Manufacturability Analysis Using Integrated KBE, CAD and FEM

Author(s):  
Joel Johansson

Finite element analyses (FEA) are often used to test product properties virtually. The process of setting up FEA is many times manual and not strictly formalized; the assumptions made in those calculations highly depend on the analysts’ former experiences and gut feeling. Sometimes there exist parametric FEA-models, but they are hard to interpret for others than the developers. These parametric FEA-models are also highly inflexible. It is beneficial to formalize and automate the process of developing such calculations in order to automate the product development process for mature and variant-rich products where predictions and validations using FEA are demanded in the whole or parts of the design space. Making the automated FEA-models more flexible and more transparent makes them live longer and be more available for engineers that are not FEA-specialists. The FEA-specialists will have more time to solve general problems rather than focusing on instances of the product. In this paper, a proposal is made on how to integrate Knowledge Based Engineering (KBE), CAD and FEM to make the automation of FEA flexible, transparent, and easy to use. The method proposed includes the usage of an inference engine that handles knowledge objects that connect to auxiliary software applications. In the paper, an implementation example is presented where toolsets for the rotary draw bending of aluminium tubing are analyzed for manufacturability.

Author(s):  
Daniel E. Whitney ◽  
Qi Dong ◽  
Jared Judson ◽  
Gregory Mascoli

Abstract Recently, a large automobile company implemented a Knowledge-based Engineering (KBE) application to help design an engine component. While the KBE developers aimed to facilitate a single engineer’s ability to design this component using only the KBE application, it can be shown that in fact this component’s design is tightly coupled to that of several others. Can KBE handle situations like this? How common are they? To address these and other questions, Design Structure Matrix (DSM) models were made of this component at three levels: system interactions, assembly of the component, and individual parts. The size, row names, and internal entries of these matrices were compared to matrices constructed from several conventional written design guides and a flowchart of the KBE application. In each case, the DSM contained more rows or more matrix entries per row, especially at the system interaction level. Since the DSMs were constructed by interviewing experienced engineers, one implication is that while low-aggregation information may be documented, system level information at this company mostly resides in people’s heads. An informal measure of “knowledge content” based on the number of matrix entries per row was shown to be consistent with similar measurements made on DSMs obtained by several other researchers. These results indicate some of the scope and complexity challenges that KBE faces.


Author(s):  
Udo Lindemann ◽  
Ralf Stetter

Abstract Nothing is more critical for the success of a project than a design flaw that remains undetected until the product is in production or even handed over to the customer. In order to prevent the negative effects of undetected flaws, the method “early determination of product properties” has been developed at the Chair of Design at the Technische Universität München. In this paper the introduction of the method in a mid-size industrial company and the first resulting tool, the Parameter Checklist, are described. The presented research started with a detailed analysis of the product development process in the industrial company. In order to introduce a complex method in an industrial company, many aspects of the situation of the designers, from existing tools and procedures to the designers’ capabilities have to be considered. Because of this, the method was divided into distinct ideas, stages and tools, and compared individually to the situation given. On this basis a first methodical tool was developed, intended to support designers while using the method. The tool called Parameter Checklist supports designers in planning analyses (e.g. tests with physical prototypes, finite element analyses) and in interpreting the results of these analyses. Furthermore, by using the tool, a database is filled that provides enough information to reconstruct the described analyses. In contrast with conventional testing instructions, the Parameter Checklist contains an explicit description of the model, in some respects found to be important, and a list of the influencing parameters. This is the basis for both a simple but conscious form of analysis planning and a more thorough interpretation of the analysis results.


2020 ◽  
Vol 1 ◽  
pp. 345-354
Author(s):  
L. P. Poot ◽  
C. Wehlin ◽  
M. Tarkian ◽  
J. Ölvander

AbstractWith industries striving towards increased customisation of complex products through engineer-to-order, methods are continuously sought to rationalise the product development process. To this end, a framework is proposed using CAD configurators, utilising design automation and knowledge-based engineering to integrate sales and design processes in product development. The application of this framework to the design of spiral staircases is described and analysed, with results showing decreased lead-times and a decreased risk for design errors.


