D. KIR et al.: DETERMINATION OF THE CUTTING-TOOL PERFORMANCE OF HIGH-ALLOYED ...
239–246
DETERMINATION OF THE CUTTING-TOOL PERFORMANCE OF
HIGH-ALLOYED WHITE CAST IRON (Ni-Hard 4) USING THE
TAGUCHI METHOD
DOLO^ANJE ZMOGLJIVOSTI REZALNIH ORODIJ NA MO^NO
LEGIRANEM BELEM LITEM @ELEZU (Ni-Hard 4) Z UPORABO
TAGUCHI METODE
Durmuº Kir1, Hasan Öktem1, Mustafa Çöl2, Funda Gül Koç2, Fehmi Erzincanli3
1University of Kocaeli, Hereke Vocational School, Kocaeli, Turkey
2University of Kocaeli, Faculty of Engineering, Metallurgy and Material Engineering, Kocaeli, Turkey
3University of Düzce, Faculty of Engineering, Mechanical Engineering, Düzce, Turkey
hoktem@kocaeli.edu.tr
Prejem rokopisa – received: 2014-10-22; sprejem za objavo – accepted for publication: 2015-04-09
doi:10.17222/mit.2014.270
High-alloyed white-cast-iron materials are commonly used in the manufacturing industry due to their high wear resistance. The
aim of this research is to determine the cutting tool and the optimum cutting conditions required for the metal cutting of these
materials. In this study, it is proposed to determine the wear and the tool life utilizing the Taguchi optimization method when
hard turning the Ni-Hard 4 material, the alloyed cast iron, with cutting tools produced with powder metallurgy (PM) and to
improve the performance of the cutting tools. A series of 18 experiments were conducted on a CNC turning machine, using the
cutting process parameters such as the cutting speed, the feed and the depth of cut, based on the Taguchi L9 orthogonal design of
experiments. Uncoated cutting tools were utilized to perform these experiments. PM cutting tools with WC grain sizes of 0.8 μm
and 1.25 μm were selected for the hard-turning experiments. The flank wear of the cutting tools was examined with SEM. Then,
the life of each cutting tool was identified based on the cutting length. The performance of the cutting tools in terms of the wear
and the tool life was determined with the Taguchi method based on the obtained data. The results of this study contributed to the
hard turning of the Ni-Hard 4 material that is mostly employed in the as-cast condition in the manufacturing industry due to its
high hardness. The optimum cutting conditions were determined by means of the Taguchi method.
Keywords: hard turning, cutting tools, wear, Taguchi method
Mo~no legirano belo lito `elezo se uporablja v predelovalni industriji zaradi velike odpornosti proti obrabi. Namen raziskave je
poiskati rezalno orodje in optimalne pogoje rezanja, potrebne za rezanje teh materialov. V {tudiji je predlagano, da se dolo~i
obraba in zdr`ljivost orodij, z uporabo Taguchi metode, optimizacija pri stru`enju materiala Ni-Hard 4 legiranega litega `eleza z
rezalnimi orodji, izdelanimi po postopku metalurgije prahov (PM), da bi izbolj{ali zmogljivost rezalnega orodja. Serija 18-ih
preizkusov, z uporabo procesnih parametrov, kot so: hitrost rezanja, podajanje in globina reza, na podlagi Taguchi L9
ortogonalne postavitve preizkusa, so bile izvr{ene na CNC stru`nici. Za te eksperimente so bila uporabljena rezalna orodja brez
prevleke. Za preizkus te`kega stru`enja so bila izbrana PM rezalna orodja, z velikostjo zrn WC med 0.8 μm in 1.25 μm. Obraba
boka rezalnega orodja je bila preiskovana s SEM. Zdr`ljivost vsakega orodja je bila dolo~ena na podlagi dol`ine stru`enja.
Rezultati {tudije se nagibajo k te`kem stru`enju materiala Ni-Hard 4, ki se ga ve~inoma uporablja v predelovalni industriji v
litem stanju, zaradi velike trdote. Optimalni pogoji rezanja so bili dolo~eni s pomo~jo Taguchi metode.
