The ideas of feature-based parametric modeling

2003 ◽  
Author(s):  
Fu Qiang ◽  
X. YunShi
Keyword(s):  
Parametric Modeling ◽  
Feature Based

Automatic Parametric Modeling From Non-Feature Based Designs for Additive Manufacturing

2021 ◽  
Author(s):  
Xinyi Xiao ◽  
Byeong-Min Roh
Keyword(s):  
Additive Manufacturing ◽  
3D Models ◽  
Parametric Modeling ◽  
Parametric Models ◽  
Performance Simulation ◽  
Cad Modeling ◽  
3D Cad ◽  
Feature Based ◽  
And Performance ◽  
The Given

Abstract The integration of Topology optimization (TO) and Generative Design (GD) with additive manufacturing (AM) is becoming advent methods to lightweight parts while maintaining performance under the same loading conditions. However, these models from TO or GD are not in a form that they can be easily edited in a 3D CAD modeling system. These geometries are generally in a form with no surface/plane information, thus having non-editable features. Direct fabricate these non-feature-based designs and their inherent characteristics would lead to non-desired part qualities in terms of shape, GD&T, and mechanical properties. Current commercial software always requires a significant amount of manual work by experienced CAD users to generate a feature-based CAD model from non-feature-based designs for AM and performance simulation. This paper presents fully automated shaping algorithms for building parametric feature-based 3D models from non-feature-based designs for AM. Starting from automatically decomposing the given geometry into “formable” volumes, which is defined as a sweeping feature in the CAD modeling system, each decomposed volume will be described with 2D profiles and sweeping directions for modeling. The Boolean of modeled components will be the final parametric shape. The volumetric difference between the final parametric form and the original geometry is also provided to prove the effectiveness and efficiency of this automatic shaping methodology. Besides, the performance of the parametric models is being simulated to testify the functionality.

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.

Development of a Blade Parametric Modeling Methodology for Design and Analysis of Computer Experiments

2015 ◽  
Author(s):  
Zafer Leylek ◽  
A. J. Neely
Keyword(s):  
Physical Space ◽  
Computer Experiments ◽  
Parametric Modeling ◽  
Rotor Blades ◽  
Geometric Feature ◽  
Physical Parameters ◽  
Base Line ◽  
Turbine Stator ◽  
Modeling Methodology ◽  
Feature Based

This paper will present an enhanced parametric modeling technique for gas turbine stator and rotor blades. The enhanced blade parametric modeling system has been developed as part of a wider research program into global surrogate modeling of compressor and turbine aerodynamic performance using Design and Analysis of Computer Experiments (DACE) based techniques. The proposed method is based on a hybrid of geometric feature and Non-uniform Rational B-Spline (NURBS) based techniques. A base-line geometry is defined using the physical parameters and represented using NURBS curves and surfaces. A number of constraints are then imposed on the parametric model to ensure that DACE techniques can be effectively utilized. This is accomplished by mapping the geometric feature based parameters from the physical space to an alternative parametric space so that all feasible and numerically stable blade configurations can be represented using a unit hyper-cube. This method ensures a one-to-one mapping between the parametric sub-space and the geometric feature based system. The mapping is geometrically and numerically stable and does not produce ill-conditioned and unrealistic blade geometries. The development of the blade parametric modeling process allows the application of the complete suit of DACE tools and techniques. The method is valid for all axial blade profiles which include compressor and turbine stator and rotor blades.

A Feature-Based CAD-CAE Integrated Approach of Machine Tool and its Implementation

2011 ◽  
Vol 201-203 ◽  
pp. 54-58 ◽  
Author(s):  
Wen Tie Niu ◽  
Peng Fei Wang ◽  
Yu Shen ◽  
Wei Guo Gao ◽  
Li Na Wang
Keyword(s):  
Machine Tool ◽  
Dynamic Analysis ◽  
Parametric Design ◽  
Application Programming Interface ◽  
Integrated Approach ◽  
Parametric Modeling ◽  
Feature Model ◽  
Static And Dynamic Analysis ◽  
Cad System ◽  
Feature Based

An analysis feature-based CAD-CAE integrated approach was proposed to solve the problems of rapidly CAE modeling for static and dynamic analysis process of machine tool. Firstly, analysis features were defined in CAD system and analysis feature library was constructed for machine tool and its structural components. Secondly, analysis feature model was constructed by attaching analysis feature to CAD model interactively. Finally, ANSYS parametric design language (APDL) file was generated automatically by mapping analysis features to APDL codes, which realized the integration of CAD system and ANSYS system. Based on application programming interface (API) of SolidWorks, a parametric CAD-CAE tool oriented to static and dynamic analysis of machine tool was developed, which realized parametric modeling and automatic analysis of machine tool and improved design efficiency and quality of machine tool.

