Ensuring Reliability of The Gearbox during Operation Stage
Irina Makarova
1a
, Eduard Mukhametdinov
1b
, Larisa Gabsalikhova
1c
, Vladimir Shepelev
2d
,
Shamil Galiev
1
, Polina Buyvol
1e
and Maria Drakaki
3f
1
Kazan Federal University, Syuyumbike prosp., 10a, 423822 Naberezhnye Chelny, Russia
2
South Ural State University, Lenin Avenue, 76, 454080 Chelyabinsk, Russia
3
Department of Science and Technology, International Hellenic University,
14th Km Thessaloniki, N. Moudania, GR-57001, Thermi, Greece
mdrakaki@ihu.gr
Keywords: Operational Reliability, Gearbox, failure.
Abstract: A significant proportion of the costs and downtime for repairs are attributed to transmission units, including
the gearbox. One of the main reasons for such high transmission costs is the existing structure of the operating
and repair cycle, which uses a strategy of waiting for failure, as a result operability is ensured mainly through
overhaul and comprehensive maintenance with high consumption of spare parts. spare parts and repair
downtime. This article is devoted to one of the most expensive repairs for ZF gearboxes, associated with the
destruction of the front bearing of the output shaft. When inspecting gearboxes delivered with a similar defect,
the condition of the gearbox parts does not allow making an unambiguous decision on the cause of the defect
due to critical destruction of the mating parts. Based on the available research and scientific literature in the
field of gearbox operation, an analysis was carried out and the root causes of gearbox failure in operation
were identified.
1 INTRODUCTION
Today automakers are investing in smart and energy
efficient vehicles because of the fierce competition
they want to make smart and efficient mobility
options. In the context of raising urbanization and
inclusiveness of modern society, autonomous
vehicles are designed to ensure an increase in the
mobility of population all categories, while reducing
the accident rate on the roads (Makarova,
Mukhametdinov, Tsybunov,
2018
). Numerous studies
are devoted to the problems of the autonomous
vehicles operation: the advantages, prospects and
features of the transportation process organization.
Despite technological advances in design,
autonomous vehicles are still classic vehicles but with
smart abilities. Each mechanical or electrical
component of such vehicle has a limited life cycle.
a
https://orcid.org/0000-0002-6184-9900
b
https://orcid.org/0000-0003-0824-0001
c
https://orcid.org/0000-0003-3325-3285
d
https://orcid.org/0000-0002-1143-2031
e
https://orcid.org/0000-0002-5241-215X
f
https://orcid.org/0000-0001-9322-7324
Therefore, the greater the mileage of an autonomous
vehicle, the greater the mechanical parts wear. The
higher the difficulty degree, the higher the risk of
technical problems. Until the autonomous vehicle
fleet becomes sufficient to obtain large statistical
datasets of all failure kinds, there is a significant
probability of failures during operation.
Although the vehicles produced today are reliable
and maintainable, there is still a need to further
improve their performance and fault tolerance
(Makarova, Khabibullin, Belyaev, 2012). As the
author of the paper (Bertsche, 2008) noted in his
study, the number of returns due to critical failures
and defects in automotive components and systems
has increased. This increased the manufacturer's costs
by eight times and led to the fact that warranty costs
amounted to 8-12% of the company's turnover. The
increase in the defects number can be explained by
768
Makarova, I., Mukhametdinov, E., Gabsalikhova, L., Shepelev, V., Galiev, S., Buyvol, P. and Drakaki, M.
Ensuring Reliability of the Gearbox during Operation Stage.
DOI: 10.5220/0010530707680774
In Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS 2021), pages 768-774
ISBN: 978-989-758-513-5
Copyright
c
2021 by SCITEPRESS Science and Technology Publications, Lda. All rights reserved
the increasing complexity of modern vehicles design.
Considering that the system for ensuring the units
operability is based on the regularities of changes in
the technical state during operation, due to the action
of various factors of a constructive, technological,
operational and organizational and technical nature
(Khabibullin et. al, 2013), the issue of researching the
vehicle components and assemblies reliability
remains relevant (Makarova, Pashkevich, Buyvol,
Mukhametdinov,
2019.).
