Abstract
This paper investigates the finite element analysis of cold forming diamond burnishing process on aluminium alloy, where the input parameters are force, feed rate and speed, as an output parameter the changing of surface roughness is analysed. This lifetime increasing process effectively reduces roughness, improves shape correctness, and increases the hardness of the sub-surface area. Machining simulation of the turned surface before burnishing is based on the real model, corresponding to the measured values, by using DEFORM-2D software in order to validate the improvement of surface quality with numerical values too.
Highlights
During operation, the individual components and their surfaces of a machine are subjected to several forms of damage caused by stress, so lifetime-increasing surface hardening technologies have an important role in industrial practice [1,2]
This paper investigates the finite element analysis of cold forming diamond burnishing process on aluminium alloy, where the input parameters are force, feed rate and speed, as an output parameter the changing of surface roughness is analysed
The aim of our study is to model the effects of the different burnishing parameters on the surface quality
Summary
The individual components and their surfaces of a machine are subjected to several forms of damage caused by stress (mechanical, thermal, chemical, etc.), so lifetime-increasing surface hardening technologies have an important role in industrial practice [1,2]. A preferred and efficient solution is burnishing, which use sliding relative displacement, decreases surface roughness, increases the micro-hardness of the sub-surface area and corrosion resistance by rearranging the dislocations. It improves shape correctness and does not require large amounts of coolant lubrication [3,4,5,6]. In this paper 2D FEM model for surface burnishing technique is established and results show that the developed model is useful for predicting the surface roughness. The usage of this method allows to reducing partial or totally the high cost of experimental testing
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