Two-Mode Operation Engine Mount Design for Automotive Applications

Tikani, Reza; Vahdati, Nader; Ziaei-Rad, Saeed

doi:10.1155/2012/651591

Cited by 8 publications

(8 citation statements)

References 22 publications

(34 reference statements)

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“…According to the results presented in Figure 6, the three formulas for every mode of deflections present an approach very close to the experimental results. In the radial stiffness curve, there is a discrepancy between the theoretical and experimental data for bushings with length greater than 2.5 cm; this deviation occurs due to the elastomer debonding [10]. Adkins and Gent [20] mention that maximum deflection during the experiments was about 0.1 cm, so in this case, longer bushes would become overstressed.…”

Section: Validation Of the Stiffness Formulationmentioning

confidence: 96%

“…Xu et al [9], based on the genetic algorithm and the fusion robustness analysis, performed an optimization of the stiffness of a powertrain mounting system in 6 DOF. Tikani et al [10] proposed a new hydraulic engine mount with controllable inertia track profile. Optimum values of rubber length and diameter for a typical 4-cylinder car were obtained with a genetic optimization algorithm.Özcan et al [11] performed an SQP optimization using MATLAB to find the optimum spring and damper characteristics of a quarter and a half of a vehicle model.…”

Section: Introductionmentioning

confidence: 99%

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Analytical Design and Optimization of an Automotive Rubber Bushing

Rivas-Torres

Tudón-Martínez

Lozoya-Santos

et al. 2019

Shock and Vibration

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The ride comfort, driving safety, and handling of the vehicle should be designed and tuned to achieve the expectations defined in the company’s design. The ideal method of tuning the characteristics of the vehicle is to modify the bushings and mounts used in the chassis system. To deal with the noise, vibration and harshness on automobiles, elastomeric materials in mounts and bushings are determinant in the automotive components design, particularly those related to the suspension system. For most designs, stiffness is a key design parameter. Determination of stiffness is often necessary in order to ensure that excessive forces or deflections do not occur. Many companies use trial and error method to meet the requirements of stiffness curves. Optimization algorithms are an effective solution to this type of design problems. This paper presents a simulation-based methodology to design an automotive bushing with specific characteristic curves. Using an optimum design formulation, a mathematical model is proposed to design and then optimize structural parameters using a genetic algorithm. To validate the resulting data, a finite element analysis (FEA) is carried out with the optimized values. At the end, results between optimization, FEA, and characteristic curves are compared and discussed to establish the correlation among them.

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Section: Validation Of the Stiffness Formulationmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

Analytical Design and Optimization of an Automotive Rubber Bushing

Rivas-Torres

Tudón-Martínez

Lozoya-Santos

et al. 2019

Shock and Vibration

View full text Add to dashboard Cite

show abstract

“…Engine mounts are usually installed between the engine and vehicle frame. They are used for isolating the engine's vibration, which would spread to the vehicle body, and reducing the vibration amplitude of the engine itself (Shangguan, 2009;Tikani et al, 2015). An ideal engine mount should exhibit a low damping property when the engine is at high revolution speed, and it should be quickly changed to a high damping state when the engine revolution speed is low (Barber and Carlson, 2010).…”

Section: Introductionmentioning

confidence: 99%

“…First, the lumped parameter method generally adopts bond group theory to describe the relationship of the system's dynamic stiffness and lagging angle with the internal structural parameters of mounts (Farjoud et al, 2014;Tikani et al, 2015). Because the lumped parameter method is based on a linear viscoelastic system, there is great difference between the calculation model and the final testing results.…”

Section: Introductionmentioning

confidence: 99%

Parametric Modeling of a Magnetorheological Engine Mount Based on a Modified Polynomial Bingham Model

Chen

et al. 2019

Front. Mater.

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This work mainly addresses the establishment of a phenomenological mechanical model for magnetorheological (MR) engine mounts under frequency variation and magnetic variation effects. First, the mounts' reaction force is divided into three parts: a Coulomb damping force, an elastic reaction force, and a viscous damping force. Then, by using correlation analysis on these forces with the frequency and magnetic field, a modified polynomial Bingham parameterized model is proposed. This model takes external current and external loading frequency as the variables. As a result of analyzing the relationship between energy dissipation and storage caused by the external displacement excitation, an identifying method is proposed to identify the nine parameters in the model. Based on this model, an experimental scheme was designed, and the force-displacement relationship of a typical MR mount under different working conditions was tested through an experiment. By using the proposed method, the relationship of the reaction force of an MR mount with current and external loading frequency was obtained. The experimental results show that the proposed model can correctly reflect the wide-frequency dynamic characteristics of the mounts in dynamic stiffness, lagging angle, and hysteretic curve.

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“…1 Active control engine mounts (ACMs) optimally dampen and isolate the vibrations, noises, and movements generated by a car's engine in different operating modes. Due to the hydraulic engine mount's inherent reliability in performance and adaptability to new designs, many researchers consider the hydraulic engine mount (HEM) 2 3 and a current shape control has been discussed in a Maxwell force type actuator for better control. 4 A linear oscillatory actuator using DC motor was developed for active engine mount in Kobayashi et al 5 Various control algorithms have been employed for ACMs.…”

Section: Introductionmentioning

confidence: 99%

Extended filtered-x-least-mean-squares algorithm for an active control engine mount based on acceleration error signal

Guo

Wei

Gao

2017

Advances in Mechanical Engineering

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Active control engine mounts notably contribute to ensuring superior effectiveness in vibration suppression. The filtered-x-least-mean-squares algorithm, as a benchmark, is widely implemented for cancelation of disturbing engine vibrations. Such an algorithm requires an accurate secondary path estimate to ensure better performance. This study illustrates that incorporating body input point inertance to the active control engine mount model is necessary when accelerometers are utilized in most practical applications. Secondary path estimation errors caused by neglecting body input point inertance are pointed out via the secondary path modeling mismatch theory. Furthermore, the active control engine mount control system is evolved to fit the acceleration transducer applications. On the basis of the improved active control engine mount control system, a novel extended filtered-x-least-mean-squares algorithm based on the acceleration error signal is proposed to adapt to the extended control system. In the end, severe control collapse of secondary path estimation errors caused by neglecting body input point inertance is verified through simulation. Simulated results are presented to validate the performance of the extended filtered-x-least-mean-squares algorithm based on the acceleration error signal. The study demonstrates that the algorithm produces results showing effective vibration isolation. KeywordsActive control engine mount, body input point inertance, secondary path modeling mismatch, extended filtered-x-leastmean-squares algorithm, acceleration error signal Date

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Two-Mode Operation Engine Mount Design for Automotive Applications

Cited by 8 publications

References 22 publications

Analytical Design and Optimization of an Automotive Rubber Bushing

Analytical Design and Optimization of an Automotive Rubber Bushing

Parametric Modeling of a Magnetorheological Engine Mount Based on a Modified Polynomial Bingham Model

Extended filtered-x-least-mean-squares algorithm for an active control engine mount based on acceleration error signal

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