Manipulation and handling processes off-line programming and optimization with use of K-Roset

5th ModTech International Conference - Modern Technologies in Industrial Engineering

Golda, G.^1 ; Kampa, A.^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: CNC machine tools;    Handling process;    Logistics process;    Minimizing the number of;    Modelling process;    Off line programming;    Robotized production;    Technological process;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/227/1/012050/pdf
DOI  :  10.1088/1757-899X/227/1/012050

来源: IOP

【 摘 要 】

Contemporary trends in development of efficient, flexible manufacturing systems require practical implementation of modern "Lean production" concepts for maximizing customer value through minimizing all wastes in manufacturing and logistics processes. Every FMS is built on the basis of automated and robotized production cells. Except flexible CNC machine tools and other equipments, the industrial robots are primary elements of the system. In the studies, authors look for wastes of time and cost in real tasks of robots, during manipulation processes. According to aspiration for optimization of handling and manipulation processes with use of the robots, the application of modern off-line programming methods and computer simulation, is the best solution and it is only way to minimize unnecessary movements and other instructions. The modelling process of robotized production cell and offline programming of Kawasaki robots in AS-Language will be described. The simulation of robotized workstation will be realized with use of virtual reality software K-Roset. Authors show the process of industrial robot's programs improvement and optimization in terms of minimizing the number of useless manipulator movements and unnecessary instructions. This is realized in order to shorten the time of production cycles. This will also reduce costs of handling, manipulations and technological process.