国家/地区 中国（5）
IPC部 C（7）
IPC大类 C01（7）
IPC小类 C01B（7）
IPC C22C021/00（7）
发明人
公开年 2022（6）
申请年 2022（7）
专利权人

Preparation of high thermal conducting aluminum graphene and reduced graphene oxide composite material for e.g. heat exchanger, involves doping graphene or reduced graphene oxide around aluminum metal or its powder, casting molten mass into mould cavity and preparing cast composite materials.

NAYAK S K, SATPATHY B K, BHOJAK K, MITRA A, KAR S, PATRA B, SAHU A K

Preparation of graphene guide bar used in squirrel-cage-type three-phase asynchronous motor, involves ball-milling graphene, high-purity aluminum and polydimethylsiloxane, pressing, vacuum-sintering, cooling, applying pressure to sintered sample through fixed punch to cause plastic deformation.

WEN C, LU S, ZHAO P, ZHENG G

Preparing closed cell foam metal composite material comprises adding copper salt, sodium citrate and graphene nanosheets into distilled water, ultrasonically dispersing, adding copper salt, sodium citrate and ceramic particles, coating ceramic particles loaded with copper and proposing crucible.

ZHAO Z, LIU R, YAN P, YANG L, WANG Z, ZHANG Z

Aluminum material with superconducting heat performance used in electric appliance device, comprises coating heat conducting material and curing agent on surface of aluminum alloy, drying and curing to obtain super-conductive aluminum material.

CHEN M

Preparing graphene-reinforced aluminum matrix composite by metal 3D printing, comprises taking graphene powder, graphite powder, polyvinyl alcohol and solvent into cleaning ball mill, vacuumizing, ball milling, drying and filtering.

CHEN S, QIU H, WU J, CHEN B

Graphene-aluminum alloy material useful in aluminum-based composite material e.g. particle reinforcing body and fiber reinforcing body, comprises silicon, iron, copper, magnesium, boron, molybdenum, graphene powder, rare earth, aluminum and impurities.

LIN C, NAN Q

Effective analysis method for impact of graphene nano tubes (GNPs) reinforced extruded and non-extruded aluminum matrix composites (AMCs) in automotive and aircraft industries using computational intelligence, involves fixing five to seven hidden layers.

SELVAKUMAR N, RADHA N, HARICHANDRAN R