Prediction of geometric quality characteristics during laser cutting of Inconel-718 sheet using statistical approach

  • Prashant Kumar Shrivastava
  • Bhagat SinghEmail author
  • Yogesh Shrivastava
  • Arun Kumar Pandey
Technical Paper


Machining of advanced material like Inconel-718 with accuracy and precision is an emerging need. Selection of an appropriate optimal range of cutting parameters is quite essential to achieve high-quality cut and is a challenging task within this domain of study. The aim of this research is to develop a robust prediction model which can suggest the desired range of cutting parameters for accomplishing better cutting quality, precision, and geometrical accuracy. Experiments have been performed on a 300-W (CNC-PCT 300) pulsed Nd:YAG laser cutting system at various levels of input cutting parameters, viz. gas pressure, standoff distance, cutting speed and laser power. Thereafter, response surface methodology has been adopted to develop mathematical models in terms of aforementioned input cutting parameters for geometrical quality characteristics: Top Kerf Width (TKW) and Bottom Kerf Width (BKW). The percentage error in the prediction models has been found as 1.981% and 1.511% for TKW and BKW, respectively. These developed models have been validated by comparing the predicted values with the experimental ones. Further, these models have been used to determine the dependency of responses on input parameters and to ascertain an optimal range of cutting parameters pertaining to better quality cut with high precision and geometrical accuracy. Moreover, it has also been found that the dependency of input parameters on output is non-monotonous in nature.


Inconel-718 Laser cutting Response surface method Safe cutting 



The authors are very grateful to Dr. B. N. Upadhayay, SOF, Solid State Division, the RRCAT (Raja Ramanna Centre for Advanced Technology), Indore (M.P), for providing the experimental support for this work.


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Copyright information

© The Brazilian Society of Mechanical Sciences and Engineering 2019

Authors and Affiliations

  • Prashant Kumar Shrivastava
    • 1
  • Bhagat Singh
    • 1
    Email author
  • Yogesh Shrivastava
    • 1
  • Arun Kumar Pandey
    • 2
  1. 1.Department of Mechanical EngineeringJaypee University of Engineering and TechnologyGunaIndia
  2. 2.Department of Mechanical EngineeringBundelkhand Institute of Engineering and TechnologyJhansiIndia

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