TY - JOUR
T1 - Validation and optimization of cutting parameters for Ti-6Al-4V turning operation using DEFORM 3D simulations and Taguchi method
AU - Obiko, Japheth Oirere
AU - Mwema, Fredrick Madaraka
AU - Bodunrin, Michael Oluwatosin
N1 - Funding information: This work was supported through the AESA-RISE Fellowship Programme [ARPDF 18-03], AESA-RISE is an independent funding scheme of the African Academy of Sciences (AAS) implemented with the support of Carnegie Corporation of New York. At The AAS, AESA-RISE is implemented through AESA, the Academy’s agenda and programmatic platform, created in collaboration with the African Union Development Agency (AUDA-NEPAD). The views expressed in this publication are those of the author(s) and not necessarily those of the AAS, AUDA-NEPAD or Carnegie Corporation.
PY - 2021/2/17
Y1 - 2021/2/17
N2 - In this study, we show that optimising cutting forces as a machining response gave the most favourable conditions for turning of Ti-6Al-4V alloy. Using a combination of computational methods involving DEFORM simulations, Taguchi Design of Experiment (DOE) and analysis of variance (ANOVA), it was possible to minimise typical machining response such as the cutting force, cutting power and chip-tool interface temperature. The turning parameters that were varied in this study include cutting speed, depth of cut and feed rate. The optimum turning parameter combinations that would minimise the machining responses were established by using the "smaller the better"criterion and selecting the highest value of Signal to Noise Ratio. Confirmatory simulation revealed that using cutting speed of 120 m/min, 0.25 mm depth of cut and 0.1 mm/rev feed rate, the lowest cutting force of 88.21 N and chip-tool interface temperature of 387.24 °C can be obtained. Regression analysis indicated that the highest correlation coefficient of 0.97 was obtained between cutting forces and the turning parameters. The relationship between cutting forces and the turning parameters was linear since first-order regression model was sufficient.
AB - In this study, we show that optimising cutting forces as a machining response gave the most favourable conditions for turning of Ti-6Al-4V alloy. Using a combination of computational methods involving DEFORM simulations, Taguchi Design of Experiment (DOE) and analysis of variance (ANOVA), it was possible to minimise typical machining response such as the cutting force, cutting power and chip-tool interface temperature. The turning parameters that were varied in this study include cutting speed, depth of cut and feed rate. The optimum turning parameter combinations that would minimise the machining responses were established by using the "smaller the better"criterion and selecting the highest value of Signal to Noise Ratio. Confirmatory simulation revealed that using cutting speed of 120 m/min, 0.25 mm depth of cut and 0.1 mm/rev feed rate, the lowest cutting force of 88.21 N and chip-tool interface temperature of 387.24 °C can be obtained. Regression analysis indicated that the highest correlation coefficient of 0.97 was obtained between cutting forces and the turning parameters. The relationship between cutting forces and the turning parameters was linear since first-order regression model was sufficient.
KW - ANOVA
KW - Cutting forces
KW - Finite element analysis
KW - Regression
KW - Ti-6Al-4V machining
UR - http://www.scopus.com/inward/record.url?scp=85100919580&partnerID=8YFLogxK
U2 - 10.1051/mfreview/2021001
DO - 10.1051/mfreview/2021001
M3 - Article
AN - SCOPUS:85100919580
SN - 2265-4224
VL - 8
SP - 1
EP - 13
JO - Manufacturing Review
JF - Manufacturing Review
M1 - 8
ER -