Title: Adoption of artificial neural network technique to optimise the whole-body vibration

Authors: Chander Prakash; Lakhwinder Pal Singh; Ajay Gupta

Addresses: Department of Industrial and Production Engineering, Dr. B.R. Ambedkar National Institute of Technology, Jalandhar, Punjab, 144027, India ' Department of Industrial and Production Engineering, Dr. B.R. Ambedkar National Institute of Technology, Jalandhar, Punjab, 144027, India ' Department of Industrial and Production Engineering, Dr. B.R. Ambedkar National Institute of Technology, Jalandhar, Punjab, 144027, India

Abstract: In the present study, an investigation of the WBV response (static equivalent compression dose-S_ed) is performed with varying the speed of a tractor (2.78, 3.89, 5.00 m/s) and different road surfaces (brick, farm, and tar road) among the three different BMI categories (25.4, 32.6, and 35.3 kg/m²). Taguchi L₂₇ design has been adopted to arrange the sequence of the experiment. In the results, the WBV rises with increasing tractor speed and decreases with increasing body mass index (BMI). Also, WBV is higher on the tar surface, following the brick and farm road. Moreover, the artificial neural network (ANN) prediction model is applied to predict the values of the models and found favourable results with the minimum relative error, i.e., for the training dataset, 3.05%, and the testing dataset, 3.72%. This study suggested that the current model is acceptable for predicting the response for the same inputs.

Keywords: agriculture tractor; artificial neural network; ANN; human health; safety; optimisation; whole body vibration.

DOI: 10.1504/IJVP.2024.140039

International Journal of Vehicle Performance, 2024 Vol.10 No.3, pp.268 - 285

Received: 27 Jun 2023
Accepted: 18 Dec 2023
Published online: 15 Jul 2024 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article