Electromechanical Technology Research Articles

Electromechanical braking systems and control technology: A survey and practice

Electromechanical braking systems and control technology: A survey and practice

Temperature compensation method for impedance signals of bolt loosening under temperature varying conditions using TransUnet

Abstract Piezoelectric transducer based electro-mechanical impedance technology is an effective and reliable detection method for bolt structure loosening under external load. However, temperature change usually causes some non-loosening factors to change the impedance spectrum of bolt structure. In order to reduce the misjudgment of loosening damage caused by temperature change, it is necessary to construct a temperature compensation model for impedance spectrum. In this paper, the convolutional structure in U-net and Transformer are effectively combined to form a TransUnet deep neural network structure suitable for input and output of one-dimensional data. Using impedance data between 10 °C and 50 °C and temperature as input to the network. After convolution operation, the convolutional block attention module is embedded in the U-net to optimize the encoder transmission characteristics and enhance the performance of the skip connection in the traditional U-shaped structure. The temperature compensation rate (TCR) is defined to measure the effect of temperature compensation. Then the lightweight convolutional neural network structure is used to recognize the bolt loosening damage of the compensated impedance signal. The generalization ability of the TransUnet was tested using impedance data that is not in the training dataset. The results show that the TransUnet proposed in the paper can realize the temperature compensation of multi-peak impedance signals. The TCR and recognition accuracy of bolt loose damage reaches reach 0.003 and 95.7%, respectively, which is 11% higher than that without temperature compensation. At 60 °C, the TCR and the identification accuracy of loosening damage can still reach 0.0055 and 90.2%, respectively, which show that the TransUnet has strong generalization ability.

Implementing innovation in project-based learning in electro-mechanical engineering education

This study investigates the implementation of project-based learning (PBL) in electro-mechanical engineering education, emphasizing the modeling and application of an innovation process to enhance student engagement, motivation, and employability. Initially, the innovation process was systematically modeled using Structured Analysis and Design Technique (SADT) to manage and organize skills, knowledge, and resources effectively. This model was subsequently applied in an educational experience focused on highly technical aspects such as energy conversion modeling, mechanical improvements, material science, and efficiency analysis. These aspects were primarily applied in the context of permanent magnet synchronous machines employed in electric vehicle (EV) axles. The SADT modeling allowed for a clear delineation of the innovation phases, ensuring a structured approach to project execution. Statistical analysis of the PBL approach indicated significant improvements in student performance, with a 25% increase in problem-solving skills and a 30% enhancement in critical thinking abilities. The case study demonstrated that industry-oriented projects significantly boost student satisfaction, particularly in problem definition and solution identification, leading to a more engaging and effective learning experience.

Research on Financial Fraud Based on Changyuan Group's Acquisition of Changyuan and Eagle

In recent years, with the development of the China’s economy, in order to seek business growth points, the number of mergers and acquisitions of enterprises has increased rapidly. In the process of mergers and acquisitions, there are often some financial fraud behaviors, such as fictitious income and false statements, to push up the merger and acquisition premium, which will greatly damage the stability of the financial market and the legitimate rights and interests of investors. This paper adopts the financial fraud case of Changyuan Group's acquisition of Shanghai Heying Electromechanical Technology Co., LTD. in 2016 as an example, and combines the fraud triangle theory to analyze the motivation of financial fraud. According to the punishment announcement and other information, this paper analyzes the identification of financial fraud information with a three-dimensional model, analyzes and presents the consequences of financial fraud, and proposes the suggestions and enlightenment for subsequent M&A cases.

