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Mechatronics Design and Kinematic Simulation of 5 DOF Serial Robot Manipulator for Soldering THT Electronic Components in Printed Circuit Boards

Authors:
Mechatronics Design and Kinematic Simulation of
5 DOF Serial Robot Manipulator for Soldering THT
Electronic Components in Printed Circuit Boards
Owen Mejia
Professional School of
Mechatronics Engineering,
Universidad Ricardo Palma
Lima, Peru
owen.mejia@urp.edu.pe
José Cornejo, Senior Member IEEE
Universidad Tecnológica del Perú
Lima, Peru
c21944@utp.edu.pe
Diego Nuñez
Professional School of
Mechatronics Engineering,
Universidad Ricardo Palma
Lima, Peru
diego.nunezv@urp.edu.pe
Jack Rázuri
Professional School of
Mechatronics Engineering,
Universidad Ricardo Palma
Lima, Peru
jack.razuri@urp.edu.pe
Ricardo Palomares, Senior Member IEEE
Professional School of
Electronics and Telecommunications,
Universidad Nacional Tecnológica
de Lima Sur-UNTELS
Lima, Peru
rpalomares@untels.edu.pe
Abstract—Universities must have properly implemented and
qualified laboratories for the comprehensive training of
students. There are laboratories with laser cutters and 3D
printers but very few with a robotic system that can be used by
students. For this reason, the innovative research was carried
out in 2021 under the supervision of the School of Mechatronics
Engineering at Ricardo Palma University, it was creating a
robotic system that allows soldering THT electronic components
on printed circuit boards, to help students to perform this
process. The robotic system will be able to adapt to different
sizes of circuit boards in a specified workspace, defined by 23
cm x 17 cm, and reach the farthest points of the circuit boards
due to the 5 degrees of freedom that compose it. This study
presents mechatronics conceptual design and kinematic analysis
simulation of the structure, which is a set of a translation joint
with reference to the cartesian robot movement and rotation
joints that compose a manipulator. In addition, the end effector
will be a soldering iron beside a pipe for the tin output which
will be connected to a pair of gears controlled by a stepper motor
to dispense the filler material. The robot is pretended to be
applied to laboratories of Ricardo Palma University. In
conclusion, favorable results were achieved; consequently, the
next step of the project is to apply a camera for the solder path
recognition and expand its use for SMD electronic components.
Keywords—serial robot, robotic soldering, kinematic analysis,
Matlab simulation, manipulator, mechatronics
I. INTRODUCTION
Currently there are many engineering laboratories without
new technologies for educational soft soldering, so
universities must seek to create spaces for students to improve
their skills. The project aims at being implemented in the
future in the laboratories of the Ricardo Palma University, for
undergraduate students to interact with the robotic system and
to help them with the soft soldering of the circuits seen in the
first academic term of mechatronics and electronics
engineering careers. Also, to familiarize them with robotic
systems and innovation of these [1].
For a quality soldering process, the cleaning of the
soldering iron tip and its temperature should be considered, so,
is essential to have a station that controls this parameter for an
ideal temperature to soldering THT (Through Hole
Technology) electronic components in a range of 250 °C to
375 °C, therefore, a temperature regulator allows working
with different applications. For the cleaning of the tip in the
soldering tool, the robotic system has a small station located
in the back of the workspace, having the position coordinates
already defined by a previous program [2].
The design of the robotic system is a combination between
a cartesian and manipulator robot, being considered a serial
robot with a similar structure to a 3D printer machine, adding
rotational joints and links to cover a greater workspace. In
addition, the end effector is composted by a soldering iron tip
and the tin applicator pipe. Finally, a small mechanical system
controls the amount and the output flow required to solder the
components, being the final design in Fig. 1 [3].
