scholarly journals Contribution à l'Amélioration de la Qualité de Surface en Optimisant les Paramètres de Coupe par la Méthodologie de Surface de Réponse en Fraisage à Sec = Contribution to Improving the Surface Quality by Optimizing the Cutting Parameters Using the Response Surface Methodology in Dry Milling

2016 ◽  
pp. 115-123
Author(s):  
Amel Bouchareb ◽  
Ahmed Lagred ◽  
Fatiha Khettabi
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Surface Quality ◽  
Cutting Parameters ◽  
Dry Milling

Study on the effect of cutting parameters on bamboo surface quality using response surface methodology

Measurement ◽  
2021 ◽  
Vol 174 ◽  
pp. 109002 ◽  
Author(s):  
Yanhe Liu ◽  
Jianbo Zhou ◽  
Wansi Fu ◽  
Bin Zhang ◽  
Feihu Chang ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Surface Quality ◽  
Cutting Parameters

Investigation of Surface Roughness during Turning Process Based on Response Surface Methodology

2010 ◽  
Vol 135 ◽  
pp. 243-248 ◽  
Author(s):  
Shu Han ◽  
Qing Long An ◽  
Ming Chen ◽  
Gang Liu ◽  
Yun Shan Zhang
Keyword(s):  
Surface Roughness ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Cutting Parameters ◽  
Cutting Condition ◽  
Dry Cutting ◽  
Machining Time ◽  
The Mathematical Model ◽  
Carbide Insert ◽  
Alloy Cast

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.

scholarly journals Investigation of Drilling Parameters Using Grey Relational Analysis and Response Surface Methodology of Biaxial Glass Fibre Reinforced with Modified Epoxy Resin Composite

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
I Infanta Mary Priya ◽  
B. K. Vinayagam
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Glass Fibre ◽  
Grey Relational Analysis ◽  
Cutting Parameters ◽  
Image Processing Technique ◽  
Tool Materials ◽  
Relational Analysis ◽  
Glass Fibre Reinforced ◽  
Grey Relational

This research work attempts to study the most prominent factor of the drilling operations performed on different thicknesses of biaxial glass fibre reinforced with graphene platelet nanopowder and epoxy composite using three different drills. Damages are induced in the workpieces to analyse the effect of changed cutting parameters and different tool materials for varied thicknesses of the plates during the drilling process. The resultant drilled hole exhibited surface irregularities that are measured using SURFCOM 1400G. The circularity deviations of the holes are measured using a coordinate measuring machine. Image-processing technique is used to calculate the area of maximum diameter of the damaged zone. Using these data, delamination at entry and exit is calculated. Utilizing response surface methodology and grey relational analysis, the varied operations are carried out and analysed with different tool materials for common cutting parameters. It is found that the lesser thickness workpiece with selected HSS drill under high speed and low feed rate is the best variable option.

Experimental Study on Optimizing the Effect of Drilling Parameters on Roundness Error of Holes of Aluminum 7075 Using Response Surface Methodology

2012 ◽  
Vol 184-185 ◽  
pp. 981-987
Author(s):  
Setayesh Hakak Zargar ◽  
Vahid Tahmasbi ◽  
K. Besharati ◽  
Mohammad Farzami
Keyword(s):  
Experimental Study ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Surface Quality ◽  
Cutting Speed ◽  
Drilling Process ◽  
Regression Equations ◽  
Roundness Error ◽  
Drill Diameter ◽  
Aluminum 7075

In the present work, an experimental study has been made to optimize the drilling process parameters. Response surface methodology based on central composite design (CCD) has been used to study and analyze the experiments. Twist drill diameter, cutting speed and feed of drilling were chosen as variables to study the process performance for the responses of the hole surface quality (Ra) and the roundness error on aluminum 7075. Experiments were performed on a newly designed experimental setup developed in the laboratory. The results identified the most important parameters to maximize the hole surface quality and minimize roundness error. Finally, regression equations were obtained to predict the responses for different values of variables.

