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contributor authorWang, Hua
contributor authorLin, Yujin
contributor authorYan, Chen
date accessioned2022-05-08T09:31:09Z
date available2022-05-08T09:31:09Z
date copyright2/11/2022 12:00:00 AM
date issued2022
identifier issn1530-9827
identifier otherjcise_22_4_041007.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4285232
description abstractClamping force and shimming are two important compensation processes in the composite assembly. Their effects on variation propagation should be investigated in tolerance analysis. The paper presents a tolerance analysis method for composites assembly based on the T-Maps method, mainly concerning the anisotropic variations accumulation and propagation where there is the clamping force modification and the shimming. Variations of the composite parts in different directions are represented by the T-Maps. Since the different axial deviations are represented in the same Euclidean point-space, the T-Maps-based tolerance analysis of the composite parts assembly provides more accurate and reliable results. Compensation processes, the clamping force, and the shimming, on assembly tolerance synthesis of the composite parts, are analyzed clearly in the T-Map. This procedure is found to be effective for the anisotropy-oriented assembly tolerance analysis, especially concerning about effect of the clamping force and the shimming on variations accumulation and propagation. The assembly of an aircraft composite elevator is considered to demonstrate the effectiveness of the T-Maps-based method. The procedures outlined in the paper are quite general and can be used for assembly tolerance analysis of anisotropic parts.
publisherThe American Society of Mechanical Engineers (ASME)
titleT-Maps-Based Tolerance Analysis of Composites Assembly Involving Compensation Strategies
typeJournal Paper
journal volume22
journal issue4
journal titleJournal of Computing and Information Science in Engineering
identifier doi10.1115/1.4053152
journal fristpage41007-1
journal lastpage41007-9
page9
treeJournal of Computing and Information Science in Engineering:;2022:;volume( 022 ):;issue: 004
contenttypeFulltext


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