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Materials informatics
被引:0
|作者:
Seeram Ramakrishna
Tong-Yi Zhang
Wen-Cong Lu
Quan Qian
Jonathan Sze Choong Low
Jeremy Heiarii Ronald Yune
Daren Zong Loong Tan
Stéphane Bressan
Stefano Sanvito
Surya R. Kalidindi
机构:
[1] National University of Singapore,Department of Mechanical Engineering
[2] Institution of Engineers Singapore,School of Computing
[3] and SPRING,School of Physics, AMBER and CRANN Institute
[4] Materials Genome Institute (MGI),Woodruff School of Mechanical Engineering
[5] Shanghai University (SHU),undefined
[6] and Shanghai Materials Genome Institute,undefined
[7] Singapore Institute of Manufacturing Technology,undefined
[8] ASTAR,undefined
[9] National University of Singapore,undefined
[10] Trinity College,undefined
[11] Georgia Institute of Technology,undefined
来源:
Journal of Intelligent Manufacturing
|
2019年
/
30卷
关键词:
Materials informatics;
Materials data analytics;
Materials modelling;
Materials data mining;
Materials selection;
Materials web platform;
Materials 4.0;
D O I:
暂无
中图分类号:
学科分类号:
摘要:
Materials informatics employs techniques, tools, and theories drawn from the emerging fields of data science, internet, computer science and engineering, and digital technologies to the materials science and engineering to accelerate materials, products and manufacturing innovations. Manufacturing is transforming into shorter design cycles, mass customization, on-demand production, and sustainable products. Additive manufacturing or 3D printing is a popular example of such a trend. However, the success of this manufacturing transformation is critically dependent on the availability of suitable materials and of data on invertible processing–structure–property–performance life cycle linkages of materials. Experience suggests that the material development cycle, i.e. the time to develop and deploy new material, generally exceeds the product design and development cycle. Hence, there is a need to accelerate materials innovation in order to keep up with product and manufacturing innovations. This is a major challenge considering the hundreds of thousands of materials and processes, and the huge amount of data on microstructure, composition, properties, and functional, environmental, and economic performance of materials. Moreover, the data sharing culture among the materials community is sparse. Materials informatics is key to the necessary transformation in product design and manufacturing. Through the association of material and information sciences, the emerging field of materials informatics proposes to computationally mine and analyze large ensembles of experimental and modeling datasets efficiently and cost effectively and to deliver core materials knowledge in user-friendly ways to the designers of materials and products, and to the manufacturers. This paper reviews the various developments in materials informatics and how it facilitates materials innovation by way of specific examples.
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页码:2307 / 2326
页数:19
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