Steel and Aluminum Molds: The Effect of Thickness on Productivity and Part Quality

生产力 质量(理念) 材料科学 冶金 复合材料 法律工程学 环境科学 工程类 经济 哲学 认识论 宏观经济学
作者
Pedro Guilherme Carvalho de Souza Marconi,Evandro Menezes de Souza Amarante,Cristiano Vasconcellos Ferreira,Valter Estevão Beal,Armando Ribeiro Júnior
出处
期刊:SAE International Journal of Materials and Manufacturing 卷期号:17 (4) 被引量:2
标识
DOI:10.4271/05-17-04-0024
摘要

<div>The use of aluminum to manufacture injection molds aims to maximize the productivity of plastic parts, as its alloys present higher heat conductivity than tool steel alloys. However, it is essential to accurately control the injection molding parameters to assure that the design tolerances are achieved in the final molded plastic part. The purpose of this research is to evaluate the use of aluminum alloys in high-volume production processes. It delves into the correlation between the type of material used for mold production (steel or aluminum) and the thickness of the injected part, and how these variables affect the efficiency of the process in terms of the quantity and quality of the produced parts. The findings suggest that replacing steel molds with aluminum alloys significantly reduces injection molding cycle time, the difference ranging from 57.1% to 72.5%. Additionally, the dimensional accuracy and less distortion provided by aluminum have improved product quality. In case of thinner geometries, the results indicated that higher pressures were needed to completely fill the cavity. In addition, an increase in the warping of the parts was observed due to the solidification of the flow front, resulting in more pronounced pressure gradients along the part. Therefore, due to their lower stiffness and high thermal conductivity, aluminum molds would not be recommended for this type of geometry in high-production processes. For the cases associated with lower pressures (greater thicknesses), aluminum molds showed better dimensional quality compared to steel. This result indicates that these tools could be an interesting alternative for manufacturing large volumes of parts in aluminum molds.</div>
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
忧郁的白风完成签到 ,获得积分10
刚刚
科研通AI6.4应助长江长采纳,获得10
1秒前
zzz关闭了zzz文献求助
3秒前
5秒前
5秒前
7秒前
TB发布了新的文献求助10
9秒前
10秒前
10秒前
14秒前
15秒前
再次追逐夏天完成签到,获得积分10
15秒前
15秒前
Mary洋完成签到,获得积分10
16秒前
17秒前
wey发布了新的文献求助20
18秒前
外向的问儿完成签到 ,获得积分10
19秒前
19秒前
19秒前
科研通AI6.3应助superchen采纳,获得10
20秒前
Lucas应助smy采纳,获得10
21秒前
张张张发布了新的文献求助10
21秒前
22秒前
CFSJ发布了新的文献求助10
24秒前
Jiygua完成签到,获得积分10
25秒前
27秒前
小蘑菇应助TB采纳,获得10
27秒前
28秒前
28秒前
小二郎应助咸咸咸蛋黄采纳,获得10
28秒前
wanli应助yjf,123采纳,获得10
28秒前
科研通AI6.4应助欧皇采纳,获得50
31秒前
31秒前
wf完成签到,获得积分10
31秒前
Allez完成签到,获得积分10
31秒前
yanghuai完成签到,获得积分10
33秒前
冷静新烟发布了新的文献求助10
33秒前
35秒前
iitj发布了新的文献求助10
35秒前
wu发布了新的文献求助10
35秒前
高分求助中
Principles of Economics, 11th Edition 10000
Prescott's Microbiology: 2026 Release ISE 10000
University Physics with Modern Physics, 16th edition 10000
Cronologia da história de Macau 5000
Environmental Leverage in Times of Climate Crisis: Product Standards, Carbon Border Measures and Preferential Trade Agreements 1000
Interactions of Vowel Quality and Prosody in East Slavic 1000
Matrix Methods in Data Mining and Pattern Recognition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7157081
求助须知:如何正确求助?哪些是违规求助? 8801461
关于积分的说明 18599943
捐赠科研通 6758474
什么是DOI,文献DOI怎么找? 3161726
关于科研通互助平台的介绍 2296735
邀请新用户注册赠送积分活动 2136442