Studies on modal analysis of aluminium based carbon fibre reinforced optimized alloy wheel used in automotive sectors

Somayaji, Ananthakrishna; Marakala, Narasimha; Somayaji, Shashiraj; Hebbale, Ajit M.

doi:10.1016/j.matpr.2021.08.099

Cited by 5 publications

(5 citation statements)

References 13 publications

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“…After that, in order to improve upon the earlier estimates for wheel expansion pressure, we gave consideration to the impact of the stress value range that we discovered using analysis. This research attempts to estimate, via the use of the FEA methodology, how much weight can be cut from the existing design of wheels by analysing how much space may be saved (Shinde et al 2022;Somayaji et al 2022). Padmanabhan et al (2024) https://www.malque.pub/ojs/index.php/msj…”

Section: Resultsmentioning

confidence: 99%

“…In this work, the investigation was on the structural soundness of current wheels and compute the stresses within them by use of finite element modelling and solution techniques. The accounted for the impact of the stress value range we acquired from Finite Element Analysis (FEA) to derive more precise estimates of the pressure needed to cause the wheel to expand (Padmanabhan et al 2010;Joel et al 2021;Somayaji et al 2022). The purpose of the research is to find, with the use of finite element analysis ways in which the existing wheels-over design might be made easier to implement.…”

Section: Introductionmentioning

confidence: 99%

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Investigation of alloy materials on a sports bike wheel rim designs using finite element analysis

Padmanabhan,

Boopathi,

Kumar

et al. 2023

Multidiscip. Sci. J.

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Investigators are dedicating more work to the creation of lightweight vehicles as a result of the rising emphasis placed by the automotive industry on energy efficiency and environmental responsibility. While developing a wheel, it is important to keep both technology and safety considerations in mind simultaneously. Alloy materials are commonly used in the design of sports bike wheel rims due to their lightweight, strength, and durability. The ultimate goal of this study is to lay the groundwork for coming up with new designs for wheels and spokes that can be used on sports bike. In this work, it would be possible to compare how alloys of magnesium and titanium respond to stress and strain compared to structural steel materials. Using an equivalent stress and deformation investigation, two modern designs of wheel spokes for the sports bikes and three materials were compared. This study makes some insightful projections about the reliability of the structural design and provides useful references for the manufacture of alloy wheels. According to the stress analysis, the Ti alloy produces a stress concentration that is about 0.5% lower than on Model A and around 1% lower value for stainless steel on the Model B wheel rim design. Mg alloy has a deflection of about 77% and 53% more than stainless steel and titanium alloy, respectively, in the construction of the model A and B wheel rim.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Investigation of alloy materials on a sports bike wheel rim designs using finite element analysis

Padmanabhan,

Boopathi,

Kumar

et al. 2023

Multidiscip. Sci. J.

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“…The single-piece constructions can be realized as a cast from a mold or machined from solid material. The standard design of the multi-piece wheel rim includes the use of different materials, such as various types of steels, aluminum and magnesium alloys, and glass or carbon fiber components used for metal reinforcement [4]. As the density of steel is almost 2.5 times that of aluminum, automotive wheel rims made of these materials behave differently in use.…”

Section: Introductionmentioning

confidence: 99%

Steel Automotive Wheel Rims—Data Fusion for the Precise Identification of the Technical Condition and Indication of the Approaching End of Service Life

Borecki,

Rychlik,

Zan

et al. 2024

Materials

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Steel automotive wheel rims are subject to wear and tear, down to the end of their service life. Manufacturers use standard destructive tests to determine the probable lifetime of the car wheel rim. With this approach, to predict the remaining use time, it is necessary to know the initial parameters of the wheel rim, actual mileage, and its use characteristics, which is difficult information to obtain in the real world. Moreover, this work shows that a vehicle’s technical condition can affect the rim’s remaining service time. This work describes a new method of precise binary identification of the technical condition of steel car wheel rims using the dispersion of damping factors which result from experimental modal analysis. This work also proposes a new method of indicating the approaching end of wheel rim service life with limited parameters: run-out, average of damping factors, and dispersion of damping factors. The proposed procedure requires two sequential examinations of the rim in standard periods related to the average annual mileage of the vehicle. On this basis, it is possible to indicate the approaching end of the life of the steel rims about 10,000 km in advance.

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“…1 In recent years, research on wheels has focused on wheel modal properties and weight to improve vehicle performance. [2][3][4][5][6] The alloy wheel rim is often used for lightweight wheel design. In this study, an approach is presented for the lightweight design of alloy wheel rims.…”

Section: Introductionmentioning

confidence: 99%

“…Maye´n et al 11 used the multiple linear regression (MLR) method to analyze the microstructure of an Al 6061 T6 alloy and predicted the effects of stress concentration on crack growth. Somayaji et al 5 performed a modal analysis on different material options to compare the first ten natural frequencies, and concluded that the AL7079 + 8% reinforced with carbon fiber material exhibited the best performance in modal analysis.…”

Section: Introductionmentioning

confidence: 99%

Predictions of the design decisions for vehicle alloy wheel rims using neural network

Topaloğlu

Kaya

Öztürk

2022

Proceedings of the Institution of Mechanical Engineers, Part D:

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The weight and modal performance of the vehicle wheels are two essential factors that affect the driving comfort of a vehicle. The main objective of this study is to present an efficient approach to reduce the weight and enhance the modal performance of the wheel by reducing the design time and computational cost. The alloy wheel rim is often used for lightweight wheel design. In this study, an approach is presented for the lightweight design of alloy wheel rims. An intelligent approach based on neural networks (NNs) is introduced to predict the optimum design parameters of the wheel rim during the wheel design phase and to improve the wheel optimization process. The Latin hypercube and Hammersley designs of the experimental methods were used to obtain a training dataset with finite element analysis. The NN and multiple linear regression (MLR) models were trained to predict the weight, first-mode frequency, and displacement values. A multi-objective genetic algorithm was employed to optimize the design decisions based on the predicted values. It was used to compute the optimum results with both the NN and MLR models for a better prediction accuracy of the wheel rim design parameters. The proposed approach allows designers to optimize design decisions and evaluate design modifications during the early stages of the wheel development phase. The surrogate-based optimization method plays an important role in the wheel rim optimization process, particularly when the optimization model is established based on computationally expensive finite element simulations, testing, and prototypes. The results show the effectiveness of the NN-combined genetic optimization approach in predicting the responses and optimizing the design decisions for the alloy wheel rim design by reducing engineering time and computational cost.

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Studies on modal analysis of aluminium based carbon fibre reinforced optimized alloy wheel used in automotive sectors

Cited by 5 publications

References 13 publications

Investigation of alloy materials on a sports bike wheel rim designs using finite element analysis

Investigation of alloy materials on a sports bike wheel rim designs using finite element analysis

Steel Automotive Wheel Rims—Data Fusion for the Precise Identification of the Technical Condition and Indication of the Approaching End of Service Life

Predictions of the design decisions for vehicle alloy wheel rims using neural network

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