In the present study, the tool wear has been monitored using the cutting sound acoustic spectrum and the linear predictive cepstrum coefficient (LPCC) of the milling sound signal would be extracted to be used as the acoustic spectrum characteristic parameters. The relationship between each order component of LPCC and the flank wear of the tools was analysed. The experimental results show that there are clear characteristic components in the milling sound signal related to the tool wear. It has been found that the characteristic components associated with tool wear are mainly concentrated in the sixth-, seventhand eighth-order components of LPCC.
To understand the powder transportation in HRM4800 vertical roller mill, the mixture multi-phase flow model and the Reynolds stress equation vortex viscosity model were employed to simulate the internal special multi-phase flow of the chamber. The gas flux effect on the gas-solid coupling flow field is also considered in this study. The results show that there is a strong three-dimensional rotation flow field in the powder transportation due to the rotation of the table and rollers. Significant turbulent vortexes in the table-roller flow field have been observed and that field is the main gas-solid coupling flow field of the vertical roller mill. With the increase of gas flux, there is a visible increase of velocity and pressure drop in the multi-phase flow field resulting in improved powder transportation. The phenomena of turbulent pulsation and vortexes under different gas fluxes show that there are restriction problems in the approach of enhancing the efficiency of the vertical roller mill through the increase of gas flux. The studies of gas-solid flow velocity and pressure indicate that there are random characters in the process of turbulent parameters' change and transfer. The results indicate that the structure of the chamber flow model has great influence on the gas-powder flow field, and the optimization design of the vertical roller mill could be achieved with further research work.
The spoiler rib is a auxiliary structure of non mesh enclosure soy milk maker, it plays an important role in the process of crushing soybean. In this paper, we designed an orthogonal experiment according to different structure parameter of the spoiler ribs. By using the numerical simulation method, we can get the law of the flow field. We analysised the velocity, turbulence intensity distribution roles in the flow field of different rib's structure parameter, the model of power consumption. Finally, the optimal solutions were found by numerical orthogonal experimental design method in a several turn.
The research object is 40Cr shaft parts after quenched and tempered. Optimize the main process parameters working pressure, frequency and amplitude of ultrasonic finishing. It is obtained that the various parameters influence the surface roughness of the machining samples and the optimum technological parameters combination which is consistent with experimental results. Using the SPSS software to analyze the results, obtained the process parameters impact trend of the postprocessing roughness. Contrast groups of test data, the best result was reduced by 98.4% compared with the initial roughness , reached the Ra0.04μm.
Groove milling is an important working procedure in plastic profiles manufacturing. Rational milling parameters have great effect on machining efficiency and quality. The milling characteristic of plastic profiles is investigated by cutting experiments in the present paper. The cutting forces increase with the feed speed increase. The vibration occurs easily in transverse cutting because of the low stiffness of the plastic profiles. When the feed speed is large, the workpiece material would produce softening and daubing phenomena appears subsequently on the workpiece surface which affects machining quality. It is therefore that the milling parameters are determined by the avoidance of cutting vibration as well as daubing effect at the same time.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.