Study of Frangible Cu-Sn Composite by Powder Metallurgy Method

Widyastuti,; Vicko, G.A.; Ardhyananta, Hosta; Rochiem, Rochman

doi:10.4028/www.scientific.net/amr.1112.497

Cited by 3 publications

(3 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Tin bronze (CuSn 10 ) is widely used as bearing materials for its good mechanical properties [ 1 ]. Nowadays, mechanical alloying (MA) [ 2 ], powders metallurgy (PM) [ 3 ], and traditional casting [ 4 ] are the common methods for sintering CuSn 10 products. The porosity and strength are the most important problems in the selection of these sintering processes.…”

Section: Introductionmentioning

confidence: 99%

“…Many effective methods, such as using high quality sintered powder, reducing the oxygen content, and adding reinforcing phases, have been carried out to improve its mechanical properties [ 5 , 6 ]. The strength and density of the sintering specimens were improved with the usage of atomized powder and a dense sintering graphic mold [ 1 , 2 , 3 , 4 , 5 , 6 ]. The content of inclusions was reduced by sintering the powder under a vacuum atmosphere, as the metal particles were susceptible to reaction with oxygen at high temperatures [ 7 ].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Study on the Selective Laser Melting of CuSn10 Powder

Deng

Kang

Tao³

et al. 2018

Materials

View full text Add to dashboard Cite

The selective laser melting of tin bronze (CuSn10) powder was performed with a laser energy density intensity level at 210, 220, and 230 J/mm2. The composition was homogeneous with almost all tin dissolved into the matrix. The grain size of the obtained alpha copper phase was around 5 μm. The best properties were achieved at 220 J/mm2 laser energy density with a density of 8.82 g/cm3, hardness of 78.2 HRB (Rockwell Hardness measured on the B scale), yield strength of 399 MPa, tensile strength of 490 MPa, and an elongation that reached 19%. “Balling effect” appeared and resulted into a decrease of properties when the laser energy density increased to 230 J/mm2.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Study on the Selective Laser Melting of CuSn10 Powder

Deng

Kang

Tao³

et al. 2018

Materials

View full text Add to dashboard Cite

show abstract

“…Powders metallurgy (PM), and mechanical ball milling (MBM), and casting are usually used for CuSn 10 powder sintering. [4][5][6][7][8] The porosity and geometry precision are the most concern problems. Additive manufacturing provides a new way to make tin bronze parts.…”

Section: Introductionmentioning

confidence: 99%

Effect of hatch distance on CuSn10 specimens by selective laser melting

Kang

Wang

Deng

et al. 2019

MSEIJ

View full text Add to dashboard Cite

Selective laser melting (SLM) is one of promising additive manufacturing methods, especially for precision parts. Its application in copper alloys is of significance. However, there is rare research achievements about the effect of fabrication parameters on the microstructure and quality of copper alloy parts. In this paper, tin bronze (CuSn 10) bars were fabricated with different hatch distance from 0.06mm to 0.1mm and different scanning speed from 198mm/s to 330mm/s, but same area laser energy density. Porosity is mainly dependent on hatch distance instead of scanning speed. The porosity decreases with the decrease of hatch distance. Their microstructure was rose like fine grain cluster growing from melt pool border to pool center, in which fine columnar grain is about 5μm×20μm and equi-axed grains is about 3.5μm in diameter. The formed specimens achieved high hardness (78.2HRB) at hatch distance 0.06mm. Fine microstructure leads to the improvement of mechanical properties.

show abstract

Simulation and prediction of the temperature field of copper alloys fabricated by selective laser melting

Chen

Wang

Sun

et al. 2022

Journal of Laser Applications

View full text Add to dashboard Cite

In the selective laser melting (SLM) process, the experimental approach to determine the optimal process parameters is labor-intensive, material-intensive, and time-consuming. The use of simulation methods also requires more time support and higher hardware requirements. In this paper, a three-dimensional transient heat transfer model and a neural network optimization process parameter model in the process of preparing copper alloys by SLM are developed by combining finite element simulation methods with neural network prediction. The thermal behavior of the multitrack molten pools was investigated by ANSYS APDL, and the effects of different laser powers and scanning speeds on the temperature field and structure dimensions of the molten pools were discussed. The results show that the current single-track has a significant preheating effect on the unmachined single-track and a reheating effect on the machined single-track during the multitrack forming process. The laser power and scanning speed can be controlled to regulate the temperature, 3D size, and heat spread area of the molten pool to avoid over-melting and under-melting. The accuracy of the temperature field model was verified by single-track experiments. A neural network prediction model was constructed to predict the maximum temperature and size of the molten pool by optimizing the backpropagation neural network with a genetic algorithm, providing a methodological guide for the study of SLM process parameters.

show abstract

Study of Frangible Cu-Sn Composite by Powder Metallurgy Method

Cited by 3 publications

References 6 publications

Study on the Selective Laser Melting of CuSn10 Powder

Study on the Selective Laser Melting of CuSn10 Powder

Effect of hatch distance on CuSn10 specimens by selective laser melting

Simulation and prediction of the temperature field of copper alloys fabricated by selective laser melting

Contact Info

Product

Resources

About