Integrating design data with manufacturing data: why you want to use a universal data model (UDM)

2003 ◽  
Author(s):  
Wesley R. Erck
Keyword(s):  
Data Model ◽  
Design Data ◽  
Manufacturing Data

Development of a Pilot Manufacturing Cyberinfrastructure With an Information Rich Mechanical CAD 3D Model Repository

2019 ◽  
Author(s):  
Akshay Bharadwaj ◽  
Yang Xu ◽  
Atin Angrish ◽  
Yong Chen ◽  
Binil Starly
Keyword(s):  
Product Design ◽  
Academic Research ◽  
Digital Design ◽  
Data Driven ◽  
Concept Design ◽  
Design Data ◽  
Meta Data ◽  
Pilot Implementation ◽  
Project Data ◽  
Manufacturing Data

Abstract Data driven advanced manufacturing research is dependent on access to large datasets made available from across the product lifecycle — from the concept design phase all the way down to end use and disposal. Despite such data being generated at a rapid pace, most product design data is archived in inaccessible silos. This is particularly acute in academic research laboratories and with data generated during product design and manufacturing courses. This project seeks to create an infrastructure that allow users (academia and the general public) to easily upload project data and related meta-data. Current manufacturing research must shift from siloed repositories of product manufacturing data to a federated, decentralized, open and inter-operable approach. In this regard, we build ‘FabWave’ a cyber-infrastructure tool designed to capture manufacturing data. In its first pilot implementation, we focused our attention to gathering information rich 3D Mechanical CAD data and related meta-data associated with them, with the intent to make it easier for users to upload and access product design data. We describe workflows that we have initially tested out within the two academic universities and under two different course structures. We have also developed automated workflows to gather license appropriate CAD assemblies from commercial repositories. Our intent is to create the only known largest available CAD model set within academia for enabling research in data-driven computational research in digital design, fabrication and quality control.

A Design Data Model to Support Rationale Capture and Functional Synthesis

2003 ◽  
Author(s):  
Marco Aurisicchio ◽  
Rob H. Bracewell ◽  
Ken M. Walllace
Keyword(s):  
Data Model ◽  
Mechanical Design ◽  
Good Practice ◽  
Source Material ◽  
Design Rationale ◽  
Design Data ◽  
Arm Support ◽  
Functional Synthesis ◽  
Design Projects ◽  
And Function

Keeping design notebooks is widely considered to be a very good practice as it allows the progression of a design to be recorded, and it is one of the few spontaneous ways in which designers document their design processes. Nevertheless, design notebooks by their nature contain diverse collections of information and knowledge, lacking any clear and comprehensive structure. The aim of researching the generation and use of such design knowledge is to provide a better understanding of how it may be captured and structured for later review and reuse, either by the original designers or by others. In this paper, we explore and test ways of structuring design rationale that is recorded in design notebooks during mechanical design projects. Our investigation focuses on the application of two well-known alternative knowledge structures. These are PROSUS matrices that are used for indexing design rationale against the nodes of a product breakdown [1], and Function-Means Trees [2] that are used to represent the generation and combination of alternative partial design solutions. The results are compared with the Design Data Model, which has been proposed as a way of beneficially unifying these two seemingly incompatible approaches. Design notebooks kept during the Mobile Arm Support project, an inhouse design project undertaken between 1992 and 1997 in Cambridge Engineering Design Centre, provided the source material to illustrate our arguments.

Agile Manufacturing Data Management

2009 ◽  
Vol 407-408 ◽  
pp. 189-193
Author(s):  
Li Hong Qiao ◽  
Wei Liu
Keyword(s):  
Data Management ◽  
Data Model ◽  
Agile Manufacturing ◽  
Product Lifecycle Management ◽  
Data Management System ◽  
Product Lifecycle ◽  
Data Services ◽  
Lifecycle Management ◽  
Service Framework ◽  
Manufacturing Data

An agile data service framework was proposed in the paper to meet the requirement of agile manufacturing data management in product lifecycle management. The framework was comprised of four layers: core object and ontology layer, meta-data and meta-mode layer, service component layer and implementation layer. The realization of agile manufacturing data management was investigated through the analysis of the unified manufacturing data modeling and the implementation based on services. The descriptive structure and the main content of the manufacturing data model was given. The architecture of the manufacturing data management system based on services was addressed to conduct service implementation of the framework. The proposed approach of agile data services brought forward a new feasible solution to agile data management throughout product lifecycle.

