Surface roughness study of UNS A97050-T7 bars obtained by dry turning.
De Agustina, B. ; Marin, M. ; Rubio, E. 等
1. Introduction
The aluminium alloys are considered strategic materials in the
aeronautical, motor and aerospace sectors due to their excellent weight
to resistance ratio. Specifically, they are employed in the production
of different elements that compose aircraft and aerospace vehicles. For
such application an improved surface quality for the mechanized parts is
required.
In spite of the important role these materials have from a
competitive point of view, they can commonly show problems of
machinability associated with the heat generated during the machining
process, mainly due to the strong tendency to adhere to the tool these
materials have. For this reason, although it is possible to evacuate the
heat by means of the chip, the tool and the workpiece, cutting fluids
are still widely used (Agustina et al., 2008). This fact seriously
degrades the environment quality and increases the cost of machining. As
a result, dry machining has been extensively studied in recent years
(Nouari et al., 2003).
Such a situation makes it necessary to look for new tool designs
or, a cheaper alternative is to look for combinations of cutting
parameters and types of tools that optimize the machining process, allow
to obtain workpieces with a good dimensional precision and a high
quality surface finish, keep the cost as low as possible and, of course,
ensure secure conditions for workers and equipment (Rubio et al., 2008)
In this study in order to analyse the evolution of the surface
quality of an aluminium UNS A97050--T7 bar with respect to the cutting
parameters employed (cutting speed and feed rate) a series of dry
turning tests (no longer than 10 seconds) were carried out using tools
with coating of TiN.
2. Methodology
This investigation is framed within a series of studies in which
different materials, types of tools and cutting conditions are involved.
Then, in order to systematize all the steps to follow until obtaining
the proposed objectives, a work methodology has been developed. The main
steps of the methodology are (Agustina et al., 2007):
Previous activities to the machining operations. These activities
consist on the identification of the used resources and the preparation
of the protocols both to calculate cutting parameters values and to
register data and observations of the machining process.
Turning tests. In each test a workpiece is mechanized during less
than 10 seconds (short tests) under certain conditions of feed, cutting
speed and depth of cut.
Collection of the chips. Chip or chips obtained in each test are
collected, identified and saved so they are perfectly identified and
accessible for any later confirmation to the realization of the tests.
Designation of the chips. The different types of chips obtained
during the cutting tests have been designated according to their
morphology, based on the ISO 3685 standards (table 1).
Classification of the chips. Once chips have been called according
their basic form and type they have been cassified as favorable or
unfavorable form the point of view of the security of the process, the
tool integrity and surface finish.That is, a chip will be considered as
favourable with regard to: the security of the process, whether it does
not suppose a dangerous for its continuity; the tool integrity, whether
if does not produce or can produce the failure/wear of the tool; the
surface finish, whether it does not casuse an important deterioration of
the workpiece surface.
Monitoring of the process. In order to have graphic documents that
can be analyzed after the process, all the turning tests described
previously, have been recorded by video and both the chips obtained and
the inserts used in each one of them photographed with a camera of high
resolution.
Previous activities to the roughness measurement. In order to
systematize tested pieces roughness measurements, first of all, the
measurement process has to be defined. This is, basically, to measure
the roughness along four lines separated n/2 radians in each one of the
tested pieces. So, to carry out the measurements it is necessary to
dispose properly a series of auxiliary elements, and measure instruments
and to verify that all they are in perfect state.
Roughness measurement. According to the measure process defined
previously, roughness measurement has to be made along the machined
length. In this measure process, a data (xh z) of the surface geometry
of the piece are obtained. These data have to be recorded in the
suitable format so that later they can be used by the available
software.
Data processing and analysis of results. A first approach to the
study of the surface quality of the mechanized pieces has been made in
this work. The arithmetical average roughness, Ra, has been selected as
a parameter to analyse. According to ISO 4288 standards (ISO 4288,
1998), this parameter is defined like the arithmetical average of the
absolute values of the deviations of the profile of roughness R and is
expressed mathematically by means of the equation (1):
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII.] (1)
The data processing consists on calculating and plotting the
average value of Ra in the different sections verified in the four lines
mentioned before, for those sections, so much the measured Ra value as
its average value. The data analysis is made qualitatively, in terms of
the evolution shown in the graphs, and quantitatively, by comparison of
the obtained values for the different used parameters.
Analysis of tools. From the obtained results, a tools preselection
has been made. Then, selected tools should be analysed both macroscopic
and microscopic techniques. The first ones, using the taken macrographs
and a profilemeter that allows measuring the quantity of the adhered
material and the second ones, by means of techniques of Scanning
Electron Microscopy (SEM) and Energy Dispersive Spectrometer (EDS) in
order to verify the alterations of the geometry of the tools.
