Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Mehmet Cabir Akkoyunlu"'
Publikováno v:
Drying Technology. 38:1393-1399
Coal is an important component in the energy industry and plays a key role in energy-producing facilities. Moisture is a common condition that has a considerable impact on coal. Coal drying has long been a question of great interest in a wide range o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ce308547fbc7b071926fcb68bfc33ad
https://doi.org/10.1080/07373937.2020.1750027
https://doi.org/10.1080/07373937.2020.1750027
Coal is still a significant energy source for the world. Due to the utilization of low-rank coal, drying is a key issue. There are lots of attempts to develop efficient drying processes. The most prominent method seems as thermal drying. For thermal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa452589411a15ad6d5a404a0207b1ee
https://hdl.handle.net/11491/7174
https://hdl.handle.net/11491/7174
Autor:
Mehmet Cabir Akkoyunlu, Engin Pekel, Saban Pusat, Mustafa Tahir Akkoyunlu, Selin Soner Kara, Coşkun Özkan
Publikováno v:
International Journal of Coal Preparation and Utilization. 38:443-450
Drying of low rank coal is a very significant topic due to its high economic value. One of the most important parameter in the designing of a dryer is the exiting moisture content of the material a...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71b184663ea72e4e0fbdc7e85ad126fb
https://doi.org/10.1080/19392699.2017.1300582
https://doi.org/10.1080/19392699.2017.1300582
Autor:
Engin Pekel, Mustafa Tahir Akkoyunlu, Saban Pusat, Selin Soner Kara, Mehmet Cabir Akkoyunlu, Coşkun Özkan
Publikováno v:
Fuel Processing Technology. 147:12-17
In this study, a new methodology was applied to estimate the coal moisture content during the drying process. Adaptive-network-based fuzzy inference system (ANFIS) was applied to predict the coal moisture content at any time during the drying process
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc08d06d6f2b034cc6bcb6e4d09164b3
https://doi.org/10.1016/j.fuproc.2015.12.010
https://doi.org/10.1016/j.fuproc.2015.12.010
Publikováno v:
Arabian Journal for Science and Engineering. 40:2721-2727
Coal drying is a quite important process from both burning efficiency and granulation perspective. Therefore, coal drying experimentation processes always attract researchers from various fields. Those experiments are quite costly since they require
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29f3953ef6d40f9661e626e7581471e8
https://doi.org/10.1007/s13369-015-1746-2
https://doi.org/10.1007/s13369-015-1746-2
Autor:
Mehmet Cabir Akkoyunlu, Saban Pusat, Selin Soner Kara, Engin Pekel, Mustafa Tahir Akkoyunlu, Coşkun Özkan
Publikováno v:
International Journal of Oil, Gas and Coal Technology. 22:332
In this study, a two stage methodology was applied to predict the exit coal moisture content during the drying process. The first stage included a design of experiment (DoE) study which made easy to determine the significance levels of drying paramet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36d4c73b5778d582b586d46fe0ca17de
https://doi.org/10.1504/ijogct.2019.10024567
https://doi.org/10.1504/ijogct.2019.10024567
Publikováno v:
2015 6th International Conference on Modeling, Simulation, and Applied Optimization (ICMSAO).
Multiprocessor task can be stated as finding a schedule for a general graph to execute on a multiprocessor system. In this paper an efficient harmony search algorithm (HSA) is proposed to solve the hybrid flow shop scheduling with multiprocessor task
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2745581afc1af72c023d715117c5601d
https://doi.org/10.1109/icmsao.2015.7152245
https://doi.org/10.1109/icmsao.2015.7152245