TY - CHAP
T1 - Experimentation, Modelling, and Analysis of Machining of Hard Material
AU - Patel G. C, Manjunath
AU - Chate, Ganesh R.
AU - Parappagoudar, Mahesh B.
AU - Gupta, Kapil
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2020.
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85079654955&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-40102-3_3
DO - 10.1007/978-3-030-40102-3_3
M3 - Chapter
AN - SCOPUS:85079654955
T3 - SpringerBriefs in Applied Sciences and Technology
SP - 53
EP - 71
BT - SpringerBriefs in Applied Sciences and Technology
PB - Springer
ER -