Fig. 1. Serial Robot Manipulator - Design
II. MATERIAL AND METHODS
A. Mechatronics Design
The support structure has aluminum profiles, 45°
connectors for profiles, M5 aluminum spacers and V bearings,
materials commonly used in a 3D printer. In Fig. 2. The shape
of the structure is based on a cartesian robot together with the
supports, allowing to maintain the stability of the robotic
system and the movement of the manipulator in the “Z axis”
through toothed belts using NEMA 17HS1538 motor.
Moreover, the base has a space where the electronic system
for the robot operation will be located.
2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT) | 978-1-6654-3647-2/22/$31.00 ©2022 IEEE | DOI: 10.1109/ICEEICT53079.2022.9768447
Fig. 2. Support Structure
The design of the extrusion aims at the application of the
correct amount of the filler material conformed by a pair of
gears and a pulley to generate the necessary tension for the
route of the tin, adding a spring-loaded lever to control the
pressure of the gear's grip on the material. This process has a
duration of 3 second, the gear system allows outflow and has
an actuation time of 2 seconds in total. Finally, to complete
the mechanism is adding a stepper motor 28BYJ48, coupled
with the gears, as is presented in Fig. 3. The complete
soldering process has a maximum time of 5 seconds, the
soldering iron must initially heat the connection pin and the
circuit point to the board.
Fig. 3. Group of Gears for the Filler Material Outlet
The movement of all the joints are made up of a
transmission through toothed belts represented in Fig. 4. This
type of transmission was chosen for the ease of maintenance
performed on the belts, keeping a compact and aesthetic
design. The transmission system allows to double the torque
on the pinion as it has a dimension of half the drive shaft
located in specific NEMA motors such as NEMA 23 that can
apply 150 N.cm minimum being doubled depending on their
transmission ratio. Along with the NEMA 14 which have a
high-power density capable of offering high micro stepping
resolution and quiet operation. Then there are the NEMA 8
and NEMA 11 which function to provide movement at certain
degrees of inclination for better precision in the desired spots
solder on the printed board, as they have a low noise level,
small volume, and smooth operation for its structure.
Fig. 4. Transmission System
For the design of the end effector, an aluminum support
piece is implemented acting as a grip for the soldering iron and
the filler material outlet pipe as is shown in the Fig. 5. Besides,
use a cork liner as a thermal insulator to fill the spaces between
the aluminum piece and the two tools, preventing the tin from
melting due to the heat of the soldering iron before starting the
process. The soldering tip is interchangeable by uncoupling
the screws from the end of the soldering iron, adapting to
different electronic components to be soldered.
Fig. 5. End Effector
Robot parts would be produced by a 3D printing to reduce
the weight of the robot system and the cost of implementation.
Additionally, the structure has carbon fiber plates of 2
millimeters thick to increase their resistance and is also
improving the support of the links with shafts of 8 millimeters
of diameter in the 2nd and 3rd joint with their respective
bearings. Finally, the maximum size of the plates to be
soldered is taken as a reference, which has a measurement of
23 cm x 17 cm, shown in Fig. 6. with the dimensions of the
robotic soldering station.
Fig. 6. Main Dimensions
B. Workflow Development
Fig. 7. Shows the flowchart about the principal sequences
and operations of the robot, expressing the decisions which are
considered to have an ideal temperature control in the
soldering iron tip by the relay solid state and the PT 1000
sensor. On the other hand, the diagram also explains the logic
of the robot movement related to the soldering process.
Fig. 7. Robot Operation Flowchart
The robot’s degrees of soldering are shown in Fig. 8.
Enable to adjust the required angles for a correct coupling
between the THT electronic component and the printed circuit
board, emulating the tool position in the soft soldering manual
process, improving its precision and efficiency. Before the end
effector there is a temperature sensor, Pt 1000, since to the
movements of the manipulator have a considerable length of
cables that generate errors in the measurements, compared to
the PT 100 sensor, this one has an error of ±0.1 °C, being
controlled correctly the heat transfer to the tip during the
soldering process.
