Experimentation, Modelling, and Analysis of Machining of Hard Material

Manjunath Patel G. C, Ganesh R. Chate, Mahesh B. Parappagoudar, Kapil Gupta

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationSpringerBriefs in Applied Sciences and Technology
PublisherSpringer
Pages53-71
Number of pages19
DOIs
Publication statusPublished - 2020

Publication series

NameSpringerBriefs in Applied Sciences and Technology
ISSN (Print)2191-530X
ISSN (Electronic)2191-5318

ASJC Scopus subject areas

  • Biotechnology
  • General Chemical Engineering
  • General Mathematics
  • General Materials Science
  • Energy Engineering and Power Technology
  • General Engineering

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