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contributor authorMaurizio Muzzupappa
contributor authorUmberto Cugini
contributor authorLoris Barbieri
contributor authorFabio Bruno
date accessioned2017-05-09T00:36:54Z
date available2017-05-09T00:36:54Z
date copyrightDecember, 2010
date issued2010
identifier issn1530-9827
identifier otherJCISB6-26028#044503_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/142766
description abstractTopological 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.
publisherThe American Society of Mechanical Engineers (ASME)
titleMethodology and Tools to Support Knowledge Management in Topology Optimization
typeJournal Paper
journal volume10
journal issue4
journal titleJournal of Computing and Information Science in Engineering
identifier doi10.1115/1.3518386
journal fristpage44503
identifier eissn1530-9827
keywordsComputer-aided design
keywordsEquipment and tools
keywordsOptimization
keywordsModeling
keywordsDesign
keywordsComputer software
keywordsWheels AND Knowledge management
treeJournal of Computing and Information Science in Engineering:;2010:;volume( 010 ):;issue: 004
contenttypeFulltext


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