Research and Realization of Hex Nut Standard Parts Library Based on Reusable Knowledge

2012 ◽  
Vol 476-478 ◽  
pp. 620-623
Author(s):  
Qi Chen ◽  
Lin Zhi Liao ◽  
Li Hua Fan ◽  
Yong Xing Liu
Keyword(s):  
Product Design ◽  
Structural Characteristics ◽  
Part Family ◽  
Standard Parts Library ◽  
Parts Library ◽  
Depth Study ◽  
Feature Based ◽  
Tool Set ◽  
The Cost ◽  
Assembly Tool

Product design requires a large amount of standard parts, But standard parts sort is various, In order to avoid duplication of work and Improve the efficiency of design, The establishment of standard parts library is very necessary, it Can reduce the repeated work and the cost. Using the expression and the function of part family, In the basis of searching a lot of material at home and abroad about establishment of standard parts library, combining with knowledge reuse technology, Based on the structural characteristics of the hex nut and assembly requirements, to standard parts matching, parameter-driven, fast assembly in-depth study, establish the standard parts library using parametric feature-based modeling approach, and provide fast assembly tool set, achieving standard parts intelligent assembly.

NX Reuse Library Workflow Based on Knowledge

2014 ◽  
Vol 687-691 ◽  
pp. 2521-2524
Author(s):  
Xiang Hui Zhan ◽  
Xiao Da Li
Keyword(s):  
Management System ◽  
Important Application ◽  
Part Family ◽  
Standard Parts Library ◽  
Standard Part ◽  
Parts Library ◽  
Reuse Library

In reuse library platform, realizing the reuse process of standard parts and common parts and building standard part management system are the important application during the whole design field. This paper introduces the method of customization standard parts library using part family, and realizes standardization management of reuse library. By creating KRX files, the knowledge components in reuse library are managed. Reuse library is an effective way to organize and use standard parts and common parts.

Modeling Method of 3D Standard Parts Library Based on Virtual Prototyping Technology

2012 ◽  
Vol 198-199 ◽  
pp. 577-580
Author(s):  
Zhi Ming Wang ◽  
Xuan Zhou
Keyword(s):  
Product Design ◽  
Virtual Prototyping ◽  
Modeling Method ◽  
Requirement Analysis ◽  
Design Requirement ◽  
Logical Relationship ◽  
Standard Parts Library ◽  
Parts Library ◽  
Virtual Prototyping Technology ◽  
Object Organization

This paper proposed a virtual prototyping-based modeling method of standard parts library. After the design requirement analysis, the modeling approach was put forward. Then the parameter-driven method and its use method were then proposed. The classes object organization relationship was identified step by step. The fastening feature tree structure logical relationship was present as an example, which demonstrates that this method is obviously helpful to product design.

Feature-Based Test Focus Selection Technique Using Classes Connections Weight

2016 ◽  
Vol 7 (1) ◽  
pp. 33-44 ◽  
Author(s):  
Iyad Alazzam ◽  
Mohammed Akour ◽  
Shadi Banitaan ◽  
Feras Hanandeh
Keyword(s):  
Time Constraints ◽  
Integration Testing ◽  
Development Cost ◽  
Static And Dynamic Analysis ◽  
Source Tracing ◽  
System User ◽  
Testing Cost ◽  
Feature Based ◽  
Good Mutation ◽  
The Cost

Testing could cost more than fifty percent of all development cost, particularly integration testing consumes around eighty percent of testing cost. Integration testing aims to discover errors in the connections among classes which are collaborate and communicate in order to provide specific services. Though, testing all connections among classes is impractical because of the cost, effort and time constraints. Test focus selection might help testers to concentrate on the main and vital connections among classes which it could be the most error prone ones. The authors proposed approach amalgamates the static and dynamic analysis in order to detect, trace, and weight the connections among classes through method level communications. Their approach harnessed an open source tracing tool (MUTT). The MUTT allows them to return all the methods in all classes that have been called respecting to any specific feature which has triggered by the system user. The experimental results reveal how the proposed approach achieves good mutation testing score on the systems under study.

