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1 March 1992 Development and introduction of a knowledge-based system for mechanical engineering
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Abstract
The system is designed for the configuration of industrial mixing-machines is assist members of the sales department. The process of configuration is split in two parts. In the process- engineering part, the mixing-machine is characterized by the kind of agitator and the number of revolutions in respect to the mixing task. In the second part, all components of the mixing- machine are determined with regard to the laws of mechanics. Different kinds of knowledge had to be implemented. Structural knowledge is represented by objects whereas algorithmic knowledge is coded in functions. Directed constraints are used to express causal dependencies. Technical parameters and available parts are stored in databases. These databases also serve as an interface to the existing CIM-system. The database-format chosen allows an easy maintenance of the data by various tools. The process of configuration is characterized by loops of feedback. Often parameters are needed before they can be computed, therefore they have to be pre-estimated. Later on they are checked and probably re-computed. Main decisions in the process of configuration are done by the user. The system supports the user by suggesting the cheapest components. The development of the system and the need for explanation of the expert knowledge has had an interesting side-effect: the revision of various methods and standards of the manufacturer. It turned out, that there are two different kinds of validation: the validation of process-engineerical and mechanical knowledge done by the experts and the usefulness for daily work examined by members of the sales department.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Norbert Laudwein and Axel Brinkop "Development and introduction of a knowledge-based system for mechanical engineering", Proc. SPIE 1707, Applications of Artificial Intelligence X: Knowledge-Based Systems, (1 March 1992); https://doi.org/10.1117/12.56908
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