Motor Power Research Articles

MESIN PENGADUK ADONAN UNTUK MENINGKATKAN PRODUKSI AMPIANG DAN KRIPIK CUMI PADA MITRA DI KOTA PANGKALPINANG

The aim of the Community Service Program for partners in the group making Ampiang and squid chips in Selindung Lama Village, Gabek District, Pangkalpinang City is to increase production capacity and quality and improve the partner business management system. The survey results showed that there were problems in the dough mixing production process carried out by partners who still used manual methods. As a result, partners' production capabilities are limited. Apart from that, in terms of business management, existing partners are still not optimal. The partner's average kneading capacity is 2-3 kg in 35 minutes. From the results of the discussion, improvements were made to the production system by providing dough mixing machines and marketing management training. Creating alternative concepts based on data from literature studies, interviews with partners. The alternative concept chosen as the machine design was assessed based on the results of discussions with partners looking at the aspects of frame dimensions, machine height, stirrer dimensions, motor power used, machine plate size used. The production process is carried out in the Bangka Belitung State Polytechnic Manufacturing Mechanic workshop (Polman Babel). The manufacture and procurement of Dough Mixer machines for partners has been realized well and has been provided directly to partners. The capacity of this kneading machine is 5 kg for one process. With a time of 7 minutes to 10 minutes and this machine can be used by partners for production activities for making Ampiang and kritcu, especially in the dough mixing process, partners have been able to increase the productivity of Ampiang and Kritcu through the application of appropriate technology machines In order to increase production capacity from previous production capacity by up to 100% and increase added value for partners.

ML- and LSTM-Based Radiator Predictive Maintenance for Energy Saving in Compressed Air Systems

Air compressors are widely used in industrial fields. Compressed air systems aggregate air flows and then supply them to places of demand. These huge systems consume a significant amount of energy and generate heat internally. Machine components in compressed air systems are vulnerable to heat, and, in particular, a radiator to cool the heat of the overall air compressor is the core component. Dirty radiators increase energy consumption due to anomalous cooling. To reduce the energy consumption of air compressors, this mechanism emphasizes a machine learning-based radiator fault detection, using features such as RPM, motor power, outlet pressure, air flow, water pump power, and outlet temperature with slight true fault labels. Moreover, the proposed system adds an LSTM-based motor power prediction model to point out the initial judgment of radiator fault possibility. Via the rigorous analysis and the comparison among machine learning models, this meticulous approach improves the performance of radiator fault prediction up to 93.0%, and decreases the mean power consumption of the air compressor around 2.24%.

Design and experiment of an intelligent surface mobile robot for the microbial slow-release control of pollution

In this paper, to solve the current problems of water quality pollution of rivers, such as multiple types, high toxicity and difficult degradation, we design an intelligent surface mobile robot based on the slow release of microorganisms. In the robot, the skeleton has a ship-type structure welded with stainless steel equilateral angle steel; the function module comprises a power supply part, motor part, transmission part, and release part; the wireless monitoring module is based on GPRS and EtherCAT networking technologies and consists of four submodules, including a data acquisition submodule, transmission submodule, database server and monitoring center. The field test results show stable overall transmission performance and wireless data transmission performance of the robot. When the water depth of the rotating cylinder is 0.3 m, and the speed of the rotating cylinder is 15 r/min, the pollution control ability of the robot is outstanding. The experimental results also verify the feasibility of the robot in treating water pollution. The robot can greatly improve the mechanization, automation and efficiency of water pollution control and facilitate the centralized monitoring of joint operations, so it is worth popularizing.

Study of the Dielectric and Corona Resistance Properties of PI Films Modified with Fluorene Moiety/Aluminum Sec-Butoxide.

