CLD Parameters of Door Frame Seal and Door Seal.

CLD Parameters of Door Frame Seal and Door Seal.

<div><p>The accuracy of calculating the reaction force in vehicle sealing systems using moment equilibrium equations from statics is highly dependent on the degree of simplification in the mathematical model. This study demonstrates that employing the Finite Element (FE) method allows fo...

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Номзүйн дэлгэрэнгүй
Үндсэн зохиолч:	Zhong Yang (131821) (author)
Бусад зохиолчид:	Luoxing Li (22683436) (author), Jing Huang (41604) (author), Guoqing Chen (427510) (author), Zhengqing Liu (2556097) (author), Zhenhu Wang (22683439) (author)
Хэвлэсэн:	2025
Нөхцлүүд:	Biochemistry Neuroscience Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified vehicle sealing systems compression load deflection close agreement verifies side seal yields complex door structure xlink "> study provides study demonstrates reaction force mathematical model highly dependent flexible seal finite element established using coupling effects comprehensive strategy comprehensive consideration boundary variables approach improves
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!

Ижил төстэй зүйлс

CLD Curve of Door Frame Seal.
-н: Zhong Yang (131821)
Хэвлэсэн: (2025)

CLD Curve of Door Seal.
-н: Zhong Yang (131821)
Хэвлэсэн: (2025)

Contribution of different regions of the door frame seal to the sealing system reaction force (N).
-н: Zhong Yang (131821)
Хэвлэсэн: (2025)

Contribution of different regions of the door seal to the sealing system reaction force (N).
-н: Zhong Yang (131821)
Хэвлэсэн: (2025)

Schematic diagram of (a) vehicle door sealing system and (b) sealing strip.
-н: Zhong Yang (131821)
Хэвлэсэн: (2025)

Section view of the vehicle door sealing system corresponding to Figure 2(b).
-н: Zhong Yang (131821)
Хэвлэсэн: (2025)

Y-direction displacement contour of the door frame.
-н: Zhong Yang (131821)
Хэвлэсэн: (2025)

Sealing system reaction force.
-н: Zhong Yang (131821)
Хэвлэсэн: (2025)

Schematic diagram of vehicle door force distribution.
-н: Zhong Yang (131821)
Хэвлэсэн: (2025)

Schematic diagram of seal test specimens.
-н: Zhong Yang (131821)
Хэвлэсэн: (2025)

Test Bench for seal compression load testing.
-н: Zhong Yang (131821)
Хэвлэсэн: (2025)

Simulation and test results of sealing system reaction force.
-н: Zhong Yang (131821)
Хэвлэсэн: (2025)

Coupled FE model of (a) sealing strip and (b) hinge.
-н: Zhong Yang (131821)
Хэвлэсэн: (2025)

Material parameters.
-н: Zhong Yang (131821)
Хэвлэсэн: (2025)

Mesh statistics.
-н: Zhong Yang (131821)
Хэвлэсэн: (2025)

Static closing force test.
-н: Zhong Yang (131821)
Хэвлэсэн: (2025)

Reaction force contour at the observation point.
-н: Zhong Yang (131821)
Хэвлэсэн: (2025)

Analysis flowchart.
-н: Zhong Yang (131821)
Хэвлэсэн: (2025)

Multi-boundary FE model.
-н: Zhong Yang (131821)
Хэвлэсэн: (2025)

The simulation parameters.
-н: Ziyang Xing (22683634)
Хэвлэсэн: (2025)

Simulation parameters for UAV path planning.
-н: Meiqing Xu (8502255)
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The Informational Lattice of the Primes: The Mertens-Zeta Hidden Architecture System (Extension of the Unified Field System, Equation of Everything, and the Zeta-Consciousness Interface)
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The Cykloid-Adelic Recursive Expansive Field Equation (CARE)
-н: Del Bel, Julian (21403013)
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Supplementary file 1_Prehospital intravenous access is associated with decreased door-to-computed tomography and door-to-intravenous thrombolysis time, but not door-to-endovascular therapy time.docx
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Хэвлэсэн: (2025)

Recursive-Expansive Dynamics Frameworks Formalization with Negation Isolation and Inverse Zero Operators
-н: Del Bel, Julian (21403013)
Хэвлэсэн: (2025)

Main parameters for our simulations [59].
-н: Minh Tran (7698803)
Хэвлэсэн: (2025)

Fast and robust invariant generalized linear models
-н: Parker Knight (22683015)
Хэвлэсэн: (2025)

Additional file 2 of Machine learning model for predicting severe infection in children with idiopathic nephrotic syndrome: multicenter retrospective study
-н: Sijie Yu (8895605)
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Additional file 1 of Machine learning model for predicting severe infection in children with idiopathic nephrotic syndrome: multicenter retrospective study
-н: Sijie Yu (8895605)
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Assessment of soil erosion risks and prioritizing nature-based conservation practices using RUSLE, geospatial techniques and household surveys in central Ethiopia
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Albumin–globulin ratio is a predictive biomarker of antitumour effect of immune checkpoint inhibitors in cancer patients
-н: Kaixiang He (13263834)
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Additional file 14 of Development of a cancer metastasis-associated risk model via multi-machine-learning algorithms for prognostic risk evaluation and clinical application in oral squamous cell carcinoma
-н: Xu Han (141301)
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Additional file 13 of Development of a cancer metastasis-associated risk model via multi-machine-learning algorithms for prognostic risk evaluation and clinical application in oral squamous cell carcinoma
-н: Xu Han (141301)
Хэвлэсэн: (2025)

Additional file 12 of Development of a cancer metastasis-associated risk model via multi-machine-learning algorithms for prognostic risk evaluation and clinical application in oral squamous cell carcinoma
-н: Xu Han (141301)
Хэвлэсэн: (2025)

Additional file 11 of Development of a cancer metastasis-associated risk model via multi-machine-learning algorithms for prognostic risk evaluation and clinical application in oral squamous cell carcinoma
-н: Xu Han (141301)
Хэвлэсэн: (2025)

Parameters for forward simulation using serosim [38].
-н: Marco Hamins-Puértolas (15238661)
Хэвлэсэн: (2025)

Parameter values for four-pathway synaptic plasticity model.
-н: Nicholas Hananeia (22683665)
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Parameters found in Bayesian estimation framework, definition, and prior distribution.
-н: Marco Hamins-Puértolas (15238661)
Хэвлэсэн: (2025)

Comparative analysis of spike sorting using Uniform Manifold Approximation and Projection (UMAP) vs. feature-based methods in in vivo extracellular recordings.
-н: Daniel Suárez-Barrera (22676654)
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Spatiotemporal spike sorting on multi-electrode array (MEA) data: Uniform Manifold Approximation and Projection (UMAP) vs. SpyKING CIRCUS (SC).
-н: Daniel Suárez-Barrera (22676654)
Хэвлэсэн: (2025)

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