Klju~ne besede: te`ko stru`enje, rezalna orodja, obraba, Taguchi metoda
1 INTRODUCTION
In today’s industry, customers expect low costs, short
machining times and competitiveness, so the develop-
ments in the material science have to involve new and
flexible manufacturing technologies. Especially, some
mechanical parts used in cement, concrete, machine-
manufacturing and ceramic industries are very difficult
to machine because of their high hardness. Based on
modern technologies1,2 such as hard turning, milling and
drilling, it is possible to cut high-alloyed cast iron
materials. High-alloyed cylindrical cast-iron materials
can be machined with different methods. Hard turning is
preferred for these kinds of materials due a faster,
low-cost and high-quality process. The hard-turning
process has advantages like short set-up times, short
process steps, a better surface quality, a lower wear rate
and a longer tool life. In addition, it is not necessary to
use the cutting fluid for alternative metal-cutting me-
thods.3 Several studies4–6 have been performed to inve-
stigate and develop the microstructure and mechanical
properties of Ni-Hard 4, so far known as the high-alloyed
white-cast iron. Its main alloying elements are 7–11 %
Cr, 5–7 % Ni and 2.5–3.2 % C. Researchers have studied
the wear resistance, heat treatments and the influence of
the alloying elements on cast iron.4–6
The tool wear and the tool life are two important
problems encountered in the hard-turning processes.
There are many investigations, focused on diminishing
these problems. Some of them7–9 try to determine the
wear rate and the tool life of the AISI 52100, AISI D2
and AISI H11 steel materials during hard turning. Most
frequently, experiments were carried out on cubic boron
nitride (CBN) tools under various cutting conditions.
Materiali in tehnologije / Materials and technology 50 (2016) 2, 239–246 239
UDK 621.941:621.9.02.179.5:669:131.2 ISSN 1580-2949
Original scientific article/Izvirni znanstveni ~lanek MTAEC9, 50(2)239(2016)
Some other researchers10–12 measured the wear on CBN
tools and polycrystalline cubic boron nitride (PCBN)
tools after the hard turning of the AISI 52100 steel ma-
terials. They examined the performances of the cutting
tools with respect to the tool life using mathematical mo-
dels depending on the Taylor rule. In two group studies,
the tool wear was investigated with a light microscope
and SEM. Lin et al.13 and Khrais and Lin14 examined the
hard turning of the AISI 1040 material by employing
uncoated and coated WC-Co tools under wet and dry
cutting conditions. They classified the wear mechanisms
and types of the WC-Co tools coated with PVD AlTiN
and AlCrN with a light microscope. They also deter-
mined the effects of the coatings on the wear and tool
life at five different cutting speeds and VBmax = 0.6 mm.
Özel et al.15 and Arsecularatne et al.16 performed
experiments to identify the wear, tool life and material-
removal rate when hard turning the AISI D2 steel mate-
rial with PCBN and ceramic tools under dry conditions.
Mathematical models were developed based on the
Taylor rule (the formula) to obtain the cutting conditions
providing the longest tool life and the largest material-
removal rate. Costes et al.17 investigated the machining
of the Inconel 718 material, utilizing CBN cutting tools
in wet conditions. According to this study, the adhesion
and diffusion are the most dominant mechanisms for the
wear in different cutting conditions.
Unlike the studies mentioned above, Thamizhmanii
and Hasan18 and Yiðit et al.19 reported about experimen-
tal results predicting the tool wear and life during the
hard turning of gray and spheroidal graphite cast iron
with various cutting tools based on the Taguchi optimi-
zation method. Several researchers20–23 used the Taguchi
method for different materials and cutting tools in the
hard-turning process to find the optimum cutting
conditions versus the minimum tool wear and to prolong
the tool life. Other researchers24,25 were focused on the
surface roughness, cutting forces and tool wear during
the hard turning of high-alloy white cast iron in different
cutting conditions, employing CBN inserts. Yücel and
Günay26–28 conducted investigations on the machinability
of the high-alloy white cast-iron material, Ni-Hard 4.
They studied the tool wear, tool life, surface roughness
and cutting forces during the hard turning with ceramic
and CBN tools based on the Taguchi optimization
method.
In this study, a total of 18 hard-turning experiments
based on the L9 orthogonal array design were performed
on the Ni-Hard 4 material, which has a high wear resis-
tance and which is not supposed to be machinable. The
as-cast material was turned on a CNC machine without
the cutting fluid. Uncoated cutting tools (WC-Co) with
two different grain sizes (0.8 μm and 1.25 μm) were
utilized in the hard-turning experiments. After each
experiment, each cutting tool was investigated for the
wear and specific cutting lengths with a light microscope
and SEM. The optimum cutting conditions that provide
the lowest wear rate and the longest tool life were
determined with the Taguchi optimization method. Thus,
the aim was to develop the cutting performance of the
tools for the hard turning of a cast-iron material.
