Simulation Technologies for Tamper System of Asphalt-Paver Based on AMESim

Abstract:

Tamper mechanism is one of the most important parts in all of Asphalt-pavers. In this article, the mathematical model of the tamper system has been established and the stability of the system has been analyzed by using Matlab. According to the operating principle of tamper system of Asphalt-paver, the simulation model of tamper system of Asphalt-paver has been established by using AMESim. The main parameters of the model were set, and then, the simulation results were analyzed, which show that the system is stable and the dynamic performance of system will be improved, when accumulator and PID controller were equipped. Besides, the tamping frequency of hammer is very important to the performance of system. When tamping frequency of hammer over 20HZ, the performance of system will go bad.

• Periodical: Advanced Materials Research (Volumes 129-131)
• Pages: 1098-1103
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.129-131.1098
• Online since: August 2010
• Authors: Tian Hong Luo, Xin Fu Gan, Wen Jun Luo
• Keywords: AMEsim, MATLAB, Paver, Simulation, Tamper System

References

[1] Jiao Sheng-jie, Tang Xiang-wei, Liu Hua. Development and status quo of intelligentized paver.

[2] TANG Zhen-zhou. The Analysis of Working Status of Asphalt Paver Attachment[J]. Equipment Manufacturing Technology, 2008, (11): 48-50.

[3] YAN Shi-rong, WEN Bang-chun. Simulation study of a nonlinear dynamics of compacting mechanism of a asphalt concrete road paver[J]. Construction Mechanization, 2000, (4): 10-13.

[4] Wang Run-bao. Dynamics Analysis and Application of Paver Vibrator [D]. Chang'an University, (2009).

[5] TIAN Jin-yu, LIU Gang, XIAO Zhong-yu, et al. Vibrating Character of Compacting Mechanism of Paver[J]. Chinese Journal of Construction Machinery, 2004, 2(2): 201-205.

[6] LI Bing, JIAO Sheng-jie. Asphalt mixture paver and construction technology[M]. Beijing: China Communications Press, (2005).

[7] P. Saucez, L. Some, A. Vande Wouwer. Matlab implementation of a moving grid method based on the equidistribution principle[J]. Applied Mathematics and Computation, 2009, 215 (5): 1821-1829.

DOI: 10.1016/j.amc.2009.07.034

[8] F. Logist, P. Saucez, J. Van Impe, et al. Simulation of (bio)chemical processes with distributed parameters using Matlab[J]. Chemical Engineering Journal, 2009, 155 (3): 603-616.

DOI: 10.1016/j.cej.2009.08.017

[9] H.S. Lee, C.J. Matthews, R.D. Braddock, et al. A MATLAB method of lines template for transport equations[J]. Environmental Modelling & Software, 2004, 19 (6): 603-614.

DOI: 10.1016/j.envsoft.2003.08.017

[10] James Irving, Rosemary Knight. Numerical modeling of ground-penetrating radar in 2-D using MATLAB[J]. Computers & Geosciences, 2006, 32 (9): 1247-1258.

DOI: 10.1016/j.cageo.2005.11.006

[11] Paolo Lino, Bruno Maione, Alessandro Rizzo. Nonlinear modelling and control of a common rail injection system for diesel engines[J]. Applied Mathematical Modelling, 2007, 31(9): 1770-1784.

DOI: 10.1016/j.apm.2006.06.001

[12] Dinh Quang Truong, Kyoung Kwan Ahn. Force control for hydraulic load simulator using self-tuning grey predictor-fuzzy PID[J]. Mechatronics, 2009, 19(2): 233-246.

DOI: 10.1016/j.mechatronics.2008.07.007

[13] Zhao Ji-yun, Zhang De-sheng, Lu Wen-cheng, et al. Design and experiment of hydraulic impact loading system for mine cable bolt[J]. Procedia Earth and Planetary Science, 2009, 1 (1): 1137-1342.

DOI: 10.1016/j.proeps.2009.09.206