Results 141 to 150 of about 320,019 (256)

Microstructure-Machinability correlation in heat treated AISI 1040 steel: Comparative analysis of tool life and surface roughness. [PDF]

PLoS One
Poojary UR, Hegde A, Hegde S, Mahale RS.
europepmc   +1 more source

Karl Popper and the Mechanisms of Hydrogen Embrittlement

Advanced Engineering Materials, EarlyView.
Representation of the beginning of loss of ductility rather than embrittlement. Small concentrations of hydrogen in a diffusible form within iron are well‐established to harm the mechanical integrity of steels. There are theories that attempt to explain the pernicious role of hydrogen.
H. K. D. H. Bhadeshia
wiley   +1 more source

Effect of Some Cutting Parameters on Surface Finish of Bright Mild Steel

Journal of Applied Sciences and Environmental Management
The objective of this paper was to evaluate the effect of some cutting parameters on surface finish of bright mild steel (BMS). Samples were cut into the required piece with dimension 50mm x 200mm and the turning operation done using a tungsten carbide ...
E. Obojoh, T. I. Francis-Akilaki
doaj  

Limited Accuracy of Tibial Stylus Measurements in Conventional Total Knee Arthroplasty. [PDF]

J Clin Med
Haider O, Scheidl T, Jungwirth-Weinberger A, Raje AD, Angadi DS, Buday Z, Muellner K, Kasparek MF, Muellner T.   +8 more
europepmc   +1 more source

Understanding the Stochastic Nature of Process Parameter Development of Blown Powder Laser Beam Directed Energy Deposition Additive Manufacturing of Pure Molybdenum

Advanced Engineering Materials, EarlyView.
Identified through the use of statistical design of experiments and metallographic investigation, this study exposes the stochastic origins of intergranular cracks in blown powder laser beam directed energy deposition additive manufacturing of pure molybdenum. It further demonstrates a successful crack mitigation approach with direct correlation to the
Nathaniel J. Lies, Daniel E. Driemeyer, Aaron P. Stebner   +2 more
wiley   +1 more source

Investigating the Machining Quality of Additively Manufactured Composite: Multi-Response Modeling and Evolutionary Optimization. [PDF]

Micromachines (Basel)
Tzotzis A, Nedelcu D, Mazurchevici SN, Kyratsis P.   +3 more
europepmc   +1 more source

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

Advanced Engineering Materials, EarlyView.
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier, Moritz Blum, Luana Caron, Alisa Chirkova, Philipp Cimiano, Basil Ell, Inga Ennen, Michael Feige, Maik Gaerner, Thomas Hilbig, Andreas Hütten, Günter Reiss, Tapas Samanta, Sonja Schöning, Christian Schröder, Lennart Schwan, Chris Taake, Martin Wortmann   +17 more
wiley   +1 more source

Biomechanical risk factors for tibial plateau fracture following Oxford unicompartmental knee arthroplasty: a finite element analysis under gait loading. [PDF]

Front Bioeng Biotechnol
Ji J, Xue L, Hou Y, Li Z, Tu Y, Xue H, Wen T, Yang T, Ma T.   +8 more
europepmc   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
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, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

Multimodal Data‐Driven Microstructure Characterization

Advanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang, Santiago Benito, Özge Özgün, Sebastian Weber, Markus Stricker   +4 more
wiley   +1 more source