scholarly journals RETRACTED ARTICLE: Effects of roller burnishing process parameters on surface roughness of A356/5%SiC composite using response surface methodology

2014 ◽  
Vol 2 (4) ◽  
pp. 303-317 ◽  
Author(s):  
Shashi Prakash Dwivedi ◽  
Satpal Sharma ◽  
Raghvendra Kumar Mishra
Keyword(s):  
Surface Roughness ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Process Parameters ◽  
Roller Burnishing ◽  
Retracted Article ◽  
Burnishing Process

Analysis and Optimization of Surface Roughness and Microhardness for Roller Burnishing using Response Surface Methodology and Desirability Function Approach on Aluminum 63400

2019 ◽  
Vol 18 (03) ◽  
pp. 363-378
Author(s):  
Vijay Kurkute ◽  
Sandip Chavan
Keyword(s):  
Surface Roughness ◽  
Response Surface Methodology ◽  
Aluminum Alloy ◽  
Response Surface ◽  
Desirability Function ◽  
Roller Burnishing ◽  
Significant Control ◽  
Control Factors ◽  
Feed Force ◽  
Burnishing Process

In the present study, response surface methodology (RSM) has been used to optimize roller burnishing process for aluminum alloy 63400 grade. Single roller burnishing tool (carbide) is used to burnish round aluminum alloy. Experiments were performed with Box and Wilson Central Composite Design (CCD). The machining factors controlled during experimentation are speed, feed, force and number of tool passes. The response parameters are surface roughness and microhardness. The most significant control factors on the surface roughness and microhardness were determined by analysis of variance (ANOVA). A controllable process parameter is correlated with surface roughness and microhardness by mathematical model. A quadratic regression analysis is performed to compute the correlation coefficient between the experimental and predicted values. The optimum surface roughness and microhardness foreseen by the model is found to agree well with the results of the experiment. To find the optimum value of both the response, desirability approach was used. The input parameters with most desirability value are selected as the optimum solution. Hence, the most desirable burnished condition desirability value 0.872 is speed 37.9[Formula: see text]m/min, feed 0.5[Formula: see text]mm/rev, force 35.49[Formula: see text]N and number of tool passes four. Surface roughness obtained is 0.524[Formula: see text][Formula: see text] m and microhardness is 125.02[Formula: see text]HV. This is the optimum condition for minimum surface roughness and maximum microhardness. The optimum surface finish and microhardness predicted by the model are found to agree well with the results of the experiment.

scholarly journals Effect of Process Parameters on the Surface Roughness and Kerf Width of Mild Steel during Plasma Arc Cutting Using Response Surface Methodology

2020 ◽  
Vol 5 (1) ◽  
Author(s):  
Ekhaesomi A Agbonoga ◽  
Oyewole Adedipe ◽  
Uzoma G Okoro ◽  
Fidelis J Usman ◽  
Kafayat T Obanimomo ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Analysis Of Variance ◽  
Process Parameters ◽  
Cutting Speed ◽  
Gas Pressure ◽  
Kerf Width ◽  
Plasma Arc ◽  
Plasma Arc Cutting

This study investigated the effects of process parameters of plasma arc cutting (PAC) of low carbon steel material using analysis of variance. Three process parameters, cutting speed, cutting current and gas pressure were considered and experiments were conducted based on response surface methodology (RSM) via the box-Behnken approach. Process responses viz. surface roughness (Ra) and kerf width of cut surface were measured for each experimental run. Analysis of Variance (ANOVA) was performed to get the contribution of process parameters on responses. Cutting current has the most significant effect of 33.43% on the surface roughness and gas pressure has the most significant effect on  kerf width of  41.99% . For minimum surface roughness and minimum kerf width, process parameters were optimized using the RSM. Keywords: Cutting speed, cutting current, gas pressure,   surface roughness, kerf width

EXPERIMENTAL STUDY OF SURFACE ROUGHNESS AND TAPER ANGLE IN ABRASIVE WATER JET MACHINING OF 7075 ALUMINUM COMPOSITE USING RESPONSE SURFACE METHODOLOGY

2019 ◽  
Vol 27 (03) ◽  
pp. 1950112 ◽  
Author(s):  
A. SHANMUGAM ◽  
K. KRISHNAMURTHY ◽  
T. MOHANRAJ
Keyword(s):  
Surface Roughness ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Process Parameters ◽  
Water Pressure ◽  
Traverse Speed ◽  
Standoff Distance ◽  
Abrasive Waterjet ◽  
Machined Surface ◽  
Taper Angle

Surface roughness and taper angle of an abrasive waterjet machined surface of 7075 Aluminum metal matrix composite were deliberately studied. Response surface methodology design of experiments and analysis of variance were used to design the experiments and to identify the effect of process parameters on surface roughness and taper angle. The jet traverse speed and jet pressure were the most significant process parameters which influence the surface roughness and taper angle, respectively. Increasing the pressure and jet traverse speed results in increasing the surface roughness and taper angle. At the same time, decreasing the standoff distance and jet traverse speed possibly enhances both the responses. The optimal process parameters of 1[Formula: see text]mm as standoff distance, 192[Formula: see text]MPa as water pressure and 30[Formula: see text]mm[Formula: see text]min[Formula: see text] as jet traverse speed were identified to obtain the minimum value of surface roughness and taper angle. Based on the optimal parameters, the confirmation test was conducted. The mathematical equation was obtained from the experimental data using regression analysis; it was observed that the error was less than 5% of the experimentally measured values.

Optimization of Surface Grinding Process Parameters for Minimum Surface Roughness in AISI 1080 Using Response Surface Methodology

2014 ◽  
Vol 984-985 ◽  
pp. 118-123 ◽  
Author(s):  
S. Periyasamy ◽  
M. Aravind ◽  
D. Vivek ◽  
K.S. Amirthagadeswaran
Keyword(s):  
Surface Roughness ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Process Parameters ◽  
Surface Grinding ◽  
Steel Plates ◽  
Medium Effect ◽  
Depth Of Cut ◽  
Design Expert ◽  
Minimum Surface

In this study, the response surface methodology was used to optimize the process parameters of constant speed horizontal spindle surface grinding. The experiments were conducted based on the design expert software. The surface roughness characteristics were investigated in AISI 1080 steel plates using A60V5V grinding wheels. The optimum parameters for minimum surface roughness were found using Design Expert software. The parameters for a particular surface roughness value can also be determined using the results of this experiment. This results shows that feed has a greater effect on surface roughness and feed has medium effect on surface roughness. While dressing depth of cut has a very minimal effect on surface roughness.

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