A Case‐Based Reasoning Approach to Model Manufacturing Constraints for Impact Extrusion
Advanced Engineering Materials, EarlyView.A hybrid modeling approach is presented that combines constraint‐based process modeling and case‐based reasoning. The model formalizes manufacturing constraints and integrates simulation data to model complex manufacturing processes. The approach supports manufacturability analysis during product design through an adaptive modeling environment.
Kevin Herrmann +5 more
wiley +1 more source
Pulse pressure variation and stroke volume variation to predict fluid responsiveness in patients undergoing carotid endarterectomy [PDF]
Korean Journal of Anesthesiology, 2013 BackgroundDuring carotid endarterectomy (CEA), hemodynamic stability and adequate fluid management are crucial to prevent perioperative cerebral stroke, myocardial infarction and hyperperfusion syndrome.
Kyung Mi Kim +5 more
doaj +1 more source
Online Stroke and Akshara Recognition GUI in Assamese Language Using Hidden Markov Model [PDF]
arXiv, 2014 The work describes the development of Online Assamese Stroke & Akshara Recognizer based on a set of language rules. In handwriting literature strokes are composed of two coordinate trace in between pen down and pen up labels. The Assamese aksharas are combination of a number of strokes, the maximum number of strokes taken to make a combination being ...
arxiv
From Damage to Functionality: Remanufacturing of Thrust Roller Bearings by Tailored Forming
Advanced Engineering Materials, EarlyView.Herein, the wear and fatigue behavior of repaired bearing raceways with a new powder alloy is investigated using a FE8 test‐rig and an oscillating tribometer. The tests are compared with industrial manufactured bearings to evaluate the repair quality. The repair can extend the service life of the repaired bearing to that of a new bearing and improves ...
Felix Saure +3 more
wiley +1 more source
Three dimensional simulations of embolic stroke: clinical comparisons and an equation for sizing emboli from imaging [PDF]
arXiv, 2021 There is a need to develop Monte Carlo simulations of stroke to run in-silico trials to replace animal models, explore clinical scenarios to develop hypotheses for clinical studies and for interpreting clinical monitoring. We perform three-dimensional (3D) stroke simulations, carrying out in-silico trials to relate lesion volume to embolus diameter and
arxiv
A new internal combustion engine configuration: opposed pistons with crank offset [PDF]
, 2007 [Abstract]: Theoretical and experimental performance results for a new internal combustion engine configuration are presented in this paper. The engine is a piston ported, spark ignition petrol engine which consists of two opposed pistons in a single ...
Buttsworth, David R., Malpress, Ray
core +1 more source
A Different Perspective on the Solid Lubrication Performance of Black Phosphorous: Friend or Foe?
Advanced Engineering Materials, EarlyView.Researchers investigate black phosphorous (BP) as a standalone solid lubricant coating through ball‐on‐disc linear‐reciprocating sliding experiments in dry conditions. Testing on different metals shows BP doesn't universally reduce friction and wear. However, it achieves 33% friction reduction on rougher iron surfaces and 23% wear reduction on aluminum.
Matteo Vezzelli +5 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.Hybrid materials enable high‐performance components but are challenging to process. This study explores an inductive heating concept with spray cooling for steel–aluminum specimens in a two‐step process including friction welding and cup backward extrusion.
Armin Piwek +7 more
wiley +1 more source
Dehydration, hemodynamics and fluid volume optimization after induction of general anesthesia
Clinics, 2014 OBJECTIVES: Fluid volume optimization guided by stroke volume measurements reduces complications of colorectal and high-risk surgeries.
Yuhong Li +3 more
doaj +1 more source
Image Translation for Medical Image Generation -- Ischemic Stroke Lesions [PDF]
arXiv, 2020 Deep learning based disease detection and segmentation algorithms promise to improve many clinical processes. However, such algorithms require vast amounts of annotated training data, which are typically not available in the medical context due to data privacy, legal obstructions, and non-uniform data acquisition protocols.
arxiv