Multi-objective optimization of laser curve cutting of aluminium metal matrix composites using desirability function approach

  • Vikas Sharma
  • Vinod Kumar
Technical Paper


The machining of aluminium metal matrix composite (MMC) material reinforced with SiC particles has been identified as typical process with traditional machining process. In the present study, curve cutting has been performed on the MMC material using CO2 laser cutting system. The investigations have been carried out to identify the thermal effects of SiC particles on surface roughness and kerf deviation. To optimize the quality characteristics, the response surface model is formulated using desirability functional approach. The optimal settings of various input variables have been identified for quality characteristics. The input parameters like cutting speed, reinforced particles and arc radius have been examined as significant factors. The adequacy of predicted response surface model was verified by performing the set of experiments and predicted error percentage method. The formation of recast layer and new phase Al4C3 was detected using SEM and XRD plot, respectively.


SiC particles Metal matrix composite material Response surface model 



Cutting speed (mm/min)


Laser power (watt)


Standoff distance (mm)


Nozzle diameter (mm)


Gas pressure (bar)


Reinforced particles (%)


Arc radius (mm)


Kerf deviation (mm)


Kerf width (mm)


Metal matrix composite


Surface roughness (µm)


Response surface methology


Specimen thickness (mm)



The authors are highly thankful to Sophisticated Analytical Instrument Laboratories (SAI Labs), Patiala, India for giving permission to conduct the various laboratory tests.


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Copyright information

© The Brazilian Society of Mechanical Sciences and Engineering 2016

Authors and Affiliations

  1. 1.Department of Mechanical EngineeringChandigarh UniversityMohaliIndia
  2. 2.Department of Mechanical EngineeringThapar UniversityPatialaIndia

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