国家/地区 India（10）
关键词 COEFFICIENT OF FRICTION（10）
出版物 MATERIALS RESEARCH .（2）
出版时间 2021（3） 2022（3）
机构
作者 AGARWAL P（2） PORWAL J（2） PORWAL SK（2） SINGH RK（2）
SINGHAL N（2）

Investigation on Tribological and mechanical behaviour of AA6082-Graphene based composites with Ti particles

MATERIALS RESEARCH EXPRESS

RAJAGANAPATHY C, VASUDEVAN D, SELVAKUMAR N

Tribological investigation of alumina/graphene nanoplatelets reinforced epoxy nanocomposites

MATERIALS RESEARCH EXPRESS

KESAVULU A, MOHANTY A

Influence of graphene and multi-walled carbon nanotube additives on tribological behaviour of lubricants

INTERNATIONAL JOURNAL OF SURFACE SCIENCE ENGINEERING

SINGH RK, DIXIT AR, SHARMA AK, TIWARI AK, MANDAL V, PRAMANIK A

Tribological characteristics of mahua oil with graphene nanoplatelets as anti-wear and extreme pressure additive

SURFACE TOPOGRAPHYMETROLOGY PROPERTIES

SURESHA B, HEMANTH G, PADMANABHA A, PRASANNA SI, KULKARNI G, CHARAN MRS, AMITH R

Chemically modified graphene oxide with fatty alcohol as antiwear, antifriction and rheology modifier for lubricating oil

BULLETIN OF MATERIALS SCIENCE

AGARWAL P, PORWAL J, SINGHAL N, PORWAL SK

Pristine, Reduced, and Alkylated Graphene Oxide as Additives to Paraffin Grease for Enhancement of Tribological Properties

JOURNAL OF TRIBOLOGYTRANSACTIONS OF THE ASME

RAWAT SS, HARSHA AP, KHATRI OP, WASCHE R

Chemically functionalized graphene oxide with N-phenyl-p-phenylenediamine as efficient tribo- and rheological modifier for lubricating oil

LUBRICATION SCIENCE

AGARWAL P, PORWAL SK, PORWAL J, SINGH RK, SINGHAL N

AN EXPERIMENTAL STUDY ON THE IMPROVEMENT OF COEFFICIENT OF PERFORMANCE IN VAPOR COMPRESSION REFRIGERATION SYSTEM USING GRAPHENE LUBRICANT ADDITIVES

ENERGY SOURCES PART ARECOVERY UTILIZATION ENVIRONMENTAL EFFECTS

RAGHAVULU KV, RASU NG

Effect of load, sliding frequency, and temperature on tribological properties of graphene nanoplatelets coated carbon fiber reinforced polymer composites

JOURNAL OF COMPOSITE MATERIALS

SINGH M, DODLA S, GAUTAM RK, SRIVASTAVA VK

Taguchi's DOE and artificial neural network analysis for the prediction of tribological performance of graphene nano-platelets filled glass fiber reinforced epoxy composites under the dry sliding condition

TRIBOLOGY INTERNATIONAL

SHARMA N, KUMAR S, SINGH KK