Research and development of low-energy and high-efficiency wind-fed tobacco technology

[1] Wang, H., Xin, H., Liao, Z., Li, J., Xie, W., & Zeng, Q., et al. (2014). Study on the effect of cut tobacco drying on the pyrolysis and combustion properties. Drying Technology, 32(2), 130-134. Search in Google Scholar

[2] Liu, J. T., Li, M., Yu, Q. F., & Ling, D. L. (2014). A novel parabolic trough concentrating solar heating for cut tobacco drying system. International Journal of Photoenergy, 2014, 1-10. Search in Google Scholar

[3] Liu, Z., Xiang, K., Jin, Z., Wang, X., & Pan, S. (2022). Visual detection of residual cut tobacco based on multi-feature fusion and markov random field. Journal of electronic imaging. Search in Google Scholar

[4] Zhou, F., Peng, H., Ruan, W., Wang, D., Liu, M., & Gu, Y., et al. (2018). Cubic-rbf-arx modeling and model-based optimal setting control in head and tail stages of cut tobacco drying process. Neural Computing and Applications. Search in Google Scholar

[5] Pendleton, D. (2023). Pneumatic conveying basics. Chemical Engineering(4), 130. Search in Google Scholar

[6] Zhou, F., Hu, S., Liu, Y., Liu, C., Xia, T., & Key Laboratory of Cas and Fire Control for Coal Mines, et al. (2014). Cfd-dem simulation of the pneumatic conveying of fine particles through a horizontal slit. Particuology. Search in Google Scholar

[7] He, L., Yang, Y., Huang, Z., Liao, Z., Wang, J., & Yang, Y. (2016). Multi-scale analysis of acoustic emission signals in dense-phase pneumatic conveying of pulverized coal at high pressure. AIChE Journal. Search in Google Scholar

[8] Chen, C., Shen, F., & Dai, C. (2023). Swintd: transformer-based detection network for foreign objects in the cut section of tobacco packets. Measurement. Search in Google Scholar

[9] Wu, K., Zhang, E., Yuan, Z., Li, B., & Luo, D. (2020). Analysis of flexible ribbon particle residence time distribution in a fluidised bed riser using three-dimensional cfd-dem simulation. Powder Technology, 369(2). Search in Google Scholar

[10] Feifei Fu, Chuanlong Xu, & Shimin Wang. (2018). Flow characterization of high-pressure dense-phase pneumatic conveying of coal powder using multi-scale signal analysis. Particuology, 36(1). Search in Google Scholar

[11] Maynard, E. (2022). Dilute or dense phase pneumatic conveying?. Chemical Engineering Progress(11), 118. Search in Google Scholar

[12] Ping, W., Xing, Y., Lenian, Z., & Rong, X. (2014). Research for different sampling mechanism in tobacco vibration separator system. Electrical Engineering, 15(08), 33-35. Search in Google Scholar

[13] Schmitt, R., & Sobrinho, M. R. S. (2018). Nonlinear dynamic modeling of a pneumatic process control valve. IEEE Latin America Transactions, 16(4), 1070-1075. Search in Google Scholar

[14] Koike, M., Nakata, T., Zhang, F., & Tahara, J. (2019). Vibration control for pneumatic isolation table with feedforward control input. Electrical Engineering in Japan. Search in Google Scholar

[15] Yang, G., Du, J. M., Fu, X. Y., & Li, B. R. (2017). Asymmetric fuzzy control of a positive and negative pneumatic pressure servo system. Chinese Journal of Mechanical Engineering, v.30(06), 164-172. Search in Google Scholar

[16] Feng, S., Jia, W., Yan, J., Wang, C., & Zhang, K. (2020). A new method of flow blockage collapsing in the horizontal pipe: the pipe-rotation mechanism. International Journal of Chemical Reactor Engineering, 18(8), 261-8. Search in Google Scholar

[17] Yang, C., Cui, Z., Xue, Q., Wang, H., Zhang, D., & Geng, Y. (2014). Application of a high speed ect system to online monitoring of pneumatic conveying process. Measurement, 48, 29-42. Search in Google Scholar

[18] Wang, C., Jia, L., & Gao, W. (2020). Electrostatic sensor for determining the characteristics of particles moving from deposition to suspension in pneumatic conveying. IEEE sensors journal(20-2). Search in Google Scholar