With the policy tilt and increased investment in research and development in the world, new energy vehicle technology continues to progress and the drive motor power density continues to improve, which puts forward higher requirements for the comprehensive performance of the core insulating material enameled wire enamel for drive motors. Polyimide (PI) has excellent electrical insulation properties, and heat resistance is often used to drive the motor winding insulation. To further improve the corona resistance and insulating properties of PI wire enamel varnish, in this paper, firstly, fluorene groups with a rigid conjugated structure were introduced into the molecular chain of the PI film by molecular structure modulation, and then uniformly dispersed alumina nanoclusters (AOCs) were introduced into the PI matrix by using an in situ growth process to inhibit the migration of high-energy electrons. The quantum size effect of the alumina nanoclusters was exploited to synergistically enhance the suppression and scattering of energetic moving electrons by PI-based composite films. The results show that the breakdown field strength of the PI-based composite film (MPI/1.0 vol% AOC) reaches 672.2 kV/mm, and the corona resistance life reaches 7.9 min, which are, respectively, 1.55 and 2.19 times higher than those of the initial PI film. A PI-based composite film with excellent insulating and corona resistance properties was obtained.

HP3O algorithm-based all electric ship energy management strategy integrating demand-side adjustment

To tackle the energy management challenge that integrates power generation scheduling and demand-side adjustment for all-electric ship in uncertain marine environment, a hybrid penalized proximal policy optimization algorithm (HP3O)-based energy management strategy is proposed. First, demand-side adjustment, which involves adjusting the power of the ship's electric propulsion motors and flexible service loads, is integrated into the energy management problem. Second, HP3O algorithm is employed to obtain both continuous and discrete variables simultaneously. It utilizes a continuous actor network to obtain continuous variables, such as the generator's power and ship cruising speed, while employing a discrete actor network to determine discrete variables, i.e., the on/off status of the generators. Third, to handle complex constraints reasonably, the energy management problem is formulated as a constrained Markov decision process (CMDP), and an action mask mechanism is also integrated into the energy management framework to make agent's actions more reliable. The simulation results of an all-electric cruise ship validate the effectiveness and superiority of the proposed strategy in achieving near-optimal scheduling while satisfying operation constraints. Furthermore, a case study on a hybrid diesel-electric ferry confirms its generalization performance.

Research on energy-saving control of agricultural hybrid tractors integrating working condition prediction.

To address the issues of tractors using too much fuel and not being energy efficient, a predictive control strategy based on Pontryagin's minimum principle integrating working condition prediction is proposed for agricultural hybrid tractors. The Dongfanghong 1804 tractor is being used for research. Firstly, the main parameters of the hybrid drive system are determined and modeled. Secondly, based on the adaptive cubic exponential forecasting method, the working condition information for a period of time in the future is predicted through historical working condition information. Furthermore, combining the predicted working conditions information, the goal is to minimize the total energy consumption cost of the entire machine. Motor power and diesel engine power are control variables. The battery state of charge is a state variable. Subsequently, a predictive control strategy based on Pontryagin's minimum principle integrating working condition prediction is proposed. Finally, the simulation test is carried out based on the MATLAB simulation platform. Research indicates: under plowing conditions, compared with the power following control strategy, the proposed predictive control strategy can effectively manage the performance of the diesel engine and motor, ensuring they operate at their most efficient level. The total energy consumption costs of the power following control and predictive control strategies are 37.17 China Yuan (CNY) and 33.67 CNY, respectively. The cost of energy used is decreased by 9. 42%, which helps make tractor field plowing more efficient and economical.

An inimitable Elman network based fire hawk controller and skill optimized power tracker with ultra gain converter for improving the performance of PV tied EV systems

The need for Electric Vehicles (EVs) has grown as a result of the issues brought on by fossil fuels. To keep up with the rising demand for electricity, the power source is equipped with additional renewable energy sources (RES). In order to meet the demand for energy, the solar photovoltaic (PV) system is deployed in this work. The novel contribution of this paper is the design and development of unique converter and regulating models to improve the overall power tracking performance, voltage gain, power quality, motor performance and efficiency of the PV-EV system. Here, a cutting-edge MPPT controlling model known as, Skill Optimized Power Tracker (SOPT) is developed in this work to maximize the quantity of electrical energy generated by solar panels in the context of changing temperature and irradiance. This work effectively increases PV output by adopting an innovative Ultra high gain converter, which increases voltage gain efficiency with less switching stress and power loss. In particular, this endeavor develops a unique Inimitable Elman Network based Fire Hawk Controller (IEFC) to improve the power quality and motor performance of EVs. Moreover, the simulation results of the proposed SOPT-IEFC controlling model and Ultra-high gain converter are validated through an array of performance measures including overall efficiency (99%), THD (1.05%), and motor speed (1200 rpm).

