Research On The Effect Of Carbide Tool Chipbreakers On The Cutting Temperature Of Inconel 718 For High-speed Turning

High-temperature nickel-based alloy Inconel 718 has excellent resistance to oxidation,radiation and fatigue,as well as high strength and toughness,and is often used as a key material for high-temperature components in aero-engines and industrial gas turbines.However,due to its poor thermal conductivity and high cutting temperature,it is a difficult metal to machine due to the increased plastic deformation of chips,accelerated tool wear,low surface quality and high cutting forces during cutting.Based on ABAQUS and Python language to create a secondary development module,the module can choose different chipbreaker structure of the tool,quickly set the tool and cutting parameters to complete a series of pre-processing operations such as modelling,assembly and meshing.The module is used to build a turning simulation model to study the cutting temperature and chip morphology of Inconel 718 with bending,circular,straight and trapezoidal chipbreakers at different cutting speeds,from which the straight chipbreaker with the best chipbreaking capacity and cutting temperature performance is selected as the focus of the next study.A single-factor test was then designed to investigate the effect of the four parameters of the chipbreaker flute-tool front angle,counter chip angle,ribbon length and blunt circle radius-on the maximum cutting temperature and the tip temperature.A surface response method was also used to investigate the effect of a mixture of four parameters-tool front angle,chipbreaker flute width,flute depth and edge height-on the maximum cutting temperature and tool tip temperature.An orthogonal experiment was designed by the Box-Benhnken design point taking method for the three chipbreaker parameters that have the greatest influence on the cutting temperature,namely the cutting front angle,chipbreaker slot width and ribbon length,to establish a regression prediction model for each of the three parameters on the maximum cutting temperature and the tip temperature.After verifying the accuracy and reliability of the model,a multi-objective optimisation model of the overall cutting temperature with respect to the three parameters was established and optimised using a particle swarm algorithm.