51 research outputs found

    An efficient strategy to describe the propagation of variation through multi-stage metal forming processes

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    In this work an efficient strategy to describe the propagation of uncertainty throughout a production process is proposed and validated. A two-stage metal forming process is used to demonstrate the proposed strategy. A metamodel of the first stage is built using a singular value decomposition combined with multiquadric radial basis functions. The strategy is validated by comparing the propagated results from the first stage, of both the metamodel and a finite element model, to a second stage finite element model for a new set of validation points. Using the proposed strategy, it will be possible to efficiently optimize multi-stage processes under uncertainty.</p

    The Content of Native American Cultural Stereotypes in Comparison to Other Racial Groups

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    abstract: Despite a large body of research on stereotypes, there have been relatively few empirical investigations of the content of stereotypes about Native Americans. The primary goal of this research was to systematically explore the content of cultural stereotypes about Native Americans and how stereotypes about Native Americans differ in comparison to stereotypes about Asian Americans and African Americans. Building on a classic paradigm (Katz and Braly, 1933), participants were asked to identify from a list of 145 adjectives those words associated with cultural stereotypes of Native Americans and words associated with stereotypes of Asian Americans (Study 1) or African Americans (Study 2). The adjectives associated with stereotypes about Native Americans were significantly less favorable than the adjectives associated with stereotypes about Asian Americans, but were significantly more favorable than the adjectives associated with stereotypes about African Americans. Stereotypes about Native Americans, Asian Americans and African Americans were also compared along the dimensions of the stereotype content model (SCM; Fiske, et al., 2002), which proposes that stereotypes about social groups are based on the core dimensions of perceived competence, warmth, status, and competitiveness. Native Americans were rated as less competent, less of a source of competition, and lower in social status than Asian Americans, and less competent and lower in social status than African Americans. No significant differences were found in perceived warmth across the studies. Combined, these findings contribute to a better understanding of stereotypes about Native Americans and how they may differ from stereotypes about other racial groups.Dissertation/ThesisM.S. Psychology 201

    Mesh management methods in finite element simulations of orthodontic tooth movement

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    In finite element simulations of orthodontic tooth movement, one of the challenges is to represent long term tooth movement. Large deformation of the periodontal ligament and large tooth displacement due to bone remodelling lead to large distortions of the finite element mesh when a Lagrangian formalism is used. We propose in this work to use an Arbitrary Lagrangian Eulerian (ALE) formalism to delay remeshing operations. A large tooth displacement is obtained including effect of remodelling without the need of remeshing steps but keeping a good-quality mesh. Very large deformations in soft tissues such as the periodontal ligament is obtained using a combination of the ALE formalism used continuously and a remeshing algorithm used when needed. This work demonstrates that the ALE formalism is a very efficient way to delay remeshing operations

    Finite Element Analysis of Bone and Experimental Validation

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    This chapter describes the application of the finite element (FE) method to bone tissues. The aspects that differ the most between bone and other materials’ FE analysis are the type of elements used, constitutive models, and experimental validation. These aspects are looked at from a historical evolution stand point. Several types of elements can be used to simulate similar bone structures and within the same analysis many types of elements may be needed to realistically simulate an anatomical part. Special attention is made to constitutive models, including the use of density-elasticity relationships made possible through CT-scanned images. Other more complex models are also described that include viscoelasticity and anisotropy. The importance of experimental validation is discussed, describing several methods used by different authors in this challenging field. The use of cadaveric human bones is not always possible or desirable and other options are described, as the use of animal or artificial bones. Strain and strain rate measuring methods are also discussed, such as rosette strain gauges and optical devices.publishe

    Are CT-Based Finite Element Model Predictions of Femoral Bone Strengthening Clinically Useful?

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    Purpose of Review: This study reviews the available literature to compare the accuracy of areal bone mineral density derived from dual X-ray absorptiometry (DXA-aBMD) and of subject-specific finite element models derived from quantitative computed tomography (QCT-SSFE) in predicting bone strength measured experimentally on cadaver bones, as well as their clinical accuracy both in terms of discrimination and prediction. Based on this information, some basic cost-effectiveness calculations are performed to explore the use of QCT-SSFE instead of DXA-aBMD in (a) clinical studies with femoral strength as endpoint, (b) predictor of the risk of hip fracture in low bone mass patients. Recent Findings: Recent improvements involving the use of smooth-boundary meshes, better anatomical referencing for proximal-only scans, multiple side-fall directions, and refined boundary conditions increase the predictive accuracy of QCT-SSFE. Summary: If these improvements are adopted, QCT-SSFE is always preferable over DXA-aBMD in clinical studies with femoral strength as the endpoint, while it is not yet cost-effective as a hip fracture risk predictor, although pathways that combine both QCT-SSFE and DXA-aBMD are promising

    Patient specific prediction of bone failure using microstructure-enhanced continuum finite element models

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