Improving Geometry Manipulation Capabilities of Knowledge-Based Engineering Applications by the Versatile Integration of 3D-CAD Systems

2017 ◽  
Author(s):  
Alexander Ortner-Pichler ◽  
Christian Landschützer
Keyword(s):  
Engineering Applications ◽  
Cad Systems ◽  
3D Cad ◽  
Knowledge Based ◽  
Knowledge Based Engineering

scholarly journals Knowledge-based engineering in the context of railway design by integrating BIM, BPMN, DMN and the methodology for knowledge-based engineering applications (MOKA)

2021 ◽  
Vol 26 ◽  
pp. 193-226
Author(s):  
Marco Häußler ◽  
André Borrmann
Keyword(s):  
Process Model ◽  
Best Practice ◽  
Engineering Applications ◽  
Engineering Knowledge ◽  
Domain Specific ◽  
Knowledge Based ◽  
Routine Design ◽  
Knowledge Based Engineering ◽  
Knowledge Intensive ◽  
Use Of Knowledge

Designing railway infrastructure is a knowledge-intensive task. Although there are a number of mature design authoring systems available, their support for dynamically incorporating domain-specific engineering knowledge is very limited. At the same time, a standardized digital representation of railway engineering knowledge (such as building codes and best practice) does not exists. To overcome this deficiency, this paper proposes the use of Knowledge Based Engineering (KBE) to automate routine design tasks by considering multiple knowledge sources. In this scenario, KBE is used to support a Railway design authoring system. To ensure maximum transparency in the design of the developed KBE application, graphical ‘Business Process Model and Notation’ (BPMN) has been used in combination with ‘Decision Model and Notation’ (DMN) to formalize the underlying engineering knowledge. The KBE application has been developed according to the Methodology for Knowledge-Based Engineering Applications (MOKA). An evaluation of the BPMN/DMN approach shows that it meets up to 58% of the acceptance criteria found in the literature. In addition, BPMN and DMN can already be used in the early capture phase of MOKA and its workflows can be developed into an executable KBE application in the subsequent phases. The results of the test example discussed here show that time savings of up to 97.5% can be achieved in the execution of the KBE application.

A framework for management of Knowledge-Based Engineering applications as software services: Enabling personalization and codification

2012 ◽  
Vol 26 (2) ◽  
pp. 219-230 ◽  
Author(s):  
Pablo Bermell-Garcia ◽  
Wim J.C. Verhagen ◽  
Simon Astwood ◽  
Kiran Krishnamurthy ◽  
Jean Luc Johnson ◽  
...  
Keyword(s):  
Engineering Applications ◽  
Knowledge Based ◽  
Knowledge Based Engineering ◽  
Software Services

A Knowledge Capitalization Methodology Based on Automatic Knowledge Extraction From 3D CAD Models

2012 ◽  
Author(s):  
Mathieu Lebouteiller ◽  
Jérémy Boxberger ◽  
Samuel Gomes ◽  
Nadhir Lebaal ◽  
Daniel Schlegel
Keyword(s):  
Knowledge Management ◽  
Data Management ◽  
Product Data Management ◽  
Design Parameters ◽  
3D Cad ◽  
Knowledge Based ◽  
Cad Models ◽  
Mathematical Algorithms ◽  
Knowledge Based Engineering ◽  
Lean Engineering