Numerical simulation and experimental investigation of lattice-apron compact spinning with an air guide

The four-roller compact spinning system is widely used today and is considered an improvement over traditional ring spinning because of its excellent yarn properties. Reducing energy consumption in compact spinning has always been a key issue for the textile industry. This paper proposed a method for installing an air guide on compact spinning to reduce energy consumption. Four types of air guides were designed with different side shapes (Type-N, Type-L, Type-R, and Type-LR), and the airflow characteristics in the converging zone were analyzed using numerical simulation. In addition, high-speed photography technology and image-processing technology were used to study the dynamic state of the fiber bundle in the flow field of the converging zone. The effectiveness of the preferred solution of the air guide was also verified by spinning experiments. The results revealed that the best air guide was Type-LR, achieving a 3.7% reduction in yarn hairiness even after a decrease in negative pressure by 800 Pa and a 58.4% reduction in power of the fan motor, surpassing the yarn quality observed without any air guide.

The Effect of Task-Oriented Training and Progressive Resisted Exercise on Upper Limb Function and Quality of Life in Chronic Stroke Patients

Introduction: Stroke is defined as a neurological deficit subjected to acute focal injury of the Central Nervous System (CNS) due to vascular cause. The cause may be several embracing cerebral infarctions. Stroke is the third leading cause of death and the most common cause of disability among adults. Many studies have shown that motor impairment is a common factor leading to disability in stroke survivors. Improving the deficient motor power and strategies will reduce motor disability (Task-oriented training is given mainly for improving Functional performance). Need for the Study: Studies have shown a significant effect on motor function post-stroke with several techniques like conventional exercise, Proprioceptive Neuromuscular Facilitation (PNF), and Brunnstorm techniques. The effect of the treatment was significant because the weak muscles were strengthened, and the tight muscles were relaxed. However, there is a scarcity in the literature related to the effect of task-oriented training on motor performance in subjects with chronic stroke. Hence this study is undertaken. Methods: The study was carried out in the OPD of the College of Physiotherapy- Dayananda Sagar University-Bangalore on a sample size of 40 subjects for 6 months. It was a randomised clinical trial where subjects were split into two groups with task-oriented training and Progressive Resisted Exercises (PRE). The therapy was 30 minutes/session for 5 days /week for 4 weeks. Results: Task-oriented training showed significant changes within the group from pre- and post-trial and between the group effects, thus demonstrating it to be more significant in enhancing motor performance compared to mere strengthening exercises. Conclusion: The current study demonstrates that task oriented training compared to Progressive Resisted Exercises (PRE) works efficiently in improving upper limb functions and quality of life. The improvement in motor performance varied but the Chedoke Arm and Hand Activity Inventory and Stroke Impairment Scale showed quite significant improvement post-rehabilitation with task-oriented training compared to Progressive Resisted Exercise.

Comparison and analysis of power and torque performance of PMSM with different rotor structures

In this paper, according to the double reaction principle of permanent magnet synchronous motor (PMSM), the power, torque, and power angle characteristics are derived theoretically. Four motor models of tangential type, radial type, V-type, and U-type PMSM are established by finite element software. The magnetic flux density of the motor is analyzed in detail. At the same time, performance indicators such as efficiency, power factor, and air gap power of permanent magnet synchronous motors were calculated and evaluated, further improving the accuracy and credibility of the research. Based on the comparative study of the analysis results, the advantages and disadvantages of electromagnetic performance corresponding to different rotor structures are obtained, providing the design basis of PMSM.

