scholarly journals Variant design of typical aircraft parts based on CATIA technology

2020 ◽  
Vol 1605 ◽  
pp. 012064
Author(s):  
B Hao ◽  
F Liu ◽  
M Liu
Keyword(s):  
2004 ◽  
Vol 4 (4) ◽  
pp. 316-328 ◽  
Author(s):  
Carol J. Romanowski , ◽  
Rakesh Nagi

In variant design, the proliferation of bills of materials makes it difficult for designers to find previous designs that would aid in completing a new design task. This research presents a novel, data mining approach to forming generic bills of materials (GBOMs), entities that represent the different variants in a product family and facilitate the search for similar designs and configuration of new variants. The technical difficulties include: (i) developing families or categories for products, assemblies, and component parts; (ii) generalizing purchased parts and quantifying their similarity; (iii) performing tree union; and (iv) establishing design constraints. These challenges are met through data mining methods such as text and tree mining, a new tree union procedure, and embodying the GBOM and design constraints in constrained XML. The paper concludes with a case study, using data from a manufacturer of nurse call devices, and identifies a new research direction for data mining motivated by the domains of engineering design and information.


Author(s):  
Xinsheng Xu ◽  
Tianhong Yan ◽  
Yangke Ding

AbstractProduct variant design, as one of the key enabling technologies of mass customization, is the transfer of variant information among mating parts from the perspective of informatics. A dimension constraint network (DCN) among mating parts carries on the task of transferring variant information. What are the information transfer characteristics of dimensions in a constraint network is a fundamental issue to plan the product variant design process reasonably. We begin by showing the natural dynamics of the DCN from two aspects: structure and uncertainty. The information efficiency of the DCN was proposed based on its simple path to specify the information transfer capability of the network. Based on this, the information centrality of the dimension was developed by measuring the efficiency loss of the DCN after the removal of a dimension from the network, which describes the information transfer capability of this dimension. Further, the information centrality of a part was derived. Using a spherical valve subassembly, we calculated the information centrality of the dimensions in a constraint network. We determined that the information centrality of dimension is highly correlated to its out-degree. An approach to plan the sequence of the part variant design according to its information centrality was proposed. We calculated the uncertainties of the DCN and its cumulative uncertainties under different sequences of the part variant design. Results indicate that part variant design under the descending information centrality of the parts minimizes the uncertainty of the DCN. This suggests a new method of planning the sequence of part variant design.


2017 ◽  
Vol 9 (12) ◽  
pp. 168781401774282 ◽  
Author(s):  
Rongzhen Xu ◽  
Qi Gao ◽  
Xinyue Li
Keyword(s):  

2011 ◽  
Vol 421 ◽  
pp. 263-266
Author(s):  
Hai Xin Zhao ◽  
Fu Yun Liu ◽  
Ying Sun ◽  
Kun Xu

In the current market demand of rapid response manufacturing, the product variant design technology is one of the key technologies. Product variant design principles and methods are first described. Then, product dimension parameter is analyzed and product dimension parameter transferring structure is studied. Applying tree theory to product variant design, a dimension relation driving-tree of components and parts is constructed and the significance of driving-tree statistics and a dimension parameters transfer method are presented. The methods and processes which are applied to variant design and the sorting algorithm of relations are described in detail. A parameterized variant design module integrated with SolidWorks was developed with VC + +. All the above mentioned methods and processes are verified by taking a joint coupling product as an example.


2010 ◽  
Vol 136 ◽  
pp. 216-220
Author(s):  
W.D. Jin ◽  
H. Guo

Reuse of design knowledge may play an important role during the variant design and improvement of complex mechanical products. In the paper, a design knowledge reuse model and a knowledge-reuse-based process model with helical evolution were proposed. Effective management and timely updating technology of design knowledge was also analyzed and explored, and a knowledge-reuse-based computer design system was developed. Moreover, taking a slipform paver as an example, variant design and improving steps of complex mechanical products was intrduced.


2011 ◽  
Vol 697-698 ◽  
pp. 785-789 ◽  
Author(s):  
X. Li ◽  
Yan Qun Huang

To enhance the ability and reliability of product variant design, an object-oriented framework was constructed using an extensible module/product class for setting up a modular design model. A module/product in a class was identified as an object by encapsulating the involved information as properties and the transforming or interaction activities as operations. This extensible object was gradually optimized through communications with other objects and integrations of design knowledge in five domains. These include Customer, Functional, Physical, Process and Engineering, which is a new domain introduced in this paper. The programmatic framework was implemented and successfully demonstrated using some typical machine tool products.


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