A Knowledge Graph-Based Implicit Requirement Mining Method in Personalized Product Development

In the context of crowd innovation and the generative design driven by big language models, the exploration of personalized requirements has become a key in significantly improving product innovation, concept feasibility, and design interaction efficiency. To mine a large number of vague and unexpressed implicit requirements of personalized products, a domain knowledge graph-based method is proposed in this research. First, based on the classical theory of design science, the characteristics and categories of personalized implicit requirements are analyzed, and the theoretical basis of implicit requirement mining is formed. Next, in order to improve the practicability and construction efficiency of the domain knowledge graph, a more informative ontology is constructed, and better-performing natural language processing (NLP) models are proposed. Then, a multi-category personalized implicit requirement mining method based on a knowledge graph is proposed. Finally, a platform was developed based on the technical solution proposed in this study, and an example verification was conducted in the field of electromechanical engineering. The efficiency improvement of the training model proposed in the research was analyzed, and the practicality of implicit requirement mining methods are discussed.

Screw transmission structure based triboelectric–electromagnetic hybridized generator for efficiently harvesting energy from a single mechanical stimulation

Among various electromechanical conversion technologies, the triboelectric-electromagnetic hybrid generator (TEHG) stands out with its capacity to operate across a wider frequency range. Nevertheless, extracting more electricity from a single mechanical stimulation remains a significant challenge. In this work, we propose a screw transmission structure based TEHG (ST-TEHG) that converts the contact-separation motion into continuous rotation. This transformation enables the device to produce multiple pulse outputs in both compression and rebound processes. Specifically, the threaded barrel is designed to rotate continuously under the action of the pressing lever. Excess energy is stored as elastic potential energy in the tower spring, which then initiates the threaded barrel’s reverse rotation upon the release of external force. Through systematical optimization of the screw transmission structure and device’s performances, ST-TEHG achieves an energy utilization efficiency that is 70.86 times than the device with conventional contact-separation mode in an operating cycle. The developed ST-TEHG demonstrates promising applications in smart factories for indoor conditions monitoring, such as temperature and humidity, assembly line monitoring, and hazardous zones warning. This screw transmission structure sets a precedent for highly efficient mechanical energy harvesting, propelling the practical advancement of hybrid generators.

Intelligent Algorithm Operation and Data Management of Electromechanical Engineering Power Communication Network based on the Internet of Things

Intelligent Algorithm Operation and Data Management of Electromechanical Engineering Power Communication Network based on the Internet of Things

Mathematical model for calculating steady-state conditions and static characteristics of salient-pole synchronous machines

Salient-pole synchronous machines occupy a paramount position in both the generation and consumption of electrical energy. Recent achievements in the design, manufacturing, and operation of salient-pole synchronous machines are the result of successful advancements in the fields of electromechanical engineering technology, semiconductor technology, and mathematical modeling. To calculate the nominal steady-state operation of salient-pole synchronous machines and their static characteristics (no-load, angular, V-shaped, regulatory, and external), a mathematical model has been developed. Its computer implementation enhances the technical and economic performance of synchronous pole machines. During the creation of the mathematical model, the following assumptions were made: the magnetic field of the machine is conditionally divided into a working field and scattered fields; the magnetic field of the machine is flat and parallel; the magnetic field in the active layer has only a radial component, while in the stator and rotor yokes, only a tangential one; the winding conductors are located in an infinitely thin layer and distributed along the slot according to a harmonic law; losses in the steel are absent. To create the mathematical model of salient-pole synchronous machine, a system of equations for the electrical and magnetic state is formulated. To obtain equations with coefficients independent of the rotor position, the coordinate transformation method (transformation to the dq0 rectangular coordinate system stationary with respect to the rotor) was employed.

Electro-Mechanical Engineer Degree Level Apprenticeships: An initial reflection on improving distance-learner engagement and motivation

This concept paper discusses the proposed implementation of learning supports via motivational scaffolding as method for improving engagement and motivation of Electro-Mechanical Engineering degree-level apprentices at the University of Nottingham. The paper focuses on a block-release programme where a large proportion of learning occurs online asynchronously. These apprentices have generally entered degree-level study from background vastly different from typical undergraduate students. Combined with the management of their normal job with their university study, there is a step-change in mind set required to be successful on the programme. Anecdotal feedback has previously suggested that around half of the apprentices on the programme found it challenging to settle into a successful work pattern within the first 6 weeks of the programme. The proposed intervention aims to provide learners with the environment to learn and excel rather than spending time finding the study materials, or working out what is required of them. The intervention was developed in conjunction with a focus group of apprentices and a scoping survey released to all cohorts on the programme. The success of the intervention will be evaluated over the next academic year through further feedback surveys, focus group discussions and comparison of grades and engagement of online content.

