Papers by Keyword: Rule-Based Reasoning

Abstract: In manufacturing process, reasonable tool selection can greatly improve the efficiency and reduce the cost of machining. In order to obtain optimized tool solutions, object-oriented approach to the classification and description of the machining features are presented in this paper. Machining features by means of object-oriented classes, attributes and methods are described. Efficient processing information for tool selection is extracted. Tool selection model based on the machining features is established. Cutting tool intelligent selection is implemented through rule-based reasoning. This work will help the process planners to select more reasonable cutting tools.

Abstract: Aiming at the knowledge representation problem in emergency logistics, this paper presents an ontology-based modeling framework for emergency distribution decision. The suggested ontology model includes the meta-ontology, the domain ontology and the upper relationship, and it can be extended to meet the various requirements in emergency logistics application. As an illustrative example, an instance of Location Routing Problem (LRP) is defined using proposed ontology model, and a rule-based reasoning experiment is developed with Jena. The result of experiment demonstrates the effectiveness of the ontology modeling framework, which can be used as an important complement to traditional optimization methods for emergency distribution decision.

Abstract: Considering the problems of the current cutting tools, such as wide varieties, low management efficiency, high cost and selection difficulty, this paper builds a cutting tools total life cycle management system model, by using the total life cycle management concept the total life cycle management of the milling cutters from purchasing to the use and discarding is realized. In this paper, through researching on cutters selection law, rules for milling cutters selection is made and intelligent cutters selection system is established with rule reasoning method.

Abstract: The smelting process of fused magnesium furnace is a huge energy consuming process with nonlinear, current coupling and boundary conditions fluctuation. The smelting process stability is guaranteed by adjusting the three-phase electrode currents to achieve the control objective. In the past, the adjustment of electrode currents are manual control completely and the control effect is very poor, the currents fluctuation is very huge which lead to the instability of the product quality and great energy waste. As such, an intelligent control system is developed for fused magnesium furnace based on neural network (NN) algorithms and rule-based reasoning (RBR). The control objective for system is to reduce the energy consumption as much as possible under the constraint of insuring the product quality. The industrial application shows the validity and effectiveness of the proposed system.

Abstract: An electro-fused magnesia furnace (EFMF) is used to produce electro-fused magnesia. Due to the complex dynamic characteristics of the EFMF production process, it is difficult to achieve the satisfactory control performances only by the independent conventional control method. As a result, the lower loop control with manual operations is still widely used in practice. However, the manual operation cannot ensure that the actual production qualities and the energy consumption of unit production meet the technical requirements all the time. In this paper, an intelligent operation control strategy is developed for the EFMF to automatically adjust the setpoints of the lower level control system. Based on the proposed intelligent control strategy, an intelligent control system for the EFMF is built and implemented on site. Industrial application has demonstrated that the intelligent control system can achieve reliable, accurate and timely control performances.

Abstract: This document proposes a method of conceptual design of electromechanical products based on KBE(knowledge-based engineering), in order to improve the efficiency of the conceptual design about electromechanical products and avoid the repetitive work of the traditional design, then establishes a system model for that. it completes the conceptual design of products through data mining, rule-based reasoning and other key technologies. A case of reducer design shows that the method is feasible and practical for the conceptual design of electromechanical products.

Abstract: Design of hydraulic manifold blocks is a kind of complex solid special layout problem. Due to the complexity of the manifold blocks layout, intelligent optimization design system of the hydraulic manifold blocks is presented based on rule-based reasoning. The key of the manifold design is the hole’s connection, and the special layout of manifold is introduced. Based on the relative position and connection relationship of the holes, special mathematic model and rule-based reasoning are proposed for the holes layout and connection design. Rule-based reasoning which is used to guide algorithm search direction is proposed according to the holes special location. Goal actuation control strategy is adapted to search a group of optimization solution which is satisfied with the connection requirement. An example of hydraulic cartridge manifold block of high-speed bar cutting machine is given. It is testified that single line net algorithm satisfies the design requirement of real time checking, the shortest connection route and minimum number of craft hole.

Abstract: The use of rule-based reasoning technology can realize the intelligent selection of mold standard parts when designing injection mold. In this paper, the selection experience of mold standard parts are stored to databases for scientifically choosing mold base, sprue bushings, ejector pins, and other standard parts. And through the establishment of a rule base, reasoning mechanism, standard parts library, a rule-based reasoning intelligent selection system of injection mold standard parts is proposed and details of the proposed approach are presented.

Abstract: Though rule-based reasoning system is easy to create and convenient to extend, it is not flexible because of the demand for precise matching. Geometric reasoning system can obtain engineering semantic from CAD model and connect geometric topology with design knowledge, but it can not drive product design directly. Utilizing the complementary of rule-based reasoning and geometric reasoning, a product design method based on integrated geometric and rule-based reasoning is presented. The method can standardize the expression of design scheme which is from geometric reasoning, and dock seamlessly design scheme and input condition in rule-based reasoning system. Furthermore, the result of rule-based reasoning can drive product design directly. The operation of human-computer interaction and designer’s experience needed are decreased greatly. Digital target in locater is significant to harmonize aircraft tie-in. there are different types in it, and the amount of it is huge, so its design process is complicated and fussy. On the basis of the method, a rapid design software package for locator digital target design is developed and has been applied in aircraft assembly tooling design. The application has proved the method can improve design efficiency, standardization and intelligence.

Abstract: Rule-based reasoning (RBR) and weight decision making have been widely used in a lot of decision support systems. According to the waste phenomenon of manufacturing corporations due to the reasonless use of tools during production process, and considering the characteristics of former tool selection systems, develop a tool optimal selection system with Visual Basic 6.0 as development tool and SQL Server 2000 as database developing platform. The system adopts the rule-based reasoning and weight decision-making theory, combines fuzzy theory, artificial intelligent technology and production conditions of corporations. According to the information of workpiece and processing conditions imported by users, the system can select the reasonable tools for users. The system overcomes the limitation of single theory tool selection system, simplifies reasoning mechanism and structure of knowledge base, makes programmer easy to realize, promotes operation efficiency of system, and raises the accuracy and efficiency of tool selection in actual production. A developed prototype system and an example have verified some presented techniques and the research results are the basis of the future development.