TY  - JOUR
T1  - Development and Simulation of 39 DOF Vehicle Model
TT  - Development and Simulation of 39 DOF Vehicle Model
AU  - Tunçdamar, Adem
PY  - 2021
DA  - November
DO  - 10.31590/ejosat.1010815
JF  - Avrupa Bilim ve Teknoloji Dergisi
JO  - EJOSAT
PB  - Osman SAĞDIÇ
WT  - DergiPark
SN  - 2148-2683
SP  - 743
EP  - 752
IS  - 28
LA  - en
AB  - In this study, a 39 degree-of-freedom mass-spring-damper model of a vehicle was developed. The model consists of 4 parts: wheels and suspensions, vehicle body, seats and passengers. A human model with 7 degrees of freedom was used to model the passengers. Equations of motion were obtained by drawing the free body diagram of each part. In order to solve the obtained equations of motion numerically, a model was created in the Simulink environment. To verify the accuracy of the outputs from the Simulink model, the script was written using the Python programming language. The developed model was tested by applying a road profile. Outputs from the Simulink model and test script are in agreement with each other and with the literature. Thanks to this study, the situations that affect passenger and driving comfort during vehicle design will be examined in detail with less experimentation.
KW  - Vehicle model
KW  - Simulink
KW  - Mathematical modelling
KW  - Passenger
KW  - 39 DOF
N2  - In this study, a 39 degree-of-freedom mass-spring-damper model of a vehicle was developed. The model consists of 4 parts: wheels and suspensions, vehicle body, seats, and passengers. A human model with 7 degrees of freedom was used to model the passengers. Equations of motion were obtained by drawing the free body diagram of each part. In order to solve the obtained equations of motion numerically, a model was created in the Simulink environment. To verify the accuracy of the outputs from the Simulink model, the script was written using the Python programming language. The developed model was tested by applying a road profile. Outputs from the Simulink model and test script are in agreement with each other and with the literature. Thanks to this study, the situations that affect passenger and driving comfort during vehicle design will be examined in detail with less experimentation.
CR  - Abbas, W. &.-A. (2010). Optimization of Biodynamic Seated Human Models Using Genetic Algorithms. Engineering 02. doi:10.4236/eng.2010.29092
CR  - Bowen L, V. J. (2019). Design and Potential Power Recovery of Two Types of Energy Harvesting Shock Absorbers. Energies 12. doi:https://doi.org/10.3390/en12244710
CR  - Goga, V. &. (2012). Optimization of Vehicle Suspension Parameters with use of Evolutionary Computation. Procedia Engineering 48, 174-179.
CR  - Hendrowati, W. (2012). Design, Modeling and Analysis of Implementing a Multilayer Piezoelectric Vibration Energy Harvesting Mechanism in the Vehicle Suspension. Engineering 04, 728-738.
CR  - Meng, R. &. (2014). Multiobjective Game Method Based on Self-Adaptive Space Division of Design Variables and Its Application to Vehicle Suspension. Mathematical Problems in Engineering, 1-13.
CR  - Palanichamy, M. P. (1978). D.N. Minimization of the vertical vibrations sustained by a tractor operator, by provision of a standard-type tractor seat suspension. Ann Biomed Eng 6, 138–153. doi:https://doi.org/10.1007/BF02584540
CR  - Rao, S. S. (1993). Mechanical Vibrations. Mass: Addison-Wesley.
UR  - https://doi.org/10.31590/ejosat.1010815
L1  - https://dergipark.org.tr/en/download/article-file/2030942
ER  -