Downloads provided by UsageCounts
handle: 10985/12059 , 11379/498439
Abstract The objective of this study is to simulate tool wear in drilling of nickel-based alloys, in particular Inconel 718. When machining these kind of materials, the impact of the thermal and mechanical phenomena generated by tool wear on the surface integrity is of prime concern. For this reason, it important to study the influence of tool wear on tool life, on final part quality and on cutting force and power consumption. Tool wear is caused by several phenomena (adhesion, abrasion, erosion, diffusion, corrosion, fracture etc.) depending on selected cutting parameters (cutting velocity, feed rate, etc.). In some cases these wear mechanisms can be described by analytical models which are function of physical quantities involved in process (temperature, pressure and sliding velocity along the cutting surface). Usually, commercial FEM software allows to implement these tool wear models but without tool geometry update. To overcoming this limitation, a suitable subroutine considering tool geometry update was developed and implemented in SFTC DEFORM-3D FEA software to simulate tool wear in drilling of Inconel 718. A good agreement was obtained between the predicted and measured tool wear data.
modelling, wear, drilling; Inconel 718; modelling; wear; Control and Systems Engineering; Industrial and Manufacturing Engineering, Inconel 718, Sciences de l'ingénieur: Mécanique: Génie mécanique, [SPI.MECA.GEME] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph], drilling
modelling, wear, drilling; Inconel 718; modelling; wear; Control and Systems Engineering; Industrial and Manufacturing Engineering, Inconel 718, Sciences de l'ingénieur: Mécanique: Génie mécanique, [SPI.MECA.GEME] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph], drilling
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 39 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
| views | 71 | |
| downloads | 51 |

Views provided by UsageCounts
Downloads provided by UsageCounts