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| Data mining: boosting the innovative development of powder metallurgy |
| YIN Hai-qing，QU Xuan-hui |
| Beijing?Advanced?Innovation?Center?for?Materials?Genome?Engineering,?University?of?Science?and?Technology?Beijing,?Beijing?100083,?China；Collaborative?Innovation?Center?of?Steel?Technology,?University?of?Science?and?Technology?Beijing,?Beijing?100083,?China |
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Abstract In an era of rapid development of the global economy and information technology, the powder metallurgy industry is witnessing a great challenges. Advanced materials and novel technologies are urgently needed to meet the changing requirement of end-users and markets. The methodology of materials genome engineering has pushed the application of data science far ahead in materials science, and the time-shortening and cost-reducing are also the goal of the powder metallurgy industry. In this case we summarize the applications of data mining technology in the past two decades in accelerating the components design, processing optimization, and mechanism analysis in powder metallurgy, aiming to exhibit the advantage and potential of data mining technology as a catalyst for accelerating the development of powder metallurgy.
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Received: 06 January 2020
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2020, Vol. 30 