2 METHODS FOR DEFINING
RELIABILITY: STATE OF THE
PROBLEM
A vehicle is a complex mechanical system with
several levels of hierarchy, consisting of various
subsystems and components. Ensuring the reliability
of the system can be carried out by design and
analytical methods. Design methods include defining
accurate design data, manufacturing instructions,
followed by early and extensive testing procedures to
ensure reliability. Analytical methods for ensuring
reliability include determining and / or predicting
reliability using quantitative and qualitative methods.
They are applied during the conceptual design phase
and during vehicle operation.
Faults diagnostics to identify the root cause of a
vehicle's loss of performance is the main task when
servicing a vehicle (Gritsenko, Shepelev,
Zadorozhnaya, Shubenkova, 2020, Tsybunov,
Shubenkova, Buyvol, Mukhametdinov, 2018).
Correctly and timely detected defective unit allows
not only to reduce the load on the mating parts, but
also to neutralize such negative environmental
consequences as excessive oil consumption, an
increase in pollutants in the exhaust gases (Makarova,
Shubenkova, Mavrin, Gabsalikhova, Sadygova,
Bakibayev, 2019). The use of a fault tree analysis
(FTA) as a tool for diagnosing problems with vehicle
performance has been widely used by many
researchers (James, Gandhi, Deshmukh 2018,
Makarova, Shubenkova, Mukhametdinov,
Giniyatullin, 2020). The Fishbone diagram is also
used to help identify and pinpoint the causes of
maintenance errors that can lead to failures in
automotive systems (Murugan, Ramasamy, 2015).
It is also effective to use a combination of
methods. For example, the authors of the work
(Stefana, Marciano, Alberti, 2016) used such tools as
reliability block diagram, bow-tie analysis, FTA,
Failure Mode and Effects Analysis (FMEA) and
likelihood and consequences analysis.
As one of the promising methods for
troubleshooting, many authors suggest using
vibration diagnostics, which allows to determine the
degree of parts wear in a non-disassembly way
(Makarova, Mukhametdinov, Gabsalikhova,
Garipov, Pashkevich, Shubenkova, 2019, Gritsenko,
Shepelev, Zadorozhnaya, Almetova, Burzev, 2020)
In the era of big data, the availability of
information has increased significantly, as a result of
which more sophisticated tools can be used to
determine the hidden relationships in investigated
variables. To determine the vehicle mean operating
time between failures, in addition to the classical
predictive models, the methods of intellectual
analysis are currently used. In particular, in the work
(Chong, Liu, Sun, Gilfedder, Titmus, 2019), the
authors applied the concept of deep learning in neural
networks, using data on the mileage between vehicle
faults from a geographic information system. Most of
the components in automotive systems are
mechanical, the failure time of which corresponds to
the Weibull distribution. Therefore, in their work
(Kumar, Jain, Soni, 2019), the authors proposed a
semi-Markov model suitable for repairable
mechanical systems.
The development of methods to improve the
transmission elements reliability is an urgent task,
since it affects the efficiency and driving comfort
(Roshdy, Abdelazi, 2020).
The papers (Liang, Walker, Ruan, Yang, Wu,
Zhang, 2019, Deryusheva, Kosenko, Zagutin,
Arakelyan, Krymsky, 2019, Ilyuchyk, Basalai, 2019)
are devoted to researching of changes in the technical
state and their design during transmission units’
work. As a result of using the recommendations of
these studies in production and operation, the
reliability of vehicles and other machines
transmission units has significantly increased, and the
costs of ensuring their working capacity in operation
stage have been reduced.
Within the framework of the indicated problems,
this study will analyze the defects’ causes, establish
the distribution law for the failures’ number from the
mileage, and then propose measures to improve the
reliability of this unit.