3. Experimental layout and materials
For this study, the workpiece used for the turning test was a
cylindrical bar with a diameter of 54 mm and length of 90 mm of UNS
A97050--T7 aluminium alloy. Its composition in percentage of mass has
been included in Table 2:
Tab. 2. Composition (% mass) of UNS A97050 alloy
Cu Mg Zn Cr Fe
1.60 2.37 16.56 0.03 0.09
Mn Ni Si Ti Zr Al
0.05 0.01 0.06 0.018 0.10 Rest
The cylindrical bar was horizontally dry turned on an EmcoTurn 120
CNC lathe equipped with an EMCO Turn 242 numerical control. The cutting
conditions applied were cutting speeds from 40 m/min (0.66m/s) up to 170
m/min (2.83 m/s) and feeds from 0.05 mm/rev up to 0.30 mm/rev. Cutting
depth was maintained at 1 mm in all the tests. TiN coated tools
(manufacturer reference SECO DCMT 11T308F2--TP1000) were employed for
the tests.
To observe the machining tests carried out, photographs and videos
of the tools and the resulting chips were taken systematically during
the tests using a Sony Cybershot DSC--P100 digital camera of high
resolution.
To define the surface quality of the workpiece it was selected the
parameter Ra (the arithmetical average roughness). The cut--off length
was taken as 0.8 mm and the sampling length as 4 mm. Additionally, the
SurfTest SJ--401 software allows carrying out roughness evaluation by
means of protocols where it is possible to select, the roughness
profile, R, and different parameters such as Ra, Rz and Rq.
For quantifying the adhered material to the tools a profilemeter
TOPCON VP300D has been used and for the SEM/EDS analysis, a Scanning
Electronic Microscope, called Quanta 200, which has a system of Energy
Dispersive Spectrometer has been used as well.
[FIGURE 1 OMITTED]
4. Results
Table 3 represents the values of the roughness (Ra) measured along
four lines separated n/2 radians: G1, G2, G3 and G4, for each cutting
parameters applied.
To facilitate the analysis of the surface quality obtained on the
workpiece under the different combinations of cutting parameters tested,
two similar graphics were designed to show the evolution of the
roughness with respect to the feed (figure 2) and with respect to the
cutting speed (figure 3). The values of the roughness Ra represented on
both graphics, correspond to the arithmetical average of the parameter
roughness Ra measured along G1, G2, G3 and G4 for each test.
[FIGURE 2 OMITTED]
[FIGURE 3 OMITTED]
From figure 2, it can be seen that at cutting speeds of 40, 85 and
170 m/min, the higher the feed, the higher values of roughness was
obtained, as was expected (Rubio et al., 2005), (Kulenovic et al.,
2007). Thus, it is important to indicate that at these condition
parameters, a larger quantity of material was adhered to the tool, this
fact could also contribute to obtain less quality of the surface
machined. To illustrate this effect on the tool, figure 4 shows the
tools employed at different feeds (0.30 and 0.10 mm/rev) and identical
cutting speeds (125 m/min). It can be seen the material adhered to the
tool is considerably greater at the higher feed, despite the tests
carried out in this study lasted less than ten seconds. In fact,
specifically at low cutting speeds, when the adhesion to the tool is
mechanical, the continuous sliding of the fragments from the chips to
the tool causes an increasing tool wear (list et al., 2005).
[FIGURE 4 OMITTED]
On the other hand, analyzing the evolution of the roughness with
the cutting speed, in figure 3, it can be observed that the tendency of
the values of the roughness measured was the opposite as it was with
respect to the feed, though less accentuated, specially at 0.30 mm/rev
for the higher cutting speeds applied 85, 125 and 170 m/min. Under such
cutting conditions the values of roughness hardly varied.
5. Conclusions
The main conclusions extracted from this study are:
--The surface quality of the aluminium UNS A97050--T7 bar which is
obtained during dry turning short tests (no longer than 10 seconds)
improves with the descent of the feed and with the increase of the
cutting speed. From these two parameters, the feed is the parameter more
influential on the surface roughness.
--Taking into account these results, it would be convenient to
carry out new tests using values of the nearer feed to the values that
have lead to obtain the best surface quality and compare with the
suitability of the chips obtained during the machining in order to
complete the work.
--To further study the machinability of the UNS A97050--T7 alloys,
it would be convenient to carry out new tests using other types of tools
with different geometry and materials, applying other cutting depths and
analysing other aspects of the machining such as the cutting force and
temperature in the cutting area.
DOI: 10.2507/daaam.scibook.2009.90
6. Acknowledgment
Funding for this work was provided in part by the Spanish Ministry
of Education and Science (Directorate General of Research), Project
DPI2005-09325 c02--02.
