Research And Development On The Machinability Analysis Of Key Firearm Part

As an important link in the development process of firearms,the analysis of the machinability of the structure of the heavy parts of firearms plays a vital role in improving the one-time pass rate of the processing and production of heavy parts of firearms,shortening the research and development cycle,and improving production efficiency.Aiming at the complexity of structural features of firearms,this paper proposes a machinability analysis method based on processing feature recognition technology and machinability analysis and reasoning technology,and develops corresponding firearms based on UG platform.Part structure machinability analysis tool.The paper firstly defines the processing features of firearm critical parts according to their structural functions and structural manufacturability analysis,and then maps the design features of firearm critical parts to processing features,and divides their processing features into general features and special-purpose features according to the mapping results.There are two types of features.According to the ER diagram of the processing features of firearms,the predefined processing feature library is established.Aiming at the general processing characteristics of firearms,the three-dimensional information model of the firearms is firstly analyzed from the geometric information and topology information,and its topology structure is obtained,and the processing feature attribute adjacency graph is established.On this basis,the construction of the attribute adjacency matrix is completed.Finally,Match it with the predefined machining feature library to realize the general machining feature recognition of the important parts of firearms.Aiming at the special processing features of heavy-duty firearms,firstly establish a data set of processing features of heavy-duty firearms,and then build a convolutional neural network model of processing features based on image recognition,establish a classifier of processing features of heavy-duty firearms,and use the cross entropy loss function to calculate The model loss value,combined with the gradient descent method to optimize the model,realizes the special processing feature recognition of firearms critical parts.The thesis extracts the knowledge of the structural machining rules of firearms close-heavy parts from the existing design examples of firearms close and heavy parts,processing examples of close-heavy parts,expert experience in the design and processing of firearms close-heavy parts and scientific research practice,and adopts forward reasoning strategy.The hybrid reasoning method combined with the reverse reasoning strategy is used to analyze and reason about the processing characteristics of the firearms.On the basis of the above research,a combination of the python language based on the PyCharm platform and the C language based on the VS platform was used to develop a machinability analysis module for the structure of firearms under the UG software platform.Some of the complex critical components have been example run and verified.