Wei Wang
Georgia Institute of Technology
6 Papers
Wei Wang is an academic researcher from Georgia Institute of Technology. The author has contributed to research in topics: Computer science & Casting. The author has an hindex of 2, co-authored 3 publications. Previous affiliations of Wei Wang include Shandong University.
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Papers
Effectiveness analysis of resources consumption, environmental impact and production efficiency in traditional manufacturing using new technologies: Case from sand casting
Jun Zheng,Jun Zheng,Ankai Chen,Wang Zheng,Xingjian Zhou,Bing Bai,Jian Wu,Ling Wei,Ma Hongping,Wei Wang,Wei Wang +10 more
TL;DR: Reference of what or whether new technologies can be used in traditional manufacturing to realize sustainability is provided and results indicate that in the production of this kind of castings, additive and subtractive manufacturing have better resource utilization and significantly reduced the carbon emission of sand casting process.
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Promoting sustainable level of resources and efficiency from traditional manufacturing industry via quantification of carbon benefit: A model considering product feature design and case
TL;DR: In this paper, carbon emission and resource utilization in the subsequent production process are controlled in the product design stage, so as to improve the resource level and efficiency of traditional manufacturing industry.
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Method for evaluating the resource, energy, and environmental impact of the casting fault rectification process in patternless sand castings
Jun Zheng,Xingjian Zhou,Junjie Shi,Yicheng Ren,Jinkang Yao,Feng Lin,Jiazhe Qian,W.A. Ling,Aizhi Guan,Wei Wang,Zhiyi Zhang +10 more
TL;DR: In this paper , a casting defect process impact model is constructed to obtain a quantitative study of the influence of various casting defects on production status and sustainability, which can effectively quantify the sustainability of the casting defect repair process and aid the foundry industry in achieving sustainability.
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Promoting sustainability in 3D printed sand casting through adaptive sand mold structures
Jun Zheng,Xinyu Hu,Bin Tang,Tiening Qi,Qi Pan,Jun Zhu,Rundong Jia,Xiran Qiu,Zhiyi Zhang,Aizhi Guan,W.A. Ling,Tao Peng,Jian Wu,Wei Wang +13 more
TL;DR: This study proposes an adaptive sand mold structure design method to enhance sustainability in 3D printed sand casting, reducing carbon emissions by 9.2-11.9% and costs by 6.7-11.1% through optimized modular design and clustering.
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An influence modelling and analysis method of reducing carbon emissions for mould forming processes in patternless sand casting
TL;DR: In this article , a composite patternless casting with the modular division method is proposed, which combines sand mold 3D printing and sand mold milling technologies, to explore the potential of energy saving and emission reduction in the foundry industry.