Ensuring Reliability of the Gearbox during Operation Stage
769
3 RESULTS AND DISCUSSION
3.1 Identifying the Most Common Gear
Box Defects
Since the beginning of the use of ZF gearboxes on
KAMAZ vehicles, the main reason for the failure was
the vehicle towing in neutral gear, without
disconnecting the propeller shaft. In this case, there is
no rotation of the intermediate shaft, the oil pump is
stopped, so the bearing operates under oil starvation
conditions. The most serious damage to a part occurs
if gearbox demultiplicator remains included in the
reduced range.
The classification of the ZF gearbox main faults
and failures at the initial stage of operation is shown
in Fig. 1.
Figure 1: Distribution of claims by defects’ type.
The problem under study is associated with the
destruction of the output shaft bearing, which is a
tapered roller radial thrust bearing with a size of 42.07
x 82.904 x 40.386, cm. (Fig. 2)
The bearing is installed on the output shaft pin,
fixed with two split half rings of different thickness,
depending on the clearance of the locating groove.
The bearing outer cage is the tapered surface of the
input shaft cavity, lubrication is carried out from a
centralized lubrication system, oil is supplied through
an opening in the oil bypass throttle.
As the main information source, we used the
analysis of claims for failures of the gearbox with the
defect "destruction of the output shaft bearing" due to
calls from vehicles’ owners. The analysis was carried
out for gearboxes manufactured in Brazil, China,
Russia and Germany. Fig. 3 shows photographs of the
types of bearing destruction during operation stage.
Defect analysis was carried out at the service center
of the ZF KAMA company.
One of the failure classification signs is the defect
cause, which is divided into three main types:
structural, production and operational.
Structural failure occurs due to imperfections and
structure defects, the reasons are errors in the unit’s
development and design, underestimation of safety
margins, violation of standards established by state
official standardization bodies.
A production failure is a failure due to a
production violation or human error. The reasons for
production failures are non-observance of
documentation technical standards, use of low-
quality components, insufficient level of production
quality control. In the process of analyzing the output
shaft bearing failure, the following factors are
identified: incorrect selection of the adjusting half
rings, damage to the bearing or its parts during
installation, incorrect/ non-installation of the oil
retaining ring (the consequence is oil starvation at the
time of start-up), bearing damage during storage and
transportation, installation of a poor-quality bearing,
damage when connection with the power unit, the use
of a shaft with deviations from the required
dimensions (landing with excessive or weakened
interference).
Figure 2: Output shaft bearing.
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770
Figure 3: Types of the
output
shaft bearing destruction
An operational failure is a failure caused by a
violation of established rules and/or operating
conditions. Operational failures arise due to the use of
facilities in conditions for which they were not
intended, violations of operating rules (overloading,
missing maintenance and repair, the use of non-
compliant greasing substances, non-compliance with
transportation and storage rules). For example, in case
of maintenance violations, the gear box mean
operating time between failures can be reduced by
more than 3 times as a result of air with abrasive dust
or moisture from the external environment entering
the crankcase.
The operational reasons for the failure of the
gearbox are the following factors: rolling, incorrect
load orientation (engine braking), high-speed
operation of the vehicle with low speed, violation of
towing conditions, the use of non-recommended
greasing substance.
The gearbox failure due to the bearing fault is a
grouping feature. To compile a statistical series, the
information was divided into n equal intervals. The
number of statistical series intervals was determined
by the formula of G.A. Sturgess:
n = 1 + 1,44ln(N), (1
)
where N = 30 – number of elements in the statistical
series.
n = 1 + 1,44ln(30)=5,94=6
Interval length:
A
= (t
max
- t
min
)/n
(2
)
where t
max
and t
min
the highest and lowest
reliability index values in the summary information
table.
A
= (91302 - 11206)/6=15029 km
At the beginning of the first interval, the
minimum mileage was taken, the results of the
calculations are shown in Table 1.
Ensuring Reliability of the Gearbox during Operation Stage
771
Table 1: Calculation results.
