Machining Performance Prediction for Zirconia Toughened Alumina Insert in Machining of High Carbon Steel Using Computational Approach
This work aims to develop a finite element model for zirconia toughened alumina cutting insert to predict the cutting performances in machining of AISI 1095 steel using an implicit Lagrangian computational method by means of commercially available Deform 3D machining software package. Different cutting forces associated with the turning operation, temperature distribution at the tool tip as well as workpiece deformation zones, induced stress and strain rate at the workpiece shearing regimes are evaluated using this FE model. Material removal rate is also calculated using this computational approach. This computational technique has been found as a suitable approach to predict the cutting performances of the modelled zirconia toughened alumina cutting insert turning against the high carbon steel.
KeywordsFinite element simulation ZTA insert AISI 1095 High carbon steel
The authors would like to express their sincere acknowledgment for supporting the work towards Nanomission project (SR/NM/NT-1062/2015), Department of Science and Technology (DST), Govt. of India.
- 1.Adesta, E.Y.T., Hazza, M.A., Riza, M., Agusman, D., Rosehan, : Tool life estimation model based on simulated flank wear during high speed hard turning. Eur. J. Sci. Res. 3(2), 265–278 (2010)Google Scholar
- 5.Parihara, R.S., Sahua, R.K., Srinivasua, G.: Finite element analysis of cutting forces generated in turning process using deform 3D software. Mater. Today: Proc. 4, 8432–8438 (2017)Google Scholar
- 7.Villumsen, M.F., Fauerholdt, T.G.: Prediction of cutting forces in metal cutting, using finite element method, a Lagrangian approach. LSDYNAAnwenderforum, Bamberg, Metallumformung III, pp. 1–16 (2008)Google Scholar
- 8.Schweitzer, P.E P.A.: Metallic Materials: Physical, Mechanical, and Corrosion Properties, CRC Press 2003Google Scholar
- 9.Tanase, I., Popovici, V., Ceau, G., Predincea, N.: Cutting edge temperature prediction using the process simulation with DEFORM 3D software package. Proc. Manuf. Syst. 7, 265–268 (2012)Google Scholar