Optimization of laser cutting parameters for Al6061/SiCp/Al2O3 composite using grey based response surface methodology (GRSM)

Adalarasan, R.; Santhanakumar, M.; Rajmohan, M.

doi:10.1016/j.measurement.2015.06.003

Cited by 96 publications

(47 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…It is shown that in comparison nitrogen with oxygen, nitrogen caused brighter and smoother cut surface with smaller kerf, although it did not prove to be economical. A grey based response surface methodology is used to predict the optimal level of cutting parameters in CO 2 laser cutting of Al6061/SiC/Al2O3 composite sheets with 4 mm thickness (Adalarasan et al, 2015). Laser power, pulsing frequency, cutting speed and assist gas pressure are considered as cutting parameters.…”

Section: Introductionmentioning

confidence: 99%

Statistical Approach to the Analysis of the Cut Quality in Laser Cutting Process

Gotlih¹,

Klančnik²,

Begić-Hajdarević³

et al. 2017

DAAAM International Scientific Book

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

Statistical Approach to the Analysis of the Cut Quality in Laser Cutting Process

Gotlih¹,

Klančnik²,

Begić-Hajdarević³

et al. 2017

DAAAM International Scientific Book

View full text Add to dashboard Cite

“…In [7] technique to predict surface roughness in the laser cutting process is developed for the first time by analysing the dynamic phenomenon that happens within the cutting front. The quality characteristics (such as kerf width, surface roughness and cut edge slope) were observed for the various cutting parameters such as laser power, cutting speed and assist gas pressure during pulsed CO2 laser cutting of Al6061/SiCp/Al2O3 composite [8]. Hybrid approach of grey based response surface methodology for predicting the optimal combination of laser cutting parameters is used.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Process Parameters for Cut Quality in CO2 Laser Cutting Using Taguchi Method

Begić-Hajdarević¹,

Pasic²,

Čekić³

et al. 2016

Proceedings of the 27th International DAAAM Symposium 2016

View full text Add to dashboard Cite

Laser cutting is a popular manufacturing process utilized to cut various types of materials. There are many non-linear interaction factors responsible for the performance of the laser cutting process. Identification of dominant factors that significantly affect cut quality is important. In this paper, the effect of the process parameters is analysed on the laser cut quality of an uncommon alloy, the tungsten alloy sheet with thickness of 1 mm. The experiments are conducted at three levels of the selected process parameters such as assist gas type (oxygen, air and nitrogen) and assist gas pressure. Taguchi design of experiments is used to obtain the optimum conditions through the study of signal to noise ratio for three quality characteristics such as kerf width, heat affected zone and surface roughness. Results of this study indicate that the optimal assist gas pressure is entirely different for kerf width, heat affected zone and surface roughness. The nitrogen as assist gas is suggested as the optimal assist gas for all of three quality characteristics.

show abstract

“…Generally the flank wear of the tool is found to be more at higher cutting speed and feed rate [1]. The effect of various machining parameters can be visualized from the quality characteristics observed in the machined surfaces including tool wear [2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Response Surface Methodology for Effective Lubrication and Reduced Tool Wear in Turning En24 Steel

Adalarasan¹,

Santhanakumar²

2016

Int. Jour. Des. Manf. Tech.

View full text Add to dashboard Cite

Turning is an important machining process involving quality characteristics like tool wear and finish of the cut surface. The present work is focused towards the application of response surface methodology (RSM) in turning of EN24 steel. The work observes the effectiveness of the application of minimum quality lubricant (MQL) during the process of turning EN24 steel. The selection of parameters like tool type, work speed, depth of cut and type of lubrication is vital to obtain a good finish and reduced tool wear. Taguchi's L18 orthogonal array (OA) is used to conduct the turning trials and RSM is applied to predict the optimal turning condition.

show abstract

Optimization of laser cutting parameters for Al6061/SiCp/Al2O3 composite using grey based response surface methodology (GRSM)

Cited by 96 publications

References 22 publications

Statistical Approach to the Analysis of the Cut Quality in Laser Cutting Process

Statistical Approach to the Analysis of the Cut Quality in Laser Cutting Process

Optimization of Process Parameters for Cut Quality in CO2 Laser Cutting Using Taguchi Method

Response Surface Methodology for Effective Lubrication and Reduced Tool Wear in Turning En24 Steel

Contact Info

Product

Resources

About