All product automation processes require stamping as a last step to brand the finished product. Different product sizes require different sizes of stamping systems to stamp the logo on the finished product. In the pre...
All product automation processes require stamping as a last step to brand the finished product. Different product sizes require different sizes of stamping systems to stamp the logo on the finished product. In the present work, a model and simulation of the automated stamping and inspection system were created by using Factory I/O. The system is automated and controlled by a Programmable Logic Controller (PLC). The system consists of two conveyor belts driven by DC motors. The process begins with the products on the conveyor belt. When the product reaches the stamping base, the sensor detects the product, and the stamp, mounted on the pneumatic cylinder is activated with the help of a solenoid valve, initiates the stamping process. The final stamped product is moved ahead and collected in the tray using pick and place automation systems. The system uses proximity sensors to track products/objects on belt. The entire system is monitored and operated by the PLC to ensure efficient process flow. Automatic stamping and inspection systems help maximize the efficiency of any automated assembly system by reducing labor costs and increasing productivity.
This paper presents a simplified model-based trajectory optimization (TO) formulation for motion planning on quadruped mobile manipulators that carry heavy payload of known mass. The proposed payload-aware formulation...
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ISBN:
(纸本)9798350309805
This paper presents a simplified model-based trajectory optimization (TO) formulation for motion planning on quadruped mobile manipulators that carry heavy payload of known mass. The proposed payload-aware formulation simultaneously plans locomotion, payload manipulation and considers both robot and payload model dynamics while remaining computationally efficient. At the presence of heavy payload, the approach exhibits reduced leg outstretching (thus increased manipulability) in kinematically demanding motions due to the contribution of payload manipulation in the optimization. The framework's computational efficiency and performance is validated through a number of simulation and experimental studies with the bi-manual quadruped CENTAURO robot carrying on its arms a payload that exceeds 15 % of its mass and traversing non-flat terrain.
In this study, we employed a low-cost and facile soaking method to prepare terbium-doped mesoporous silica nanoparticles (SiO2-Tb NPs) suitable for bioimaging purposes. Morphological analysis showed that prepared sili...
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This study presents a comprehensive comparative investigation between the Model-Free Predictive Control (MFPC) approach based on an Ultra-Local Model (ULM) and conventional Model Predictive Control (MPC) within the co...
This study presents a comprehensive comparative investigation between the Model-Free Predictive Control (MFPC) approach based on an Ultra-Local Model (ULM) and conventional Model Predictive Control (MPC) within the context of a two-level voltage-source inverter (2L-VSI). The MFPC strategy harnesses historical data and the ULM for enhanced adaptability in uncertain scenarios. Simulation results reveal that the MFPC approach, employing Algebraic Identification Approaches (API), Extended State Observer (ESO), and Integral sliding mode observer (ISMO), maintains commendable performance under steady-state conditions, even when encountering parameter mismatches. Notably, during quick changes in current reference, the MFPC approach, specifically MFPCC-ISMO, showcases superior dynamic performance. Furthermore, when contrasted with MFPC and conventional MPC methods, the ULM-augmented strategy exhibits notable superiority. The incorporation of the ULM substantiates the MFPC's efficacy, supporting robust power conversion systems conducive to the transition to cleaner and sustainable energy solutions.
In this paper, the cascaded voltage and power control is proposed to expand the output voltage range for full-bridge-fed CLLC resonant converter. In first, the CLLC resonant circuit is analyzed based on pulse frequenc...
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ISBN:
(数字)9798350376067
ISBN:
(纸本)9798350376074
In this paper, the cascaded voltage and power control is proposed to expand the output voltage range for full-bridge-fed CLLC resonant converter. In first, the CLLC resonant circuit is analyzed based on pulse frequency modulation (PFM) and pulse width modulation (PWM). The output voltage is sensed and the power is calculated to tune the switching period to achieve the wide output range. A 3.0kW prototype circuit is implemented to demonstrate the proposed control.
This paper describes a novel mechatronic device for measuring the stiffness constant of simple steel tension springs. The device can measure the stiffness using two principles: quasi-static and dynamic methods. The de...
