Identifying sources of variation in horizontal stabilizer assembly using finite element analysis and principal component analysis

2013 ◽  
Vol 33 (1) ◽  
pp. 86-96 ◽  
Author(s):  
Hua Wang ◽  
Xin Ding
Keyword(s):  
Finite Element Analysis ◽  
Principal Component Analysis ◽  
Finite Element ◽  
Principal Component ◽  
Component Analysis ◽  
Element Analysis ◽  
Sources Of Variation

Compliant Assembly Variation Analysis Using Components Geometric Covariance

Manufacturing ◽  
2002 ◽  
Author(s):  
Jaime A. Camelio ◽  
S. Jack Hu
Keyword(s):  
Principal Component Analysis ◽  
Finite Element ◽  
Sheet Metal ◽  
Finite Element Methods ◽  
Principal Component ◽  
Deformation Mode ◽  
Component Analysis ◽  
Variation Analysis ◽  
The Individual ◽  
Sheet Metal Assembly

Dimensional variation is one of the most critical issues in the design of assembled products. This is especially important for the assembly of compliant, non-rigid parts since clamping and joining during assembly may introduce additional variation due to part deformation and springback. This paper presents a new methodology to predict sheet metal assembly variation using the components geometric covariance. The approach combines the use of principal component analysis and finite element methods to estimate the effect of components variation on assembly variation. Principal component analysis is applied to extract deformation patterns from production data, decomposing the component covariance in the individual contribution of these deformation “modes”. Finite element methods are used to determine the effect of each deformation “mode” over the assembly variation. The proposed methodology allows significant reduction in the computation effort required for variation analysis in sheet metal assembly. A case study is presented to illustrate the methodology.

Compliant Assembly Variation Analysis Using Component Geometric Covariance

2004 ◽  
Vol 126 (2) ◽  
pp. 355-360 ◽  
Author(s):  
Jaime A. Camelio ◽  
S. Jack Hu ◽  
Samuel P. Marin
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Principal Component ◽  
Computational Effort ◽  
Deformation Pattern ◽  
Variation Analysis ◽  
Element Analysis ◽  
Compliant Assembly ◽  
Compliant Parts ◽  
Deformation Patterns

Dimensional variation is one of the most critical issues in the design of assembled products. This is especially true for the assembly of compliant parts since clamping and joining during assembly may introduce additional variation due to part deformation and springback. This paper discusses the effect of geometric covariance in the calculation of assembly variation of compliant parts. A new method is proposed for predicting compliant assembly variation using the component geometric covariance. It combines the use of principal component analysis (PCA) and finite element analysis in estimating the effect of part/component variation on assembly variation. PCA is used to extract deformation patterns from production data, decomposing the component covariance into the individual contributions of these deformation patterns. Finite element analysis is used to determine the effect of each deformation pattern over the assembly variation. The proposed methodology can significantly reduce the computational effort required in variation analysis of compliant assemblies. A case study is presented to illustrate the methodology.

scholarly journals Assessment of Peri-Articular Implant Fitting Based on Statistical Finite Element Modeling

2008 ◽  
Author(s):  
Serena Bonaretti ◽  
Nils Reimers ◽  
Mauricio Reyes ◽  
Andrei Nikitsin ◽  
Anders Joensson ◽  
...  
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Principal Component ◽  
Target Population ◽  
Bone Surface ◽  
Biomechanical Stability ◽  
Element Analysis ◽  
Bone Implant ◽  
Implant Position ◽  
Best Fit

We present a framework for statistical finite element analysis allowing performing statistical statements of biomechanical performance of peri-articular implants across a given population. In this paper, we focus on the design of orthopaedic implants that fit a maximum percentage of the target population, both in terms of geometry and biomechanical stability. CT scans of the bone under consideration are registered non-rigidly to obtain correspondences in position between them. A statistical model of shape is computed by means of principal component analysis. A method to automatically propagate standardize fractures on the statistically-based bone population has been developed as well as tools to optimize implant position to best-fit the bone surface. Afterwards, finite element analysis is performed to analyse the biomechanical performance of the bone/implant construct. The mechanical behaviour of different PCA bone instances is compared for tibia representing the Asian and Caucasian populations.

A German version of the Intermittent Claudication Questionnaire (ICQ): cultural adaptation and validation

VASA ◽  
2012 ◽  
Vol 41 (5) ◽  
pp. 333-342 ◽  
Author(s):  
Kirchberger ◽  
Finger ◽  
Müller-Bühl
Keyword(s):  
Principal Component Analysis ◽  
Intermittent Claudication ◽  
Completion Time ◽  
Short Form ◽  
Principal Component ◽  
Component Analysis ◽  
German Version ◽  
Average Completion Time ◽  
Sf 36 ◽  
Related Quality

Background: The Intermittent Claudication Questionnaire (ICQ) is a short questionnaire for the assessment of health-related quality of life (HRQOL) in patients with intermittent claudication (IC). The objective of this study was to translate the ICQ into German and to investigate the psychometric properties of the German ICQ version in patients with IC. Patients and methods: The original English version was translated using a forward-backward method. The resulting German version was reviewed by the author of the original version and an experienced clinician. Finally, it was tested for clarity with 5 German patients with IC. A sample of 81 patients were administered the German ICQ. The sample consisted of 58.0 % male patients with a median age of 71 years and a median IC duration of 36 months. Test of feasibility included completeness of questionnaires, completion time, and ratings of clarity, length and relevance. Reliability was assessed through a retest in 13 patients at 14 days, and analysis of Cronbach’s alpha for internal consistency. Construct validity was investigated using principal component analysis. Concurrent validity was assessed by correlating the ICQ scores with the Short Form 36 Health Survey (SF-36) as well as clinical measures. Results: The ICQ was completely filled in by 73 subjects (90.1 %) with an average completion time of 6.3 minutes. Cronbach’s alpha coefficient reached 0.75. Intra-class correlation for test-retest reliability was r = 0.88. Principal component analysis resulted in a 3 factor solution. The first factor explained 51.5 of the total variation and all items had loadings of at least 0.65 on it. The ICQ was significantly associated with the SF-36 and treadmill-walking distances whereas no association was found for resting ABPI. Conclusions: The German version of the ICQ demonstrated good feasibility, satisfactory reliability and good validity. Responsiveness should be investigated in further validation studies.

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