Determinación de los principales factores geométricos que influyen en el desgaste de las matrices de extrusión directa empleadas en la obtención en frío de perfiles de aleaciones de aluminio

Author:

Santana Reyes Santiago Amaury1ORCID,Santana Milán Raúl2,Guardia Puebla Yans3ORCID,Morales Leslie José Félix3ORCID

Affiliation:

1. Universidad de Granma Facultad de Ciencias Técnicas

2. Universidad de Holguín Facultad de Ingeniería

3. Universidad de Granma Facultad de Ciencias Técnicas

Abstract

Within most employed processes of forming for series productions are extrusion processes. Die wear is one of the major disadvantages of this technological process, so that efforts are made to predict and mitigate its effect on the tool. In this research it simulates by the Finite Element Method, using the DEFORMTM-2D, the process of cold direct extrusion of aluminum alloys 6061-O in a die material AISI D2. It was analyzed geometric parameters of the die such as: the insidence angle, the extrusion ratio, the input radii, the bearing entrance length on the tool, and the friction coefficient; to determine the influence on the tool wear. The Archard's wear model is used to determine the wear intensity in the critical area of tool. The Plackett-Burman fractional factorial design is used to determine the main factors influencing the die wear standing out: the extrusion ratio, friction coefficient and the incidence angle as the main factors that affect the die wear and to a less extent the bearing entrance length at the entrance of the tool of the material and inputs radii. The principal factors have been related from a linear response surface.

Publisher

Universidad Nacional Autonoma de Mexico

Subject

General Medicine

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