会议论文详细信息
6th ModTech International Conference - Modern Technologies in Industrial Engineering
Experimental analysis of dynamic parameters of the robot's drive
Banas, W.^1 ; Gwiazda, A.^1 ; Sekala, A.^1 ; Foit, K.^1 ; Cwikla, G.^1
Silesian University of Technology, Faculty of Mechanical Engineering, Institute of Engineering Processes Automation and Integrated Manufacturing Systems, Konarskiego 18A, Gliwice
44-100, Poland^1
关键词: Dynamic parameters;    Experimental analysis;    Incomplete knowledge;    Machine wear;    Material consumption;    Production velocity;    Tool wear;    Working time;   
Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/400/5/052001/pdf
DOI  :  10.1088/1757-899X/400/5/052001
来源: IOP
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【 摘 要 】

Nowadays, can be observe an increase in production velocity due to better use of machines. More and more efficient use of machines requires better knowledge of their parameters, especially dynamic parameters. Incomplete knowledge of the parameters increases the safety factor that must be used to make the machine work safely. It reduces the dynamics of the machine, and in consequence of working time is longer. Reducing working time by up to several seconds in one cycle brings measurable benefits in production. It is possible to experimentally shorten the working time, but it requires a lot of tests that need to be done. The machine must be bought for testing. Testing results in machine wear, tool wear and material consumption. It takes a lot of time and work of specialists in difficult conditions. Even a small error during these tests can result in the destruction of the machine and its surroundings. The use of software in which the models are more accurate not only shortens the time of entering the machine into production, but also enables its better use. It is also possible to carry out more experiments before buying a machine and the machine's behaviour is more predictable.

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