2 TAGUCHI METHOD
The Taguchi method, developed by Dr. Genichi Ta-
guchi, is a technique to determine the optimum combi-
nations of the process conditions widely used in engi-
neering and manufacturing industry. This method is also
a powerful tool for improving and designing high-quality
systems. Therefore, industries are able to reduce the time
of the product development without increasing the
costs.30
The Taguchi method is divided into three categories:
the system design, the parameter design and the tole-
rance design. Among these, the parameter design is the
most important and used category for improving the
performance characteristics without increasing the costs.
The Taguchi method solves the problems by integrating
the orthogonal array design, the signal to noise (S/N)
ratio and the analysis of variance (ANOVA). The ortho-
gonal array is used to create a special design determining
the whole parameter space with a small number of
experiments. The S/N ratio is employed to analyze the
experimental results obtained from the orthogonal array
design. The S/N ratio has three performance characteri-
stics, in Equation (1) to (3) to obtain the optimum
process conditions: the smaller-the-better (S/N)SB, the
larger-the-better (S/N)LB and the nominal-the-best
(S/N)NB. ANOVA is applied to identify which process
conditions significantly affect the performance characte-
ristics. A confirmation test was conducted to verify the
accuracy and efficiency of the desired values achieved
for the optimum process conditions:31–33
S/NSB =  = −
⎡
⎣⎢
⎤
⎦⎥=
∑10 1 2
1
lg
n
y i
i
n
(1)
S/NLB =  = −
⎡
⎣⎢
⎤
⎦⎥=
∑10 1 12
1
lg
n y ii
n
(2)
S/NNB =  =
⎡
⎣⎢
⎤
⎦⎥
10 2lg
y
s y
(3)
where yi is the observed value from the experiments, y is
the average of the observed values from the experi-
ments, n is the number of the experiments and s2y is the
variance of y. The steps required for applying the
Taguchi method are illustrated in Figure 1.
3 EXPERIMENTAL PROCEDURE
3.1 Materials
Cast irons are called low-alloy cast-iron materials
(36-55 HRC) if the amount of carbon is below 4 % or
high-alloy cast-iron materials (47-65 HRC) if this
D. KIR et al.: DETERMINATION OF THE CUTTING-TOOL PERFORMANCE OF HIGH-ALLOYED ...
240 Materiali in tehnologije / Materials and technology 50 (2016) 2, 239–246
amount is above 4 %.4 In this study, the Ni-Hard 4
material, a high-alloy cast iron, is used to perform the
turning experiments. It is a commercial name of high-
alloy white cast iron, which has a high wear resistance
(58-65 HRC). Its microstructure mainly includes M7C3
type (M = Fe, Cr) carbides and a martensitic matrix (Fig-
ure 2). It can be used in the as-cast form or after having
been hardened and tempered with heat treatments. In this
study, the material was used in the as-cast condition.
This material is used in the as-cast condition in the
cement and machine industries as well as in the mining
sector.4 The material was melted and alloyed in a
high-frequency induction furnace with a neutral pot and
poured in a sand mold with a cylindrical form and
solidification dimensions of Ø 40 mm × 120 mm. The
chemical composition of the cast material is given in
Table 1.
Table 1: Chemical composition of Ni-Hard 4 alloy (in mass fractions,
w/%)
Tabela 1: Kemijska sestava zlitine Ni-Hard 4 (v masnih dele`ih, w/%)
Elements ASTM A 532 Ni-Hard 4 (sample)
Carbon (C) 2.6–3.2 2.89
Silicon (Si) 1.8–2 1.43
Chrome (Cr) 7–11 9.22
Nickel (Ni) 4.5–6.5 6.15
Molybdenum (Mo) 0–0.4 1.03
Manganese (Mn) 0.4–0.6 0.91
Phosphor (P) max. 0.06 0.25
Sulfur (S) max. 0.10 0.16
Iron (Fe) Balance Balance
The cross-section of the machined material was pre-
pared for microstructural examinations. It was etched
with the Beraha II solution for about 5 s and then exa-
mined with a Zeiss light microscope and a Jeol JSM
6060 SEM as illustrated in Figures 2a and 2b. The com-
ponents of the microstructure were determined with a
RigakuSA HS3 XRD diffractometer. The XRD analysis
result is given in Figure 2c.
The microstructure of the Ni-Hard 4 material consists
of a martensitic matrix and M7C3 primary-eutectic car-
bides (Table 2). The primary-carbide rate in the micro-
structure was estimated to be about 20 %. The hardness
of the material was measured as 55 HRC with a Zwick/
ZHR instrument.