Fig. 8. Degrees of Freedom Serial Robot Model
At the base of the structure are all the electronics devices
and components that allow the serial robot function as shown
in Fig. 9. The chosen controller is Raspberry pi 4, since it has
40 GPIO pins which allow to improve noise immunity, in
addition to the possibility of activating drivers in parallel and
these can be programmed as inputs, outputs or different
functions described in the data sheet. Also, an SSR (Solid
State Relay) used as an on/off controller for a higher load,
these have fast switched speeds. Furthermore, three DRV
8825 and two Tb 6600 drivers allow the control of bipolar
stepper motors. Finally, a power switching supply of
12 Volts - 15 Amperes for the system that allows to regulate
the necessary voltage output for the different components.
Fig. 9. Electronic Devices
III. KINEMATIC ANALYSIS AND SIMULATION
A. Forward Kinematics
The mathematical description of the serial manipulator of
5 DOF robot is represented by a kinematic model shown in
Fig. 10. considering the perspective of an initial position. The
following formulation is based on forward kinematics by the
Denavit-Hartenberg algorithm [4-18].
Fig. 10. Kinematic Diagram of 5 DOF Robot
The Table I. of kinematic parameters are based on Fig. 10.
with their respective variable angles and distances for each
joint. Describing the variable parameters with the
terminology *.
TABLE I. DENAVIT-HARTENBERG
Link
(i)
Kinematic Parameters
1
u
*
0
2
*
-
u
0
0
3
*
-
90°
0
-
90°
4
*
0
-
90°
5
*
0
0
Consider the following variables to replace in the
transformation matrices.


 
!!!!
""""
Where the initial values to each parameter are:
##$##%&&'$())*+))
##$##%&&#$#)),-))
##$##%&#$.))/+,$.(%
.#$##%-#))
Implementing the parameters in the Denavit-Hartenberg
algorithm to the final transformation matrix is going to be the
multiplication of each matrix considering the 5 degrees of
freedom.
0
1#
#
# # &
# # # & 2 0
1#
#
# # & #
# # # & 2
0
1# 
#
# & # #
# # # & 2 0
1# #
# #
# & #
# # # &2
0
1# 
# 
# # & #
### & 2
Where the final transformation matrix is:
0
0
3 0
3 0
3 0
3 0
… (1)
Solving (1) the transform matrix results in:
0
1456
57
58
# # # &2
Where is conform by:
0
9:;<<=>6 :5=<=>6
# & ? … (2)
From (2) the position coordinates of the end effector are
described by:
5@44A4
B … (3)
5C4444A
B … (4)
5D4EFGABGHIAB … (5)
Replacing the initial values in the equations number (3), (4)
and (5) to obtain the position of the end effector.
56&,($..&& ˰ 57,+$J,(. ˰ 58*+$####
B. Jacobian
The following mathematical calculation is the geometric
Jacobian matrix, shown the relate between the joint velocities
and the linear and angular velocity of the end effector respect
from the variable parameters by each joint, is represented by
the equations:
K:KLMKN> , “n” is the number of joints … (6)
KLOPL
#
Q
R
S , if it is a prismatic joint. … (7)
KLOPL3ATNTLB
PL S , if it is a rotary joint. … (8)
Using in (6) the equations (7) and (8) with the respective
parameters to calculate the geometric Jacobian, is described
by:
KOKU
KVS
W
X
X
X
X
Y
#
#
&
#
#
#
Z
[
[
[
[
\
K
W
X
X
X
X
Y
A4BAB
A4B4AB
#
#
#
&
Z
[
[
[
[
\
K
W
X
X
X
X
Y
A4BAB
A4B4AB
#
#
#
&
Z
[
[
[
[
\
K
W
X
X
X
X
Y
AB
AB
]4^4


#
Z
[
[
[
[
\
K
W
X
X
X
X
Y
AB
AB
AB



Z
[
[
[
[
\
The previous matrices conform to the geometric Jacobian.
