Adjoint Method for the Optimisation of Conformal Cooling Channels of 3-D Printed High-Pressure Tools for Aluminium Casting

可制造性设计 冷却液 机械工程 频道(广播) 稳健性(进化) 计算机科学 工程类 算法 计算机网络 生物化学 化学 基因
作者
Tongyan Zeng,Essam Abo-Serie,James Jewkes,P.E. Dodd,R. Jones
出处
期刊:SAE International Journal of Advances and Current Practices in Mobility 卷期号:4 (6): 2379-2388 被引量:3
标识
DOI:10.4271/2022-01-0246
摘要

<div class="section abstract"><div class="htmlview paragraph">The emergence of additive manufacturing (AM) technology has enabled the internal cooling channel layout for high pressure aluminium die casting (HPADC) tools to be designed and modified without topological constraint. Optimisation studies of a full industrial HPADC mould for extending the tool service life has received limited attention due to the high geometrical complexity and the various physics with multi time- and length- scales in addition to the manufacturability limitations. In this work, a new computationally efficient algorithm that employs the adjoint optimisation method has been developed to optimise the coolant channels layout in a complete mould with various 3D printed inserts. The algorithms significantly reduced the computational time and resources by decoupling the fluid flow in the coolant channels from the tool and simulating them separately. The channel’s heat transfer coefficient values are then interpolated and mapped into the thermal model that implements the adjoint optimisation approach to automatically push/pull the pipes toward the cavity based on the gradient of the optimisation function with respect to the pipe surface location. Using the adjoint method, with a customised multi-objective function, an improvement of 15 % for the cooling uniformity between the mould/cast interface was achieved. Because of the simplified mapping approach, a significant reduction in computational cost was achieved by adopting this strategy. The spatial distribution of the tool temperature and cavity are presented for the baseline and optimised channels. The results showed that the optimised channels not only have variations in layout but also in their cross-sectional shape at different locations to satisfy the objective function. The optimised insert designs have been applied in production, yielding a significant increase in tool service lifespan, reaching approximately of 130,000 shots.</div></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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
蒋中豪完成签到 ,获得积分10
1秒前
胆小无助但能吃完成签到,获得积分10
2秒前
123完成签到,获得积分20
2秒前
2秒前
kary应助小费采纳,获得30
2秒前
我唉科研完成签到,获得积分10
5秒前
可靠馒头发布了新的文献求助10
5秒前
orixero应助呋喃采纳,获得10
7秒前
8秒前
9秒前
研友_LpQGjn完成签到 ,获得积分10
9秒前
9秒前
10秒前
10秒前
乐乐应助呼呼叫采纳,获得10
11秒前
Ava应助张土豆采纳,获得10
12秒前
求文献完成签到,获得积分10
12秒前
XPR发布了新的文献求助10
14秒前
123发布了新的文献求助10
15秒前
哈哈王子发布了新的文献求助10
15秒前
落尘完成签到,获得积分10
17秒前
17秒前
研友_ZeqAxZ完成签到,获得积分10
17秒前
Nik- KC完成签到 ,获得积分10
18秒前
19秒前
kingwhitewing完成签到,获得积分10
19秒前
11完成签到,获得积分10
19秒前
完美世界应助XPR采纳,获得10
20秒前
期待完成签到,获得积分10
20秒前
冷酷芝完成签到,获得积分10
20秒前
李爱国应助学术大白采纳,获得10
21秒前
新雨发布了新的文献求助10
21秒前
24秒前
阿QQ完成签到,获得积分10
24秒前
Jasper应助whiteside采纳,获得10
24秒前
霸霸斌发布了新的文献求助10
25秒前
25秒前
同玉完成签到,获得积分10
27秒前
27秒前
呼呼叫发布了新的文献求助10
28秒前
高分求助中
Licensing Deals in Pharmaceuticals 2019-2024 3000
Very-high-order BVD Schemes Using β-variable THINC Method 1020
PraxisRatgeber: Mantiden: Faszinierende Lauerjäger 800
A new species of Coccus (Homoptera: Coccoidea) from Malawi 500
Geochemistry, 2nd Edition 地球化学经典教科书第二版,不要epub版本 431
Mission to Mao: Us Intelligence and the Chinese Communists in World War II 400
The Conscience of the Party: Hu Yaobang, China’s Communist Reformer 400
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3292496
求助须知:如何正确求助?哪些是违规求助? 2928822
关于积分的说明 8438538
捐赠科研通 2600907
什么是DOI,文献DOI怎么找? 1419337
科研通“疑难数据库(出版商)”最低求助积分说明 660282
邀请新用户注册赠送积分活动 642921