MOHRI, Naotake, SAITO, Nasao
openaire +2 more sources
Parametric optimization of graphite powder-mixed electrical discharge machining of Ni-Cr dental alloy by response surface methodology. [PDF]
San ES +7 more
europepmc +1 more source
A study on Electrical Discharge Machining of Titanium Grade2 with experimental and theoretical analysis. [PDF]
Papazoglou EL +3 more
europepmc +1 more source
Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung +7 more
wiley +1 more source
Correction: The effect of protic ionic liquid in the reduction of air contaminant gases emitted from electrical discharge machining in the presence of magnetic field. [PDF]
Karamzadeh B +4 more
europepmc +1 more source
Development and Investigation of an Inexpensive Low Frequency Vibration Platform for Enhancing the Performance of Electrical Discharge Machining Process. [PDF]
Mertiya AS +6 more
europepmc +1 more source
A machine learning‐assisted framework optimizes the KCl‐CaCl2‐LiCl ternary electrolyte. The optimized 13:35:52 mol% composition enables Ca‐based liquid metal batteries to operate stably at 480 °C, with >99.5% coulombic efficiency, ultralow self‐discharge, and excellent cycling stability, advancing low‐temperature large‐scale energy storage.
Xinglin Zhou +3 more
wiley +1 more source
Electrical discharge machining by rapid tools prepared by micro stereo-lithography process with copper metallization. [PDF]
Sahu AK +5 more
europepmc +1 more source
Surface Roughness Analysis of H13 Steel during Electrical Discharge Machining Process Using Cu-TiC Sintered Electrode. [PDF]
Walia AS +7 more
europepmc +1 more source
Multiferroic order parameters – polarization, magnetization, and ferroelastic strain – are positioned as dynamic design variables for batteries. Their mechanistic roles, practical tuning through fabrication and external fields, and ferroic‐resolved characterization routes are unified into a closed‐loop framework, revealing how coupled ferroic responses
Jiaqi Su +13 more
wiley +1 more source