_K:KKKKK>
Finally, the variable parameters in the Jacobian matrix are
replaced with the initial values to obtain the next matrix.
Where is shown the linear and angular velocities considering
the initial position to this study [19-31].
K
W
X
X
X
X
Y
# &#$.## &#$.## # #
# &'-$### &-$### # -#$###
& # # -#$### #
# # # & #
# # # # #
# & & # &
Z
[
[
[
[
\
The las t Jacobian matrix shows how the angular velocity
in the “Z axis” is related by the 2nd, 3rd and 5th joints. Also,
how the robot cannot apply angular velocity in the “Y axis” in
this configuration [32-39].
C. Matlab Simulation
The simulation of the robot is adapted from the application
of homogeneous matrices. Then, using the equations and
results obtained from the robot kinematics checking the
position represented by a product of vectors, according to the
respective translation and rotations, in this way a graphic
representation of the initial position is obtained from the
simulation in Fig. 11. that was previously defined for the
application of the Denavit Hartenberg algorithm. Finally, a
graph of the total workspace that the robot has is shown in
Fig. 12 [40-47].
Fig. 11. Matlab plot-3D Simulation
Fig. 12. Workspace Simulation
IV. RESULTS, CONCLUSIONS AND FURTHER WORK
The present work shows the design and kinematic analysis
of a robot that allows the welding of THT components and is
intended to support undergraduate students that so not have
experience in soft soldering. The robotic system structure
based on a cartesian and manipulator robot allows varying
angles of the end effector that resembles the position of the
hand with the soldering iron. Additionally, the temperature
range for a correct soldering is considered to allow the process
to be carried out with different components without damaging
them.
The design of the robot was made taking into account the
workspace that was initially proposed through the 5 DOF,
necessarily counting with a structure that supports the weight
of the manipulator along with the motors. For this reason, the
NEMA 23 HS7430 motor was chosen by its torque of 150
N.cm, Moreover, in the design of the transmission the size of
the pinion was reduced to almost half the dimensions of the
wheel that is connected with the drive shaft to the motor,
doubling the torque in the joints.
The simulation code was made in Matlab to verify the
solution of the Denavit-Hartenberg algorithm and the position
of the end effector, introducing the main parameters used in
the kinematic analysis, a graph is obtained showing the robot
links that coincide with the defined initial position.
The robotic system could be implemented for soldering
components of surface mount devices, as there is a tip
exchanger, a very fine tip T18-D08 to perform soldering in a
small space, flat tips D16, D24; and a temperature controller
circuit that would become a soldering station by adding a
control system for each type of components that work together
with a camera for solder path recognition and quality
inspection of SMD electronic components.
ACKNOWLEDGMENT
Thanks to the Robotics Engineering Department in the
Professional School of Mechatronics Engineering at
Universidad Ricardo Palma, Lima, Peru. Also, thanks for the
supervision to the Department of Physics and Engineering at
the Bioastronautics and Space Mechatronics Research Group
(https://sites.google.com/view/bio-sm).
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... An industrial cobot is developed for direct interaction with human co-workers to provide an efficient manufacturing work environment to complete tasks. Cobots can assist humans in various industrial tasks like co-manipulation (Ibarguren & Daelman, 2021), handover of objects during assembly (Raessa et al., 2020) picking and placing materials (Borrell et al., 2020), soldering (Mejia et al., 2022), inspection (Trujillo et al., 2019), drilling (Ayyad et al., 2023), screwing (Koç & Dogan, 2022), packaging etc., on a manufacturing line. They can also relieve human operators (Li et al., 2022) and precisely and quickly lift and place loads (Javaid et al., 2021). ...