Application Strategies of BIM Technology in Highway Electromechanical Engineering

The transportation system is vital for social and economic development. With the rapid economic development, the demand for highways has been increasing. Mechanical and electrical engineering is a crucial part of highway construction, affecting the expressway’s later use. Applying building information modeling (BIM) technology in highway electromechanical engineering allows for the visibility and simulation of mechanical and electrical engineering construction, providing scientific guidance for construction. In this research, the author analyzes the advantages of BIM technology in highway electromechanical engineering and the basic composition of electromechanical engineering. The research proposes strategies and cases for applying BIM technology in highway electromechanical engineering. The ultimate goal of this research is to improve the construction of highways in terms of electromechanical engineering.

Fractional-Order Least-Mean-Square-Based Active Control for an Electro–Hydraulic Composite Engine Mounts

For the vibration of automobile powertrain, this paper designs electro–hydraulic composite engine mounts. Subsequently, the dynamic characteristics of the hydraulic mount and the electromagnetic actuator were analyzed and experimentally studied separately. Due to the strong nonlinearity of the hybrid electromechanical engine mount, a Fractional-Order Least-Mean-Square (FGO-LMS) algorithm was proposed to model its secondary path identification. To validate the vibration reduction effect, a rapid control prototype test platform was established, and vibration active control experiments were conducted based on the Multiple–Input Multiple–Output Filter-x Least-Mean-Square (MIMO-FxLMS) algorithm. The results indicate that, under various operating conditions, the vibration transmitted to the chassis from the powertrain was significantly suppressed.

Teaching in a time of pandemic: The case of the EMET Program at Pennsylvania State University - Fayette

The author shares his experiences of university teaching during the time of restrictions imposed on teaching and learning modes due to a pandemic. The relative scarcity of literature analyzing the response in the fields of science and engineering to the pandemic served as motivation. After providing general background information about the pandemic’s impact on educational systems worldwide, the article provides qualitative research with a narrative model for a case study of an engineering program at an American university. The analyzed case concerns the teaching and learning methodologies implemented in an electro-mechanical engineering technology bachelor’s degree program at Pennsylvania State University – the Fayette campus in the academic years 2020-22. Pennsylvania State University’s chosen teaching modes in the time of the pandemic to be used by instructors provide an example of adaptability of a higher education institution to the changing teaching and learning circumstances. The pedagogical approach to preparing, delivering, and assessment of learning effectiveness in engineering courses with a laboratory component is described. The article also shows how to use the learning management system, Canvas, with its analytical utility tool, to improve effectiveness and responsiveness of the teaching and learning process. The shortcomings and unexpected benefits of learning online pedagogy are shared and discussed. To assess the students’ perception and the study mode and their preferences in this regard, an anonymous, closed-ended, nominal-polytomous questionnaire was conducted, and its findings are analyzed. Further, to compare the students’ preferences as regards study modes depending on the academic discipline, engineering students were contrasted with students studying business as their major. The surveys also provide answers to trends in the longer term in students’ expectations for delivery of programs by higher education institutions.

