employee
Bryansk, Bryansk, Russian Federation
We consider the construction of dynamic models of manipulation robots in the software package "Universal Mechanism» (UM) on the basis of 3D-models of robots developed in specialized CAD-systems.
industrial robots, dynamic models, 3D-models, CAD-systems.
1. Krakhmalev, O.N. Mathematical modeling of manipulative systems dynamics of industrial robots and cranes manipulators: Monograph / O.N. Krakhmalev. – Bryansk: BSTU, 2012. –200 p.
2. Krakhmalev, O.N. The generalized forces acting parts of industrial robots / O. N. Krakhmalev, A. P. Boldyrev // Bulletin of Bryansk State Technical University. – 2011. –№1. – pp. 115-121.
3. Krakhmalev, O.N. Technique analysis of inertia forces influence on dynamics of industrial robots / O.N. Krakhmalev // Theory of mechanisms and machines. – 2012. – No. 20. – Vol. 10. – pp. 41-53.
4. Krakhmalev, O.N. Optimization of motion laws when modeling dynamics of industrial robots / O.N. Krakhmalev, D.M. Medvedev, D.I. Petreshin // Bulletin of Bryansk State Technical University. – 2014. –№1. – pp. 27-30.
5. Fedonin, O.N. Scientific basis of the choice of machining conditions at surface plastic deformation / O.N. Fedonin, S.V. Steposhina // Bulletin of Bryansk State Technical University. – 2011. – No. 1. – pp. 4-8.
6. Fedonin, O.N. Accounting errors of control in the balance accuracy CNC lathes / O.N. Fedonin, D.I. Petreshin, A.V. Handozhko, A.V. Ageenko // Bulletin of Bryansk State Technical University. – 2013. –№3. – pp. 55-57.
7. Finatov, D. N. Machine-assembling robotic technology complex / D.N. Finatov, D.I. Petreshin, G.V. Goryachev // Metal Processing: technology, equipment, tools. – 2003. – No. 1. – pp. 4-6.
8. Petreshin, D.I. Functionality expansion of CNC machines by organizing the connection between PC and CNC unit in building of an adaptive control system / D.I. Petreshin, O.N. Fedonin, V.P. Fedorov, A.V. Handozhko, V.A. Handozhko // Bulletin of Bryansk State Technical University. – 2011. –№4. – pp. 4-9.
9. Petreshin, D.I. Application of a laser optical sensor control for measurement of high-altitude parameters of machines details surface roughness in self-learning adaptive technological system / D.I. Petreshin // Control. Diagnosis. – 2009. – No. 11. – pp. 53-57.
10. Suslov, A.G. Determination of the control’s laws for adaptive technological system when ensuring set quality parameters of surface machine parts layer during mechanical treatment / A.G. Suslov, D.I. Petreshin // STIN. – 2010. – No. 1. – pp. 30-36.