Power Advance Prediction to Improve the Energy Utilization Efficiency of Motor-Driven System Considering Multilink Time-Delay

In the motor-driven system, the utilization of a supercapacitor energy storage unit contributes to energy saving. However, the multi-link time-delay in the system makes the supercapacitor unable to immediately track and respond to the sharp change of motor power. This will cause the large DC bus voltage fluctuation, the peak current at the power grid side, and unnecessary energy loss. In this paper, a power advance prediction control strategy considering multi-link time-delay is proposed. The multi-link time-delay mechanism in the system is analyzed, in particular for the different conditions of motor power change. Afterward, with the motor speed, torque, and the inverter acceleration/deceleration rate obtained in advance, the motor steady power and power change rate are predicted. In the dynamic process, by adjusting the tracking rate in real time, the motor reference power function is derived. The reference current of the supercapacitor is given online, so as to match the power between the motor and the energy storage unit. Both simulation and experimental results verify the rationality and validity of the proposed control strategy. In the dynamic process, the system stability and energy utilization are successfully improved in comparison with multi-parameter collaborative power prediction control and double closed-loop control.

A Decentralized Voting and Monitoring Flight Control Actuation System for eVTOL Aircraft

The emergence of eVTOL (electrical Vertical Takeoff and Landing) aircraft necessitates the development of safe and efficient systems to meet stringent certification and operational requirements. The primary state-of-the-art technology for flight control actuation in eVTOL aircraft is electro-mechanical actuators (EMAs), which heavily rely on multiple redundancies of critical components to achieve fault tolerance. However, challenges persist in terms of insufficient reliability, immaturity, and a lack of a measurable evaluation method. This research addresses these issues by elucidating the design requirements for EMAs in eVTOL aircraft and proposing a systematic design and evaluation approach for EMA architecture. A key enhancement involves the incorporation of decentralized voting and monitoring (VoDeMo) mechanisms within the Electronic Control Units (ECUs) to improve the overall safety of the EMA. The paper introduces an innovative triple-dual redundant architecture for aircraft control effectors, comprising three dissimilar lanes of ECUs and two similar redundant parallel channels of power electronics and motors. The design is synergistically supported by a comprehensive evaluation that incorporates quantifiable Model-Based Safety Assessment (MBSA), utilizing both physical simulation and logical safety models. Hardware-In-the-Loop (HIL) tests are conducted on a constructed prototype to validate the proposed architecture.

Towards sustainable water pumping systems: Integration of particle swarm optimization and direct torque control PSO-DTC

This research paper focuses on the optimization of solar water pumping systems (SWPS) by combining the particle swarm optimization (PSO) technique on the generator photovoltaic (GPV) side and direct torque control (DTC) on the pump motor side. The integration of a maximum power point tracking system (MPPT-PSO) represents a significant advance, enabling maximum power to be extracted from the GPV whatever the weather conditions. The main objective is to improve the energy efficiency of the SWPS system by maximizing the electrical power dedicated to the pumping system. At the same time, the application of DTC to the pump motor aims to optimize the use of the energy generated by the GPV. This intelligent approach adjusts the motor power according to the power extracted from the GPV, thus avoiding unsuitable profiles for the pumping system. This results in better power quality, longer system life and improved tracking speed, which in turn improves the pump's rotational speed, which in turn improves the flow rate of the water pumped. The results of the study confirm that the combination of PSO-DTC approaches improves the overall performance of the SWPS. These improvements persist under different climatic conditions.

