Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Bhavya Lingampalli"'
Publikováno v:
Production and Manufacturing Research: An Open Access Journal, Vol 12, Iss 1 (2024)
In the present work, the surface of the ZK60 Mg alloy was alloyed with tin (Sn), and the FSP process parameters have been optimized for the better mechanical properties by employing response surface methodology (RSM). Furthermore, RSM was combined wi
Externí odkaz:
https://doaj.org/article/e689a483b565444babfb6c40e26e4b5b
Autor:
Aravinth Sivakumar, Kuppan Chetty Ramanathan, Meenakshi Prabhakar, Joshuva Arockia Dhanraj, Balachandar Krishnamurthy, Bhavya Lingampalli
Publikováno v:
Materials Today: Proceedings. 46:1127-1133
Solid-state welding that uses a non-consumable method is Friction Stir Welding (FSW). Because of the friction produced between the workpiece and the tool, the metal becomes plasticized and, with a particular feed rate and spinning speed, the tool is
Publikováno v:
Materials Today: Proceedings. 46:1464-1469
In the present work, the microstructure and corrosion behavior of friction stir welded (FSW) butt joints of Mg-Zn-Mn alloy (ZM21) and their reliance on process parameters such as tool rotational speed and feed were investigated. Friction stir welding
A Contemporary Research on Perceptual Expert System for Medical Diagnosis through Neural Dust Sensor
Publikováno v:
Procedia Computer Science. 165:97-103
In the past few years many researches have been dedicated towards Neural dust sensor such as Deep Brain Simulation (DBS), Brain Machine interface (BMI), Ultrasonic backscattering system and so on. Mainly the Brain-Machine Interface is considered as t