Interval number, i
Lower bound, t
i
Upper bound, t
i+1
Middle of interval, t
*
Frequencies, m
i
Cumulative frequencies
1 1126,00 16155,34 8640,67 17 17
2 16155,34 31184,68 23670,01 8 25
3 31184,68 46214,02 38699,35 3 28
4 46214,02 61243,36 53728,69 0 28
5 61243,36 76272,70 68758,03 1 29
6 76272,70 91302,04 83787,37 1 30
Amount: 30
Figure 4: Theoretical and empirical fault distribution
functions.
Based on the results of reliability analysis during
the warranty period of operation and calculations on
the output shaft bearing failure, it was established that
the sample is subject to the normal distribution law.
3.2 Proposed Events to Improve
Gearbox Reliability
3.2.1 A Design Modify
The bearing strength calculation showed that the
durability and statistical carrying capacity of the
output shaft front bearing are ensured. In the gearbox
highest transmission, the gear ratio is equal to "1,"
i.e., the input and output shafts are locked by the
fourth transmission synchronizer and rotate at the
same angular speed, respectively, the bearing is at rest
and in the absence of vibration, impact on the bearing
is minimal. A different pattern is created during
operation on the lower gears, namely when moving
on the descent, at the moment when braking occurs,
including due to the engine, the output shaft bearing
takes maximum loads, taking into account the
features of the distribution of forces in the oblique
gear, at certain moments the loads on the bearing can
be critical.
The Ecosplit gearbox lubrication system is
designed in such a way that oil is supplied to the input
shaft niche and the sliding surface of the divider gear
through a hole in the oil bypass throttle, located offset
from the output shaft rotation axis. Factors such as
exceeding the maximum permissible engine speed,
incorrect strategy for selecting gears of the main
gearbox of the gearbox, erroneous shift of the
demultiplicator gears can lead to oil starvation and
bearing overload, and, as a result, to destruction and
failure of the gearbox as a whole.
For this type of failure, researches were carried
out and it was found that one of the reasons for the
failure is a lubrication lack and high axial loads.
According to the results, a change was introduced in
the gearbox design: the diameter of the oil crossing
hole in the throttle was increased from 2.0 to 2.5 mm,
the purpose of which is to supply a larger volume of
oil.
The expansion of the oil crossing hole diameter
ensures the supply of more quantity oil, thereby
ensuring the removal of heat from the friction parts
and improving the lubrication process.
3.2.2 Replacement of Roller Radial Thrust
Bearing
Based on the analysis carried out, it can be argued that
the failure cause is operational factors, one of them is
short-term dynamic overloads arising from a change
in the direction of the power flow loading the roller
cone bearing, for example, during engine braking. For
vehicles operating in mountainous terrain, there is a
variant of the gearbox with an intarder
(hydrodynamic brake-retarder), which has proven
itself as an auxiliary braking system, but the cost of
vehicles with additional units is high and carriers, as
a rule, prefer standard vehicles. For long-term
operation in mountainous terrain with maximum load,
drivers use engine braking at high speeds at the lower
gears of the gearbox to unload the main braking
system. As noted earlier, this process is accompanied
by a maximum load of the gear box front bearings.
Vibration plays an important role in the failure
occurrence. In the highest gear, the speed of the input
and output shafts rotation is the same, that means the
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772
bearing does not rotate relative to the rolling
elements, and in the presence of even slight vibration
(for example, the effect of adhesion), small relative
movements between the bearing rolling elements are
generated and, under the influence of such a process,
grooves are formed on the raceways over time.
Considering the fact that the vehicle maximum
operating time is carried out in the highest gear, the
vibration effect can be critical. When the speed
decreases, switching to lower gears occurs, the
angular speeds of the input and output shafts rotation
change, the bearing starts to rotate, and the presence
of even a small depletion on the rolling elements can
lead to rolling elements’ sliding relative to the bearing
rings without rotating the rollers, which leads to
bearing seizure. As one of the solutions, to change the
output and input shafts design, by analogy with the
gearbox of the ZF Astronic and Traxon models,
where this unit has a different design solution, and use
two bearings: a cylindrical roller bearing for taking
only radial loads and a support bearing for axial
forces.