Perencanaan Daya Dan Perbedaan Jenis Bantalan (Bearing) Pada Mesin Pengupas Kulit Kacang Tanah Kapasitas 60 Kg/Jam

Appropriate technology is technology that is right on target to be used and developed by the community. The development of technology aims to ease human work. The Indonesian state, with the majority of its population working as farmers, really needs appropriate technological innovation to increase agricultural productivity. In this case, the author highlights the low productivity of peanut farmers in Indonesia. On the other hand, the level of peanut demand is increasing from year to year, but consumer demand cannot be met due to low domestic peanut production. Therefore, this study aims to determine the power and bearing maintenance on peanut shell peeling machines using an electric motor, which uses a Tachometer measuring instrument and is carried out at the Production Laboratory of HKBP Nommensen University Medan located at JL. Sutomo No. 4 Medan. The peanut shell peeling machine is made horizontally with 1 shaft and 40 peeling rods transmitted by a V-belt and pulley using an electric motor that functions to peel peanuts to separate the seeds from the shell. By designing and designing a peanut shell peeling machine, the bearing life used in the peanut peeler machine is 3440.78 and 909.86 hours at a rotation speed of 1382 rpm and 58623.94 and 20877.55 hours at a rotation speed of 795.7 rpm. The faster the engine speed, the enumeration load received by the bearing will be lighter, the slower the engine speed, the heavier the enumeration load received by the bearing. The production capacity that can be produced by this peanut shell peeling machine is 60 kg / hour with a peeling force of 51,012 and AC motor power of 1 Hp with a rotation of 2930 rpm.

COMPARATIVE STUDY OF TRADITIONAL PWM INVERTERS AND MULTILEVELS INVERTERS

The need of higher powers in electrical drives has forced the researchers to develop new power source possibilities. Multilevel inverters have been presented as a cost effective solution for various high voltage and high power applications including power quality and motor drive problems. The traditional pulse width modulated (PWM) Inverter does not completely eliminate the unwanted harmonics in the output waveform. Using the multilevel inverter as an alternative to traditional PWM inverters for electric motor drive applications is investigated. The concept of the Optimized Harmonic Elimination Stepped-Waveform (OHESW) technique for a multilevel inverter is presented. The effectiveness of this technique in minimizing the inverter switching losses and its output voltage harmonic content which cause reducing harmonic losses and torque pulsations of an induction motor fed form is investigated analytically. Comparison between the Selective Harmonic Eliminated PWM (SHEPWM) as a traditional PWM technique for three-level inverter and the OHESW technique for multilevel inverter with regard to the switching losses, harmonic distortion, additional harmonic losses in the motor and the pulsating torques is also presented.

Energy management of electric vehicle using a new strategy based on slap swarm optimization and differential flatness control

Optimal energy management of electric vehicles using slap swarm optimization and differential flatness control has been proposed. A battery–supercapacitor power system is adopted. Each source is connected in parallel to the DC-bus using DC–DC bidirectional converters and supplies a synchronous reluctance motor (SynRM) based drive. The proposed EMS fundamental forces lie in using a combination of complementary proprieties of two approaches, a Slap Swarm optimization Algorithm and Differential Flatness (DF). With a fast optimization mechanism, the Slap Swarm optimization algorithm allows adapting in real-time conditions the DF gains to optimize the system performances. On its side, DF uses predefined trajectories respecting the physical proprieties of the system, which is a powerful tool to guarantee the dynamic constraints of the sources when ensuring desired robust control proprieties. To check the feasibility and performance of the suggested EMS, comprehensive processor-in-the-loop co-simulations of the electric vehicle were carried out using the C2000 launchxl-f28379d DSP board. The main goal of the proposed EMS is to guarantee the DC-bus stabilization, reducing the DC-bus voltage ripples (Δv = 5 V) and the voltage overshoots 15 V (3.2%), respect the source dynamics, and satisfy the SynRM motor power demand. Furthermore, the algorithm minimizes induced harmonics by the drive (10.49%), reducing the battery current ripple by 17.15A, thereby enhancing the battery lifecycle.