Author(s):  
Joel Johansson

For parts suppliers in the manufacturing industry, the process of preliminary production preparation and the subsequent calculation of offers are critical business activities. A vital part of production preparation is the design of fixtures and tooling necessary for many processes of metal forming. In order for a company to give quick responses to customer enquiries or changes in prior specifications, it would be highly beneficial with a degree of automation in this design process. This implies the development of a computer based system able to capture existing design procedures and associated knowledge for the classes of tooling required for the forming process. In this work, an implementation for the rotary draw bending of aluminum tubing has been done to exemplify how to develop an automated design system. The system is based on heuristic knowledge developed over many years of practical experience, knowledge analytically derived from fundamental theory found in scientific literature, and rules based on empirical data from trial manufacturing. The system applies knowledge to a given specification that a skilled engineer otherwise would do manually. The system output can be used to evaluate whether a tube is producible. The main idea behind the system is to use knowledge objects containing information on inputs, outputs, constraints and what software are used to implement the knowledge pieces. This approach makes the system highly flexible and allows for multiple types of knowledge that might overlap. When an offering calculation is wanted, the system is set to run applicable knowledge objects for presented input data. Other objects are run when an accurate calculation for detailing is wanted for a more detailed set of input data. The system is built on readily available commercial software packages connected with a simple Visual Basic .Net program. When building a system of this kind, it is essential that the knowledge documentation and structure be such that the functions of the system can be easily understood by the users of the system and by future developers. Aspects of user friendliness, transparency and scalability are addressed in the summary of this paper.


Author(s):  
Sa´ndor Vajna

Knowledge-based design is a concept for the computer-aided provision and application of different representations of knowledge along the product development process. In this paper, a knowledge taxonomy is proposed, possible applications of knowledge-based design and the resulting benefits are discussed as well as open questions and research needs.


Author(s):  
Peisi Zhong ◽  
Qingliang Zeng ◽  
Mei Liu ◽  
Dazhi Liu

Concurrent engineering is a systematic approach to integrate concurrent design and its related processes. Its objective is to shorten the product development cycle, improve the product quality and reduce the product cost. Product development process management is one of the key enabled technologies for the implementation of concurrent engineering. The main purpose of the study on knowledge-based concurrent product development process management is to explore the theory and methods on process modeling, monitoring, analysis, reengineering and so on, and to integrate the knowledge processing into the lifecycle of the product development including mainly the acquisition and usage of design history and domain knowledge. Modeling the product development process is the first step of product development process management. A method for the knowledge-based multi-view process modeling is present. The rule-based mechanism for process implementation is discussed. The method for acquisition of design history and domain knowledge is presented. The multi-agent based architecture of knowledgebased concurrent product development process management system is developed and used successfully during the life cycle of a new type of railway rolling stock development in a Chinese enterprise, QQHR Railway Rolling Stock Company.


2011 ◽  
Vol 403-408 ◽  
pp. 2870-2873
Author(s):  
Shu Hui Ding ◽  
Pei Si Zhong ◽  
Hai Xia Wang

According to the study of process management and knowledge management, knowledge based complex product development process management system is built, which is used to control the product development process with the supporting of knowledge. Process management system and knowledge management system are studied, and its prototype is developed on the platform of .NET Framework. Knowledge based process management system can provide necessary knowledge for designers, which can decrease errors, improve intellectualization and efficiency.


Author(s):  
N. Madhusudanan ◽  
Amaresh Chakrabarti

Assembly is an important part of the product development process. To avoid potential issues during assembly in specialized domains such as aircraft assembly, expert knowledge to predict such issues is helpful. Knowledge based systems can act as virtual experts to provide assistance. Knowledge acquisition for such systems however, is a challenge, and this paper describes one part of an ongoing research to acquire knowledge through a dialog between an expert and a knowledge acquisition system. In particular this paper discusses the use of a situation model for assemblies to present experts with a virtual assembly and help them locate the specific context of the knowledge they provide to the system.


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