Results 141 to 150 of about 46,315 (315)

Comparative Wear and Friction Analysis of Sliding Surface Materials for Hydrostatic Bearing under Oil Supply Failure Conditions

Advanced Engineering Materials, EarlyView.
Hydrostatic bearings excel in high‐precision applications, but their performance hinges on a continuous external supply. This study evaluates various material combinations for sliding surfaces to mitigate damage during supply failures or misalignment and to discover the most effective materials identified for enhancing the reliability and efficiency of
Michal Michalec, Lukáš Daněk, Jan Foltýn, Petr Svoboda, Carsten Gachot, Martin Hartl, Ivan Křupka   +6 more
wiley   +1 more source

Consumer behaviour and Advanced Mobile Data Services: opening the 'black box' of the individual's choice process [PDF]

, 2008
Ioanna Constantiou
openalex   +1 more source

A Computational Model to Predict Consumer Behaviour During COVID-19 Pandemic. [PDF]

Comput Econ, 2022
Safara F.
europepmc   +1 more source

Bistable Mechanisms 3D Printing for Mechanically Programmable Vibration Control

Advanced Engineering Materials, EarlyView.
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, Frédéric Demoly, Mohammad Lakhi, Bernard Rolfe, Mahdi Bodaghi   +4 more
wiley   +1 more source

Modelling of Consumer Behaviour for Deposit Systems in Collection of Empty Cans and Bottles

, 2002
Akio Kondo, Yoshida Ken-ichi, Michihisa Oda   +2 more
openalex   +2 more sources

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

Advanced Engineering Materials, EarlyView.
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, Surabhi Nadigotti, Erfan Fatehi, Derek Aranguren van Egmond, Behnam Ashrafi   +4 more
wiley   +1 more source

Environmental Damage and Price Taking Behaviour by Firms and Consumers [PDF]

, 2009
Harold Houba, Hans Kremers
openalex   +1 more source

Multiscale Modeling of Process‐Induced Defects in Fused Filament Fabrication‐Printed Materials

Advanced Engineering Materials, EarlyView.
This study presents a predictive multiscale modeling tool for defect analysis of fused filament fabricated‐printed materials and their performance prediction using a mechanistic data science‐based reduced‐order modeling approach. Process‐induced defects are inherent to additively manufactured parts and significantly influence the performance of printed
Satyajit Mojumder, Derick Suarez, Trevor Abbott, Wing Kam Liu   +3 more
wiley   +1 more source

Editorial: Neuromanagement and Neuromarketing

Frontiers in Psychology, 2022
Vincenzo Russo, Qingguo Ma, Jesper Clement, Jia Jin, Tao Liu, Margherita Zito   +5 more
doaj   +1 more source

Sustainable consumer behaviour

To avoid catastrophic changes in Earth systems that will seriously reduce the livability of our planet, we urgently need to change the way we produce and consume, reducing both the extraction of resources from and emissions to the environment. The sustainability of consumption patterns depends on motivation, ability, and opportunity to choose ...
openaire   +3 more sources