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Manufacturing industries are eager to replace traditional robot manipulators with collaborative robots due to their cost-effectiveness, safety, smaller footprint and intuitive user interfaces. With industrial advancement, cobots are required to be more independent and intelligent to do more complex tasks in collaboration with humans. Therefore, to effectively detect the presence of humans/obstacles in the surroundings, cobots must use different sensing modalities, both internal and external. This paper presents a detailed review of sensor technologies used for detecting a human operator in the robotic manipulator environment. An overview of different sensors installed locations, the manipulator details and the main algorithms used to detect the human in the cobot workspace are presented. We summarize existing literature in three categories related to the environment for evaluating sensor performance: entirely simulated, partially simulated and hardware implementation focusing on the ‘hardware implementation’ category where the data and experimental environment are physical rather than virtual. We present how the sensor systems have been used in various use cases and scenarios to aid human–robot collaboration and discuss challenges for future work.
... A futuro, la investigación tiene como objetivo desarrollar el modelamiento transradial Perfiles de Ingeniería Vol20 Nº20, juliodiciembre 2023 181 matemático del dedo pulgar para implementar una etapa de control precisa y eficaz basado en el conocimiento acumulado a través de proyectos previos. Este enfoque tiene el potencial de alterar significativamente la vida de quienes se ven afectados por esta afección brindándoles la oportunidad de recuperar un componente esencial de su función y autonomía [27][28][29]. ...
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Antecedentes: La amputación transradial, que implica la perdida de la extremidad superior por debajo del codo, es una realidad que afecta profundamente la vida de las personas. Objetivo: La investigación consideró como objetivo modelar y simular el movimiento de los dedos de la mano de una prótesis para pacientes adultos con amputación transradial, para incrementar su calidad de vida permitiéndoles realizar con mayor facilidad actividades cotidianas específicas. Metodología: Se realizó el análisis morfológico y diseño CAD de la mano utilizando como modelo la mano de un paciente adulto voluntario con amputación transradial derecha, asimismo, se detalló el diseño CAD del dedo pulgar de 2 GDL utilizando el software de ingeniería SolidWorks Professional. Luego se realizó el modelamiento cinemático de los dedos de la mano utilizando el algoritmo de Denavit – Hartemberg y se simuló los movimientos de los dedos utilizando el software de ingeniería Matlab. Resultados: Se obtuvo las posiciones iniciales y finales del extremo de los dedos de la mano, así como, las trayectorias durante la simulación del cierre de la mano. Conclusiones: La toma de medidas de un paciente maximiza la posibilidad de implementar un prototipo funcional. El modelamiento cinemático permite simular las trayectorias de los dedos de la mano con el software Matlab.
... The inverse kinematics for the UR10 robot was solved using the iterative Gauss-Newton algorithm, which seeks to find the parameter values through an iterative multiplication of matrices [25,26]. From the transformation matrix of Eq. (3), it follows that: ...
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Abstract: Peru is considered one of the principal agroindustrial avocado exporters worldwide. At the beginning of 2022, the volume exported was 8.3% higher than in 2021, so the design and simulation of a pick and place and palletizing cell for agro-exporting companies in the Region of La Libertad was proposed. A methodology was followed that presented a flow diagram of the design of the cell, considering the size of the avocado and the dimensions of the box-type packaging. The forward and inverse kinematics for the Scara T6 and UR10 robots were developed in Matlab according to the Denavit-Hartenberg algorithm, and 3D CAD, dynamic modeling, and trajectory calculation were performed in Solidworks using a "planner" algorithm developed in Matlab, which takes into account the start and end points, maximum speeds, and travel time of each robot. Then, in CoppeliaSim, the working environment of the cell and the robots with their respective configurations are created. Finally, the simulation of trajectories is performed, describing the expected movement, getting the time of the finished task was calculated, where the Scara T6 robot had a working time of 1.18 s and the UR10 of 2.32 s. For 2023 - 2025, its implementation is proposed in the Camposol Company located in the district of Chao - La Libertad, considering the dynamic control of the system.