Research on Rule-Based Reasoning Intelligent Selection System of Injection Mold Standard Parts

2010 ◽  
Vol 102-104 ◽  
pp. 432-435 ◽  
Author(s):  
Bai Zhong Wu ◽  
Bin Gao ◽  
Rong Song
Keyword(s):  
Rule Base ◽  
Injection Mold ◽  
Selection System ◽  
Rule Based ◽  
Standard Parts Library ◽  
Parts Library ◽  
Reasoning Mechanism ◽  
Selection Of

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.

On Thermal Expansion Induced Stresses in U-Bends of Shell-and-Tube Heat Exchangers

1979 ◽  
Vol 101 (4) ◽  
pp. 634-639 ◽  
Author(s):  
Krishna P. Singh ◽  
Maurice Holtz
Keyword(s):  
Thermal Expansion ◽  
Heat Exchangers ◽  
Structural Characteristics ◽  
Design Tool ◽  
Design Variables ◽  
Depth Study ◽  
Shell And Tube ◽  
Induced Stresses ◽  
Critical Regions ◽  
Effective Design

An analytical method is herein developed to evaluate the stress field in the critical regions of a U-tube subject to differential thermal expansion. The solution is intended to be used as a design tool to conveniently study the variation of geometric parameters on the U-tube stress distribution. Those design variables which have significant effects on the structural characteristics of the U-tube are identified by an in-depth study of a typical example problem. Some effective design remedies are also discussed.

Inverse Parametric Modeling From Independently Generated Product Data Sets

2002 ◽  
Author(s):  
Zhengdong Huang ◽  
Derek Yip-Hoi
Keyword(s):  
Product Family ◽  
Parametric Model ◽  
Parametric Modeling ◽  
Data Sets ◽  
Data Set ◽  
Product Families ◽  
Part Family ◽  
Product Data ◽  
Feature Based ◽  
Parameter Ranges

Parametric modeling has become a widely accepted mechanism for generating data set variants for product families. These data sets that include geometric models and feature-based process plans are created by specifying values for parameters within feasible ranges specified as constraints in the definition. The ranges denote the extent or envelope of the product family. Increasingly, with globalization the inverse problem is becoming important. This takes independently generated product data sets that on observation belong to the same product family and creates a parametric model for that family. This problem is also of relevance to large companies where independent design teams may work on product variants without much collaboration only to attempt consolidation later on to optimize the design of manufacturing processes and systems. In this paper we present a methodology for generating a feature-based part family parametric model through merging independently generated product data sets. We assume that these data sets are feature-based with relationships such as precedences captured using graphs. Since there are typically numerous ways in which these data sets can be merged, we formulate this as an optimization problem and solve using the A* algorithm. The parameter ranges generated by this approach will be used to design appropriate Reconfigurable Machine Tools (RMTs) and systems (RMS) for manufacturing the resulting part family.

scholarly journals Configuration and Registration of Multi-Camera Spectral Image Database of Icon Paintings

Computation ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 47
Author(s):  
Arash Mirhashemi
Keyword(s):  
Dynamic Range ◽  
Specular Reflection ◽  
Signal To Noise Ratio ◽  
Simulated Data ◽  
Image Database ◽  
High Dynamic Range ◽  
Registration Method ◽  
Spatial Registration ◽  
Feature Based ◽  
The Cost

At the cost of added complexity and time, hyperspectral imaging provides a more accurate measure of the scene’s irradiance compared to an RGB camera. Several camera designs with more than three channels have been proposed to improve the accuracy. The accuracy is often evaluated based on the estimation quality of the spectral data. Currently, such evaluations are carried out with either simulated data or color charts to relax the spatial registration requirement between the images. To overcome this limitation, this article presents an accurately registered image database of six icon paintings captured with five cameras with different number of channels, ranging from three (RGB) to more than a hundred (hyperspectral camera). Icons are challenging topics because they have complex surfaces that reflect light specularly with a high dynamic range. Two contributions are proposed to tackle this challenge. First, an imaging configuration is carefully arranged to control the specular reflection, confine the dynamic range, and provide a consistent signal-to-noise ratio for all the camera channels. Second, a multi-camera, feature-based registration method is proposed with an iterative outlier removal phase that improves the convergence and the accuracy of the process. The method was tested against three other approaches with different features or registration models.

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