| Issue |
E3S Web Conf.
Volume 399, 2023
International Conference on Newer Engineering Concepts and Technology (ICONNECT-2023)
|
|
|---|---|---|
| Article Number | 04004 | |
| Number of page(s) | 8 | |
| Section | Computer Science | |
| DOI | https://doi.org/10.1051/e3sconf/202339904004 | |
| Published online | 12 July 2023 | |
Taguchi Analysis of Walking Pathway for Power Optimization
1,2 Department of Mechatronics Engineering, Manipal University Jaipur, 303007, Rajasthan
1 Département of IoT, School of Computer Science, VIT Vellore, 623014, Tamil Nadu, India
3 Department of Mechanical Engineering, ASET, Amity University Jaipur
The optimization of power for sustainable resources become very crucial factor now a days due to increase the demand of energy. This paper presents the PZT tile power optimization with respect to subject weight and sensor quantity and mechanical and electrical characteristic of sensor. The most efficient combination of components and levels is thus predicted, and the results are analysed using ANOVA and Taguchi’s statistical optimization technique. The analysis predicts that the PZT Tile produced more output for the rigidity 44.97%, subject weight 30.09%, frequency contribution 12.39%, and sensor number 3.35%. The contribution of weight and rigidity influence the output responses. It also provides descriptions of the other combination of parameters that are feasible. In this study, R-sq. is discovered to be larger than 90%, i.e., 91.185% for voltage; hence, the model is suitable. Finally, the Taguchi optimization method can be utilised to forecast the ideal power incorporation factor to maximize the power according to the application of PZT walking tile.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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