Papers by Keyword: Side Milling

Abstract: This article deals with the machining of Inconel 718 alloy. In the research, several carbide milling tools with different carbide grades and coatings were used. The main aim is compare all cutting tools in terms of their cutting tool life during machining super alloy Inconel 718. This material is used for highly stressed components in the nuclear industry, such as combustion turbine. Due to its rapid hardening and high heat generation, it is very problematic to machining. The right choice of appropriate carbide grade is necessary to achieve high-quality cutting wedge, which is important for good adhesion of the coating. The results of this work will be used for further research and development of cutting tools for machining Inconel 718.

Abstract: During machining of hard materials, one approach to reduce tool wear is using a laser beam to preheat the material in front of the cutting zone. In this study, a new concept of laser-assisted milling with spindle and tool integrated laser beam guiding has been tested. The laser beam is located at the cutting edge and moving synchronously with the cutter. In experiment, a reduction in the resulting process cutting forces and tool wear has been observed in comparison to milling without laser. A three-dimensional finite element model in DEFORM 3D was developed to predict the cutting forces in the milling process with and without an additional laser heat source, based on a Johnson-Cook-type material constitutive model adapted for high strains and strain rates. Both in experiment and simulation, the deformation behavior of a Ti-6Al-4V workpiece has been investigated. The comparison of the resulting cutting forces showed very good agreement. Thus the new model has great potential to further optimize laser assisted machining processes.

Abstract: This paper presents an optimal cutting-parameter design of heavy cutting in side milling for SUS304 stainless steel. The orthogonal array with relational analysis is applied to optimize the side milling process with multiple performance characteristics. A grey relational grade obtained from the grey relational analysis is used as a performance index to determine the optimal cutting parameters. The selected cutting parameters are cutting speed, feed per tooth, axial depth of cut, and radial depth of cut, while the considered performance characteristics are tool life and metal removal rate. Experimental results have shown that cutting performance in the side milling process for heavy cutting can be significantly improved through this approach.