Experimentation, Modelling, and Analysis of Machining of Hard Material

  • Manjunath Patel G. C.Email author
  • Ganesh R. Chate
  • Mahesh B. Parappagoudar
  • Kapil Gupta
Part of the SpringerBriefs in Applied Sciences and Technology book series (BRIEFSAPPLSCIENCES)


Planning and conducting experiments is the key in effective monitoring of system, which leads to success in manufacturing. The traditional approach of experimental study (i.e. one factor at a time, OFAT) requires more number of experiments and consequently consumes more resources. Moreover, the interpretations and analysis that can be made from the experimental data are also limited. Design of experiments (DOE) is a statistical tool, which uses well-planned set of experiments to collect the input–output data. Further, DOE can be used to analyse the experimental data, establish input–output relations, and optimize the process. Figure 3.1 shows the general steps followed in designing a statistical-based experiment.


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Copyright information

© The Author(s), under exclusive license to Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Manjunath Patel G. C.
    • 1
    Email author
  • Ganesh R. Chate
    • 2
  • Mahesh B. Parappagoudar
    • 3
  • Kapil Gupta
    • 4
  1. 1.Department of Mechanical EngineeringPES Institute of Technology and ManagementShivamoggaIndia
  2. 2.Department of Mechanical EngineeringKLS Gogte Institute of TechnologyBelgaumIndia
  3. 3.Department of Mechanical EngineeringPadre Conceicao College of EngineeringVernaIndia
  4. 4.Department of Mechanical and Industrial Engineering TechnologyUniversity of JohannesburgDoornfontein, JohannesburgSouth Africa

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