Abstrakt

Behaviour Prediction of Die Material in Hot Forging using FEM Simulation

Gaurav Agarwal

Behaviour prediction of most suitable material used in piston cylinder arrangement has been represented through ANSYS, finite element simulation. In order to achieve recent emission norms, target oil consumption need to be controlled by optimizing piston head design. Four different materials steel AISI H13, Aluminium (6061-T6), High leaded tin bronze (C93700) and Argentann are selected as parent material. These materials are then tested at different pressures by properly selecting the characteristics required in forging simulation. Effect of increase in pressure, stresses developed and temperature gradient is calculated for all the four materials. It is found that the thermal temperature gradient is best in the analysis for aluminium during forging, even the maximum temperature is less and temperature distribution is better than that of other materials.

Haftungsausschluss: Dieser Abstract wurde mit Hilfe von Künstlicher Intelligenz übersetzt und wurde noch nicht überprüft oder verifiziert

Indiziert in

Chemical Abstracts Service (CAS)
Google Scholar
Open J Gate
Academic Keys
ResearchBible
The Global Impact Factor (GIF)
CiteFactor
Kosmos IF
Elektronische Zeitschriftenbibliothek
RefSeek
Hamdard-Universität
Weltkatalog wissenschaftlicher Zeitschriften
IndianScience.in
Gelehrter
Publons
International Innovative Journal Impact Factor (IIJIF)
Internationales Institut für organisierte Forschung (I2OR)
Kosmos

Mehr sehen