Gear Drive Design Knowledge and Data Analysis Mechanical design is a complex, ill-conditioned problem that requires extensive design knowledge and solution support. The knowledge and data used in gear transmission can usually be divided into the following categories:
The first category is control knowledge. It controls the entire design process according to the specific characteristics of the gear design, design requirements and design environment. This knowledge is often based on factors such as the designer's design experience, design environment, and design conditions.
The second type of knowledge is the design of principle knowledge. Many problems in gear transmission design have been summarized into specific mathematical models, such as contact strength and bending strength calculations and reliability calculations in gear transmission design. We can characterize it using numerical calculations and modern design methods. This type of knowledge is part of the more accurate and important part of the drive design. Relatively speaking, we can better grasp this part of the knowledge by using mathematical tools and basic theory of design.
The third category is reasoning and judgmental knowledge. '汝口何 According to the use environment of the transmission, etc., the overall scheme of the transmission, the material of the wheel and the heat treatment are determined. This type of knowledge is empirical knowledge that solves specific problems and is a summary of the knowledge and experience of experts who have long been engaged in design work in this field. In addition, a large amount of data, charts and standards are used in the design calculation process. The search for these data charts often accounts for a large part of the workload in traditional designs. These data and charts can also be said to be data knowledge in gear transmission design.
The knowledge and data of the intelligent CAD system of the tooth grab drive represent the knowledge of the above aspects in the gear-driven intelligent CAD system we developed, and constitute a smart CAD system with good performance. This system integrates the modern design method of expert system technology, traditional CAD technology and gear drive reliability calculation and optimization calculation, which solves many problems in gear transmission design. In this system, the representation of knowledge and data adopts the following methods: using framework to represent control and state knowledge; using rules to express heuristic knowledge; using process to represent algorithmic knowledge; using traditional CAD data processing techniques to process large amounts of data and charts know how.
Our gear-driven intelligent CAD system is based on a layered, tool-supported intelligent platform. The system design uses various tools of the platform tool layer (such as frame system tools, rule system tools, transmission calculation tools, etc.) to form a specific instance layer, and its design tasks are divided into many modules according to sub-tasks. One or more knowledge representation methods are used for task requirements.
The frame representation is in the system and the screw unit frame is used to represent control knowledge and status knowledge. The gear drive design process can be viewed as a chain sequence that gradually determines the various parameters of the drive based on known conditions. In this process, what subtask should be performed currently, and the solution method for performing the task should be determined according to the current state of the design. In the system we use frameworks and control programs to work together on the execution of the design process. The framework represents both the subtasks that the process needs to execute and the current state of the design. The framework is supported by the system's framework tools. For unknown slots, the framework and the master control program automatically call the appropriate process or reasoning method to fill in the corresponding slot values, allowing the design process to continue. At the same time, the framework also records the design state and design solution. When all the frames are filled in the appropriate slot values, the entire design process is completed.




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