A procedure for multi-objective optimization of tire design parameters

Korunović, Nikola; Madić, Miloš; Trajanović, Miroslav; Radovanović, Miroslav

doi:10.5267/j.ijiec.2014.11.003

Cited by 4 publications

(1 citation statement)

References 14 publications

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“…Yang et al [28] explored the application of various Artificial Neural Network (ANN) architectures within parametric studies in which belt angle, cord density, material properties, cord X-section and inflation pressure were varied. Korunovic et al [29] also described a procedure for multi-objective optimization of tyre design parameters based on Pareto concept where belt angle, cord spacing, and elasticity of tread compound were considered as input parameters and the goal was to simultaneously minimize strain energy density at belt edges and in bead area. These studies were useful to a limited extent, as tyre behaviour very much depends on carcass profile that dictates the shape of tyre cavity [14] as well as on other geometrical features, such as bead area shape, thread shape or belt width [11,30].…”

Section: Introductionmentioning

confidence: 99%

Tyre Design and Optimization by Dedicated CAD Tyre Model

et al. 2021

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Structural optimization by Finite Elements (FE) is proved very effective in tyre design. For that purpose, major tyre manufacturers use in-house applications. An alternative solution, involving dedicated CAD tyre model (DCTM), is here proposed. DCTM concept permits to easily change the FE tyre models, concerning shape and structure, by moving a part of pre-processing from FE analysis to CAD. No special skills regarding CAD or FEA are required. For every new tyre design, only a new DCTM and a corresponding FE model must be built. All subsequent model changes are automatically performed by mapping and translation routines. To test this concept, DTCM models of an existing tyre were created and used within a pilot design study.

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Section: Introductionmentioning

confidence: 99%

Tyre Design and Optimization by Dedicated CAD Tyre Model

et al. 2021

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Statistical Adjustment and Calibration of Complex Systems considering Multiple Outputs: Case Study of Laser-Assisted Micromachining Process

2020

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By rapid advancements in technologies, studying and simulating a real complex system taint with uncertain parameters is too demanding. Based on the relevant literature, there are three approaches to recognize and simulate different systems: engineering, statistical, and engineering-statistical approaches. Regarding the purpose of this research, the engineeringstatistical approach is applied. By considering the single output, Laser Assisted Micro-Machining (LAMM) is studied using the engineering-statistical approach. In the present study, * Corresponding Author; Vanak Sq., pardis, St., K. N. Toosi University; 2 an engineering-statistical approach is applied to LAMM, studying two outputs simultaneously. To investigate variates simultaneously, there are some complicated issues, such as calibrating variates at the same time, adjusting them concurrently, and calculating the values of parameters, with which this paper should cope. Considering the Mean Squared Prediction Error (MSPE) as the comparison index, for thrust force output, the index value was obtained as 1.48 by Kennedy and O'Hagan model, 2.47 by the model presented by Roshan and Yan, and 1.9425×10 -4 by the proposed model. Moreover, for cutting force output, the index was obtained as 0.21 by the Kennedy and O'Hagan, 1.41 by Roshan and Yan, and 1.6×10 -8 by the presented model. The obtained values demonstrate reasonable and comparable results for the MSPE index, compared with the models considering the outputs individually.

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A procedure for multi-objective optimization of tire design parameters

Korunović¹,

Madić²,

Trajanović³

et al. 2015

10.5267/j.ijiec

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The identification of optimal tire design parameters for satisfying different requirements, i.e. tire performance characteristics, plays an essential role in tire design. In order to improve tire performance characteristics, formulation and solving of multi-objective optimization problem must be performed. This paper presents a multi-objective optimization procedure for determination of optimal tire design parameters for simultaneous minimization of strain energy density at two distinctive zones inside the tire. It consists of four main stages: pre-analysis, design of experiment, mathematical modeling and multi-objective optimization. Advantage of the proposed procedure is reflected in the fact that multi-objective optimization is based on the Pareto concept, which enables design engineers to obtain a complete set of optimization solutions and choose a suitable tire design. Furthermore, modeling of the relationships between tire design parameters and objective functions based on multiple regression analysis minimizes computational and modeling effort. The adequacy of the proposed tire design multi-objective optimization procedure has been validated by performing experimental trials based on finite element method.

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A procedure for multi-objective optimization of tire design parameters

Cited by 4 publications

References 14 publications

Tyre Design and Optimization by Dedicated CAD Tyre Model

Tyre Design and Optimization by Dedicated CAD Tyre Model

Statistical Adjustment and Calibration of Complex Systems considering Multiple Outputs: Case Study of Laser-Assisted Micromachining Process

A procedure for multi-objective optimization of tire design parameters

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