Design Automation Tools as a Support for Knowledge Management in Topology Optimization

2008 ◽  
Author(s):  
Loris Barbieri ◽  
Fabio Bruno ◽  
Maurizio Muzzupappa ◽  
Umberto Cugini
Keyword(s):  
Knowledge Management ◽  
Product Development ◽  
Data Exchange ◽  
Development Process ◽  
Feature Recognition ◽  
Topological Optimization ◽  
Product Development Process ◽  
Automatic Feature Recognition ◽  
Efficient Data ◽  
Automation Tools

The problem of integrating topological optimization tools in product development process (PDP) is becoming more and more urgent since nowadays they are widely employed in several engineering fields (civil, aeronautics, aerospace, automotive). The interest for these tools is due to their capacity to better mechanical properties through a global optimization of the product in terms of weight, stiffness, resistance and cost. In particular, there is a lack of specific tools for automatic feature recognition on voxel models generated by the topological optimization tools. Our paper presents an innovative methodology that allows the integration of topological optimizers in the product development process by means of a wise and rational knowledge management and an efficient data exchange between different systems. The target has been reached through the implementation of CAD automation modules which decrease the working time and give the possibility to effectively schematize the designer’s knowledge.

scholarly journals Integration of Application Code Simulations for Data exchange

2021 ◽  
Vol 23 (07) ◽  
pp. 659-666
Author(s):  
Basankar Vikas ◽  
◽  
Dr. S. P. Metkar ◽  
Manoj Mane ◽  
Bhuvaneshwar Kanade ◽  
...  
Keyword(s):  
Product Development ◽  
Product Quality ◽  
Data Exchange ◽  
Development Process ◽  
Suitable Method ◽  
Product Development Process ◽  
Integration Approach ◽  
Simulation Based ◽  
Industry Automation

In every product development industry, automation plays a key role in increasing the throughput of the company and providing better planning in product development and improved product quality. It is very necessary to find a solution to interdependencies during the product development process. During simulation-based analysis of a product, it is required that the need for actual hardware of the product is to be eliminated. Because of this, the functionality of the actual hardware can be analyzed by using software using simulations. If simulations of different products are running, the data is to be exchanged between different simulations effectively. It can be considered as simulating data exchange, as it is implemented in the hardware form. A proper and suitable method is to be used to have this goal achieved. This paper will address the integration approach for application code simulations or programs that are built to perform specific tasks.

scholarly journals An overview of manufacturing knowledge sharing in the product development process

2018 ◽  
Vol 232 (13) ◽  
pp. 2253-2263 ◽  
Author(s):  
James Gao ◽  
Andrew YC Nee
Keyword(s):  
Knowledge Management ◽  
Product Development ◽  
Knowledge Sharing ◽  
Development Process ◽  
Product Development Process ◽  
Information Communication ◽  
Research Directions ◽  
Future Challenges ◽  
Key Issues ◽  
Manufacturing Knowledge

This article provides an overview of reported research relevant to the management of manufacturing-related knowledge and highlights the sharing of knowledge in the product development process. Previous research and concepts reported by international researchers and examples of the research projects carried out by the authors’ research teams will also be introduced. Publications reviewed are in the scope of information, communication and knowledge management technologies in product development and manufacturing. Some key concepts and issues in knowledge management are introduced first, as a foundation for the remainder of the review. The different approaches to knowledge management and knowledge sharing and the different types of knowledge and key issues in the product development process are discussed. Then manufacturing knowledge and its application in the product development are reviewed. The focus is given to the discussion of the approaches to sharing manufacturing knowledge relating to the product development process and indicating the future challenges and research directions.

