Study of Low-Load Industrial Robot

Bei Yu Chen

doi:10.4028/www.scientific.net/AMR.774-776.1409

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 774-776Study of Low-Load Industrial Robot

Study of Low-Load Industrial Robot

Abstract:

In recent years, China's increasing demand for precision machining and auxiliary processing, technological innovation is increasingly urgent. After a summary and integration advantages of virtual prototyping and computer-aided software, developed a General Purpose low-load industrial robots. In this paper, the D-H method in MATLAB to establish a three-dimensional diagram of the industrial robot. Using ANSYS to do a check of the stiffness of the important components of the industrial robot mechanical systems. Finally, after the structure static analysis and verification, to improve the design of the structural components of the robot. Obtained according to the repeatedly comparison of the overall shape of variable verification data, which prove that the design is correct.

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Periodical:

Advanced Materials Research (Volumes 774-776)

Pages:

1409-1413

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.774-776.1409

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Online since:

September 2013

Authors:

Bei Yu Chen

Keywords:

Industrial Robot, Mechanical System, Static Emulation

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References

[1] Lu S H, Kumar P R. Distributed. Scheduling Based on Due Dates and Buffer Priorities. IEEE Transactions on Automatic Control, 1991, 36(12): 1406~1416.

DOI: 10.1109/9.106156

Google Scholar

[2] Osyczka. An Optimal Design of a Relief Mechanism of Industrial Robot. Proc 15th ISIR. 1985: 439~444.

Google Scholar

[3] Yueta Fang, Lung-Wen Tsai. Feasible Motion Solutions for Serial Manipulators at Singular Configurations[J]: Journal of Mechanical Design, 2003, 125: 77~82.

DOI: 10.1115/1.1543976

Google Scholar

[4] Liang, Sun Z Q, Mu C D. Optimal Motion Planning Passing through Kinematic Singularities for Robot Arms. IROS 2006. Beijing: IEEE Press. 2006: 4349~4351.

DOI: 10.1109/iros.2006.282008

Google Scholar

[5] Mahalingan S, Sharon A M. The Optimal Balancing of Robotic Manipulator. Proc of IEEE International Conference. 1986: 828~835.

Google Scholar

[6] Marco Ceccarelli. Designing Two-Revolute Manipulators for Prescribed Feasible Workspace Regions[J]: Journal of Mechanical Design, 2002, 124: 86~91.

DOI: 10.1115/1.1485743

Google Scholar

[7] Hu K, Song A, Xia M, et al. An Adaptive Filtering Algorithm Based on Genetic Algorithm-Backpropagation Network[J]. Mathematical Problems in Engineering, 2013, 2013.

DOI: 10.1155/2013/573941

Google Scholar

[8] Hu K, Song A G, Wang W L, et al. Fault Detection and Estimation for Non-Gaussian Stochastic Systems with Time Varying Delay[J]. Advances in Difference Equations, 2013, 2013(1): 22.

DOI: 10.1186/1687-1847-2013-22

Google Scholar