Table 2: EDX microanalysis results for points 1 and 2, (in mass frac-
tions, w/%)
Tabela 2: Rezultati EDX-mikroanalize za to~ki 1 in 2 (v masnih dele-
`ih, w/%)
Analysis C Si Cr Fe Ni Mo W
1 – (M7C3) 4.3 – 28.7 66.9 – – –
2 – (Martensite) 1.6 1.9 4.0 82.7 5.6 1.9 2.1
3.2 Cutting conditions
A series of 18 hard-turning experiments based on the
Taguchi L9 orthogonal array design were carried out on
the Ni-Hard 4 material using nine different tools without
the cutting fluid. Initially, cutting conditions were selec-
ted on the basis of the user experience and tool cata-
logues. In this study, the speed (n), the chip thickness
(hex) and the feed rate (Vf) were calculated with Equation
(4) to (6) utilizing the cutting conditions shown in Table
3:
D. KIR et al.: DETERMINATION OF THE CUTTING-TOOL PERFORMANCE OF HIGH-ALLOYED ...
Materiali in tehnologije / Materials and technology 50 (2016) 2, 239–246 241
Figure 2: Light and SEM micrographs and XRD analysis of Ni-Hard
4 material
Slika 2: Svetlobni in SEM-posnetek ter XRD analiza materiala
Ni-Hard 4
Figure 1: Application of the Taguchi method
Slika 1: Uporaba Taguchi metode
n
V
D
=
1000 c
cπ
(4)
h f x Kex n r= sin (5)
V f xnf n= (6)
where;
n = spindle speed, (rev/min)
Dc = workpiece diameter, (mm)
Vc = cutting speed, (m/min)
fn = feed rate, (mm/rev)
Kr = entering angle, (45°)
hex = maximum chip thickness, (mm)
ap = depth of cut, (mm)
Nine experiments were performed for each cutting
tool (Table 3) and the wear of the cutting tools was
examined with a light microscope and SEM. In addition,
the performances of the cutting tools were examined in
terms of the powder-grain size. In these experiments, a
Johnford CNC turning machine, 3500 min–1, 12.5 kW,
with a feed rate of 2500 mm/min was employed. Figure
3 shows four different steps applied during the hard-turn-
ing experiments.
Table 3: Hard-turning process parameters
Tabela 3: Parametri procesa trdega stru`enja
Levels
Cutting conditions
Vc (m/min) fn (mm/rev) ap (mm)
1 100 0.05 0.1
2 150 0.075 0.2
3 200 0.1 0.3
Table 4: Cutting tools for turning experiments
Tabela 4: Rezalna orodja za preizkus stru`enja
Cutting tools
(Uncoated)
Tool code
BS 710 BS 610
Grain size (WC) (0.8 μm) (1.25 μm)
The cutting tools given in Table 4 are hard-metal
tools with two different WC grain sizes, sintered with
cobalt (Co), (94 % WC and 6 % Co). These tools were
broken to observe the grain-size distributions and bond-
ing characteristic between WC and Co. Broken surfaces
were examined at a single magnification as shown in
Figures 4a and 4b. Figure 4 shows that the cutting tool
with fine grains (0.8 μm) is more homogenous than the
one with coarse grains (1.25 μm). In addition, the poro-
sity rate between the WC grains in Figure 4a is higher
than the one in Figure 4b. Cutting-tool manufacturers
usually use a certain amount (5 % – 10 %) of course
grains added to fine grains to improve the cutting-tool
performance.13,14
3.3 Wear measurement of the cutting tools
The wear was investigated with a light microscope
and SEM after each experiment planned with the L9
orthogonal array design by stopping the CNC turning
machine at (250, 500, 750 and 1000) mm. The numerical
value of the wear rate was calculated using the CLE-
MEX program equipped with a light microscope. The
wear rate was not allowed to exceed VB = 0.6 mm in
accordance with the ISO standards. Moreover, the wear
rate for the largest cutting length (1000 mm) and the
D. KIR et al.: DETERMINATION OF THE CUTTING-TOOL PERFORMANCE OF HIGH-ALLOYED ...
242 Materiali in tehnologije / Materials and technology 50 (2016) 2, 239–246
Figure 4: SEM comparison of grain sizes for cutting tools: a) BS 610,
b) BS 710
Slika 4: SEM-primerjava velikosti zrn rezalnih orodij: a) BS 610, b)
BS 710
Figure 3: Hard-turning experiments
Slika 3: Preizkusi trdega stru`enja
shortest tool life were used to determine the optimum
cutting conditions with the Taguchi optimization method.
