Research and Development of Intelligent Design System for Machine Tool Fixture Based on KBE

2011 ◽  
Vol 228-229 ◽  
pp. 17-22
Author(s):  
De Fang Liu ◽  
Hong Pan Wu ◽  
Li Ying Li

In this paper, KBE and some key technologies, such as knowledge representation, knowledge reasoning and knowledge base design, are studied for solving the exiting design problems of modular machine tool fixtures. The methods of hybrid knowledge representation based on ontology and rule-based and case-based hybrid reasoning are introduced to intelligent design of modular machine tool fixtures. By researching the design flow of modular machine tool fixtures, a modular machine tool fixtures intelligent design system (MMTFIDS) is developed based on secondary development technology of UG/NX in the VS.NET integrated development environment. The system realizes the reuse of design knowledge and rapid design for modular machine tool fixture.

2012 ◽  
Vol 569 ◽  
pp. 737-740
Author(s):  
Yuan Jing Sun ◽  
Lei Wang

A parametric design system of axial piston pump was built, based on secondary development of Pro/Engineer, in Visual C++ 6.0 development environment, which can improve design efficiency. Taking a piston of axial piston pump as an example, contents and method of parametric design of axial piston pump were expounded.


2011 ◽  
Vol 338 ◽  
pp. 304-310
Author(s):  
Yung Yuan Hsu

The purpose of this study was to construct a knowledge-based CAD/KBE system for the optimal design of golf heads. The inability of conventional CAD systems to identify existing knowledge during design and manufacturing processes is a current development bottleneck. Therefore, this study attempted to effectively introduce and integrate KBE technology into a CAD system, so as to achieve the objective of knowledge driven automation (KDA). This study selected golf iron heads with a complex-design surface as the research subject, adopted commercial CAD software (UG/NX) and its secondary development environment as a platform and applied perturbation vectors in the control of NURBS free-form surfaces. We changed the CAD’s entity shapes and physical properties, integrated the optimal principle of design with a CAD solid model, to automatically drive the CAD solid model of golf iron heads according to the design objectives, and constructed a knowledge-based optimal CAD design technology.


2014 ◽  
Vol 1061-1062 ◽  
pp. 822-828
Author(s):  
Lin Zhen Zhou ◽  
Qi Gu ◽  
Qing Zhu Li

This research probes into the application of knowledge based engineering (KBE), including acquision, expression and deduction of design knowledge, in rapid design system. Following the concept of modular design and in accordance with the characteristics of machine tool design, it develops a rapid design system for modular machine tool. The design flow of this system is dominantly top-down. It can inherit and reuse design knowledge and realize rapid design of modular machine tool. System development platform and development tools are introduced in this paper. The system’s efficiency and quality are illustrated by a case design.


2013 ◽  
Vol 765-767 ◽  
pp. 47-50
Author(s):  
Yan Ling Zhao ◽  
Chun Yu Che ◽  
Hong Bo Wang ◽  
Zi Yan Yun ◽  
Guan Hong Xu

In the process of designing aeronautic composite mold parts, previous designing knowledge and expertise cant be well used, the cycle of parts modeling is long and its production efficiency is low. According to the classification and characteristics of aeronautic mold parts and the knowledge engineering technology, based on the fusion module in UG6.0, we establish its repository by the knowledge acquisition, knowledge representation and knowledge reasoning of aeronautic mold parts. With the UG secondary development tools, UG/Open Menuscript and UG/Open Uistyler, we develop user menu and parametric design interface of aeronautic mold parts, make good use of its designing knowledge, and fulfill the knowledge-driven parts parametric design. They satisfy the rapid design requires of aeronautic mold parts and shorten its designing cycle.


2012 ◽  
Vol 522 ◽  
pp. 313-318 ◽  
Author(s):  
Jing Li ◽  
Xiang Jun Zou ◽  
Hong Jun Wang ◽  
Yan Chen

Because of the universality, complexity and uncertainty of mechanical design knowledge, knowledge reasoning and integration of intelligent design system was one of the difficult problems. The valuation of weight by human was used in many methods for knowledge reasoning at present. In order to make the intelligent product design become more scientific and rational, and eliminate the subjective human factors, a method for reasoning using information entropy was proposed. First, by means of the advantage of the relational database include the redundancy, consistency and integrity, the mechanical product design knowledge base was established. Second, based on the information entropy theory, the weight of each attribute was calculated directly through the objective information. Third, based on the objective data in the original sample, the method for calculating the similarity between accurate attributes and uncertainty attributes and design schemes was given. Finally, this method was verified by fruit picking robot intelligent design system, and the result showed that it is objective and effective.


1996 ◽  
Author(s):  
Steven L. Puterbaugh ◽  
William W. Copenhaver ◽  
Chunill Hah ◽  
Arthur J. Wennerstrom

An analysis of the effectiveness of a three-dimensional shock loss model used in transonic compressor rotor design is presented. The model was used during the design of an aft-swept, transonic compressor rotor. The demonstrated performance of the swept rotor, in combination with numerical results, is used to determine the strengths and weaknesses of the model. The numerical results were obtained from a fully three-dimensional Navier-Stokes solver. The shock loss model was developed to account for the benefit gained with three-dimensional shock sweep. Comparisons with the experimental and numerical results demonstrated that shock loss reductions predicted by the model due to the swept shock induced by the swept leading edge of the rotor were exceeded. However, near the tip the loss model under-predicts the loss because the shock geometry assumed by the model remains swept in this region while the numerical results show a more normal shock orientation. The design methods and the demonstrated performance of the swept rotor is also presented. Comparisons are made between the design intent and measured performance parameters. The aft-swept rotor was designed using an inviscid axisymmetric streamline curvature design system utilizing arbitrary airfoil blading geometry. The design goal specific flow rate was 214.7 kg/sec/m2 (43.98 lbm/sec/ft2), the design pressure ratio goal was 2.042, and the predicted design point efficiency was 94.0. The rotor tip sped was 457.2 m/sec (1500 ft/sec). The design flow rate was achieved while the pressure ratio fell short by 0.07. Efficiency was 3 points below prediction, though at a very high 91 percent. At this operating condition the stall margin was 11 percent.


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