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AMRIFAN SALADIN MOHRUNI

Teknik Mesin

NIDN/NIDK : 0011096407

Lektor Kepala

AMRIFAN SALADIN MOHRUNI

Teknik Mesin

NIDN/NIDK : 0011096407

Lektor Kepala

H-INDEX

WoS H-Index : 0

Scopus H-Index : 7

Google H-Index : 11

H-INDEX

WoS H-Index : 0

Scopus H-Index : 7

Google H-Index : 11

GS Documents

Source by Sinta Kemenristek

Total : 226

Ithenticate_A Review of Minimum Quantity Lubrication Technique with Nanofluids Application in Metal Cutting Operations
INSIGHT-Indonesian Society for Knowledge and Human Development, 2017
AS Mohruni
Citation : 0
Year : 2017
Ithenticate_Design and Development of Sustainable Manufacturing Systems (Applied Mechanics and Materials Volume 815)
Scitec Publications Ltd., 2015
AS Mohruni
Citation : 0
Year : 2015
Ithenticate_Advances in Mechanical, Materials and Manufacturing Engineering (Applied Mechanics and Materials Vol. 660)
Scitec Publications Ltd., 2014
AS Mohruni
Citation : 0
Year : 2014
Ithenticate_Achievements in Engineering Sciences (Applied Mechanics and Materials Vols. 548-549)
Scitec Publications Ltd., 2014
AS Mohruni
Citation : 0
Year : 2014
Ithenticate_The influence of machining parameters using cryogenic cooling system
American Institute of Physics, 2021
AS Mohruni
Citation : 0
Year : 2021
Reviewer_SRIWIJAYA INTERNATIONAL CONFERENCE ON ENGINEERING AND TECHNOLOGY (SICETO 2021) FAKULTAS TEKNIK UNIVERSITAS SRIWIJAYA
FAKULTAS TEKNIK UNIVERSITAS SRIWIJAYA, 2021
AS Mohruni
Citation : 0
Year : 2021
Ithenticate_Performance evaluation of coolant concentration when end milling hardened steel using coated carbide tool
American Institute of Physics, 2021
AS Mohruni
Citation : 0
Year : 2021
Ithenticate_Optimum Performance of Green Machining on Thin Walled Ti6al4v Using RSM and ANN in Terms of Cutting Force and Surface Roughness
Penerbit UTM Press, 2019
AS Mohruni
Citation : 0
Year : 2019
Ithenticate_Optimization of Surface Roughness Using RSM and ANN Modelling on Thin-Walled Machining Under Biodegradable Cutting Fluids
ARPN Publishers, 2019
AS Mohruni
Citation : 0
Year : 2019
Ithenticate_Optimum Milling Parameters of Sugarcane Juice Production Using Artificial Neural Networks (ANN)
IOP Publishing Ltd, 2019
AS Mohruni
Citation : 0
Year : 2019