Optimisation of Nd:YAG laser micro-turning process using response surface methodology

2012 ◽  
Vol 3 (1) ◽  
pp. 14 ◽  
Author(s):  
G. Kibria ◽  
B. Doloi ◽  
B. Bhattacharyya
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Nd:Yag Laser ◽  
Turning Process ◽  
Micro Turning

Experimental Investigation into Pulsed Nd:YAG Laser Micro-Turning of Engineering Ceramics

2011 ◽  
Vol 264-265 ◽  
pp. 1318-1323 ◽  
Author(s):  
G. Kibria ◽  
B. Sharma ◽  
B. Doloi ◽  
B. Bhattacharyya
Keyword(s):  
Nd:Yag Laser ◽  
Biomedical Applications ◽  
Pulse Frequency ◽  
Depth Of Cut ◽  
Turning Process ◽  
Laser Beam Machining ◽  
Pulsed Nd:Yag Laser ◽  
Engineering Ceramics ◽  
Lamp Current ◽  
Micro Turning

Laser beam machining (LBM) is the most exciting thermal energy based non-contact type advanced material machining method to process almost whole range of materials. The laser microturning of ceramics are highly demanded in the present industries because of its wide and potential uses in various engineering fields such as automobile, electronics, aerospace, biomedical applications etc. The present paper addresses the basic experimental study of Nd:YAG laser microturning of advanced engineering cylindrical shaped ceramic material to explore the desired laser output responses i.e. depth of cut and surface roughness by varying laser micro-turning process parameters such as lamp current, pulse frequency and rotational speed of workpiece etc.

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.

Sign in / Sign up

Export Citation Format

Share Document