Simulation And Optimization Of Auto Radiator Assembly Line Based On Digital Factories

The docking of "industry 4.0" and "made in China 2025" will have great significance for intelligent manufacturing in the national strategic level.To achieve this goal,many emerging technologies will be generated and applied.The technology of digital factory will be widely used as the cornerstone of future intelligent factory.It covers the whole life cycle of products in the vehicle manufacturing process.The upstream and downstream suppliers and logistics delivery will be integrated into a platform to achieve full digitalization and information management.On this basis,intelligent manufacturing is gradually realized.This article will take the design and transformation project of the radiator assembly line in the vehicle plant as the research goal,and study the original radiator assembly line by techniques of method research and operation analysis,to find out the shortcomings and use the new scheme to plan the assembly line of the radiator.Then in the SIEMENS Tecnomatix digital manufacturing platform,The assembly line is modeled in the Process Designer and Process Simulation modules.The research focus is on the path planning of industrial robots and the production of mixed lines of different products.The optimal time and the lowest energy consumption is the goal of the path planning of industrial robots for the multi-objective optimization.The improved non-dominated sorting genetic algorithms(NSGA-II)is used to solve the target function,and the motion is satisfied.The Pareto front of the beam is used to select a set of solutions according to the actual engineering requirements.Then the solution is verified by the digital platform,which proves the effectiveness of the solution.In the end,the mixed line production of different products is taken as the research object.The standard genetic algorithm is used to calculate the sequencing of the two products.The total overloading time and the total idle time in the assembly process are the objective function,and the sequencing is carried out in the minimum production cycle of the two products.Finally,the optimal sequencing is obtained.It can guide the actual production.The radiator scheme design,scheme modeling and scheme validation are completed.