photo
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MUHAMMAD YANIS

Teknik Mesin

NIDN/NIDK : 0028027004

Lektor Kepala

MUHAMMAD YANIS

Teknik Mesin

NIDN/NIDK : 0028027004

Lektor Kepala

H-INDEX

WoS H-Index : 0

Scopus H-Index : 5

Google H-Index : 7

H-INDEX

WoS H-Index : 0

Scopus H-Index : 5

Google H-Index : 7

Scopus Documents

Total : 15

Q4
Application of RSM and ANN in Predicting Surface Roughness for Side Milling Process under Environmentally Friendly Cutting Fluid
Authors : MUHAMMAD YANIS
Citation : 15
Cover Date : 2019-05-10
Type Doc : Conference Proceeding
Publication Name : Journal of Physics: Conference Series
ISSN : 17426588
DOI : 10.1088/1742-6596/1198/4/042016
Q3
Development of surface roughness prediction model for hard turning on AISI D2 steel using cubic boron nitride insert
Authors : MUHAMMAD YANIS
Citation : 14
Cover Date : 2018-01-01
Type Doc : Journal
Publication Name : Jurnal Teknologi
ISSN : 01279696
DOI : 10.11113/jt.v80.10492
Q4
A comparison RSM and ANN surface roughness models in thin-wall machining of Ti6Al4V using vegetable oils under MQL-condition
Authors : MUHAMMAD YANIS
Citation : 10
Cover Date : 2017-09-26
Type Doc : Conference Proceeding
Publication Name : AIP Conference Proceedings
ISSN : 0094243X
DOI : 10.1063/1.5002355
Q4
Investigation of Finite Element Modelling on Thin-Walled Machining of Ti6Al4V using DEFORM-3D
Authors : MUHAMMAD YANIS
Citation : 6
Cover Date : 2019-03-22
Type Doc : Conference Proceeding
Publication Name : Journal of Physics: Conference Series
ISSN : 17426588
DOI : 10.1088/1742-6596/1167/1/012002
Q3
Optimum performance of green machining on thin walled ti6al4v using rsm and ann in terms of cutting force and surface roughness
Authors : MUHAMMAD YANIS
Citation : 5
Cover Date : 2019-11-01
Type Doc : Journal
Publication Name : Jurnal Teknologi
ISSN : 01279696
DOI : 10.11113/jt.v81.13443
Q4
Optimum Milling Parameters of Sugarcane Juice Production Using Artificial Neural Networks (ANN)
Authors : MUHAMMAD YANIS
Citation : 4
Cover Date : 2019-03-22
Type Doc : Conference Proceeding
Publication Name : Journal of Physics: Conference Series
ISSN : 17426588
DOI : 10.1088/1742-6596/1167/1/012016
Q4
Cutting force prediction when green machining of thin-walled Ti-6Al-4V under dry and MQL-cutting using response surface methodology and artificial neural networks-algorithm
Authors : MUHAMMAD YANIS
Citation : 3
Cover Date : 2019-07-30
Type Doc : Conference Proceeding
Publication Name : AIP Conference Proceedings
ISSN : 0094243X
DOI : 10.1063/1.5118035
Q4
Machinability analysis of drilled bamboo fibre reinforced polymer (BFRP) composite
Authors : MUHAMMAD YANIS
Citation : 1
Cover Date : 2019-05-10
Type Doc : Conference Proceeding
Publication Name : Journal of Physics: Conference Series
ISSN : 17426588
DOI : 10.1088/1742-6596/1198/4/042018
Q3
Optimization of surface roughness using RSM and ann modelling on thin-walled machiningunder biodegradable cutting fluids
Authors : MUHAMMAD YANIS
Citation : 0
Cover Date : 2019-09-01
Type Doc : Journal
Publication Name : ARPN Journal of Engineering and Applied Sciences
ISSN :
DOI :
Q3
The prediction of fatigue crack growth of rotary kiln shell welded under cyclic loading
Authors : MUHAMMAD YANIS
Citation : 0
Cover Date : 2019-11-19
Type Doc : Conference Proceeding
Publication Name : IOP Conference Series: Materials Science and Engineering
ISSN : 17578981
DOI : 10.1088/1757-899X/620/1/012115