A COMPARATIVE STUDY OF MEDIAL EPICONDYLECTOMY VERSUS ANTERIOR TRANSPOSITION IN THE MANAGEMENT OF ULNAR NEUROPATHY, AT ELBOW IN HANSEN’S DISEASE

Objective: The objective of the study is to know the better results after medial epicondylectomy with regards to sensory recovery and patient satisfaction. Methods: We operated on a total of 36 patients of Hansen’s disease suffering from ulnar nerve neuritis at the elbow from 1999 to 2003. They were alternately operated either by epicondylectomy or anterior transposition by the same unit. All these patients had either completed MDT or were on MDT for a minimum of 2 months before surgery. Results: The mean age of the patient was 28.6 years (range 15–45 years). The average follow-up was 3.2 years (range 1–5 years). The male-to-female ratio was 7: 4. The patients who were operated on within 4 months of the onset of symptoms showed a satisfaction rate of 70% as compared to 50% in patients who were operated on after 4 months of the onset of symptoms. Conclusion: Our study showed better results after medial epicondylectomy with regard to sensory recovery and patient satisfaction. There was no statistically significant difference in motor power recovery and post-operative pain, among both procedures none of the procedures had any significant effect on elbow function or stability.

Winding-MMF-based design and investigation of dual-winding hybrid-tooth vernier permanent magnet motor with reduced torque ripple and improved power factor

In this paper, in order to further reduce torque ripple and improve power factor, a new vernier permanent magnet motor is proposed, in which the design concept of dual-winding hybrid-tooth configuration is incorporated. In order to clarify motor torque ripple and power factor, the winding-magnetomotive-force-based design and analysis method is proposed, in which harmonic characteristics are considered as key factors during the magnetic field modulation process. The relationship between harmonics generated by winding MMF, torque ripple, and power factor are investigated. In addition, the split-tooth vernier permanent magnet motor is also investigated as a referenced motor. Detailed comparisons between the DWHT-VPM motor and ST-VPM motor are carried out, including air gap magnetic field, torque, and power factor. Both theoretical and simulation results verify the reasonability of the proposed DWHT-VPM motor, and the effectiveness of the proposed winding-MMF-based analysis method, which provide a new potential research path for the design and analysis of flux modulation motors.

A numerical study of clogging analysis in submersible drainage pump

Erosion of material surface due to collisions with solid particles has become a challenge to several engineering fields. Therefore, it is necessary to effectively design radial flow pumps that mitigate the sediment particles’ clogging effect from the system performance. This study aims to analyse and identify the clogging development of a newly designed submersible pump using computational fluid dynamics (CFD) techniques. The particle trajectory was accounted Tabakoff–Grant erosion model for predicting the clogging impact. The experimental pump performance results obtained by this study were used to validate the numerical results of the submersible pump. Pump results revealed a good agreement between the two marks, especially the head of the pump was obtained at a flow rate of 0.165 m3/min. When considering the motor power factor of 0.78, the pump efficiency was found to be 46%, and the test result was well-matched. Also, for combined cavitation-erosion, the performance characteristics of erosion rate density increase linearly. At a flow rate of 0.16 m3/min, the erosion rate density of the original model was more significant than the revised model. Furthermore, compared to the original model significantly reduced the adverse clogging effects on the impeller blades of the revised model.

RANCANGAN MESIN SIKAT KARPET DENGAN MODIFIKASI TABUNG CAIRAN DETERJEN

Now, washing carpets no longer requires a lot of human power. Just one person can wash carpets on a large scale at the same time as three human workers. By using this carpet brush machine, the job of cleaning carpets will be easier and faster. The aim of designing this machine is a form of innovation and creativity in a carpet brush machine with an electric motor drive. The machine is made with the addition of a detergent channel tube to make work easier and increase efficiency. The working principle of this carpet brushing machine is that when the motor is turned on, a pulley with a size of Ø 76.2 mm will rotate with a rotation of 1400 rpm, followed by a belt with a size of 24 inches to rotate the pulley on the shaft with a rotation of 703.5 rpm with a pulley size of Ø 152 mm. The rotation will be continued by the shaft, and the brush will rotate to clean up dirt or stains on the carpet. In making this machine, we obtained a motor power of ½ HP and a rotation of 1400 rpm. This machine has dimensions of 580x380x980 mm and uses a belt and pulley transmission with brush components. This carpet washing machine is used for MSME businesses (micro, small and medium businesses)