surface Roughness Model for Helical Milling of Die-Steel Based on Response Surface Methodology

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.431-432.346 ◽

2010 ◽

Vol 431-432 ◽

pp. 346-350 ◽

Cited By ~ 7

Author(s):

Xu Da Qin ◽

Song Hua ◽

Xiao Lai Ji ◽

Shi Mao Chen ◽

Wang Yang Ni

Keyword(s):

Surface Roughness ◽

Response Surface Methodology ◽

Response Surface ◽

Axial Direction ◽

Helical Milling ◽

Design Parameters ◽

Die Steel ◽

Roughness Model ◽

Milling Operation ◽

Hole Making

Holes making process is widely applied in die steel machining, Helical milling a hole, also called orbital drill, is hole making process by milling in which the center of end mill orbits around the center of the hole while spinning on its axis and moving in the axial direction. The paper presents the secondary regression prediction model of the holes surface roughness for helical milling of die-steel. To minimize the number of experiments for the design parameters, response surface methodology (RSM) with orthogonal rotatable central composite design is used. By means of variance analyses and additional cutting experiments, the adequacy of this model is confirmed. The model will be helpful in selecting cutting conditions to meet surface finish requirements in helical milling operation.

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Surface Roughness Prediction Model in Machining of 34CrMo4 Steel with Several Tools Using Response Surface Methodology

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.445.90 ◽

2012 ◽

Vol 445 ◽

pp. 90-95

Author(s):

Hamed Barghikar ◽

Amin Poursafar ◽

Abbas Amrollahi

Keyword(s):

Surface Roughness ◽

Response Surface Methodology ◽

Response Surface ◽

Feed Rate ◽

Cutting Speed ◽

Depth Of Cut ◽

Nose Radius ◽

Mean Values ◽

Roughness Model ◽

34Crmo4 Steel

The surface roughness model in the turning of 34CrMo4 steel was developed in terms of cutting speed, feed rate and depth of cut and tool nose radius using response surface methodology. Machining tests were carried out using several tools with several tool radius under different cutting conditions. The roughness equations of cutting tools when machining the steels were achieved by using the experimental data. The results are presented in terms of mean values and confidence levels.The established equation and graphs show that the feed rate and cutting speed were found to be main influencing factor on the surface roughness. It increased with increasing the feed rate and depth of cut, but decreased with increasing the cutting speed, respectively. The variance analysis for the second-order model shows that the interaction terms and the square terms were statistically insignificant. However, it could be seen that the first-order affect of feed rate was significant while cutting speed and depth of cut was insignificant.The predicted surface roughness model of the samples was found to lie close to that of the experimentally observed ones with 95% confident intervals.

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Empirical Modeling and Analysis of Surface Roughness in Milling Process of Nickel-Based Super Alloy Nimonic 115 through Response Surface Methodology

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.325.430 ◽

2011 ◽

Vol 325 ◽

pp. 430-435 ◽

Cited By ~ 1

Author(s):

H. Hassanpour ◽

M.H. Sadeghi ◽

S. Shajari ◽

M. Emami

Keyword(s):

Surface Roughness ◽

Response Surface Methodology ◽

Response Surface ◽

Feed Rate ◽

Empirical Modeling ◽

Quadratic Model ◽

Machining Parameters ◽

Radial Depth ◽

Nimonic 115 ◽

Coated Carbide

Nimonic 115 is one of the essential Nickel-based super alloys is known as one of the most difficult-to-cut materials because of its unique properties. Appropriate selection of the machining parameters in milling of this material is so vital for improving the machining efficiency. This paper discusses the use of response surface methodology for modeling of surface roughness in milling of Nimonic 115 with coated carbide tools. The machining parameters used in this study, are cutting speed, feed rate, axial and radial depth of cut. Average Surface roughness was measured in different conditions and analysis of variance (ANOVA)was performed. Then, quadratic model for predicting the surface roughness is established. The results show that the most significant parameter which affects surface roughness is feed rate.

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Parametric Optimization in Drilling Operation Using Response Surface Approach

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.1137.117 ◽

2016 ◽

Vol 1137 ◽

pp. 117-131

Author(s):

Kamaljit Singh Boparai ◽

Sandeep Singh ◽

Amritpal Singh

Keyword(s):

Surface Roughness ◽

Response Surface Methodology ◽

Response Surface ◽

Process Parameters ◽

Metal Cutting ◽

Parametric Optimization ◽

Machining Parameters ◽

Surface Approach ◽

Contour Plots ◽

Cutting Processes

Modeling and optimization of machining parameters are the indispensable elements in modern metal cutting processes. The present study realize the interaction of drilling input process parameters such as spindle speed, feed rate and number of holes and their influence on the surface roughness, diameter and position of hole obtained in drilling of mild steel. The contour plots were generated to highlights the interaction of process parameters as well as their effect on responses. An empirical model of surface roughness, diameter and position of hole was developed using response surface methodology (RSM). The model fitted and measured values were quite close, which indicates that the developed models can be effectively used to predict the respective response. The process parameters are optimized using desirability-based approach response surface methodology.

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