The issue of improving quality, costs and delays indicators in design and manufacturing is more relevant than ever in the industry. After lean manufacturing, well known in production process, the lean engineering approach is being implemented today in the field of design, taking the name of lean product development. The management of knowledge and know-how (existing, new or to be acquired) is the heart of lean engineering. In our suggested methodology this is implemented through a new generation of tools called Knowledge Configuration Management (KCM) and Knowledge Extraction Assistant (KEA). KCM tools are lean engineering components that provide analytical approach to knowledge management and knowledge-based engineering. These tools require a highly integrated approach that involves, for example, predefined geometrical parametric 3D models, such as CAD templates. But this approach cannot be deployed in all engineering sites. We propose to complete this KCM approach introducing a semantic network approach, coupling with Feature Identity Card (FIC). FIC contains a set of metadata and information existing in the Product Data Management (PDM), connected with information extracted from 3D CAD (Computer Aided Design) models. It allows contextualizing information and ensures semantic connections, in order to manipulate the right parameters with mathematical algorithms. Those algorithms will search candidate relationships between design parameters extracted from CAD models. Our suggested approach aims at extracting knowledge in cases where design never came out of Knowledge Based Engineering (KBE) applications. In those situations, it seems important to complete classical knowledge management approach, and to find out the implicit knowledge embedded in 3D CAD models. This is achieved through a global approach, focusing on the product’s 3D definitions. We suggest introducing the latter approach by a suite of digital KEA tools (interfaced with KCM tools). Extracting knowledge from projects information stored in the Product Data Management does this. More precisely, the methodology is based on a commercial 3D similarity search tools for CAD models and on mathematical algorithms that search relationships between extracted design parameters. The goal is to submit new rules to the process and design experts. Implementing this methodology, a deeper knowledge of the product and its associated process can be acquired. This ensures a more productive and efficient design process.

Cyberphysical Design Automation Framework for Knowledge-based Engineering

2013 ◽  
Vol 1 (1) ◽  
pp. 158-178
Author(s):  
Urcun John Tanik
Keyword(s):  
System Design ◽  
Design Process ◽  
Design Automation ◽  
Design Theory ◽  
Knowledge Bases ◽  
Knowledge Based ◽  
Knowledge Based Engineering ◽  
Cyberphysical System ◽  
Automation Framework

Cyberphysical system design automation utilizing knowledge based engineering techniques with globally networked knowledge bases can tremendously improve the design process for emerging systems. Our goal is to develop a comprehensive architectural framework to improve the design process for cyberphysical systems (CPS) and implement a case study with Axiomatic Design Solutions Inc. to develop next generation toolsets utilizing knowledge-based engineering (KBE) systems adapted to multiple domains in the field of CPS design automation. The Cyberphysical System Design Automation Framework (CPSDAF) will be based on advances in CPS design theory based on current research and knowledge collected from global sources automatically via Semantic Web Services. A case study utilizing STEM students is discussed.

Industrial Application of Knowledge-Based Engineering in Commercial CAD / CAE Systems

2021 ◽  
pp. 100255
Author(s):  
Jerzy Pokojski ◽  
Karol Szustakiewicz ◽  
Łukasz Woźnicki ◽  
Konrad Oleksiński ◽  
Jarosław Pruszyński
Keyword(s):  
Industrial Application ◽  
Knowledge Based ◽  
Knowledge Based Engineering

Application of Knowledge-Based Engineering Methods for Hull Structural Member Design

2009 ◽  
Author(s):  
Jinfeng Chen ◽  
◽  
Hezhen Yang ◽  
Ruhong Jiang ◽  
Deyu Wang ◽  
...  
Keyword(s):  
Structural Member ◽  
Knowledge Based ◽  
Knowledge Based Engineering

A Novel Application of Gamification for Collecting High-Level Design Information

2015 ◽  
Author(s):  
Hyunmin Cheong ◽  
Wei Li ◽  
Francesco Iorio
Keyword(s):  
User Study ◽  
Design Knowledge ◽  
Cad Systems ◽  
Design Information ◽  
Knowledge Based ◽  
Game Mechanics ◽  
Abstract Level ◽  
Level Problem ◽  
Level Design ◽  
High Level

This paper presents a novel application of gamification for collecting high-level design descriptions of objects. High-level design descriptions entail not only superficial characteristics of an object, but also function, behavior, and requirement information of the object. Such information is difficult to obtain with traditional data mining techniques. For acquisition of high-level design information, we investigated a multiplayer game, “Who is the Pretender?” in an offline context. Through a user study, we demonstrate that the game offers a more fun, enjoyable, and engaging experience for providing descriptions of objects than simply asking people to list them. We also show that the game elicits more high-level, problem-oriented requirement descriptions and less low-level, solution-oriented structure descriptions due to the unique game mechanics that encourage players to describe objects at an abstract level. Finally, we present how crowdsourcing can be used to generate game content that facilitates the gameplay. Our work contributes towards acquiring high-level design knowledge that is essential for developing knowledge-based CAD systems.

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