Discussion on the Coordinated Development of Mechanical Design and Intelligent Manufacturing Algorithms

At present, there are problems such as information islands and insufficient feedback mechanisms in the mechanical design and manufacturing process, which make it difficult to respond to optimization needs in the manufacturing process in a timely manner. To solve the above problems, this paper constructs a mechanical design and manufacturing collaborative framework based on intelligent manufacturing algorithms. Through modular design, the topology optimization algorithm, digital twin technology and data feedback mechanism are integrated into the two-way data flow system of design and manufacturing. In the design stage, the topology optimization tool in FreeCAD is used for preliminary design optimization, and the NSGA-II algorithm and DEAP library are combined for multi-objective optimization. In the manufacturing process, the digital twin model of the manufacturing process is built through the SimPy library, which simulates the stress, error and deformation in the production process in real time and feeds back to the design process for adjustment. The information closed loop between the design and manufacturing process is also achieved through the data feedback mechanism. Compared with the traditional design and manufacturing process, the experimental results show that the proposed collaborative framework based on intelligent manufacturing algorithm ultimately improves the design efficiency by 46.41%, the manufacturing accuracy by 23.01%, and the material utilization rate by an average of 87.48%. The results show the application potential of this framework in the collaboration of mechanical design and manufacturing.