Such a design entails a change in the input and
output shafts, the introduction of new parts and
additional adjustment operations during assembly, an
increase in the labor intensity and assembly
operations time, therefore, will also lead to a
significant increase in the gearbox cost.
3.2.3 Change of Lubrication System
For bearing failure-free operation, it is necessary to
provide a bearing lubricating layer, which cannot
occur if the greasing substance amount of is
insufficient or the greasing substance has lost its
lubricating properties. Under such conditions, metal
contact occurs between the bodies and the raceways.
At the initial stage, wear implements the lapping
process: microscopic small roughness vertices
formed during machining are cut and the rolling
effect is achieved and the surface looks mirror
smooth. With a lack of greasing substance, a
significant increase in temperature occurs, which in
certain situations can lead to bearing wedging.
Additionally, with the lack of a lubricating layer,
small cracks may appear on the rolling bodies
surfaces, which increase rapidly during operation,
preventing smooth rotation of the bearing. Such
cracks accelerate the process of fatigue cracks
formation under the raceways surface, reducing the
bearing durability.
To ensure sufficient lubrication, it is proposed to
change the lubrication system using a output shaft
with minimal design changes: introduce two
additional radial holes at the installation site of the
internal bearing race, which will also prevent fretting
corrosion.
The hydrodynamic mode disruption and the peak
loads presence, possibly also a combination of both
factors, can cause the loss of bearing and gearbox
operability as a whole.
4 CONCLUSIONS
1. Based on the results of reliability analysis during
the warranty period of operation and calculations on
the output shaft bearing failure, it was established that
failures are subject to the normal distribution law.
2. It was found that the most likely cause of the failure
is short-term peak loads arising during operation,
taking into account the peculiarity of the forces
distribution in the oblique engagement.
3. An analysis of the bearing lubrication system
showed that the existing lubrication system does not
fully provide lubrication at peak loads and heat
removal from the bearing rolling bodies. Two
solutions are proposed: to change the assembly - to
use two different bearing assignments, or to change
the lubrication system in order to provide the
necessary lubrication.
ACKNOWLEDGEMENTS
The reported study was funded by RFBR, project
number 19-29-06008\19.
REFERENCES
Bertsche, B., 2008. Reliability in automotive and
mechanical engineering. VDI-Buch. Springer-Verlag,
Berlin.
Chong, C., Liu, Y., Sun, X., Gilfedder, C.D.C., Titmus, C.,
2019. Automobile maintenance prediction using deep
learning with GIS Data. In Procedia CIRP, vol. 81,
pp.447–452.
Deryusheva, V. V., Kosenko, V.V., Zagutin, D.S,.
Arakelyan, R.M., Krymsky, V.S., 2019. The motor
vehicles transmission number optimum management.
In AIP Conference Proceedings, vol. 2188, 020010,
2019. DOI: 10.1063/1.5138384.
Gritsenko, A., Shepelev, V., Zadorozhnaya, E., Almetova,
Z., Burzev, A., 2020. The advancement of the methods
of vibro-acoustic control of the ICE gas distribution
mechanism In FME Transactions, 48 (1), pp. 127-136.
Gritsenko, A., Shepelev, V., Zadorozhnaya, E.,
Shubenkova, K., 2020. Test diagnostics of engine
Ensuring Reliability of the Gearbox during Operation Stage
773
systems in passenger cars. In FME Transactions, vol.
48 (1), pp. 46-52.
Ilyuchyk, P.А., Basalai, R.А., 2019. Modernizing the
variable transmission as a way of improving the
efficiency of dump trucks operation. In Topical Issues
of Rational Use of Natural Resources, pp.378-385.
James, A. T., 2020. Reliability, availability and
maintainability aspects of automobiles. In Life Cycle
Reliab Saf Eng, vol. 10, pp. 81–89.