The tool wear at the edges of the BS 610 and BS 710
cutting tools for a depth of cut of (0.1–0.2–0.3) mm, at a
cutting speed of 100 m/min and a cutting length of
250 mm is shown in Figures 5 and 6, respectively. The
abrasive wear increases as the depth of cut increases.
Also, it can be observed that some material is adhered to
the cutting edge (the adhesive wear) throughout the
hard-turning experiments. In addition, some partial frac-
tures and micro-cracks occurred due to the forces
affecting the cutting edge. These failures indicate that the
cutting tool was forced considerably during the hard-
turning process.
4 ANALYSIS OF EXPERIMENTAL RESULTS
AND DISCUSSION
4.1 Wear and tool life
Figure 7 displays the flank-wear values obtained
with nine experiments conducted with the BS 710 cutt-
ing tool. In Figure 7, the smallest flank wear is obtained
for experiment 1 (Vc = 100 m/min, fn = 0.05 mm/rev, ap =
0.1 mm) whereas the largest flank wear is observed for
experiment 3 (Vc = 200 m/min, fn = 0.05 mm/rev, ap = 0.3
mm).
Figure 8 illustrates the flank-wear values obtained
with nine experiments conducted with the BS 610 cutt-
ing tool. In Figure 8, the smallest flank wear is obtained
for experiment 8 (Vc = 150 m/min, fn = 0.1 mm/rev, ap =
0.1 mm) whereas the largest flank wear is observed for
experiment 3 (Vc = 200 m/min, fn = 0.05 mm/rev, ap =
0.3). It can be seen that the flank wear of each type of
the cutting tools generally increases with the increasing
cutting length. On the other hand, for experiment 1, the
D. KIR et al.: DETERMINATION OF THE CUTTING-TOOL PERFORMANCE OF HIGH-ALLOYED ...
Materiali in tehnologije / Materials and technology 50 (2016) 2, 239–246 243
Figure 7: Change in the wear rate versus the cutting length (BS 710)
Slika 7: Sprememba hitrosti obrabe v odvisnosti od dol`ine rezanja
(BS 710)
Figure 6: SEM micrographs of wear surfaces (BS 610)
Slika 6: SEM-posnetki obrabe na povr{ini (BS 610)
Figure 5: SEM micrographs of wear surfaces (BS 710)
Slika 5: SEM-posnetki obrabe na povr{ini (BS 710)
Figure 8: Change in the wear rate versus the cutting length (BS 610)
Slika 8: Sprememba hitrosti obrabe v odvisnosti od dol`ine rezanja
(BS 610)
flank wear of the BS 610 cutting tool is greater than that
of the BS 710 cutting tool.
4.2 Taguchi analysis
The Taguchi method integrates orthogonal arrays, the
S/N ratio and ANOVA to analyze and evaluate numerical
results.29–32 The hard-turning experiments were per-
formed according to L9 (33) orthogonal arrays. L9 (33)
has 9 rows corresponding to the number of hard-turning
experiments (8 degrees of freedom) with 8 columns at
three levels. The hard-turning experiments based on the
Taguchi orthogonal array design were conducted by
means of three cutting conditions, namely, the cutting
speed (Vc), the feed (fn) and the depth of cut (ap). The
wear values obtained with the experiments and their S/N
ratios calculated with Equation (1) for each of the two
cutting tools (BS 710 and BS 610) are given in Table 5.
Table 5: S/N ratios for the wear values
Tabela 5: Razmerje S/N pri vrednosti obrabe
Experiment
number
Wear results (μm) S/N ratios (dB)
(BS 710) (BS 610) (BS 710) (BS 610)
1 188.2 276.6 -45.49 -48.84
2 197.2 394.1 -45.90 -51.91
3 501.3 459.7 -54.0 -53.25
4 163.7 311.4 -44.28 -49.87
5 361.6 449.4 -51.16 -53.05
6 284.0 255.5 -49.07 -48.15
7 332.5 402.1 -50.44 -52.09
8 211.6 174.5 -46.51 -44.84
9 319.4 355.9 -50.09 -51.03
In order to determine the optimum turning conditions
providing the smallest wear value, it is required to cal-
culate the average-response values for the cutting condi-
tions at different levels. For this purpose, an average-res-
ponse table involving the wear values and their S/N ratios
is created in Table 6. The values in the average-response
table are calculated by averaging the S/N ratios for each
cutting condition at different levels for experiments 1 to
9.
