Results 71 to 80 of about 3,940,120 (250)
Short-Cut Method to Assess a Gross Available Energy in a Medium-Load Screw Friction Press
The present study proposed a rapid method, based on a previous universal compression tests, to estimate the required load capacity to cold forge different specimen quantity in a screw press.
A.J. Sánchez Egea +4 more
doaj +1 more source
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science
We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann +8 more
wiley +1 more source
A Physics-Informed CFD–Machine Learning Framework for Piston Bowl Optimization Toward Enhanced Tumble in a Small Diesel Engine [PDF]
Strong in-cylinder tumble motion enhances turbulent mixing and combustion efficiency in compression ignition engines. However, the geometry–tumble relationship remains poorly quantified, particularly in small agricultural diesel engines where design is ...
Huynh Giang Luong +3 more
doaj +1 more source
PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science
Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
wiley +1 more source
Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara +8 more
wiley +1 more source
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran +6 more
wiley +1 more source
Broadband dual-frequency comb spectroscopy in a rapid compression machine [PDF]
We demonstrate fiber mode-locked dual frequency comb spectroscopy for broadband, high resolution measurements in a rapid compression machine (RCM). We apply an apodization technique to improve the short-term signal-to-noise-ratio (SNR), which enables ...
Draper, Anthony D. +7 more
core +1 more source
Printing Press, Rapid City SD, Pennington County
4 x 5 photograph, a printing pressTowns Provo - Rapid City P35 Tab R Poster board Rapid City P35 [stamp] Property of South Dakota State Historical Society Pierre, South Dakota [stamp] Give photo credit to: South Dakota State Historical Society.
Rapid City Journal
core +1 more source
Correlation analysis and prediction models for loess compressibility in Ili region, Xinjiang.
Loess compressibility is a crucial engineering parameter governing the deformation of loess foundations and the evolution of slope geohazards. Based on a comprehensive collection of physical, hydraulic, and mechanical parameters of loess in the Ili ...
Zhiqi Liu +4 more
doaj +1 more source

