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contributor authorWagersten, Ola
contributor authorLindau, Bjأ¶rn
contributor authorLindkvist, Lars
contributor authorSأ¶derberg, Rikard
date accessioned2017-05-09T01:06:02Z
date available2017-05-09T01:06:02Z
date issued2014
identifier issn1530-9827
identifier otherjcise_014_01_011007.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/154216
description abstractToday, in order to be competitive in a fierce global car market, higher demands are placed on the perceived quality (PQ) of the products. The end customer's visual impression of fit and finish are one of several factors influencing the overall PQ. When assessing the PQ of splitlines, the assumed geometric variation of the ingoing parts is an important prerequisite for trustworthy visualization and for correct judgments. To facilitate early decision making in conceptual phases, new demands are set on virtual tools and methods to support the engineers. In this study, a method for early evaluation of the impact of geometrical variation on PQ of splitlines is proposed. Starting from an exterior styling model, mesh morphing techniques have been used to distort the exterior model according to measurement data acquired in running production. Morphing techniques have also been used to adopt previous structural design solutions onto the new styling, in order to make an early assumption of the assembly stiffness. The used method is described and adopted in an industrial case. The study shows that the presented technique can be used to create continuous and correlated datasets. Nonrigid part behavior can be included in early PQ evaluations, even if the final detailed engineering design models do not yet exist.
publisherThe American Society of Mechanical Engineers (ASME)
titleUsing Morphing Techniques in Early Variation Analysis
typeJournal Paper
journal volume14
journal issue1
journal titleJournal of Computing and Information Science in Engineering
identifier doi10.1115/1.4025719
journal fristpage11007
journal lastpage11007
identifier eissn1530-9827
treeJournal of Computing and Information Science in Engineering:;2014:;volume( 014 ):;issue: 001
contenttypeFulltext


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