SHIBAYAMA Atsushi

写真a

Affiliation

Graduate School of International Resource Sciences  Department of Earth Resource Engineering and Environmental Science 

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Research Interests 【 display / non-display 】

  • Recycling

  • Mineral Processing Engineering

  • Waste Treatment

  • Mineral Processing and Recycling

  • リサイクリング工学

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Graduating School 【 display / non-display 】

  • 　
    -
    1999

    Kyushu University     Graduated

  • 　
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    1999

    Kyushu University     Graduated

  • 　
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    1994.03

    Kyushu University     Graduated

  • 　
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    1994

    Kyushu University     Graduated

  • 　
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    1994

    Kyushu University     Graduated

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Graduate School 【 display / non-display 】

  • 　
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    1999.03

    Kyushu University  Graduate School,Division of Engineering  Doctor's Course  Completed

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Campus Career 【 display / non-display 】

  • 2016.04
    -
    Now

    Akita University   Graduate School of International Resource Sciences   Department of Earth Resource Engineering and Environmental Science   Faculty of International Resource Science   Professor  

  • 2014.04
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    2016.03

    Akita University   Faculty of International Resource Sciences   Department of International Resource Sciences   Dept. of Earth Resource Engineering and Environmental Science   Faculty of International Resource Science   Professor  

  • 2009.04
    -
    2014.03

    Akita University   Graduate School of Engineering and Resource Science   Faculty of Engineering and Resource Science   Professor  

  • 2007.04
    -
    2009.03

    Akita University   Graduate School of Engineering and Resource Science   Faculty of Engineering and Resource Science   Associate Professor  

  • 2003.02
    -
    2007.03

    Akita University   Faculty of Engineering and Resource Science   Associate Professor  

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External Career 【 display / non-display 】

  • 2014.04
    　
    　

    Faculty of International Sciences, Akita University   Professor  

  • 2009.04
    　
    　

    Graduate School of Engineering and Resource Science, Akita University   Professor  

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Research Areas 【 display / non-display 】

  • Environmental Science/Agriculture Science / Environmental materials and recycle technology

  • Environmental Science/Agriculture Science / Environmental materials and recycle technology

  • Environmental Science/Agriculture Science / Environmental load reduction and remediation

  • Nanotechnology/Materials / Metals production and resources production

  • Energy Engineering / Earth resource engineering, Energy sciences

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Research Achievements 【 display / non-display 】

    ◆Original paper【 display / non-display 】

  • Gold Recovery from its Flotation Concentrate using Acidic Thiourea Leaching and Organosilicon Polymer

    Altansukh, B., Burmaa, G., Nyamdelger, S., Ariunbolor, N., Shibayama, A., and Haga, K.

    International Journal on the Society of Materials Engineering for Resources   20 ( 1 ) 29 - 34   2015.01

    Research paper (journal)   Domestic Co-author

  • Floatability and Bubble Behavior in Seawater Flotation for the Recovering Copper Mineral

    Haga, K., Nishioka, K., Altansukh, B., and Shibayama, A.

    International Journal on the Society of Materials Engineering for Resources   20 ( 1 ) 82 - 86   2015.01

    Research paper (journal)   Domestic Co-author

  • A Study of Enrichment Process of Rare Earth Elements from Tamagawa Hot Spring Water

    Haga, K., Bessho, M., Muniyappan, R. G., and Shibayama, A

    International Journal on the Society of Materials Engineering for Resources   20 ( 1 ) 196 - 202   2015.01

    Research paper (journal)   Domestic Co-author

  • Recovery of Nickel and Cobalt from a Low Grade Laterite Ore

    Altansukh, B., Haga, K., and Shibayama, A

    Resource Processing   61 ( 2 ) 100 - 109   2015.01

    Research paper (journal)   Domestic Co-author

  • Copper Upgrading and Recovery Process from Mine Tailing of Bor Region, Serbia Using Flotation

    Han, B., Altansukh, B., Haga, K., Stevanovic, Z., Radojka, J., Marcovic., R., Avramovic, L., Obradovic, L., Takasaki, T., Masuda, N., Ishiyama, D., and Shibayama, A.