scholarly journals Research and Modelling of Surface Roughness, Cutting Forces and I-kaz Coefficients for S42C in Turning using Response Surface Methodology

2019 ◽  
Vol 8 (12S2) ◽  
pp. 608-620
Keyword(s):  
Surface Roughness ◽  
Response Surface Methodology ◽  
Statistical Analysis ◽  
Response Surface ◽  
Cutting Parameters ◽  
Machining Process ◽  
Regression Equations ◽  
Turning Process ◽  
Machining Processes ◽  
Surface Method

This paper presents the optimization in machining processes on the cutting parameters for the S45C in turning process using the response surface method (RSM). The experimental work conducted investigates the influence of cutting parameters on statistical analysis of signals and surface quality. The paper also presents a statistical analysis of signal processing. The cutting force was measured during machining using the Kistler 9129AA dynamometer to monitor the force signals and the data was analyzed using the I-kazTM method of statistical analysis. This statistical analysis was used to assess the effect of force signals during the machining process. The RSM models for Ra and Rz, and Ideveloped with ANOVA and multiple regression equations. The models also were compared and validated with the predicted and measured of Ra and Rz values, and I-kaz coefficients. The optimal configuration of cutting parameters was observed at 200 m/min, 0.1 mm/rev and 0.521 mm with desirability of 95.9%. It is observed that the models developed are suggested to be utilized for predicting surface roughness values and I-kaz coefficients for the machining of S45C steel.

scholarly journals Analysed statistically Modelling and Optimization of Laser Machining by Response Surface Methodology

2018 ◽  
Vol 153 ◽  
pp. 05005
Author(s):  
Hani Mizhir ◽  
Kamil Jawad ◽  
Zuhair H Obaid
Keyword(s):  
Surface Roughness ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Surface Quality ◽  
Laser Cutting ◽  
Cutting Speed ◽  
Machining Process ◽  
Good Surface ◽  
Model Response ◽  
Cutting Model

One of the important goals of this research is to predict a relationship between the process input parameters and resultants from surface roughness features through developing a laser cutting model. In most engineering applications, natural sciences and computing; statistical methods, which are one of mathematical branch are widely used for investigating the results. Laser cutting process of stainless steel (2205) is a machining process selected for this study. The technique which adopted here is a response surface methodology (RSM). The main portion for this study is the influence of cutting speed on surface quality. To study the model response, and for statistical approach with further prediction; a mathematical based model has been developed through regression analysis. It’s found that as one of the important results in this research, that cutting speed and surface roughness has a significant rule on the model response. To produce a good surface roughness, it’s approved that the high cutting speed connected with high power regardless of high pressure has a high influence on surface quality.

Modelling and Analysis of Relationship between Cutting Parameters Surface Roughness and Cutting Forces Using Response Surface Methodology when Hard Turning with Coated Ceramic Inserts

2016 ◽  
Vol 686 ◽  
pp. 19-26 ◽  
Author(s):  
Ildikó Maňková ◽  
Marek Vrabeľ ◽  
Jozef Beňo ◽  
Mária Franková
Keyword(s):  
Surface Roughness ◽  
Response Surface Methodology ◽  
Cutting Force ◽  
Response Surface ◽  
Hard Turning ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Oxide Ceramic ◽  
Cutting Force Components ◽  
Force Components

Experimental research and modeling in the field of turning hardened bearing steel with hardness of 62 HRC using TiN coated mixed oxide ceramic inserts is presented. The main objective of the article is investigation the relationship between cutting parameters (cutting speed and feed rate) and output machining variables (surface roughness and cutting force components) through the response surface methodology (RSM). The mathematical model of the effect of process parameters on the cutting force components and surface roughness is presented. Moreover, the influence of TiN coating on above mentioned variables was monitored. The design of experiment according to Taguchi L9 orthogonal matrix (32) was applied for trials. Pearson´s correlation matrix was used to examine the dependence between the factors (f, vc) and the machining variables (surface roughness and cutting force components). The results show how much surface roughness and cutting force components is influenced by cutting speed and feed in hard turning with coated ceramics.

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