Reliability-based optimization design of carbon fiber reinforced plastics crossbeam of twist-beam suspension

Sun, Tao; Jiang, Rongchao; Liu, Yue; Liu, Dawei; Sun, Hongyu

doi:10.1007/s12206-023-0116-3

Cited by 5 publications

(3 citation statements)

References 30 publications

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“…By exploring the possibilities of reliability-driven optimization design [1][2][3][4][5], we can acknowledge the immense potential of combining various existing design approaches to achieve the best reliability requirements for mechanical structures.…”

Section: Introductionmentioning

confidence: 99%

Optimization of reliability and sensitivity analysis for flange structures

Gong,

Feng

2024

J. Phys.: Conf. Ser.

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The study delves into the reliability-driven optimization design of the flanges, drawing from reliability design theory, advanced optimization methodologies, and comprehensive sensitivity analysis. Flanges, integral to mechanical systems, demand precise design. Reliability design theory emphasizes consistent operation under diverse conditions. A novel approach to the flange-specific reliability sensitivity analysis method is central to this research. It promises to revolutionize flange design. By understanding the first two moments of core random parameters, we expedite reliability-driven optimization designs for mechanical connections. The programs enhance our approach, streamlining the pursuit of reliability-driven designs and providing rapid, accurate sensitivity analysis data for mechanical connections. This data offers critical insights into parameter influence, enabling targeted design adjustments. In summary, this research represents a significant advancement in mechanical engineering. By integrating reliability design theory with cutting-edge methodologies, it promises to enhance the quality and reliability of mechanical connections, meeting the rigorous demands of contemporary engineering applications. This holistic approach will play a pivotal role in the future of mechanical component design.

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Section: Introductionmentioning

confidence: 99%

Optimization of reliability and sensitivity analysis for flange structures

Gong,

Feng

2024

J. Phys.: Conf. Ser.

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“…Vehicle lightweighting increases fuel economy on the basis of vehicle weight reduction [ 6 , 7 ]. Due to the increasingly strict legal requirements on fuel economy and emission standards, more car companies focus on the research and development of new energy vehicles.…”

Section: Introductionmentioning

confidence: 99%

Research on the characteristics of EV interior sound quality and its dynamic active control system design and development un-der accelerated driving conditions

Zhang,

Li,

Jiang

et al. 2024

PLoS ONE

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In order to improve the interior sound quality of Electric Vehicles (EV), solve the problem of low sense of power and comfort of the interior sound as well as the large electromagnetic excitation order noise of motor and the sharp interior sound, this article designs a dynamic active sound control system for EV under accelerated driving conditions. Firstly, by comparing and analyzing the sound spectrum characteristics of fuel vehicle (FV) and EV during acceleration, a short-time Fourier transform (STFT) is adopted to extract and synthesize the engine sound. Secondly, the influence of the engine order composition and the energy distribution in the frequency domain on the sound quality of the vehicle is analyzed, and an active control system for sound quality is proposed. And the software and hardware development of the active control sound system is completed. Finally, through real-vehicle testing and verification, the sense of comfort and power of the EV interior sound has been greatly improved during acceleration, and the total value of interior sound can meet the requirement. The sound pressure level and loudness of interior sound have been increased, and the sharpness of the sound inside the vehicle has been improved, with a maximum reduction of 1.0acum.

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“…The optimization results show that the beam mass is reduced by 59.85%, while ensuring quality and reliability. Sun et al 24 replaced the original steel cross beams of the passenger car torsion beam rear axle with CFRP and optimized the layup sequence of the CFRP crossbeams. They proposed an optimization method combining the CFRP structure's layup sequence optimization with multiscale reliability optimization.…”

Section: Introductionmentioning

confidence: 99%

Research on the lightweight design and multilevel optimization method of B‐pillar of hybrid material based on side‐impact safety and multicriteria decision‐making

Zhang,

Lu,

Huang

et al. 2023

Polymer Composites

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This paper designs and optimizes a new structure hybrid material B‐pillar assembly. Establish a finite element analysis model for the side impact test of an electric vehicle to verify the model's accuracy. Construct a finite element model of the hybrid material B‐pillar assembly. Combined with the static performance analysis of the B‐pillar, the laminate design of the carbon fiber composite B‐pillar reinforcement plate and optimization. For the outer and inner panels of the B‐pillar, the surrogate model method and the multiobjective optimization method are combined to set 11 design variables and 13 responses. The optimal Latin hypercube design method was used to randomly sample each design variable and fit the radial basis function (RBF) approximate model. The modified second‐generation non‐dominated sorting genetic algorithm (MNSGA‐II) was used to carry out multiobjective optimization of the mixed material B‐pillar assembly, and the multicriteria decision‐making method was used to obtain the optimal solution for the Pareto solution set. A drop weight impact test was performed on the hybrid material B‐pillar assembly. The results showed that the peak collision force of the hybrid material B‐pillar was reduced by 43.7% compared with the original steel B‐pillar, the specific energy absorption was increased by 17.5%, and the side impact safety performance was better. After optimization, the weight of the mixed material B‐column was reduced by 26.44%. The improvement rates of the intrusion amount at P2 and the intrusion speed at P1 were 23.99% and 0.63%, respectively, and the lightweight effect and side impact safety were significantly improved.Highlights The finite element analysis parameters of carbon fiber composite materials were constructed through experiments, and the basis for simulation analysis under various working conditions of the B‐pillar based on performance‐driven optimization was established. A hybrid material B‐pillar design method is proposed, which consists of a variable‐thickness high‐strength steel B‐pillar outer plate, a variable‐thickness high‐strength steel B‐pillar inner plate, and a carbon fiber composite B‐pillar reinforcement plate. The super layer of the carbon fiber composite B‐pillar reinforcement plate was optimized and the laying plan of the carbon fiber composite B‐pillar reinforcement plate was determined. Performance‐driven optimization is adopted to realize the collaboration of multilevel design and optimization methods such as B‐pillar conceptual design, detailed design, and multiobjective optimization. A modified NSGA‐II algorithm was proposed and combined with the multicriteria decision‐making method and the entropy‐weighted gray relation analysis method to determine the Pareto optimal solution and the optimal design scheme for the mixed material B‐pillar.

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Reliability-based optimization design of carbon fiber reinforced plastics crossbeam of twist-beam suspension

Cited by 5 publications

References 30 publications

Optimization of reliability and sensitivity analysis for flange structures

Optimization of reliability and sensitivity analysis for flange structures

Research on the characteristics of EV interior sound quality and its dynamic active control system design and development un-der accelerated driving conditions

Research on the lightweight design and multilevel optimization method of B‐pillar of hybrid material based on side‐impact safety and multicriteria decision‐making

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