Energy Dissipation Enhancement of Thin-Walled 6063 T5 Aluminium Tubes by Combining a Triggering Mechanism and Heat Treatment

Author:

Jiménez-Armendáriz Jorge1,Jimenez-Martinez Moises1,Varela-Soriano Julio1,Santana Diaz Alfredo2ORCID,Perez Santiago Rogelio3ORCID

Affiliation:

1. Tecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Puebla 72453, Mexico

2. Tecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Toluca de Lerdo 50110, Mexico

3. Tecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Santiago de Querétaro 76130, Mexico

Abstract

It is necessary to reduce the weight of components while maintaining or improving their mechanical properties to withstand dynamic loads in lightweight structures. In this study, heat treatment and a trigger mechanism were implemented for a thin-walled tube of aluminium to increase energy absorption while reducing the peak crushing force. Different geometries and locations were proposed to trigger deformation in a controlled manner, in combination with heat treatments. Experimental designs for each energy absorption mechanism were performed, and designs were tested by quasi-static crushing. Data obtained from experiments were used to calculate energy absorption indicators that were used to compared designs with components without mechanism to analyse performance. By comparing proposed designs with tubes without modification, the best combination of design variables for each trigger mechanism were identified. It was determined that 160 mm from the upper side, 250 mm2 area and a rectangular trigger shape reduced peak crushing force by 22.03% and increased energy absorption by 37.76%. For heat treatment, the optimal combination was heating in a furnace at 175 ∘C for 1 h and cooling in water at 70 ∘C during 10 min while only soaking half of its length. This combination reduced peak crushing force by 19.02% and increased energy absorption 15.08%. When these mechanisms were combined on a single tube, peak crushing force was reduced by 21.63%, and energy absorption increased by 42.53%.

Publisher

MDPI AG

Subject

General Materials Science,Metals and Alloys

Reference36 articles.

1. Artificial Neural Networks for Passive Safety Assessment;Eng. Lett.,2022

2. Multi-objective optimization of automobile body frame considering weight, rigidity, and frequency for conceptual design;Wang;Adv. Mech. Eng.,2022

3. Pistoia, G., and Liaw, B. (2018). Behaviour of Lithium-Ion Batteries in Electric Vehicles: Battery Health, Performance, Safety, and Cost, Springer International Publishing.

4. Review of the crushing response of collapsible tubular structures;Patel;Front. Mech. Eng.,2020

5. Vehicles Frontal Impact Analysis Using Computer Simulation and Crash Test;Dima;Int. J. Automot. Technol.,2019

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3