Journal of South China University of Technology(Natural Science) >

2025 , Vol. 53 >Issue 12: 172 - 182

DOI: https://doi.org/10.12141/j.issn.1000-565X.250122

Materials Science & Technology

Rapid Prediction of Thermal Properties of Automotive Basalt Fiber Composites Based on Fitting Regression Function

  • WANG Tong ,
  • MA Yupeng ,
  • ZHAO Yang
Expand
  • 1.School of Automobile，Chang’an University，Xi’an 710021，Shaanxi，China
    2.School of Transportation Engineering，Chang’an University，Xi’an 710021，Shaanxi，China
王童（1988—），男，博士，副教授，主要从事车辆新材料与轻量化智慧设计研究。E-mail： wangtong@chd.edu.cn

Received date: 2025-04-23

  Online published: 2025-06-16

Supported by

the National Natural Science Foundation of China(52203350);Shaanxi Key R & D Program Project(2024GX-YBXM-176)

Fold

Abstract

The traditional process of new material development, heavily reliant on extensive experimentation and empirical knowledge, suffers from low efficiency, prolonged cycles, and high costs. Integrating efficient experimental techniques with rapid computational simulation and prediction through intelligent methods can significantly shorten the R&D and engineering application cycle while reducing costs. Chopped basalt fiber-reinforced polylactic acid (BF/PLA) composites, being naturally green, environmentally friendly, and biodegradable, represent an ideal alternative material for automotive interior and exterior components with considerable development potential. In order to study the influence of different fiber parameter ratios on the thermal properties of BF/PLA composites and facilitate rapid development of suitable automotive component materials, this study first conducted experiments on the thermal properties of BF/PLA composites under various fiber parameter ratios. Through data correlation analysis, the effects of different fiber parameter ratios on composite thermal properties were examined. Using F-values from three-factor ANOVA, a fiber parameter quasi-centralization method was proposed, establishing fitted regression functions between glass transition temperature/crystallinity and centralized variables. Based on these regression functions and polynomial guiding functions, new ratios of fiber mass fraction, diameter, and length parameters were incorporated to obtain centralized variables for glass transition temperature and crystallinity under the new parameter ratios. The glass transition temperature and crystallinity of BF/PLA composites with new parameter ratios can be obtained by fitting regression function, and the thermal properties of composites with more fiber para-meter ratios can be predicted by fitting regression function, and the determination coefficients are 0.887 0 and 0.855 1 respectively, with prediction accuracy within practically acceptable engineering ranges. Finite element analysis of thermal performance for a vehicle door inner panel demonstrated slightly superior thermal properties using the optimized composite material selected through the proposed method, along with significantly improved R&D efficiency, validating the effectiveness of the approach. This provides important theoretical guidance and methodological reference for rapid development, cost reduction, material substitution, and green design of future automotive composites.

Key words： basalt fiber; polylactic acid; fitting regression function; thermal property; inner panel of automobile door

Cite this article

WANG Tong , MA Yupeng , ZHAO Yang . Rapid Prediction of Thermal Properties of Automotive Basalt Fiber Composites Based on Fitting Regression Function[J]. Journal of South China University of Technology(Natural Science), 2025 , 53(12) : 172 -182 . DOI: 10.12141/j.issn.1000-565X.250122

