12 research outputs found
Evolved Massive Stars at Low-metallicity V. Mass-Loss Rate of Red Supergiant Stars in the Small Magellanic Cloud
We assemble the most complete and clean red supergiant (RSG) sample (2,121
targets) so far in the Small Magellanic Cloud (SMC) with 53 different bands of
data to study the MLR of RSGs. In order to match the observed spectral energy
distributions (SEDs), a theoretical grid of 17,820 Oxygen-rich models
(``normal'' and ``dusty'' grids are half-and-half) is created by the
radiatively-driven wind model of the DUSTY code, covering a wide range of dust
parameters. We select the best model for each target by calculating the minimal
modified chi-square and visual inspection. The resulting MLRs from DUSTY are
converted to real MLRs based on the scaling relation, for which a total MLR of
yr is measured (corresponding to a
dust-production rate of yr), with a
typical MLR of yr for the general population of
the RSGs. The complexity of mass-loss estimation based on the SED is fully
discussed for the first time, indicating large uncertainties based on the
photometric data (potentially up to one order of magnitude or more). The
Hertzsprung-Russell and luminosity versus median absolute deviation diagrams of
the sample indicate the positive relation between luminosity and MLR.
Meanwhile, the luminosity versus MLR diagrams show a ``knee-like'' shape with
enhanced mass-loss occurring above , which may
be due to the degeneracy of luminosity, pulsation, low surface gravity,
convection, and other factors. We derive our MLR relation by using a
third-order polynomial to fit the sample and compare our result with previous
empirical MLR prescriptions. Given that our MLR prescription is based on a much
larger sample than previous determinations, it provides a more accurate
relation at the cool and luminous region of the H-R diagram at low-metallicity
compared to previous studies.Comment: 16 pages, 19 figures, accepted by A&
Study on Tool Path Optimization in Multi-axis NC Machining
This paper presents a new generation algorithm for tool path based on the optimization of traditional algorithms. Then, the tool path on an impeller is generated with UG software, and it is used to make contrasts and verifications for the effect of optimization. Finally, VERICUT software with the function of the simulating on the whole manufacturing process is utilized to verify the feasibility of the optimized algorithm
Study on Tool Path Optimization in Multi-axis NC Machining
This paper presents a new generation algorithm for tool path based on the optimization of traditional algorithms. Then, the tool path on an impeller is generated with UG software, and it is used to make contrasts and verifications for the effect of optimization. Finally, VERICUT software with the function of the simulating on the whole manufacturing process is utilized to verify the feasibility of the optimized algorithm