Catia description and application of knowledge engineering solutions knowledge is captured and formalized, so engineers can use it directly, with a certain degree of automation, in order to achieve optimal efficiency. 1. The knowledge adviser (knowledge advisor) provides tools for translating knowledge into design rules, inspection items, equation groups, design forms, linkages, etc. To achieve integration of knowledge into design processes, reduce design errors and provide support for decision-making. It also serves to preserve expert knowledge and to protect the role and relevance of expert knowledge. 2. Product knowledge template. Users can easily cross-captulate engineering knowledge and methods and use them efficiently. It helps enterprises share the best experiences and avoids being rendered inoperable by being too complex to understand. It does not require skilled programmers, but all engineers can capture and share knowledge within the enterprise. For extended enterprises that need to work with suppliers, it can also achieve the dissemination of design data to partners while protecting knowledge assets such as embedded design methods and rules. Using a " product knowledge template " , you can generate interactive tabulation templates at the feature level, the part level, and the component level. These design templates contain geometric definitions, relevant parameters and related knowledge. 3. The product engineering optimiser uses the product engineering optimiser, which allows users to easily view possible design alternatives and allows for the use of two complementary tools: pilot design and target design; and accurately optimize design. Experimental design (design of experiments:) it is often difficult for us to obtain, or quickly determine, the optimal configuration of the design, because the design parameters (e. G. Length, mass, deformation, etc.) have a variety of combinations. The product engineering optimizationr allows the user to conduct a false test taking into account all parameters to be considered. So the pilot design allows users to: analyse the interaction of parameters; predict the parameters; and identify those parameters that have the most impact. Pilot design is a commonly used and effective method of browsing and optimizing design. It can significantly reduce the number of repetitions of designs, thereby avoiding the cost of design and increasing efficiency. Design by goal the product engineering optimizer helps users define the objectives of optimization and the means of multidisciplinary optimization. The defined target-driven system determines the best design options. 4. Knowledge specialists (knowledge express) enable expert designers to build and share business knowledge in the rules group and use knowledge within the enterprise to ensure that the design meets established standards. These rules capture and automate knowledge processes, such as best practices, application processes and design validation and change. 5. Business process knowledge template (bpr) business process knowledge template is currently the first tool to allow users to model any of their best experiences and knowledge. It is done in a very simple and intuitive manner, without the need for coding. First, experts capture, model and automate design and engineering tasks and embed core knowledge rules in the mission. Step two, the best experiences captured are published within the enterprise as a custom v5 application (including the required features and process knowledge). The business process knowledge template utilizes the broad functional modules of catia v5 and integrates their functionality in a robust process-driven manner. The end-users can use these custom v5 applications in the same way as the modules in catia. Users can create products using the best experience defined by experts. By using the business process knowledge template, it takes a lot of time to do a duplicate design, a task that can be done through a knowledge-driven auto-design template, so that users can use more energy and time to innovate. The application of the catia knowledge engineering tool the application of the catia knowledge engineering application tool allows for the following: so that the purpose of a new design that meets new design requirements and new design constraints is achieved automatically by using an existing design. Not only does catia contain the geometric properties of the product, but we can add its key properties and lines to the product model to achieve the introduction of design intent and design requirements or design limitations in the product model. In product modelling, the design intent, design requirements, or design limitations are fully reflected in the design process by publishing linkages, needs, validation, rules, reactions, equations, and variations. In this way, when an engineer faces a new design task of the same type, he can directly call on an existing design and, by modifying the design intent, design requirements, or design limitations, the system achieves the automatic transformation of the model, so that the deformed model meets the new design environment. The following benefits can be derived from the use of deforming designs: reuse existing design results to generate new design to increase design flexibility and agility. By the last minute, all design elements will be available
