Investigation on Mechanical Properties of Fabricated Aluminium 5000 Series using Finite Element and Artificial Intelligence Methods

Q3 Engineering

International Journal of Vehicle Structures and Systems Pub Date : 2023-07-12 DOI:10.4273/ijvss.15.2.07

Sasidhar Gurugubelli, V. Chintada, Rama Bhadri Raju Chekuri

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引用次数: 0

Abstract

The analysis of experimental and simulation findings of an aluminium alloy using finite element and artificial intelligence approaches is compared in this paper. The magnesium content in aluminium-magnesium alloys ranges from 0.5 to 13%, with other elements added in lower amounts. The purpose of this work is to manufacture aluminium alloy in a well-equipped furnace under the proper thermal circumstances to reach the required temperature and then to sand cast aluminium alloy (5000 series) to acquire the desired specimen. The specimens were made using varying quantities of aluminium 88% and magnesium 12% by weight fraction. When it comes to strength testing, the most common one is the static tensile test, which was computer-simulated in this work using Python and the design tool Ansys. Results from the computer simulations were compared to those from the tensile tests and they were determined to be equivalent. In spite of this, computer simulations and artificial intelligence are feasible alternatives to time-consuming and costly laboratory experiments.

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用有限元和人工智能方法研究5000系列铝材的力学性能

本文比较了用有限元方法和人工智能方法对某铝合金的实验结果和仿真结果进行了分析。铝镁合金中镁的含量在0.5 - 13%之间，其他元素的添加量较低。这项工作的目的是在一个设备齐全的炉中，在适当的热环境下制造铝合金，以达到所需的温度，然后对铝合金(5000系列)进行砂型铸造，以获得所需的样品。试样是用不同数量的铝88%和镁12%的重量分数制成的。在强度测试中，最常见的是静态拉伸测试，在本工作中使用Python和设计工具Ansys进行计算机模拟。计算机模拟的结果与拉伸试验的结果进行了比较，确定它们是等效的。尽管如此，计算机模拟和人工智能是可行的替代耗时和昂贵的实验室实验。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Vehicle Structures and Systems Engineering-Mechanical Engineering

CiteScore

0.90

自引率

0.00%

发文量

期刊介绍： The International Journal of Vehicle Structures and Systems (IJVSS) is a quarterly journal and is published by MechAero Foundation for Technical Research and Education Excellence (MAFTREE), based in Chennai, India. MAFTREE is engaged in promoting the advancement of technical research and education in the field of mechanical, aerospace, automotive and its related branches of engineering, science, and technology. IJVSS disseminates high quality original research and review papers, case studies, technical notes and book reviews. All published papers in this journal will have undergone rigorous peer review. IJVSS was founded in 2009. IJVSS is available in Print (ISSN 0975-3060) and Online (ISSN 0975-3540) versions. The prime focus of the IJVSS is given to the subjects of modelling, analysis, design, simulation, optimization and testing of structures and systems of the following: 1. Automotive vehicle including scooter, auto, car, motor sport and racing vehicles, 2. Truck, trailer and heavy vehicles for road transport, 3. Rail, bus, tram, emerging transit and hybrid vehicle, 4. Terrain vehicle, armoured vehicle, construction vehicle and Unmanned Ground Vehicle, 5. Aircraft, launch vehicle, missile, airship, spacecraft, space exploration vehicle, 6. Unmanned Aerial Vehicle, Micro Aerial Vehicle, 7. Marine vehicle, ship and yachts and under water vehicles.