James, A. T., Gandhi, O.P., Deshmukh, S.G., 2018. Fault
diagnosis of automobile systems using a structural
approach. In Int J Sys Assur Eng Manage, vol. 9(2), pp.
494–508.
Khabibullin, R. G., Makarova, I.V., Belyaev, E.I.,
Suleimanov, I.F., Pernebekov, S.S., Ussipbayev, U.A.,
Junusbekov, A.S., Balabekov, Z.A., 2013. The study
and management of reliability parameters for
automotive equipment using simulation modelling. In
Life Science Journal, vol. 10 (12), pp. 828-831.
Kumar, G., Jain, V., Soni, U., 2019. Modelling and
simulation of repairable mechanical systems reliability
and availability. In Int J Sys Assur Eng Manage, vol.
10(5), pp.1221–1233.
Liang, J., Walker, P.D., Ruan, J., Yang, H., Wu J., Zhang
N., 2019. Gearshift and brake distribution control for
regenerative braking in electric vehicles with dual
clutch transmission. In Mechanism and Machine
Theory, vol. 133, pp. 1-22.
Makarova, I., Shubenkova, K., Mavrin, V., Gabsalikhova,
L., Sadygova, G., Bakibayev, T. 2019. Problems, risks
and prospects of ecological safety’s increase while
transition to green transport. In Advances in Intelligent
Systems and Computing, vol. 879, pp. 172-180.
Makarova, I., Khabibullin, R., Belyaev, A., Belyaev, E.,
2012. Dealer-service center competitiveness increase
using modern management methods. In Transport
Problems, vol. 7 (2), pp. 53-59.
Makarova, I., Shubenkova, K., Mukhametdinov, E.,
Giniyatullin I., 2020. Selection of the Method to Predict
Vehicle Operation Reliability. In Lecture Notes in
Networks and Systems, vol.117, p.p. 316-328.
Makarova, I., Mukhametdinov, E., Gabsalikhova, L.,
Garipov, R., Pashkevich, A., Shubenkova, K., 2019.
Justification of the Possibility to Use Vibration
Measuring Sensors in Onboard Diagnostic Devices. In
2019 International Seminar on Electron Devices
Design and Production (SED), 23-24 April 2019,
Prague, Czech Republic, Czech Republic, № 8798442,
2019. DOI: 10.1109/SED.2019.8798442.
Makarova, I., Mukhametdinov, E., Tsybunov, E., 2018.
Management of the reliability of intelligent vehicles as
a method to improve traffic safety. In Transportation
Research Procedia, vol. 36. pp. 465-471.
Makarova, I., Pashkevich, A., Buyvol, P., Mukhametdinov,
E., 2019. Risk analysis in the appointment of the trucks’
warranty period operation. In Advances in Intelligent
Systems and Computing, vol. 854. pp. 293-302.
Murugan, R., Ramasamy, R., 2015. Failure analysis of
power transformer for effective maintenance planning
in electric utilities. In Engineering Failure Analysis
,
vol. 55, pp. 182-192.
Roshdy, S., Abdelazi, M., 2020. Development of automated
manual transmission system using fuzzy logic control.
In International Journal of Mechatronics and
Automation, vol. 7(1). DOI: 10.1504/IJMA.2020.
108187.
Stefana, E., Marciano, F., Alberti, M., 2016. Qualitative
risk assessment of a Dual Fuel (LNG-Diesel) system for
heavy-duty trucks. In J Loss Prevent Proc, vol. 39, pp.
39–58.
Tsybunov, E., Shubenkova, K., Buyvol, P.,
Mukhametdinov, E., 2018. Interactive (Intelligent)
Integrated System for the Road Vehicles’ Diagnostics.
In Lecture Notes of the Institute for Computer Sciences,
Social-Informatics and Telecommunications
Engineering, LNICST, vol. 222, pp. 195-204.
iMLTrans 2021 - Special Session on Intelligent Mobility, Logistics and Transport
774