A Computational Framework Towards Energy Efficient Casting Processes

被引:1
|
作者
Papanikolaou, Michail [1 ]
Pagone, Emanuele [1 ]
Salonitis, Konstantinos [1 ]
Jolly, Mark [1 ]
Makatsoris, Charalampos [1 ]
机构
[1] Cranfield Univ, Sustainable Mfg Syst Ctr, Cranfield MK43 0AL, Beds, England
来源
SUSTAINABLE DESIGN AND MANUFACTURING 2018, KES-SDM-18 | 2019年 / 130卷
基金
英国工程与自然科学研究理事会;
关键词
CRIMSON; Sustainability; Computational framework; Sand casting; NUMERICAL-SIMULATION; DESIGN;
D O I
10.1007/978-3-030-04290-5_27
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Casting is one of the most widely used, challenging and energy intensive manufacturing processes. Due to the complex engineering problems associated with casting, foundry engineers are mainly concerned with the quality of the final casting component. Consequently, energy efficiency is often disregarded and huge amounts of energy are wasted in favor of high quality casting parts. In this paper, a novel computational framework for the constrained minimization of the pouring temperature is presented and applied on the Constrained Rapid Induction Melting Single Shot Up-Casting (CRIMSON) process. Minimizing the value of the pouring temperature can lead to significant energy savings during the melting and holding processes as well as to higher yield rate due to the resulting reduction of the solidification time. Moreover, a multi-objective optimization component has been integrated into our scheme to assist decision makers with estimating the trade-off between process parameters.
引用
收藏
页码:263 / 276
页数:14
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