Research on Design Knowledge Expression Method of Abrasive Machine Tool Based on Axiomatic Design

2007 ◽  
Vol 359-360 ◽  
pp. 564-568
Author(s):  
Yi Xiong Feng ◽  
Bing Zheng ◽  
Zhe Wei ◽  
Jian Rong Tan

The axiomatic design theory is applied with the product design knowledge expression of abrasive machine tools, making it possible to convert the implicit knowledge created in the study process into the explicit knowledge that will be shared all over the organization. The design knowledge created in the design and developing processes is divided into functional requirements, design parameters, design constraints and design coupling. In this paper, not only has the function-structure knowledge information mapping been analyzed, but also the implementation steps of product knowledge expression have been provided. Moreover, the matter-element model of the product design heterogeneous knowledge of the abrasive machine tool is established and the heterogeneous knowledge semantic rule is described. Finally, through a case of product design knowledge expression which is applied to the MLL60 abrasive flow machining tool, the correctness and practicality of this method are verified.

Author(s):  
Prakash C. R. J. Naidu ◽  
Kshirsagar C. J. Naidu

This paper introduces a new approach named Design for Patentability (DFP) and presents the preliminary formulation of a formal methodology to attempt consideration of patentability aspects during the early stages of design including conceptual design and initial implementation of detailed design and manufacturing. Design for Automation (DFAM) approach formulated earlier by the first author based on Axiomatic Design Theory originated by Suh et. al. at MIT is adapted, suitably modified and customized for inclusion of patentability aspects such as anticipation, functionality, utility, and obviousness. Highlighting the complexity in incorporation of legal aspects in an engineering methodology, the paper presents the possibilities of improving the patentability of a design by a systematic and considered approach. The proposed methodology introduces a Patentability Evaluation phase in-between the Product Design, Process Design and Automation System Design phases of DFAM. The paper reviews mapping of parameters between different domains, namely, Functional Requirements Domain, Design Parameters Domain, Process Requirements Domain, and Design Automation Parameters Domain encompassed in the DFAM methodology and includes Patentability Parameters Domain in parallel to the last three domains to enable possible consideration of patentability aspects during Product Design, Process Design, and Automation System Design. Further, the paper briefly discusses the relevance of the Information Axiom of the Axiomatic Design Theory in the context of preparation of preliminary drafts of invention disclosure and potential claims for perusal by patent agents or attorneys. The approach reported in the paper is expected to have broad applications in the growing field of innovation based entrepreneurship in which design for patentability is an essential requirement for success of a business venture.


2019 ◽  
Vol 301 ◽  
pp. 00015
Author(s):  
Wenguang Lin ◽  
Renbin Xiao ◽  
Rongshen Lai ◽  
Xiaozhen Guo

Axiomatic design theory is widely used in new product development by providing design solutions through mapping between functional requirements and design parameters. However, the theory does not provide a method to help designer obtain and select design parameters. To this end, this paper introduces patent analysis to overcome the deficiency. Firstly, functional requirements are transformed into patent search terms, and design parameters are obtained from patents. Secondly, morphological matrix is used to represent the relationships between target function and multiple design parameters. Thirdly, design parameters with higher patent frequency are chose and combined into a new scheme. Finally, the scheme is evaluated by the independent axiom of Axiomatic Design theory. The methodology is demonstrated and validated with a case study of spa shower.


2013 ◽  
Vol 411-414 ◽  
pp. 2511-2515
Author(s):  
Hou Xing You

Axiomatic design theory is a popular methodology for product design scheme evaluation in recent years. However, as information axiom has some limitation for information content of non-functional attributes, the application of axiomatic design theory is bound. Therefore, a new method is proposed for product design scheme evaluation in this paper, which is the generalized information content calculation, and the proposed method avoids the shortcoming of traditional information content calculations. Finally, the proposed method is applied in a case study, and experimental result shows the feasibility of the proposed method.