... The upper extremity also requires the dimensions (cm) in the front and side arm reach [7,8]. The developed exoskeleton model seeks to generate a new medical alternative in the area of exoskeletons for assistedtype rehabilitation in patients with moderate motor limitations in upper limbs; providing a low-cost, lightweight and easy-tohandle equipment, similar to the operation of the Harmony Exoskeleton, designed for medical rehabilitation in upper limbs caused by stroke-type accidents, and capable of supporting its weight and assisting the patient by allowing them to move their arm through assisted rehabilitation [9][10][11][12]. ...
... For future research, it is recommended to include an autonomous navigation system, develop an aerial version of the robot that can cover more ground, and use IoT technologies [24][25][26][27][28]. ...
... In addition, the table of the drone speed control actions such as frontal, lateral, z-axis, and angular as a function of time was also obtained. According to the simulations performed, it is observed that the change of velocities is modified according to the trajectory and an improvement in the error is seen over time until it stabilizes, Fig. 10 shows as the error in the first seconds of the simulation has a value of 5, which after 8 seconds becomes a constant [20][21][22][23][24][25][26][27]. In addition, Fig. 11 shows that the error in the frontal and lateral linear velocity has a peak in the first 2 seconds and becomes a constant after 6 seconds, this indicates that the mobile kinematics equations for the drone are correct because it manages to reach the selected coordinate optimally. ...
... Subsequently, this test allowed verify that the 2 wheels did not rotate at the same velocity. That is why it was necessary to correct the factor of motion in the code [56][57][58][59][60][61]. ...
... Una vez desarrollado el CAD y elaborado el diseño de la trayectoria que realizó el robot se procede a generar una escena de simulación en el software CoppeliaSim [7] [8]. Primero se procedió a importar el CAD que fue controlado por medio de un código de programación realizado en el software de ingeniería Matlab [9]. Una vez importado el diseño en formato URDF se procedió a configurar los eslabones y articulaciones del robot. ...
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Mechatronics and Robotics (MaR) have recently gained importance in product development and manufacturing settings and applications. Therefore, the Center for Space Emerging Technologies (C-SET) has managed an international multi-disciplinary study to present, historically, the first Latin American general review of industrial, collaborative, and mobile robotics, with the support of North American and European researchers and institutions. The methodology is developed by considering literature extracted from Scopus, Web of Science, and Aerospace Research Central and adding reports written by companies and government organizations. This describes the state-of-the-art of MaR until the year 2023 in the 3 Sub-Regions: North America, Central America, and South America, having achieved important results related to the academy, industry, government, and entrepreneurship; thus, the statistics shown in this manuscript are unique. Also, this article explores the potential for further work and advantages described by robotic companies such as ABB, KUKA, and Mecademic and the use of the Robot Operating System (ROS) in order to promote research, development, and innovation. In addition, the integration with industry 4.0 and digital manufacturing, architecture and construction, aerospace, smart agriculture, artificial intelligence, and computational social science (human-robot interaction) is analyzed to show the promising features of these growing tech areas, considering the improvements to increase production, manufacturing, and education in the Region. Finally, regarding the information presented, Latin America is considered an important location for investments to increase production and product development, taking into account the further proposal for the creation of the LATAM Consortium for Advanced Robotics and Mechatronics, which could support and work on roboethics and education/R+D+I law and regulations in the Region. Doi: 10.28991/ESJ-2023-07-04-025 Full Text: PDF
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Space travel is one of humanity's most fantastic aspirations. However, space is the most dangerous environment due to extreme conditions. Reduced-gravity generates disuse muscle atrophy and impaired blood circulation in lower limbs. Therefore, this paper proposes a new biomedical soft robotic system to improve muscle development and promote blood circulation by applying energetically efficient mechanical stimulation to the soft tissues of the astronaut's lower limb and, additionally, to monitor their performance by cotton- based carbon nanotubes biosensors. The computational mechanical simulations performed show a maximum increase in energy optimisation of 89% and a maximum safety factor of 2.75. These preliminary results suggest an increase in the efficiency and safety of the soft robotic device.