This paper describes a novel mechatronic device for measuring the stiffness constant of simple steel tension springs. The device can measure the stiffness using two principles: quasi-static and dynamic methods. The device is based on the Arduino Mega platform and has a touch-sensitive display for measurement control and visualization. The operation and measurement accuracy of the designed system on selected steel tension springs is evaluated.
The healthcare sector is being swiftly transformed by IoT thanks to the proliferation of innovative models in health care industry. We have proposed V-Doctor module which monitors patient health by various sensors. We...
The healthcare sector is being swiftly transformed by IoT thanks to the proliferation of innovative models in health care industry. We have proposed V-Doctor module which monitors patient health by various sensors. We used arduino and sensors for monitoring pulse and temperature to identify various disorders in human health. This IoT gadget could check the temperature and read the heart rate. It updates the ambient temperature and pulse rate to an IoT platform on an ongoing basis, Proposed V-doctor module effectively identifies human disorders based on pulse and temperature.
Ideally, a sensor designed for the food industry should be equipped with a fast, precise, and reliable system to detect the physical properties of a substrate without causing direct or indirect damage. However, curren...
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ISBN:
(数字)9798350349788
ISBN:
(纸本)9798350349795
Ideally, a sensor designed for the food industry should be equipped with a fast, precise, and reliable system to detect the physical properties of a substrate without causing direct or indirect damage. However, current photosensors are often very complex, as they focus on investigating the molecular composition of the substrate, which takes a long time to yield results. Additionally, these systems are typically large and intricate. Therefore, this project focuses on developing a photosensor based on a photoelectrochemical structure that can detect the quality of the substrate, is easy to assemble, and provides rapid results. This project used stingless bee honey (Heterotrigona itama) as the substrate. Five different concentrations of stingless bee honey were tested by diluting the honey with specific amounts of distilled water. The photosensor employed in this project is Titanium Dioxide Nanorod Arrays (TNAs), chosen for their unique physical and chemical properties when exposed to UV light. The distance between the UV light source and the photosensor was varied to ensure reliable and valid experimental results. Furthermore, a fuzzy logic model was developed using MATLAB to accurately predict the quality of the stingless bee honey. The results demonstrated that pure stingless bee honey generated very low voltage compared to other concentrations. The distance between the UV light source and the TNAs was measured up to 31 cm, showing a decreasing voltage path with an error close to zero percent. The development of the fuzzy logic model from the experimental results proved to be reliable.
Tuberculosis (TB) is a lung disease that tops the world mortality rate. The widely employed method of diagnosis is the X-ray images which gives the pictorial information of the lungs. In the era of the Internet of Thi...
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A robotic arm is an artificial arm designed to carry out specific activities. For many non-human scenarios where human communication is impossible, there are more and more reasons to construct robotic arms nowadays. P...
A robotic arm is an artificial arm designed to carry out specific activities. For many non-human scenarios where human communication is impossible, there are more and more reasons to construct robotic arms nowadays. People pick up things without thinking about the procedures necessary, and robotic arms that are controlled manually via wired and wireless technology are also used. The goal of this study is to regulate the robotic arm’s angle using an Arduino UNO board, an ultrasonic sensor, and a digital controller connected to a computer system. The robotic arm has five degrees of freedom (DOF), five joints, and servo motors at each one. Servo motors can control their position with the aid of a microcontroller. This Servo motor enables the Robotic Arm to position the necessary link at the proper angle. A rotary encoder can be used to measure the angle feedback. The goal of this research work is to introduce the level of intelligence that may be used by industries to decrease human mistake rates while also improving manufacturing and processing’s quality and speed of output. The main benefit of the robotic arm is that it can operate in dangerous conditions that are unsuitable for people, such as high temperatures and pressure. It is simple to update and modify the Robotic Arms. The entire cost and risk of workplace injuries are decreased by the robotic arm. Experimental verification has been made of the designed robotic arm’s functionality. Results from the simulation are shown and discussed.
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