The quality of castings can be studied from the point of view of characteristics. Process characteristics play a very important role in the quality of products. It has a certain relationship with carbon emissions, production costs, energy consumption and so on. Relevant scholars establish a topological diagram of the relationship between features by connecting general size parameters and detailed feature description of design and cost information, so that the cost items can be estimated. Using the different feature sequences of machine tool cutting scheme and non-cutting scheme, the genetic algorithm of MTE model is proposed, and the processing time is reduced by 20.69%. The intelligent system of machining features developed in the field of CAD/CAM can analyze each feature and automatically create workpiece data structures to help process planning / manufacturing engineers.
The study of process characteristics can also effectively make the choice of process planning. The feature recognition algorithm can match the castings with similar three-dimensional structure and size, recommend the technological process of similar castings, and provide reference for the process design of new castings. On the basis of applying machining constraints to product model design to obtain machining features, a method of generating product features using product description and machining knowledge in the design stage is proposed . A feature-based remanufacturability evaluation method is used to evaluate remanufacturability by using the comprehensive information of bill of materials, fit features, tolerances and dimensions in CAD, which is applied in sustainable product development. However, at present, there are few energy-saving studies on the process design characteristics of casting products. The study of characteristics needs to meet the needs of the ever-changing production conditions in casting. Therefore, it is very important to study the characteristics of products related to energy saving and emission reduction.
An important indicator of energy saving and emission reduction in theis carbon emissions, which can not only represent the energy and resource consumption of the manufacturing process, but also directly reflect carbon dioxide emissions. Therefore, taking carbon emission as an important research index, the quality of castings and various input and output resources (energy, carbon emissions, etc.) and the relationship between them and process design characteristics are studied, and a carbon benefit model is established. thus, the energy saving and emission reduction performance and benefit of the can be evaluated, and the optimization of the process can be guided.