Results 51 to 60 of about 401,010 (297)
Viscous Dissipation and Heat Conduction in Binary Neutron-Star Mergers. [PDF]
Inferring the properties of dense matter is one of the most exciting prospects from the measurement of gravitational waves from neutron star mergers.
M. Alford +4 more
semanticscholar +1 more source
Bistable Mechanisms 3D Printing for Mechanically Programmable Vibration Control
This work introduces a 3D‐printed bistable mechanism integrated into tuned mass dampers (TMDs) for mechanically adaptive passive vibration suppression. Through optimized geometry, the bistable design provides adaptable vibration reduction across a broad range of scenarios, achieving effective vibration mitigation without complex controls or external ...
Ali Zolfagharian +4 more
wiley +1 more source
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani +4 more
wiley +1 more source
Flow Field Analysis of Francis Turbine Draft Tube using POD at Design and Part Load Operating Conditions [PDF]
The hydraulic turbines, especially Francis turbines, frequently run at part load (PL) conditions to meet the dynamic energy needs. The flow field at the runner exit changes significantly with a change in the operating point.
S. Kumar, M. J. Cervantes, B. K. Gandhi
doaj +1 more source
Laser surface texturing significantly improves the corrosion resistance and mechanical strength of 3D‐printed iron polylactic acid (Ir‐PLA) for marine applications. Optimal laser parameters reduce corrosion by 80% and enhance tensile strength by 25% and ductility by 15%.
Mohammad Rezayat +6 more
wiley +1 more source
Capturing functional relations in fluid–structure interaction via machine learning
While fluid–structure interaction (FSI) problems are ubiquitous in various applications from cell biology to aerodynamics, they involve huge computational overhead. In this paper, we adopt a machine learning (ML)-based strategy to bypass the detailed FSI
Tejas Soni +5 more
doaj +1 more source
From Nature to Engineering: Mortar Volume and Interfacial Mechanics in Bioinspired Ceramics
Inspired by natural armors like nacre, this study explores how varying the volume fraction of the soft mortar layer impacts the interfacial strength and toughness of bioinspired ceramics. Experimental and computational analysis reveals that higher mortar volumes increase energy dissipation but reduce interfacial stiffness, offering insights for ...
Ehsan Azad +4 more
wiley +1 more source
Validation of Numerical Computations and Turbulence Models Combinations for Gas Turbine Cascade Blade Flow [PDF]
The accuracy of computer codes for turbo-machinery turbulent flow field calculations relies strongly on the type and behavior of the turbulence model used in the computations.
Assim Yousif Hameed, Hakem Tarteb
doaj +1 more source
Dissipation of chlorpyrifos in apples under storage conditions in Kashmir Valley
The present study was done to monitor the degradation pattern of chlorpyrifos on Golden Delicious apples in the Kashmir valley under storage conditions.
Maeena Naman Shafiee +2 more
doaj +1 more source
Ni‐base superalloys produced using additive manufacturing (AM) have a different response to heat treatments when compared to their conventional counterparts. Due to such unpredictability, various alloys with industrial interest are currently overlooked in most prior AM research.
Guilherme Maziero Volpato +6 more
wiley +1 more source

