轻量化材料在现代运输车辆中的作用

Q3 Engineering

Diagnostyka Pub Date : 2022-10-19 DOI:10.29354/diag/155850

Ł. Wierzbicki, J. Ćwiek

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引用次数: 1

摘要

高分子材料及其复合材料在汽车领域的应用在过去的30年里经历了真正的繁荣，其应用正在增加，并有进一步增长的趋势。无论是火车、飞机还是汽车，对现代汽车工业的要求都是具有挑战性的——用户想要高性能的汽车，但同时他们也在寻求更高的可靠性和安全性、更大的舒适性和更低的价格。在制造新车时，将轻质材料的比例改为钢材，有助于使汽车更轻，燃油或电能效率更高，从而减少温室气体排放。有一类材料正在应对这些潜在的冲突需求的挑战:聚合物材料。这包括相对纯的化学材料以及纤维填充的聚合物复合材料本文介绍了目前用于生产汽车零部件的聚合物材料

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The role of lightweight materials in modern transport vehicles

Polymeric materials and their composites in vehicles have experienced a real boom in the last 30 years, and their application is increasing with a tendency to further growth. The demands on the modern vehicle industry, whether they are trains, planes, or cars, are ever challenging – users want high-performance vehicles, but at the same time they are looking for improved reliability and safety, greater comfort, and low pricing. Changing the proportion of light-weight materials to steel in the construction of new vehicles helps make them lighter and more fuel or electrical energy efficient, resulting in lower greenhouse gas emissions. There is one family of materials that is responding to the challenge of these potentially conflicting demands: polymer materials. This includes relatively pure chemical materials as well as fibre-filled polymer composites.65 This article presents polymeric materials that are used for the production of vehicle parts today

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来源期刊

Diagnostyka Engineering-Mechanical Engineering

CiteScore

2.20

自引率

0.00%

发文量

期刊介绍： Diagnostyka – is a quarterly published by the Polish Society of Technical Diagnostics (PSTD). The journal “Diagnostyka” was established by the decision of the Presidium of Main Board of the Polish Society of Technical Diagnostics on August, 21st 2000 and replaced published since 1990 reference book of the PSTD named “Diagnosta”. In the years 2000-2003 there were issued annually two numbers of the journal, since 2004 “Diagnostyka” is issued as a quarterly. Research areas covered include: -theory of the technical diagnostics, -experimental diagnostic research of processes, objects and systems, -analytical, symptom and simulation models of technical objects, -algorithms, methods and devices for diagnosing, prognosis and genesis of condition of technical objects, -methods for detection, localization and identification of damages of technical objects, -artificial intelligence in diagnostics, neural nets, fuzzy systems, genetic algorithms, expert systems, -application of technical diagnostics, -diagnostic issues in mechanical and civil engineering, -medical and biological diagnostics with signal processing application, -structural health monitoring, -machines, -noise and vibration, -analysis of technical and civil systems.