7. References
Agustina, B.; Rubio, E.M.; Sanz, A. & Domingo R. (2007). A
classification of the UNS A97050--T7 aluminium alloy chips in short
duration tests under dry cutting conditions, Proceedings of the
MESIC--CISIF'2007, SIF, Sebastian, M. A. (Ed), pp. 1--8, ISBN:
978--84--611--8001--1, Madrid, July 2007
Agustina, B.; Rubio, E.M.; Marin, M.M.; Sebastian, M.A. (2008)
Analysis of the material adhered on inserts with and without TiN coating
during the dry turning of the aluminium alloy UNS A97050--T7, Proceeding
of the CIRP ICME08, Teti, R. (Ed), pp. 1--6, ISBN:
978--88--900948--7--3, Naples July 2008
Agustina, B.; Rubio E.M.; Marcos, M. (2007) Study of the adhered
material to the cutting tools on dry turning of aluminium alloys, Annals
of DAAAM for 2007, October 2007, 215--216, ISSN: 1726--9679
Kulenovic, M.; Begic,; Cekic, A. (2007) Experimental Investigation
of Carbon Steel in High Speed Cutting, Annals of DAAAM for 2007,
Katalinic, B. (Ed), pp. 411--412, October 2007, ISSN: 1726--9679
List, G., Nouari, M., Gehin, D., Gomez, S., Manaud, J.P., Le
Petitcorps, Y., Girot, F, (2005). Wear behaviour of cemented carbide
tools in dry machining of aluminium alloy, Wear 259 (2005) 1177--1189,
ISSN: 0043--1648
Nouari, M.; List, G.; Girot, F.; Coupard, D. (2003). Experimental
analysis and optimisation of tool wear in dry machining of aluminium
alloys, Wear Vol. 255, No.(7--12), 1359--1368, August--September 2003,
ISSN: 0043--1648
Rubio, E.M.; Camacho A.M.; Sanchez--Sola, J.M.; Marcos, M. (2005)
Surface roughness of AA7050 alloy turned bars. Analysis of the influence
of the length of machining, Journal.of Materials.Processing of.
Technology. Vol. 162--163C, pp. 682--689, May 2005, ISSN: 0924--0136
*** ISO 3685:1993, Tool--life testing with single--point turning
tools, 1993.
*** ISO 4288:1998, Geometrical product specifications (GPS).
Surface texture: profile method. Rules and procedures for the assessment
of surface texture, 1998: 1--20
This Publication has to be referred as: De Agustina, B[eatriz];
Research and teaching staff. Marin, M[arta] & Dr. Rubio, E[va]
(2009). Surface Roughness Study of UNS A97050--T7 Bars Obtained by Dry
Turning, Chapter 90 in DAAAM International Scientific Book 2009, pp.
923--930, B. Katalinic (Ed.), Published by DAAAM International, ISBN
978-3-901509-69-8, ISSN 1726--9687, Vienna, Austria
Authors' data: Research and teaching staff, De Agustina,
B[eatriz]; Research and teaching staff. Marin, M[arta]; Dr. Rubio,
E[va], National Distance University of Spain (UNED), Department of
Manufacturing Engineering, C/ Juan de Rosal 12, E28040 Madrid,
bdeagustina@ind.uned.es
Tab. 1. Adapted classification from ISO 3685 (ISO 3685, 1993)
Short/
Type/ Long/Flat/ Conical/ Snarled
Cutting Basic forrn Conn Loose
Straight Ribbon 1.1 1.2 1.3
Mainly up curling Tubular 2.1 2.2 2.3
Spiral 3.1 3.2
Mainly side curling Washer 4.1 4.2 4.3
Up and side curling Conical 5.1 5.2 5.3
helical
Arc 6.1 6.2
Tab. 3. Ra ([micro]m) measured under the different cutting parameters
applied
v(m/min), Ra ([micro]m)
/(min/rev) G1 G2 G3 G4
170,0.30 2.796 3.689 2.875 3.616
170,0.20 1.569 1.537 1.522 1.537
170,0.10 0.592 0.576 0.593 0.578
170,0.05 0.316 0.403 0.396 0.424
125,0.30 3.386 3.326 3.313 3.313
125,0.10 0.488 1.383 0.564 1.780
125,0.05 0.482 0.537 0.458 0.627
85,0.30 3.351 3.496 3.398 3.215
85,0.20 1.556 1.633 1.651 1.823
85,0.10 0.812 1.011 1.025 1.058
85,0.05 0.881 0.799 0.905 1.082
65,0.30 3.754 3.669 3.78 3.624
65,0.10 1.385 1.573 1,690 1.730
65,0.05 1.135 1.369 1.127 1.507
40,0.30 4.31 3.935 4.509 4.617
40,0.20 3.225 3.799 2.929 3.628
40,0.10 1.603 1.814 1.583 2.115
40,0.05 1.900 2.215 1.785 2.579