Lightweight Concept Design of an Economical Multi-Material Vehicle Door with Fiber-Reinforced Thermoplastics

Fang, Xiangfan; Li, Danshi

doi:10.1007/s12239-023-0060-3

Cited by 3 publications

(2 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Noise pollution is now widely recognized as a significant challenge to quality of life [34], particularly in urban areas worldwide. Statistics indicate that approximately 20% of the population within the European Union experiences daily life in environments characterized by traffic-related noise levels [35] that exceed thresholds considered harmful to health.…”

Section: Applicationmentioning

confidence: 99%

Quantitative analysis of predictors of acoustic materials for noise reduction as sustainable strategies for materials in the automotive industry

Gabor,

Blaga,

Caseriu

2024

Preprint

View full text Add to dashboard Cite

This study proposes a qualitative analysis to identify the best predictors for ensuring passive noise control, aiming to achieve superior acoustic comfort in transportation systems. The study is based on real experimental data on materials from six different classes and employs a multidisciplinary approach, including Mann‒Whitney U tests, Kruskal‒Wallis analysis with Dunn's post hoc multiple comparisons, and multilinear regression. This research presents an analysis and evaluation of how the physical properties of various materials influence acoustic comfort, acoustic absorption class, and absorption class performance and proposes quantitative models for material selection to address sustainable strategies in the automotive industry. The results highlight significant differences between material categories in terms of acoustic absorption properties and demonstrate the importance of rigorous material selection in vehicle design to enhance acoustic comfort. Additionally, the research contributes to the development of predictive models that estimate acoustic performance based on the physical properties of materials, providing a basis for optimizing material selection in the design phase.

show abstract

Section: Applicationmentioning

confidence: 99%

Quantitative analysis of predictors of acoustic materials for noise reduction as sustainable strategies for materials in the automotive industry

Gabor,

Blaga,

Caseriu

2024

Preprint

View full text Add to dashboard Cite

show abstract

“…Wu et al [14] conducted a discrete optimization of the CFRP layup for the back door, achieving a more rational optimal solution compared to commercial software. Fang and Li [15] employed fiber-reinforced thermoplastic in the lightweight conceptual design of a multi-material car door, successfully achieving a 20% reduction in weight. An important feature of CFRP is the ability to shape its microstructure during the manufacturing process by selecting the type of components (i.e., reinforcement and matrix), the number and orientation of layers [16,17].…”

Section: Introductionmentioning

confidence: 99%

Material-Structure Integrated Design and Optimization of a Carbon-Fiber-Reinforced Composite Car Door

Zhang,

Sun,

Zhi

et al. 2024

Applied Sciences

View full text Add to dashboard Cite

This paper develops a material-structure integrated design and optimization method based on a multiscale approach for the lightweight design of CFRP car doors. Initially, parametric modeling of RVE is implemented, and their elastic performance parameters are predicted using the homogenization theory based on thermal stress, exploring the impact of RVE parameters on composite material performance. Subsequently, a finite element model of the CFRP car door is constructed based on the principle of equal stiffness, and a parameter transfer across microscale, mesoscale, and macroscale levels is achieved through Python programming. Finally, the particle generation and updating strategies in the Multi-Objective Particle Swarm Optimization (MOPSO) algorithm are improved, enabling the algorithm to directly solve multi-constraint and multi-objective optimization problems that include various composite material layup process constraints. Case study results demonstrate that under layup process constraints and car door stiffness requirements, plain weave, twill weave, and satin weave composite car doors achieve weight reductions of 15.85%, 14.54%, and 15.35%, respectively, compared to traditional metal doors, fulfilling the requirements for a lightweight design. This also provides guidance for the lightweight design of other vehicle body components.

show abstract

Türen und Klappen

Fang

2023

Karosserieentwicklung Und -Leichtbau

View full text Add to dashboard Cite

Lightweight Concept Design of an Economical Multi-Material Vehicle Door with Fiber-Reinforced Thermoplastics

Cited by 3 publications

References 12 publications

Quantitative analysis of predictors of acoustic materials for noise reduction as sustainable strategies for materials in the automotive industry

Quantitative analysis of predictors of acoustic materials for noise reduction as sustainable strategies for materials in the automotive industry

Material-Structure Integrated Design and Optimization of a Carbon-Fiber-Reinforced Composite Car Door

Türen und Klappen

Contact Info

Product

Resources

About