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contributor authorXue, Deyi
contributor authorImaniyan, David
date accessioned2022-02-05T22:32:35Z
date available2022-02-05T22:32:35Z
date copyright2/9/2021 12:00:00 AM
date issued2021
identifier issn1530-9827
identifier otherjcise_21_4_041004.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4277727
description abstractThe presently achieved research results are not effective for the design of complex mechanical products when various methods and tools in different schemes have to be employed at different design stages. A new integrated framework for the optimal design of complex mechanical products is introduced in this research considering modeling, simulation, and optimization aspects. First, a hybrid scheme is developed for the integrated modeling of complex mechanical products. In this hybrid scheme, descriptions of a generic product are modeled by an and-or tree. Feasible design candidates are created from the and-or tree through tree-based search. Geometric descriptions in a design candidate are associated with a computer-aided design (CAD) system. Second, a hybrid simulation method is developed for the evaluation of different product aspects with different simulation tools which are integrated through the hybrid modeling scheme. Simulations with geometric descriptions are conducted by analysis functions of the CAD system. Simulations with non-geometric descriptions are conducted by the knowledge-based systems. Third, a hybrid optimization method is developed to identify the optimal design of the complex mechanical product. For each design candidate, parameter optimization is conducted to obtain the optimal parameter values. The optimal design solution is identified from all design candidates through configuration optimization. A prototype system has been implemented for conceptual design and detailed design of complex mechanical products.
publisherThe American Society of Mechanical Engineers (ASME)
titleAn Integrated Framework for Optimal Design of Complex Mechanical Products
typeJournal Paper
journal volume21
journal issue4
journal titleJournal of Computing and Information Science in Engineering
identifier doi10.1115/1.4049536
journal fristpage041004-1
journal lastpage041004-19
page19
treeJournal of Computing and Information Science in Engineering:;2021:;volume( 021 ):;issue: 004
contenttypeFulltext


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