Experimental investigation and metallographic characterization of fiber laser beam welding of Ti-6Al-4V alloy using response surface method

2017 ◽  
Vol 95 ◽  
pp. 52-68 ◽  
Author(s):  
Chandan Kumar ◽  
Manas Das ◽  
C.P. Paul ◽  
B. Singh
Keyword(s):  
Experimental Investigation ◽  
Laser Beam ◽  
Fiber Laser ◽  
Response Surface ◽  
Response Surface Method ◽  
Laser Beam Welding ◽  
Surface Method

scholarly journals Application of Response Surface Method for Preparation, Optimization, and Characterization of Nicotinamide Loaded Solid Lipid Nanoparticles

2018 ◽  
Vol 8 (2) ◽  
pp. 245-256 ◽  
Author(s):  
Molood Alsadat Vakilinezhad ◽  
Shima Tanha ◽  
Hashem Montaseri ◽  
Rassoul Dinarvand ◽  
Amir Azadi ◽  
...  
Keyword(s):  
Response Surface ◽  
Response Surface Method ◽  
Solid Lipid Nanoparticles ◽  
Lipid Nanoparticles ◽  
Solid Lipid ◽  
Surface Method

Response surface method to optimize the production and characterization of lipase from Penicillium verrucosum in solid-state fermentation

2007 ◽  
Vol 31 (2) ◽  
pp. 119-125 ◽  
Author(s):  
Aniela Pinto Kempka ◽  
Nadia Lamb Lipke ◽  
Thais da Luz Fontoura Pinheiro ◽  
Silvana Menoncin ◽  
Helen Treichel ◽  
...  
Keyword(s):  
Solid State ◽  
Response Surface ◽  
Response Surface Method ◽  
Solid State Fermentation ◽  
Penicillium Verrucosum ◽  
Surface Method

Prediction Modelling of Surface Roughness for Laser Beam Cutting on Acrylic Sheets

2009 ◽  
Vol 83-86 ◽  
pp. 793-800 ◽  
Author(s):  
M.M. Noor ◽  
K. Kadirgama ◽  
M.M. Rahman ◽  
N.M. Zuki N.M. ◽  
Mohd Ruzaimi Mat Rejab ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Laser Beam ◽  
Response Surface ◽  
Response Surface Method ◽  
Laser Cutting ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Power Requirement ◽  
Box Behnken Design ◽  
Surface Method

This paper develops the predicting model on surface roughness of laser beam cutting (LBC) for acrylic sheets. Box-Behnken design based on Response surface method was used to predict the effect of laser cutting parameters including the power requirement, cutting speed and tip distance on surface roughness during the machining. Response surface method (RSM) was used to minimize the number of experiments. It can be seen that from the experimental results, the effects of the laser cutting parameters with the surface roughness were investigated. It was found that the surface roughness is significantly affected by the tip distance followed by the power requirement and cutting speed. Some defects were found in microstructure such as burning, melting and wavy surface. This simulation gain more understanding of the surface roughness distribution in laser cutting. The developed model is suitable to be used in the range of (power 90 to 95, cutting speed 700 to 1100 and tip distance 3 to 9) to predict surface roughness.

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