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1.
J Occup Environ Hyg ; 12(8): D153-60, 2015.
Artigo em Inglês | MEDLINE | ID: mdl-25751663

RESUMO

This study aims to elucidate the exposure properties of nanoparticles (NPs; <100 nm in diameter) in semiconductor manufacturing processes. The measurements of airborne NPs were mainly performed around process equipment during fabrication processes and during maintenance. The number concentrations of NPs were measured using a water-based condensation particle counter having a size range of 10-3,000 nm. The chemical composition, size, and shape of NPs were determined by scanning electron microscopy and transmission electron microscopy techniques equipped with energy dispersive spectroscopy. The resulting concentrations of NPs ranged from 0.00-11.47 particles/cm(3). The concentration of NPs measured during maintenance showed a tendency to increase, albeit incrementally, compared to that measured during normal conditions (under typical process conditions without maintenance). However, the increment was small. When comparing the mean number concentration and standard deviation (n ± σ) of NPs, the chemical mechanical polishing (CMP) process was the highest (3.45 ± 3.65 particles/cm(3)), and the dry etch (ETCH) process was the lowest (0.11 ± 0.22 particles/cm(3)). The major NPs observed were silica (SiO2) and titania (TiO2) particles, which were mainly spherical agglomerates ranging in size from 25-280 nm. Sampling of semiconductor processes in CMP, chemical vapor deposition, and ETCH reveled NPs were <100 nm in those areas. On the other hand, particle size exceeded 100 nm in diffusion, metallization, ion implantation, and wet cleaning/etching process. The results show that the SiO2 and TiO2 are the major NPs present in semiconductor cleanroom environments.


Assuntos
Poluentes Ocupacionais do Ar/análise , Nanopartículas/análise , Dióxido de Silício/análise , Titânio/análise , Monitoramento Ambiental/métodos , Nanopartículas Metálicas/análise , Exposição Ocupacional , Tamanho da Partícula , Semicondutores
2.
J Occup Environ Hyg ; 12(2): 114-22, 2015.
Artigo em Inglês | MEDLINE | ID: mdl-25192369

RESUMO

Semiconductor manufacturing processes generate powder particles as byproducts which potentially could affect workers' health. The chemical composition, size, shape, and crystal structure of these powder particles were investigated by scanning electron microscopy equipped with an energy dispersive spectrometer, Fourier transform infrared spectrometry, and X-ray diffractometry. The powders generated in diffusion and chemical mechanical polishing processes were amorphous silica. The particles in the chemical vapor deposition (CVD) and etch processes were TiO(2) and Al(2)O(3), and Al(2)O(3) particles, respectively. As for metallization, WO(3), TiO(2), and Al(2)O(3) particles were generated from equipment used for tungsten and barrier metal (TiN) operations. In photolithography, the size and shape of the powder particles showed 1-10 µm and were of spherical shape. In addition, the powders generated from high-current and medium-current processes for ion implantation included arsenic (As), whereas the high-energy process did not include As. For all samples collected using a personal air sampler during preventive maintenance of process equipment, the mass concentrations of total airborne particles were < 1 µg, which is the detection limit of the microbalance. In addition, the mean mass concentrations of airborne PM10 (particles less than 10 µm in diameter) using direct-reading aerosol monitor by area sampling were between 0.00 and 0.02 µg/m(3). Although the exposure concentration of airborne particles during preventive maintenance is extremely low, it is necessary to make continuous improvements to the process and work environment, because the influence of chronic low-level exposure cannot be excluded.


Assuntos
Poluentes Ocupacionais do Ar/análise , Metais/análise , Exposição Ocupacional/análise , Semicondutores/estatística & dados numéricos , Aerossóis/análise , Arsênio/análise , Monitoramento Ambiental/métodos , Manutenção/estatística & dados numéricos , Microscopia Eletrônica de Varredura , Tamanho da Partícula , Pós/análise , Dióxido de Silício/análise , Local de Trabalho/estatística & dados numéricos
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