STEP-NC digital thread for additive manufacturing: data model, implementation and validation

2018 ◽  
Vol 31 (11) ◽  
pp. 1141-1160 ◽  
Author(s):  
Renan Bonnard ◽  
Jean-Yves Hascoët ◽  
Pascal Mognol ◽  
Ian Stroud
Keyword(s):  
Additive Manufacturing ◽  
Data Model ◽  
Manufacturing Data

scholarly journals A Roadmap for STEP-NC Enabled Interoperable Manufacturing

2011 ◽  
Author(s):  
Martin Hardwick ◽  
Fiona Zhao ◽  
Fred Proctor ◽  
Sid Venkatesh ◽  
David Odendahl ◽  
...  
Keyword(s):  
International Collaboration ◽  
Data Model ◽  
Data Exchange ◽  
Process Data ◽  
Design Data ◽  
Tool Paths ◽  
Design Requirements ◽  
Nc Data ◽  
Code Standard ◽  
Iso 6983

STEP-NC is the result of a ten-year international effort to replace the RS274D (ISO 6983) G and M code standard with a modern associative language. The new standard connects CAD design data to CAM process data so that smart applications can understand both the design requirements for a part and the manufacturing solutions developed to make that part. STEP-NC builds on a previous ten-year effort to develop the STEP standard for CAD to CAD and CAD to CAM data exchange, and uses the modern geometric constructs in that standard to specify device independent tool paths, and CAM independent volume removal features. This paper reviews a series of demonstrations carried out to test and validate the STEP-NC standard. These demonstrations were an international collaboration between industry, academia and research agencies. Each demonstration focused on testing and extending the STEP-NC data model for a different application.

An Integrated Method for Propulsion System Conceptual Design

2015 ◽  
Author(s):  
R.-G. Becker ◽  
S. Reitenbach ◽  
C. Klein ◽  
T. Otten ◽  
M. Nauroz ◽  
...  
Keyword(s):  
Conceptual Design ◽  
Design Process ◽  
Data Model ◽  
Three Dimensional ◽  
Engine Performance ◽  
Propulsion System ◽  
Computational Time ◽  
Design Parameters ◽  
Design Data ◽  
Fast Evaluation

The conceptual design of future, potentially highly integrated aircraft engines pose a variety of new design options to the propulsion system engineers. In order to find the best conceptual design, rapid evaluation of many design choices is essential. However, traditional, fast evaluation methods employing historical and empirical data can only be applied to novel engine concepts to a very limited degree. Thus, swift conceptual design methods based on physical approaches providing a sophisticated level of detail are needed. The current paper presents a methodology focused on conceptual engine design. The methodology is based on the gas turbine simulation framework GTlab, which integrates software tools for engine performance, component aerodynamics and structural design. For conceptual design a dedicated set of design tools exists — the so called GTlab-Sketchpad. Sketchpad tools have full access to the thermodynamic design data of the engine performance module. Based on cycle analysis, the tool set generates parametric representations of the propulsion system components and stores the results back to the frameworks data model. Computational time is limited to a few seconds, to ensure interactivity during the design process. The graphical user interface provides means to interactively modify the design parameters and to immediately evaluate their impact on the overall design. Since the internal data model facilitates three dimensional parameterizations of the engine components, 3D representations of the engine designs can be generated by interfacing an open source CAD-kernel. For the present paper, the conceptual design process of a commercial jet engine utilizing GTlab-Sketchpad is shown. The underlying computational methods are described and the resulting 3D-geometry is presented.

Conceptual design, data model and key techniques of “3D Assistant”

2011 ◽  
Vol 21 ◽  
pp. s692-s698
Author(s):  
Qing-yuan LI ◽  
Xuan ZHANG ◽  
Yang JIN ◽  
Hui ZHOU ◽  
Qian-jin WANG ◽  
...  
Keyword(s):  
Conceptual Design ◽  
Data Model ◽  
Design Data ◽  
Key Techniques

scholarly journals A Data Model Validation Approach for Relational Database Design Courses

10.28945/2797 ◽  
2004 ◽  
Author(s):  
Kevin R. Parker
Keyword(s):  
Model Validation ◽  
Relational Database ◽  
Data Model ◽  
Database Design ◽  
Instructional Method ◽  
Design Data ◽  
Critical Step

This paper presents an instructional method for validating a relational database design. Data model validation is often overlooked in course projects involving relational database design, in part because while most database texts stress the importance of validation, few provide an instructional method for performing validation. Validation is a critical step, especially for students. A flawed data model may omit non-key attributes or even the foreign keys required to join tables. This can make the design of SQL queries, forms, and reports a frustrating experience. This approach requires the designer to determine which attributes account for the field values on forms and reports, which entities are associated with those attributes, and how those entities are linked to an integral or primary entity. Such an approach serves to validate the completeness of the data model.

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