Research on Three-Dimensional Reconstruction Technology Based on the Data of Hybrid Measurement

2014 ◽  
Vol 1039 ◽  
pp. 30-35
Author(s):  
Wei Liu ◽  
Lu Yue Ju ◽  
Cheng Hui Lin
Keyword(s):  
Point Cloud ◽  
Three Dimensional ◽  
Point Clouds ◽  
Parametric Modeling ◽  
Three Dimensional Reconstruction ◽  
Three Dimensional Model ◽  
Registration Method ◽  
Engine Part ◽  
Dimensional Reconstruction ◽  
Feature Based

Hybrid measurement method is proposed to solve the problem that the partial or whole three-dimensional reconstruction accuracy of aviation engine parts is high. The point clouds of the aviation engine part are captured first using contact and non-contact measuring method. Feature-based parametric modeling strategy is adopted to reconstruct the aviation engine part so that it is easy to be modified in the future. Then, the point cloud data obtained by contact measurement and the reconstructed model are registrated to the same coordinate system to detect the deviation. The point cloud registration method is based upon the feature-based registration method and standard Iterative Closest Point (ICP) algorithm, which help to improve the accuracy of registration. According to the result of deviation, the three-dimensional model can be modified. The accuracy of the modified model is controlled within 0.02mm, satisfying the requirement of aviation engine parts. Three-dimensional reconstruction results have verified the feasibility of the method.

Applications of Pro/Program in Parametrical Modeling of Mechanical Components

2010 ◽  
Vol 426-427 ◽  
pp. 325-329
Author(s):  
J.L. Song
Keyword(s):  
Parametric Modeling ◽  
Modeling Method ◽  
Feature Modeling ◽  
Spur Gears ◽  
Technical Term ◽  
Modeling Techniques ◽  
Mechanical Products ◽  
Feature Based ◽  
Mechanical Components ◽  
Efficient Modeling

Based on parametric techniques, feature techniques, and feature-based parametric modeling techniques, the system of the parametric feature modeling techniques family and its modeling method were put forward to realize rapid and efficient modeling. The technical term of family table, the steps and characteristics of family table modeling were proposed firstly. Then, Pro/program and its application in the parametric modeling of mechanical products were discussed in detail, and a feature-based parametric prototype was developed by UDF. Finally, a running example of feature-prototype for spur gears was given to demonstrate the validity and efficiency of the feature-based parametric modeling techniques family.

Parametric Modeling of Part Family Machining Process Plans From Independently Generated Product Data Sets

2003 ◽  
Vol 3 (3) ◽  
pp. 231-242 ◽  
Author(s):  
Zhengdong Huang ◽  
Derek Yip-Hoi
Keyword(s):  
Material Handling ◽  
Product Family ◽  
Parametric Modeling ◽  
Machining Process ◽  
Data Sets ◽  
Data Set ◽  
Part Family ◽  
Product Data ◽  
Process Plans ◽  
Feature Based

Parametric modeling has become a widely accepted mechanism for generating data set variants for product families. These data sets include geometric models and feature-based process plans. They are created by specifying values for parameters within feasible ranges that are specified as constraints in their definition. These ranges denote the extent or envelope of the product family. Increasingly, with globalization the inverse problem is becoming important: Given independently generated product data sets that on observation belong to the same product family, create 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 later attempt consolidation to optimize the design of manufacturing processes and systems. In this paper we present a methodology for generating a parametric representation of the machining process plan for a part family through merging product data sets generated independently from members of the family. We assume that these data sets are feature-based machining process plans with relationships such as precedences between the machining steps for each feature captured using graphs. Since there are 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 in the design of tools, fixtures, material handling automation and machine tools for machining the given part family.

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