    International Journal of the Society of Materials Engineering for Resources   20 ( 2 ) 225 - 229   2015.01

    Research paper (journal)   Domestic Co-author

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    ◆International conference proceedings【 display / non-display 】

  • Removal of Arsenic and Dissolution of Copper from Arsenic Bearing Copper Ore by High Pressure Oxidative Leaching

    A. Shibayama, B. Altansukh, R. Oinuma, K. Haga

    Proceedings IMPC2016     2016.01  [Refereed]

    Research paper (international conference proceedings)   Domestic Co-author

  • High Pressuer Oxidative Leachinng of High Arsenic Bearing Copper Ore Under Various Conditions

    A. Shibayama, B. Altansukh, R. Oinuma, K. Haga

    Proceedings of Copper 2016     2016.01  [Refereed]

    Research paper (international conference proceedings)   Domestic Co-author

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    ◆Other【 display / non-display 】

  • Classification of Arsenic Bearing Minerals Using Hyperspectral Imaging and Deep Learning for Mineral Processing

    OKADA Natsuo, MAEKAWA Yohei, OWADA Narihiro, HAGA Kazutoshi, SHIBAYAMA Atsushi, KAWAMURA Youhei

    Journal of MMIJ ( The Mining and Materials Processing Institute of Japan )  137 ( 1 ) 1 - 9   2021

    <p>Currently, there have been issues concerning the depletion and scarcity of mineral resources. This is mostly due to the excavation of high grade minerals having already occurred years and years ago, hence forcing the mining industry to opt for the production and optimization of lower grade minerals. This however brings about a plethora of problems, many of which economic, stemming from the purification of those low grade minerals in various stages required for mineral processing. In order to reduce costs and aid in the optimization of the mining stream, this study, introduces an automatic mineral identification system which combines the predictive abilities of deep learning with the excellent resolution of hyperspectral imaging, for pre-stage of mineral processing. These technologies were used to identify and classify high grade arsenic (As) bearing minerals from their low grade mineral counterparts non-destructively. Most of this ability to perform such tasks comes from the highly versatile machine learning model which employs deep learning as a means to classify minerals for mineral processing. Experimental results supported this statement as the model was able to achieve an over 90% accuracy in the prediction of As-bearing minerals, hence, one could conclude that this system has the potential to be employed in the mining industry as it achieves modern day system requirements such as high accuracy, speed, economic, userfriendly and automatic mineral identification.</p>

    DOI

  • Treatment of Spent LED Light Bulbs for Recycling of Its Components: A Combined Assessment in the Context of LCA and Cost-Benefit Analysis

    DODBIBA Gjergj, OSHIKAWA Hiroki, PONOU Josiane, KIM Yonggu, HAGA Kazutoshi, SHIBAYAMA Atsushi, FUJITA Toyohisa

    Resources Processing ( The Resources Processing Society of Japan )  66 ( 1 ) 15 - 28   2019

    <p>Recently, the demand for LED light bulbs is rapidly increasing due to an increasing demand for energy saving lightning options. In this work, the elemental composition of LED light bulbs is first analyzed, and then a flowsheet for recovering LED chips and other valuable metals from spent LED light bulbs is put forward. The suggested flowsheet includes eddy current separation (ECS) and air tabling, in addition to several refining processes. The experimental results indicated that the eddy current separation and the air tabling are useful techniques for sorting components of LED bulbs, enabling the recycling of aluminium, plastics, and precious metals, such as gold and silver. Next, five different scenarios for treatment of spent LED light bulbs were considered and a combined life cycle assessment (LCA) and cost-benefit analysis was carried out to find out the most suitable alternative. The results of the combined assessment suggested that the recycling of mainly Al and plastics from spent LED bulbs is an environmentally friendly and cost-effective alternative.</p>

    DOI

  • Nano Bubble and Emulsion Size Distribution Measurement by Interactive Force Apparatus

    FUJITA Toyohisa, KUROSE Takeshi, PONOU Josiane, DODBIBA Gjergj, SHIBAYAMA Atsushi, OTSUKI Akira

    International Journal of the Society of Materials Engineering for Resources   23 ( 2 ) 158‐161 - 161   2018.09

    J-GLOBAL

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Grant-in-Aid for Scientific Research 【 display / non-display 】

  • Development of novel pincer extractants capable of rapid palladium extraction

    Grant-in-Aid for Scientific Research(B)

    Project Year： 2022.04  -  2026.03 

  • Grant-in-Aid for Scientific Research(B)

    Project Year： 2019.04  -  2022.03 

  • Grant-in-Aid for JSPS Fellows

    Project Year： 2016.11  -  2019.03 

  • Grant-in-Aid for Scientific Research(B)

    Project Year： 2016.04  -  2019.03 

  • Development of recycling technology for precious metal by halogen leaching and pincer type extractant

    Grant-in-Aid for Scientific Research(B)

    Project Year： 2016.04  -  2019.03  Investigator(s): Shibayama Atsushi, Batnasan Altansukh, Okabe Haruka

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Academic Activity 【 display / non-display 】

  • 2020
    -
    2021

  • 2019
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    Now

  • 2015
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    Now

  • 2011.10
    　
    　

  • 2003
    　
    　

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