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      Evaluation of 6000 Al Alloys for Application in Chassis of Electric Vehicles

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          Abstract

          Abstract The market for electric vehicles is growing, seen as the best alternative to replace internal combustion-powered vehicles. Recent developments in electric vehicles have allowed them to reach a level of performance, comfort, and safety that enables them to compete with traditional vehicles. However, several studies are directed towards increasing the autonomy of these vehicles, aiming at weight reduction of structural components. Aluminum alloys are increasingly being chosen to produce structural elements, due to their low density and suitable properties. The 6000 Al alloys are often used in chassis and bodywork. In view of this, this work proposes a comparison of 6000 series alloys, by means of thermodynamic (using Thermo-Calc®) and property computations (Ansys® Granta EduPack and Selector) to select the best alloys considering application properties, processability, and environmental impact. It was observed that the T6 heat-treated alloys presented better mechanical properties, but, on the other hand, they have more impact on the environment. As such, the 6010-T6 alloy was classified as the best alloy regarding performance, the 6061-T4 alloy the best in terms of processability, and the 6009-T4 alloy presented the lowest environmental impact. The 6111-T4 alloy was highlighted as the alloy showing the best balance between the examined properties.

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          Industry 4.0

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            Recent development in aluminium alloys for the automotive industry

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              Strategic response to Industry 4.0: an empirical investigation on the Chinese automotive industry

              The purpose of this paper is to examine the strategic response to Industry 4.0 for Chinese automotive industry and to identify the critical factors for its successful implementation. A technological, organizational, and environmental framework is used to build the structural models, and statistical tools are used to validate the model. The data analysis helps to determine which factors have impact on the strategic response and whether their relationships are positive or negative. Interpretive structural modeling method is applied to further analyze these derived factors for depicting the relationship. The result shows that company size and nature do not increase the use of advanced production technologies, while other factors have positive impacts on improving the technology adoption among the companies surveyed. A strategic response to Industry 4.0 not only helps in improving organizational competitiveness, but it also has social and economic implications. For this purpose, empirical data are collected to measure the understanding of Industry 4.0 in the Chinese automotive industry. Despite the fact that the Chinese Government has proposed the “Made in China 2025” approach as a way to promote smart manufacturing, little empirical evidence exists in the literature validating company’s perspective toward Industry 4.0. This paper is to fill the research gap.
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                Author and article information

                Journal
                mr
                Materials Research
                Mat. Res.
                ABM, ABC, ABPol (São Carlos, , Brazil )
                1516-1439
                1980-5373
                2022
                : 25
                : e20220275
                Affiliations
                [02] São Carlos orgnameUniversidade Federal de São Carlos orgdiv1Programa de Pós-Graduação em Ciência e Engenharia de Materiais Brazil
                [01] São Carlos orgnameUniversidade Federal de São Carlos orgdiv1Departamento de Engenharia de Materiais Brazil
                [03] Villeurbanne orgnameAnsys France
                Article
                S1516-14392022000100386 S1516-1439(22)02500000386
                10.1590/1980-5373-mr-2022-0275
                361c8e59-106b-415f-9212-405bb9d66b55

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 12 June 2022
                : 18 October 2022
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 19, Pages: 0
                Product

                SciELO Brazil

                Categories
                Articles

                Electric Vehicle,6000 Alloys,Industry 4.0,Environmental Impact

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