Mapping Knowledge in Product Development through Process Modelling

2006 ◽  
Vol 05 (03) ◽  
pp. 233-242 ◽  
Author(s):  
Qianwang Deng ◽  
Dejie Yu
Keyword(s):  
Knowledge Management ◽  
Product Development ◽  
Development Process ◽  
Current Knowledge ◽  
Process Modelling ◽  
Process Models ◽  
Product Development Process ◽  
Specific Domain ◽  
State Process ◽  
Structure Knowledge

The product development capability is a core competence in a company, and the product development process is a knowledge-intensive process. The evolution of engineering design shows that knowledge is a key factor of a successful product development. From the 70's in the last century, artificial intelligence has been introduced into this field. It evolves from expert system through knowledge-based system to current knowledge management. Knowledge taxonomy is a core component in knowledge management. A new approach of mapping knowledge in product development through process modelling is proposed. Product development process modelling can help people structure knowledge and the employees linking to each activity in the product development process. According to the analysis of product development process models, there exist three basic kinds of objects: product states, process elements, and resources. The state-process-resource model provides available ontologies of knowledge in the product development domain. In this way, knowledge is hierarchically classified into six knowledge subjects: product, product process, process element, method, tool, and application specific domain. Furthermore, each of the knowledge subjects is divided into three types of knowledge: course, practice, and expertise location.

Methodology and Tools to Support Knowledge Management in Topology Optimization

2010 ◽  
Vol 10 (4) ◽  
Author(s):  
Maurizio Muzzupappa ◽  
Loris Barbieri ◽  
Fabio Bruno ◽  
Umberto Cugini
Keyword(s):  
Design Automation ◽  
Computer Aided Design ◽  
Development Process ◽  
The Other ◽  
Topological Optimization ◽  
Product Development Process ◽  
Innovative Methodology ◽  
Original Procedure ◽  
Aided Design ◽  
Automation Tools

Topological optimization (TO) tools are today widely employed in several engineering fields (e.g., construction, aeronautics, aerospace, and automotive). The diffusion of these tools is due to their capacity to improve mechanical properties of products through a global optimization of the product in terms of weight, stiffness, strength, and cost. On the other hand, the adoption of TO tools still requires a sizeable organizational effort because, at present, these tools are mostly stand-alone and are not well integrated into the product development process (PDP). This paper presents an innovative methodology that supports designers and analysts in formalizing and transmitting design choices taken during project activities and in making the integration of TO tools in the PDP more efficient. The methodology clearly defines the roles, the activities, the data to exchange, and the software tools to be used in the process. Some custom computer-aided design automation tools have been implemented to improve the efficiency of the methodology. Moreover, this paper defines an original procedure to support the interpretation of the TO results.

Feature Recognition and Parameterization Methods for Algorithm-Based Product Development Process

2017 ◽  
Author(s):  
Thiago Weber Martins ◽  
Reiner Anderl
Keyword(s):  
Product Development ◽  
Sheet Metal ◽  
Development Process ◽  
Feature Recognition ◽  
Mathematical Optimization ◽  
Product Development Process ◽  
Sheet Metal Parts ◽  
Cad Models ◽  
Feature Based ◽  
Metal Products

The algorithm-based product development process applies mathematical optimization tools in the conceptual steps of the product development process. It relies on formalized data such as initial loads and boundary conditions to find the best product solution for optimized bifurcated sheet metal parts. Previous research efforts focused on the automation of CAD modeling steps. Current algorithms are able to generate the CAD models of optimized bifurcated sheet metal products automatically, however, they are rough with low-level of detail and abstraction. Consequently, CAD models are embodied and detailed manually in a partly iterative and time-consuming process to include parameters, constraints and design features. Hence, this paper introduces feature recognition and parametrization methods for the algorithm-based product development of bifurcated sheet metal products. It proposes the inclusion of a pre-processor to analyze the solution graph resulted from topology optimization before the generation of CAD models. Algorithms that derive the geometric shape from the solution graph by recognizing features as well as assigning parameters are introduced. Then, feature-based CAD models of bifurcated sheet metal products are automatically generated. The proposed methods and algorithms are implemented with Python and validated with a use-case. Benefits and limitations of the proposed methods are discussed.

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