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SME Mining, Metallurgy & Exploration (MME) journal: New technical papers published online

By Chee Theng posted 06-30-2021 02:28 PM

  

Stay on the cutting edge! Read the latest papers published online in the SME Mining, Metallurgy & Exploration (MME) journal (free for SME members): 

  1. Login at smenet.org with your email address and password.
  2. Click on “Publications” in the top banner and choose “Mining, Metallurgy & Exploration journal” in the pull-down menu.
  3. Scroll down and click on the “Read the MME Journal Online” link. This takes you to the MME Springer website as an SME member with full access. To see a specific paper, use the search function or use the paper's https://doi

Submit your paper at springer.com/42461 – MME has an impact factor of 1.020 and is abstracted and indexed in Science Citation Index Expanded (Web of Science), Scopus, Google Scholar, Ebsco, ProQuest and more!


Distribution of Rare Earth Elements in the Illinois Basin Coals
Alireza Valian, John G. Groppo, Cortland F. Eble, James C. Hower, Rick Q. Honaker & Stephen F. Greb 
https://doi.org/10.1007/s42461-020-00257-y

Potential Pathways for Mining Operations to Transition to Renewable Energy—a Case Study
Oliver W. Marsden & John O. Marsden 
https://doi.org/10.1007/s42461-021-00440-9

Assessing Longwall Gateroad Ground Response and Support Alternatives
Gabriel S. Esterhuizen, Ted Klemetti, Morgan M. Sears, Peter Zhang, Mark van Dyke, Heather Dougherty & I. Berk Tulu 
https://doi.org/10.1007/s42461-021-00430-x

Effects of Downwash from a 6-Rotor Unmanned Aerial Vehicle (UAV) on Gas Monitor Concentrations
Jacob L. Brinkman & Catherine E. Johnson 
https://doi.org/10.1007/s42461-021-00436-5

Geotechnical Modeling of Kinross – Round Mountain
Kyle A. Scalise, John Keefner & Karoly (Charles) Kocsis 
https://doi.org/10.1007/s42461-021-00434-7

Assessing the Extractability of Rare Earth Elements from Coal Preparation Fines Refuse Using an Organic Acid Lixiviant
Jon Yang, Scott Montross & Circe Verba 
https://doi.org/10.1007/s42461-021-00439-2

Characterization and Evaluation of Recycling Potential for Discarded Laptops
Shaila Mir & Nikhil Dhawan 
https://doi.org/10.1007/s42461-021-00446-3

Controlling Coal Spontaneous Combustion Fire in Longwall Gob Using Comprehensive Methods—a Case Study

Jianwei Cheng, Wang Luo, Zhongling Zhao, Donghong Jiang, Jianbing Zhao, Leixin Shi, Yuanyuan Liu, Gang Zhao, Zui Wang, Wanting Song, Ke Gao, Guozhong Liu, Wancheng Zheng, Peichao Lu & Yungang Wang 
https://doi.org/10.1007/s42461-021-00427-6

Characterization of Multi-Metallic Magnetite Mineral of Nagaland Region in North-East India
Ram ji Omar, Raj Kumar Dishwar, Biswajit Mishra, A. K. Mandal, G. S. Mahobia & O. P. Sinha 
https://doi.org/10.1007/s42461-021-00431-w

Verification and Implementation of a Creep Model Considering the Duvaut-Lion Overstress Function
Eugie Kabwe
https://doi.org/10.1007/s42461-021-00432-9 

Effect of CaF2 on the Reduction Swelling Properties of Iron Ore Briquettes in Different Reduction Stages
Guocheng Zhang, Guoping Luo & Chenchen Sun 
https://doi.org/10.1007/s42461-021-00437-4

Importance and Sensitivity of Variables Defining the Performance of Pre-split Blasting Using Artificial Neural Networks
A. K. Raina 
https://doi.org/10.1007/s42461-021-00435-6

An Integrated Entropy Weight and Grey Clustering Method–Based Evaluation to Improve Safety in Mines
Izhar Mithal Jiskani, Shuai Han, Atta Ur Rehman, Niaz Muhammad Shahani, Muhammad Tariq & Manzoor Ali Brohi 
https://doi.org/10.1007/s42461-021-00444-5

Concentrating PGM from a PGM-Containing Ferroalloy by a Roast-Leach Process
Haigang Dong, Yuedong Wu, Yong Li, Jiachun Zhao & Yaxiong Wang 
https://doi.org/10.1007/s42461-021-00441-8

Leaching Titaniferous Magnetite Concentrate by Alkaline Aqueous Solution
Ke Guo, Shaoyan Wang, Renfeng Song & Zhiqiang Zhang 
https://doi.org/10.1007/s42461-021-00387-x

Desilication Application and Defoaming Mechanism of XK-28 Collector in Iron Ore
Zhao Tonglin, Li Min, Xu Bing, Ma Fangyuan & Xian Yushuai 
https://doi.org/10.1007/s42461-021-00442-7

Selective Leaching of Arsenic from High-Arsenic Dust in the Alkaline System and its Prediction Model Using Artificial Neural Network
Xiao-dong Lv, Gang Li, Yun-tao Xin, Kang Yan & Yu Yi 
https://doi.org/10.1007/s42461-021-00438-3

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