P‐42: Novel Stress Profile for Chemically Strengthened Glass with High Drop Strength.

2020 ◽  
Vol 51 (1) ◽  
pp. 1506-1508
Author(s):  
Tomonori Ichimaru ◽  
Ken Yuki ◽  
Kosuke Kawamoto ◽  
Takashi Murata ◽  
Kiyotaka Kinoshita ◽  
...  
Keyword(s):  
Stress Profile ◽  
Strengthened Glass

Gradient scattered light method for non-destructive stress profile determination in chemically strengthened glass

2016 ◽  
Vol 51 (12) ◽  
pp. 5962-5978 ◽  
Author(s):  
Siim Hödemann ◽  
Andreas Valdmann ◽  
Johan Anton ◽  
Takashi Murata
Keyword(s):  
Scattered Light ◽  
Stress Profile ◽  
Strengthened Glass ◽  
Non Destructive

Stress profile determination in chemically strengthened glass using scattered light

1979 ◽  
Vol 14 (12) ◽  
pp. 2981-2988 ◽  
Author(s):  
W. Bradshaw
Keyword(s):  
Scattered Light ◽  
Stress Profile ◽  
Strengthened Glass

Biofeedback Stress Profile

2010 ◽  
Author(s):  
Richard Harvey
Keyword(s):  
Stress Profile

Flaws and cracks stability in strengthened glass by residual stress

ce/papers ◽  
2018 ◽  
Vol 2 (5-6) ◽  
pp. 341-350
Author(s):  
Guglielmo Macrelli
Keyword(s):  
Residual Stress ◽  
Strengthened Glass

Validation of the Derogatis Stress Profile Using Laboratory and Real World Data

1991 ◽  
Vol 56 (4) ◽  
pp. 185-196 ◽  
Author(s):  
Patricia L. Dobkin ◽  
Robert O. Pihl ◽  
Claude Breault
Keyword(s):  
Real World ◽  
Stress Profile ◽  
Real World Data ◽  
World Data

Finite element modeling of residual stress profile patterns in hard turning

2009 ◽  
Vol 24 (S1) ◽  
pp. S22-S25
Author(s):  
Y. B. Guo ◽  
S. Anurag
Keyword(s):  
Residual Stress ◽  
Finite Element ◽  
Finite Element Modeling ◽  
Hard Turning ◽  
Internal State ◽  
Stress Profile ◽  
Surface Residual Stress ◽  
Mechanical Coupling ◽  
Element Modeling ◽  
Stress Profiles

Hard turning, i.e., turning hardened steels, may produce the unique “hook” shaped residual stress (RS) profile characterized by surface compressive RS and subsurface maximum compressive RS. However, the formation mechanism of the unique RS profile is not yet known. In this study, a novel hybrid finite element modeling approach based on thermal-mechanical coupling and internal state variable plasticity model has been developed to predict the unique RS profile patterns by hard turning AISI 52100 steel (62 HRc). The most important controlling factor for the unique characteristics of residual stress profiles has been identified. The transition of maximum residual stress at the surface to the subsurface has been recovered by controlling the plowed depth. The predicted characteristics of residual stress profiles favorably agree with the measured ones. In addition, friction coefficient only affects the magnitude of surface residual stress but not the basic shape of residual stress profiles.

Proposed Fracture Theory of a Dispersion-Strengthened Glass Matrix

1966 ◽  
Vol 49 (2) ◽  
pp. 68-72 ◽  
Author(s):  
D. P. H. HASSELMAN ◽  
R. M. FULRATH
Keyword(s):  
Glass Matrix ◽  
Strengthened Glass ◽  
Fracture Theory

scholarly journals Structural Equation Modeling of a Global Stress Index in Healthy Soldiers

2021 ◽  
Vol 10 (8) ◽  
pp. 1799
Author(s):  
Tanja Maier ◽  
Melanie Kugelmann ◽  
Dae-Sup Rhee ◽  
Sebastian Brill ◽  
Harald Gündel ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Cardiovascular Risk ◽  
Chronic Stress ◽  
Structural Equation ◽  
Hierarchical Level ◽  
Stress Index ◽  
Equation Modeling ◽  
Stress Profile ◽  
Acute And Chronic Stress ◽  
Global Stress

Accumulation of stress is a prognostic trigger for cardiovascular disease. Classical scores for cardiovascular risk estimation typically do not consider psychosocial stress. The aim of this study was to develop a global stress index (GSI) from healthy participants by combining individual measures of acute and chronic stress from childhood to adult life. One-hundred and ninety-two female and male soldiers completed the Perceived Stress Scale (PSS4), Trier Inventory for Chronic Stress (TICS), Hospital Anxiety and Depression Scale (HADS), Childhood Trauma Questionnaire (CTQ), Posttraumatic Diagnostic Scale Checklist (PDS), and the Deployment Risk and Resilience Inventory (DRRI-2). The underlying structure for the GSI was examined through structural equation modeling. The final hierarchical multilevel model revealed fair fit by taking modification indices into account. The highest order had a g-factor called the GSI. On a second level the latent variables stress, HADS and CTQ were directly loading on the GSI. A third level with the six CTQ subscales was implemented. On the lowest hierarchical level all manifest variables and the DRRI-2/PDS sum scores were located. The presented GSI serves as a valuable and individual stress profile for soldiers and could potentially complement classical cardiovascular risk factors.

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