Artificial Neural Network Prediction of the Optimal Setup Parameters of a Seven Degrees of Freedom Mathematical Model of a Race Car: IndyCar Case Study

D’Andrea, Danilo; Risitano, Giacomo; Desiderio, Ernesto; Quintarelli, Andrea; Milone, Dario; Alberti, Fabio

doi:10.3390/vehicles3020019

Cited by 5 publications

(3 citation statements)

References 16 publications

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“…Bhawe et al [25] have analyzed how the combination of UHMWPE, CoCrMo alloy, and Ti-6Al-4 V alloy affect the femoral head sizes from 24 mm to 48 mm to know the best size using the Finite Element Method (FEM). This work aims to evaluate the best materials for prosthetic surgery from a tribological and mechanical point of view by using a machine-learning [26] algorithm coupled with a multi-body model of a human body and Finite Element Method (FEM) simulations. The innovative aspect is represented by the use of machine learning, which allows the identification of the marker motion of a humanoid model developed in a multibody software environment.…”

Section: And 30 N) and Five Different Bio-lubricantsmentioning

confidence: 99%

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A New Approach for the Tribological and Mechanical Characterization of a Hip Prosthesis Trough a Numerical Model Based on Artificial Intelligence Algorithms and Humanoid Multibody Model

et al. 2022

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In recent years, thanks to the development of additive manufacturing techniques, pros-thetic surgery has reached increasingly cutting-edge levels, revolutionizing the clinical course of patients suffering from joint arthritis, rheumatoid arthritis, post-traumatic arthrosis, etc. This work aims to evaluate the best materials for prosthetic surgery in hip implants from a tribological and mechanical point of view by using a machine-learning algorithm coupling with multi-body modeling and Finite Element Method (FEM) simulations. The innovative aspect is represented by the use of machine learning for the creation of a humanoid model in a multibody software environment that aimed to evaluate the load and rotation condition at the hip joint. After the boundary conditions have been defined, a Finite Element (FE) model of the hip implant has been created. The material properties and the information on the tribological behavior of the material couplings under investigation have been obtained from literature studies. The wear process has been investigated through the implementation of the Archard’s wear law in the FE model. The results of the FE simulation show that the best wear behavior has been obtained by CoCr alloy/UHMWPE coupling with a volume loss due to a wear of 0.004 μm3 at the end of the simulation of ten sitting cycles. After the best pairs in terms of wear has been established, a topology optimization of the whole hip implant structure has been performed. The results show that, after the optimization process, it was possible to reduce implant mass making the implant 28.12% more lightweight with respect to the original one.

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Section: And 30 N) and Five Different Bio-lubricantsmentioning

confidence: 99%

“…The development of human models increased with the necessity to understand the biomechanics of movements and their consequences on human comfort [25][26][27][28]. These models are always used to simulate prosthetic design's influence on the human system [29][30][31][32][33][34].…”

Section: Numerical Modelingmentioning

confidence: 99%

A New Approach for the Tribological and Mechanical Characterization of a Hip Prosthesis Trough a Numerical Model Based on Artificial Intelligence Algorithms and Humanoid Multibody Model

et al. 2022

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“…Finally, the vehicle speed is matched with a reference speed (drive cycle) through a control system acting on the throttle/brake pedal position. In addition to the mathematical modelling, the increasing usage of machine learning and neural network algorithms [25][26][27][28][29] has led to new vehicle control and design strategies [30]. An important aspect to investigate is the stress state acting on the mechanical components when the vehicle is hybridized, starting from a conventional configuration i.e., only with the ICE engine propulsion.…”

Section: Introductionmentioning

confidence: 99%

Smart Design: Application of an Automatic New Methodology for the Energy Assessment and Redesign of Hybrid Electric Vehicle Mechanical Components

et al. 2022

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This work aimed to develop an automatic new methodology based on establishing if a mechanical component, designed for a conventional propulsion system, is also suitable for hybrid electric propulsion. Change in propulsion system leads to different power delivery and vehicle dynamics, which will be reflected in different load conditions acting on the mechanical components. It has been shown that a workflow based on numerical simulations and experimental tests represents a valid approach for the evaluation of the cumulative fatigue damage of a mechanical component. In this work, the front half-shaft of a road car was analyzed. Starting from the acquisition of a speed profile and the definition of a reference vehicle, in terms of geometry and transmission, a numerical model, based on longitudinal vehicle dynamics, was developed for both conventional and hybrid electric transmission. After the validation of the model, the cumulative fatigue damage of the front half-shaft was evaluated. The new design methodology is agile and light; it has been dubbed “Smart Design”. The results show that changing propulsion led to greater fatigue damage, reducing the fatigue life component by 90%. Hence, it is necessary to redesign the mechanical component to make it also suitable for hybrid electric propulsion.

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Active suspension control of light motored vehicles using PID and neural controllers

Kharola,

Mishra,

Rahul

et al. 2024

International Conference on Recent Trends in Composite Sciences With Computational Analysis

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Artificial Neural Network Prediction of the Optimal Setup Parameters of a Seven Degrees of Freedom Mathematical Model of a Race Car: IndyCar Case Study

Cited by 5 publications

References 16 publications

A New Approach for the Tribological and Mechanical Characterization of a Hip Prosthesis Trough a Numerical Model Based on Artificial Intelligence Algorithms and Humanoid Multibody Model

A New Approach for the Tribological and Mechanical Characterization of a Hip Prosthesis Trough a Numerical Model Based on Artificial Intelligence Algorithms and Humanoid Multibody Model

Smart Design: Application of an Automatic New Methodology for the Energy Assessment and Redesign of Hybrid Electric Vehicle Mechanical Components

Active suspension control of light motored vehicles using PID and neural controllers

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