Scatter in the outcome of repeated experiments is unavoidable due to measurement errors in addition to the non-linear nature of the output responses with unknown influential input parameters. It is a standard practice to select an orthogonal array in the Taguchi approach for tracing optimum input parameters by conducting a few number of experiments and confirm them through additional experimentation (if necessary). The purpose of this paper is to present a simple methodology and its validation with existing test results in finding the expected range of the output response by suggesting modifications in the Taguchi method.
The modified Taguchi approach is proposed to find the optimum process parameters and the expected range of the output response.
This paper presents a simple methodology and its validation with existing test results in finding the expected range of the output response by suggesting modifications in the Taguchi method.
Adequacy of this methodology should be examined by considering the test data on different materials and structures.
The introduction of Chauvenet’s criterion and opposing the signal-to-noise ratio transformation on repeated experiments of each test run will provide fruitful results and less computation burden.
The authors wish to thank the reviewers for their constructive criticism to improve the clarity of presentation.
K., R. and Boggarapu, N.R. (2019), "Expected range of the output response for the optimum input parameters utilizing the modified Taguchi approach", Multidiscipline Modeling in Materials and Structures, Vol. 15 No. 2, pp. 508-522. https://doi.org/10.1108/MMMS-05-2018-0088Download as .RIS
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