Author(s):  
Johan Vallhagen

Abstract This paper addresses some limitations of the axiomatic design theory (AD) when designing complex products and matching manufacturing systems. The conclusion is that, for complex manufacturing systems, this cannot be done in such a straightforward way as described in literature. The original method is best used for manufacturing of parts only, i.e. to find the appropriate process variables (PVs). In the case of complex manufacturing systems, a one-to-one mapping between physical domain and process domain is not possible since not all design parameters (DP) are components. Therefore, an additional process requirement domain (PR), proposed earlier, has been used. With it, the components are extracted from the DP hierarchy and mapped to different spaces in the manufacturing world. In these spaces, PRs and PVs are selected when designing the manufacturing system. An example is given to show the deficiencies and how to use the suggested modifications.


Author(s):  
Mijeong Shin ◽  
James R. Morrison ◽  
Hyo Won Suh

With the increasing environmental sophistication of consumers, there is a need to consider environmental factors and sustainability in the design process. This paper proposes a design methodology intended for software implementation called eAD+ to address the following four issues: 1) there are inherent couplings between eco-factors and product design parameters, 2) eco-factors are seldom structured for ready use within all phases of the design process, 3) there is a need for a formal feedback mechanism from the results of eco-analysis to the design process, and 4) it can be difficult to identify which design choice causes the most egregious environmental issue or functional coupling. eAD+ is based primarily on the Axiomatic Design (AD) methodology and addresses these issues as follows. First, AD directly identifies couplings between the functional requirements (FRs) in a design so that efforts, such as TRIZ, can be applied to address them. Second, as common eco-factors do not provide sufficient structure for inclusion in the AD framework, we develop structured eco-FRs and constraints. These are included alongside the product FRs throughout the design process. Third, the subset of the design matrix (DM) relating the eco-FRs to the design parameters explicitly incorporates feedback from eco-analysis into the design process. Here a database containing environmental (or sustainability) information is employed to evaluate the design. Fourth, we employ an augmented DM (drawing inspiration from the House of Quality of QFD) that provides weights highlighting which design parameter has the greatest influence on eco-factors and functional couplings.


2018 ◽  
Vol 223 ◽  
pp. 01006 ◽  
Author(s):  
Kate Kujawa ◽  
Jakob Weber ◽  
Erik Puik ◽  
Kristin Paetzold

Automotive production is faced with the challenge of bringing new products to market faster, with decreasing turn-around times, meaning production must be continually changing to accommodate new products. This paper proposes an approach to decrease a product’s time-to-market, by increasing the efficiency of automotive assembly unit design. Providing designers with conceptual information about future vehicle models early in the product design process, could shift the design start forward and enable a more efficient transition process. Large automotive companies work on vehicle design and development for years before a product is ready for production. If during these earlier stages of product design, significant changes are identified and communicated to production designers, the manufacturing system design can get a jump start with an early exploration phase. A method exists, which uses the Axiomatic Design theory to develop Reconfigurable Manufacturing Systems through a modular breakdown. A similar method Adapt! employs Axiomatic Design and Scrum to develop changeable or adaptable production systems. This paper proposes to extend the Adapt! method to include an exploration phase, which through early communication, provides an overview of the required design process, and enables faster identification of the critical design challenges. A case study is performed by analysing a currently produced vehicle and its future electric version.


2009 ◽  
Vol 407-408 ◽  
pp. 185-188
Author(s):  
N. Mishima

Design process of a machine tool is sometimes experience basis and time-consuming. The author has proposed a design tool for machine tools based on form-shaping theory and robust design technique. The tool can determine suitable configuration of machine tools, or important design parameters and error factors that affect machine tool performance, without prototyping. Especially in case of recently popular 5-axis machine tools, since the number of motion axis increases, there are huge options of axes combinations. It is difficult for machine tool designers to simulate the performance of every design option. Contrarily, the proposed design tool can clarify which design option of machine tool have better performance. In this paper, the tool is applied to the design of 5-axis machine tools. It enables to narrow the selection and make the design procedure more efficient. It also tries to suggest where the rotational motion axes should be placed. Finally, it is concluded that the design tool is effective in supporting configuration design of 5-axis machine tools structure where design knowledge has not been completely established.


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