A Database Framework for the Characterization and Classification of Parametric Models Based on Complexity Metrics to Support Data Analytics

Author(s):  
Jorge D. Camba ◽  
Manuel Contero ◽  
David Pérez-López ◽  
Pedro Company

Abstract We present a database architecture for exploring, classifying, and visualizing feature-based parametric CAD models based on quantitative complexity metrics. The system consists of (1) an external relational database structure where models are stored along with their graph representation and the numerical values of each complexity metric, (2) a client module that is integrated in the user’s CAD system and facilitates navigation within the repository, and (3) a report generation module that allows exporting CAD complexity data from the external repository to other applications for validation and analysis. In this paper, we justify the need for our system in the context of data analytics and discuss the rationale of its design as well as its architecture and implementations details. Finally, we describe a use case that illustrates the application of our framework in the characterization and evaluation of CAD models.

2020 ◽  
Vol 7 (5) ◽  
pp. 603-614 ◽  
Author(s):  
Mutahar Safdar ◽  
Tahir Abbas Jauhar ◽  
Youngki Kim ◽  
Hanra Lee ◽  
Chiho Noh ◽  
...  

Abstract Feature-based translation of computer-aided design (CAD) models allows designers to preserve the modeling history as a series of modeling operations. Modeling operations or features contain information that is required to modify CAD models to create different variants. Conventional formats, including the standard for the exchange of product model data or the initial graphics exchange specification, cannot preserve design intent and only geometric models can be exchanged. As a result, it is not possible to modify these models after their exchange. Macro-parametric approach (MPA) is a method for exchanging feature-based CAD models among heterogeneous CAD systems. TransCAD, a CAD system for inter-CAD translation, is based on this approach. Translators based on MPA were implemented and tested for exchange between two commercial CAD systems. The issues found during the test rallies are reported and analyzed in this work. MPA can be further extended to remaining features and constraints for exchange between commercial CAD systems.


Author(s):  
Thiago Weber Martins ◽  
Lars Niemczik ◽  
Reiner Anderl

This paper introduces a concept to integrate measurements data into feature-based 3D CAD models. The concept focuses on its application in the measurement of bifurcated sheet metal profiles. For that, an interface to read and import this data into the CAD system is developed. Since the measurement data is stored as a point cloud, further data processing (reverse engineering) is necessary to recreate the work piece shape in the CAD system. If the measured work piece model and the CAD model of the design piece are available, an automated comparison of the defined dimension takes place. The result is a notification in the CAD model indicating which dimension deviates from the target values. Use-cases are elaborated for integrating the concept in the product development process. To implement this concept, an experimental setup is built up consisting of a measurement system and 3D CAD system. The COPRA ProfileScan Desktop is used to measure the profile. Siemens NX 11 is the chosen CAD system. Based on this setup, the concept is validated on a manufactured profile.


2012 ◽  
Vol 215-216 ◽  
pp. 639-642 ◽  
Author(s):  
Lan Kang ◽  
Ya Li ◽  
Zheng Ming Chen

Reverse engineering is an important tool to generate CAD models. This paper describes an integrated approach for modeling parts from point cloud to surfaces or solids based on features and constraints. The approach allows designers to integrate reverse engineering and feature-based CAD system in the reconstruction of parts. This approach has two advantages over current practice and the reconstructed models produced by this method are feature-based and constraints satisfaction, which provides a higher level description of part geometry rather than the tedious low-level editing of geometric descriptions as in reverse engineering. This method also facilitates modification and innovative design to the reconstructed parts, which would be extremely difficult or impossible to accomplish if current reverse engineering method is applied. In addition, it is a more convenient and practical way for designers. To illustrate the validation of this integrated modeling approach, a more complicated example is illustrated based on the approach.


Author(s):  
Xun Xu

Conventional CAD models only provide pure geometry and topology for mechanical designs such as vertices, edges, faces, simple primitives, and the relationship among them. Feature recognition is then required to interpret this low-level part information into high-level and domain-specific features such as machining features. Over the years, CAD has been undergoing fundamental changes toward the direction of feature-based design or design by features. Commercial implementations of FBD technique became available in the late 1980’s. One of the main benefits of adopting feature- based approach is the fact that features can convey and encapsulate designers’ intents in a natural way. In other words, the initial design can be synthesized quickly from the high-level entities and their relations, which a conventional CAD modeller is incapable of doing. However, such a feature-based design system, though capable of generating feature models as its end result, lacks the necessary link to a CAPP system, simply because the design features do not always carry the manufacturing information which is essential for process planning activities. This type of domain-dependent nature has been elaborated on in the previous chapter. In essence, feature recognition has become the first task of a CAPP system. It serves as an automatic and intelligent interpreter to link CAD with CAM, regardless of the CAD output being a pure geometric model or a feature model from a FBD system. To be specific, the goal of feature recognition systems is to bridge the gap between a CAD database and a CAPP system by automatically recognizing features of a part from the data stored in the CAD system, and based on the recognized features, to drive the CAPP system which produces process plans for manufacturing the part. Human interpretation of translating CAD data into technological information required by a CAPP system is thus minimized if not eliminated.


2021 ◽  
Vol 59 (3) ◽  
pp. 621-632
Author(s):  
Steven Gilmore ◽  
Joseph Hart ◽  
Justen Geddes ◽  
Christian H. Olsen ◽  
Jesper Mehlsen ◽  
...  

2012 ◽  
Vol 26 (10) ◽  
pp. 3201-3212 ◽  
Author(s):  
Sang-Uk Cheon ◽  
Duhwan Mun ◽  
Soonhung Han ◽  
Byung Chul Kim

Author(s):  
H. James de St. Germain ◽  
David E. Johnson ◽  
Elaine Cohen

Reverse engineering (RE) is the process of defining and instantiating a model based on the measurements taken from an exemplar object. Traditional RE is costly, requiring extensive time from a domain expert using calipers and/or coordinate measurement machines to create new design drawings/CAD models. Increasingly RE is becoming more automated via the use of mechanized sensing devices and general purpose surface fitting software. This work demonstrates the ability to reverse-engineer parts by combining feature-based techniques with freeform surface fitting to produce more accurate and appropriate CAD models than previously possible.


2021 ◽  
Author(s):  
Xinyi Xiao ◽  
Byeong-Min Roh

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.


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