Results 61 to 70 of about 4,774,761 (234)

Optimization of the Production of Rubber Compounds Using Mathematical Models

Advanced Engineering Materials, EarlyView.
Rubber compounds were mixed in a batch internal mixer, and symbolic regression was used to derive mathematical models linking recipe and process parameters to ram path, torque, and mixing quality (incorporation, dispersion, distribution). Subsequent optimization with evolutionary algorithms identified operating conditions that reduce specific energy ...
Anke Bardehle, Andreas Limper, Ulrich Giese, Carlos Lucke, Mario Beiner, Christoph Gögelein, Lisa Leuchtenberger‐Engel, Christian Hopmann   +7 more
wiley   +1 more source

Abaqus-Based Virtual Sensor for Runway Friction: Regression Model Development and Validation Using Tire Parameters

IEEE Access
The friction coefficient is a pivotal parameter that reflects the airworthiness condition of an airport runway. Although numerous innovative methods and techniques for measuring the runway friction coefficient have been proposed, the majority remain ...
Yadong Niu, Huabo Zhu, Wei Zhou, Jun Zhang   +3 more
doaj   +1 more source

Desempenho de um trator agrícola equipado com pneus radiais e diagonais com três níveis de lastros líquidos Performance of an agricultural tractor equipped with radial and bias ply tires on three levels of liquid ballast

Engenharia Agrícola, 2011
A utilização correta de pneus em tratores, tanto em relação ao seu tipo quanto à calibração de sua pressão interna, e a lastragem ideal para cada condição de carga são fatores que influem significativamente no desempenho do trator.
Leonardo de A. Monteiro, Kléber P. Lanças, Saulo P. S. Guerra   +2 more
doaj   +1 more source

Modular Critical Element Recycling Platform Using a Nanoporous Additively Manufactured Gyroid

Advanced Engineering Materials, EarlyView.
A modular recycling platform integrates 3D‐printed nanoporous gyroid structures to enable efficient critical element recovery. This system utilizes a hierarchical architecture, combining macroscopic channels with polymerization‐induced nanoscale porosity. By systematically tuning structural wall thickness and resin formulation, the platform achieves an
Xiangyu Gao, Keldy Mason, Mert Gülçür, Rachel Paddock‐Lamb, Prince Alvin Fofanah, Zachariah A. Page, Michael Cullinan   +6 more
wiley   +1 more source

Comparison of Triply Periodic Minimal Surface Energy Absorbers Under Uniaxial Compressive Loading

Advanced Engineering Materials, EarlyView.
This study investigates LCD 3D printed Triply Periodic Minimal Surface (TPMS) structures as mechanical energy absorbers. By comparing various base designs and layered combinations under uniaxial compression, it identifies that a Diamond‐Gyroid sandwich structure offers superior performance.
Sergej Grednev, Noah‐Lean Roschlaub, Anne Jung   +2 more
wiley   +1 more source

Damage assessment and fragility curve development for vehicle tires using shock tube experiments

Defence Technology
This study presents a fragility curve to assess explosively induced damage to military vehicle tires based on shock tube experiments. To replicate lateral damage scenarios that may occur in real battlefield environments involving missile or bomb ...
Sung-Jun Park, In-Gul Kim, Jae-Sang Park
doaj   +1 more source

Continuous Stiffness Graded Metal–Ceramic Femoral Stems: UMAT‐Based Design and Finite Element Assessment

Advanced Engineering Materials, EarlyView.
Functionally graded metal–ceramic femoral stems are engineered through continuous UMAT‐based stiffness tailoring, eliminating discrete material interfaces while enhancing biomechanical compatibility. Low‐index power‐law gradation optimizes load transfer, reduces stress shielding, and controls implant–bone micromotion, highlighting a materials‐design ...
Rihem Nouira, Sameh Elleuch, Hanen Jrad
wiley   +1 more source

New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design

Advanced Engineering Materials, EarlyView.
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare, Y. Beideler, D. Chune, R. De Guio, T. Roland, H. Chibane   +5 more
wiley   +1 more source

Enhancing Fatigue Crack Growth Resistance in Heterostructured Aluminum Bimetals by Tailored Interface Design

Advanced Engineering Materials, EarlyView.
Different Al/Al bimetals with a single engineered interface reveal how mechanical mismatch governs fatigue crack growth under cyclic loading. Additionally, loading–unloading–reloading tests link the microyielding behavior to the fatigue crack growth resistance, while crack‐path analysis reveals toughening mechanisms at the interface, highlighting ...
Sebastian Vollath, Philip Manuel Pohl, Heinz Werner Höppel   +2 more
wiley   +1 more source

Thermo-Mechanical Behavior Simulation and Experimental Validation of Segmented Tire Molds Based on Multi-Physics Coupling

Applied Sciences
To address the challenges of unclear thermo-mechanical coupling mechanisms and unpredictable multi-field synergistic effects in segmented tire molds during vulcanization, this study focuses on segmented tire molds and proposes a multi-physics coupling ...
Wenkang Xiao, Fang Cao, Jianghai Lin, Hao Wang, Chongyi Liu   +4 more
doaj   +1 more source