References

[1] 王方 ．《美国材料基因组计划战略规划》要点解读会 ［J］．中国材料进展，2014，33（Z1）：567.
  WANG Fang ．Interpretation meeting on key points of the strategic plan for the materials genome project in the United States［J］．Materials China，2014，33（Z1）：567.
[2] 于灏 ．美国材料基因组计划最新进展跟踪［J］．新材料产业，2014（6）：8-9.
  YU Hao ．Tracking the latest progress of the materials genome project in the United States［J］．Advanced Materials Industry，2014（6）：8-9.
[3] 叶常琼 ．在新能源材料中材料基因组技术的应用与发展［J］．智库时代，2019（25）：264，266.
  YE Changqiong ．Application and development of material genome technology in new energy materials［J］．Think Tank Era，2019（25）：264，266.
[4] 吴苗苗，刘利民，韩雅芳 ．材料基因工程——材料设计、模拟及数据库的顶层设计［J］．今日科苑，2018（10）：53-58.
  WU Miaomiao， LIU Limin， HAN Yafang ．Material genetic engineering—top level design of materials design，simulation，and database［J］．Modern Science，2018 （10）：53-58.
[5] 《中国公路学报》编辑部 ．中国路面工程学术研究综述·2024［J］．中国公路学报，2024，37（3）：1-81.
  Editorial Department of China Journal of Highway and Transport ．Review on China’s pavement engineering research：2024［J］．China Journal of Highway and Transport，2024，37（3）：1-81.
[6] Grand View Research，Inc ．Carbon fiber reinforced thermoplastic composites market to be driven by increa-sing demand for lightweight materials in automobile production till 2025［Z］．［S.l.］：M2 Presswire，2017.
[7] MERIX K S， GIUS S， ROOWZ J，et al ．Development of eco-sustainable silica-reinforced natural hybrid polymer composites for automotive applications［J］．Advances in Materials Science and Engineering，2022，23（134）：779-798.
[8] Research Ecology ．Research conducted at Swiss Federal Laboratories for materials science and technology （EMPA） has updated our knowledge about ecology research［J］．Ecology Environment & Conservation，2016，3（12）：38-55.
[9] MAYYAS T A， MAYYAS A， QATTAWI A，et al ．Sustainable lightweight vehicle design：a case study of eco-material selection for body-in-white［J］．International Journal of Sustainable Manufacturing，2012，2（4）：317-337.
[10] BALAJI V K， SHIRVAN K， YADAV R，et al ．The synergy of the matrix modification and fiber geometry to enhance the thermo-mechanical properties of basalt fiber-polypropylene composites for automotive applications［J］．Journal of Applied Polymer Science，2021，65（238）：534-557.
[11] KLUAX V B， KAMYAR S， RAMDYAL Y，et al ．Hybrid hterophasic polypropylene composites with basalt fibers and magnesium oxysulfate reinforcements for sustainable automotive materials［J］．Journal of Materials Research and Technology，2024，28（12）：546-559.
[12] ALESSANDRO M， HUGO V T B， GIANCARLO A A，et al ．Performance comparison between glass and basalt fibre-reinforced composites for an automotive seat backrest［J］．Proceedings of the Institution of Mechanical Engineers，Part C：Journal of Mechanical Engineering Science，2022，236（24）：11389-11401.
[13] MINGXIA W， ZHIHENG M， YU F，et al ．Materials design，sensing performance and mechanism of anhydrous hydrogen fluoride gas sensor based on amino-functionalized MIL-101（Cr） for new energy vehicles ［J］．Coatings，2022，12（2）：260-270.
[14] LV S， HOU J， LIN Z，et al ．Carbon fibre reinforced plastic for smartness car body design，practice and simulation［J］．Proceedings of the Institution of Mechanical Engineers，Part C：Journal of Mechanical Engineering Science，2024，238（6）：1874-1886.
[15] HUANG G， HUANG F， DONG W ．Machine learning in energy storage material discovery and performance prediction［J］．Chemical Engineering Journal，2024，492（34）：152294-152325.
[16] DONG C S ．Numerical study of hybrid composites containing basalt fibres under flexural loading［J］．SN Applied Sciences，2019，1（4）：287/1-10.
[17] CERBU C， BOTIS M ．Numerical modeling of the flax/glass/epoxy hybrid composite materials in bending［J］．Procedia Engineering，2017，181：308-315.
[18] BEIGPOUR R， SHOKROLLAHI H， KHALILI S M R ．Experimental and uumerical analysis of a biodegradable hybrid composite under tensile and three-point bending tests［J］．Composite Structures，2021，273：1142-1165.
[19] BANDARU A K， PATEL S， SACHAN Y，et al ．Mechanical behavior of Kevlar/basalt reinforced polypropylene composites［J］．Composites Part A：Applied Science and Manufacturing，2016，90：642-652.
[20] KALANTARI M， DONG C， DAVIES I J ．Effect of matrix voids，fiber misalignment and thickness variation on multi-objective robust optimization of carbon/glass fibre-reinforced hybrid composites under flexural loading［J］．Composites Part B：Engineering，2017，123：136-147.
[21] WU J Q， ZHONG Z L ．The potential applications of basalt fiber in automotive industry［J］．Technical Textiles，2012，30（4）：26-28.
[22] OZTURK B， ARSLAN F， OZTURK S ．Hot wear properties of ceramic and basalt fiber reinforced hybrid friction materials［J］．Tribology International，2007，40（1）：37-48.
[23] ASHRAFIAN A， TAHERI A M J， REZAIE-BALF M，et al ．Prediction of compressive strength and ultrasonic pulse velocity of fiber reinforced concrete incorporating nano silica using heuristic regression methods［J］．Construction and Building Materials，2018，190：479-494.
[24] CUNNINGHAM P， CAMEY J， JACOB S ．Stability problems with artificial neural networks and the ensemble solution［J］．Artificial Intelligence in Medicine，2000，20（3）：217-225.
Options
Outlines

/

〈 〉