Table 6: Average-response table for the wear values
Tabela 6: Tabela povpre~nega odgovora pri vrednosti obrabe
Cutting
condi-
tions
Parameter levels
BS 710 BS 610
I II III I II III
Vc -46.74 -47.86 -51.05 -50.26 -49.93 -50.81
fn -48.46 -48.17 -49.01 -51.33 -50,36 -49.32
ap -47.02 -46.76 -51.87 -47.27 -50.94 -52.80
In this study, the ANOVA was performed using Mini-
tab to identify which three cutting conditions significant-
ly affect the wear.33 Table 7 shows the ANOVA results
for the wear. In Table 7, the statistical significance of
three cutting conditions for the wear was evaluated by
the F-test. The F-value (tabulated) at the 95 % confi-
dence interval controlling the three cutting conditions is
F0.05, 2, 8 = 4.46. The percentage contributions of the three
cutting conditions to the wear for the two cutting tools
are given in Table 6. As can be seen from this table, the
most significant cutting condition is the depth of cut (ap).
Table 7: ANOVA analysis results
Tabela 7: ANOVA analiza rezultatov
Cutting conditions
Percentage contribution (%)
BS 710 BS 610
Vc 35.238 1.56
fn 1.13 9.1
ap 62.8 84.7
The optimum cutting conditions providing the
smallest wear value were determined by selecting the
largest S/N ratios for each cutting condition at three
levels as given in Table 6. Also, the final confirmation
test for the two cutting tools was carried out in the
optimum cutting conditions providing the smallest wear
value. Each confirmation test was repeated at least three
times. The improvement rates were calculated by com-
paring the results of the confirmation test and the initial
values in Table 8. Thus, the optimum cutting conditions
providing the best cutting-tool performance were deter-
mined with the Taguchi analyses without carrying out a
high number of hard-turning experiments.
Table 8: Confirmation tests
Tabela 8: Preizkusi za potrditev
Cutting
tools
Optimum
cutting
conditions
Initial
values
(dB)
Calculated
values
(dB)
Confirma
tion tests
(dB)
Impro-
vements
(%)
BS 710 Vc(I), fn(II),ap(II)
-45.686 -44.565 -44.280 3.2
BS 610 Vc(II),fn(III), ap(I)
-50.554 -45.853 -46.510 8.7
5 CONCLUSIONS
In this study, hard-turning experiments were con-
ducted on the Ni-Hard 4 material utilizing two different
cutting tools (BS 610 and BS 710) under dry conditions.
The following results were obtained:
• The optimum cutting entering angle is selected as Kr
= 45° by trying a few experiments.
• During the hard-turning experiments performed with
the BS 610 and BS 710 cutting tools, the wear rate on
the cutting edge increases as the cutting length, the
cutting depth and the cutting speed increase.
• At a cutting speed of 200 m/min, for experiments 3, 6
and 9, the wear rate of the BS 710 cutting tool is
larger than that of BS 610. This situation shows that,
in the case of excessive force, WC coarse grains
display a better performance than fine grains.
• At a low cutting speed (100 m/min), the BS 710 cutt-
ing tool has a better performance than BS 610. For a
D. KIR et al.: DETERMINATION OF THE CUTTING-TOOL PERFORMANCE OF HIGH-ALLOYED ...
244 Materiali in tehnologije / Materials and technology 50 (2016) 2, 239–246
longer tool life, hard turning should be performed at a
low cutting speed and with fine-grain cutting tools.
• The optimum cutting conditions providing the lowest
wear and the longest tool life were determined by
means of the Taguchi analyses. Improvements of 3.2
% and 8.7 % were obtained for both cutting tools,
respectively.
• According to the ANOVA analyses, the depth of cut
(ap) is the most important turning parameter for both
cutting tools.
• Finally, the machinability of the material, which is
very difficult to cut and whose cutting conditions are
not widely known, were examined experimentally
and numerically.
• In future, the cutting forces, the tool wear and the
surface texture will be investigated by measuring the
cutting forces and surface roughness in turning or
milling processes.
Acknowledgements
The authors would like to thank Uður Yücel at the
University of Kocaeli and ARMEKSAN, Machine Part
Industry Corporation. This study was supported by the
Scientific Research Project Unit of the Kocaeli
University (KOU-BAP-2012/72).
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