ENERGY EFFICIENCY OF A HYBRID ROAD TRAIN WITH AN ACTIVE SEMI-TRAILER FOR ROAD CONSTRUCTION WORK

The previous experience of creating experimental road trains with an active trailer and semi-trailer is analyzed against the background of modern technological capabilities of transport engineering and the logistical needs of modern construction. The expediency of implementing the concept of a road train with an active trailer based on modern electromechanical technologies is shown. The purpose of the study is to increase the energy efficiency of road trains used in construction for transporting long-length objects (beams, piles, bridge trusses, panels, etc.) by using an active trailer link with an electromechanical drive. The study solves the problem of modeling the movement of road trains with passive and active semi-trailers and comparing their energy efficiency and safety indicators. The methods of modeling the movement of cars and road trains, characteristic of the theory of movement of transport vehicles, approaches of theoretical mechanics and applications of differential calculus, applied numerical modeling in the SimuLink environment are used. A mathematical model has been obtained that allows calculating the energy efficiency of a road train when using passive (towed) and active semi-trailers. The cycle of the road train movement has been developed and tested for use in severe road conditions (construction with weak road infrastructure, forest complex, transportation of special cargo). The implementation of the computational model by means of the SimuLink software package is proposed. Based on the simulation results, conclusions are made on the energy efficiency and safety of road trains with an active trailer link with an electromechanical transmission.

The Construction of the Curriculum System of Transportation Engineering Electromechanical Professional Group Based on Guizhou's Transportation Characteristics

The professional group of traffic engineering electromechanics has the same professional basic platform courses with the core of engineering machinery application technology, the construction of traffic engineering electromechanical related equipment and facilities as the service object, and the realization of intelligent transportation electromechanical engineering as the goal to realize the cross-border integration of technical skills of the professional courses.Under the guidance of the curriculum concept of "wide caliber + thick foundation", it meets the needs of students' personality development and professional cross-border integration.It has formed a curriculum system in which the foundation of majors is connected, the core courses are separated and the extension courses are extended, cross-boundary, integrated and inter-selected.

Review of Power Supply and Distribution Construction Technology for Highway Electromechanical Engineering

In recent years, China has made significant progress in the construction of highways, resulting in an improvedhighway network that has provided robust support for economic and social development. However, the rapid expansion of highway construction, power supply, and distribution has led to several challenges in mechanical and electrical engineering technology. Ensuring the safe, stable, and cost-effective operation of the power supply and distribution system to meet the diverse requirements of highway operations has become a pressing issue. This article takes an example of a highway electromechanical engineering power supply and distribution construction project to provide insight into the construction process of highway electromechanical engineering power supply and distribution technology.

Повышение износостойкости цилиндрических поверхностей трения комбинированной электромеханической обработкой

Processing technology and technological equipment for the formation of a wear-resistant surface layer by implanting materials based on tungsten carbide (WC), are viewed. The effect of implanted WC powder on the formation of gradient wear-resistant structures in the friction surface of carbon steel formed during the implementation of combined electromechanical processing (WRCEMP) technology, has been studied. Resulting from heat and pressure impact in the zone of plastic deformation, intensive austenization of steel occurs with dissolution of WC powder and subsequent formation of highly dispersed composite structures caused by the decomposition of undercooled tangstem-supersaturated austenite. Combined comparative friction and wear tests were carried out for structural steel 45 with a graded structure of a hardened surface and rather expensive and technologically- difficult to obtain modern wear-resistant coatings and materials. The issue of WRCEMP technology practical application used for the «axis of satellite – satellite» friction pair is viewed. An assessment of the durability increase of the «axis of satellite – satellite» interface during the implementation of the considered processing methods and innovative technology was taken. Recommendations for the use of combined electromechanical processing technology at machine-building enterprises as a highly effective way to ensure and improve the performance of machine parts at the stage of their manufacture are given.

Machine learning-based identification of cybersecurity threats affecting autonomous vehicle systems

With the advancement of humanity, transportation and trade activities have increased, leading to the development process of basic land vehicles as more than physical power became necessary. Hand tools were developed with the invention of the wheel, followed by animal-powered vehicles, and then steam engine technology. After the advancement of electromechanical technologies, today's modern vehicles have been developed. Those who used these vehicles thought of transferring control from the human to autonomous driving systems to solve their safety and comfort problems. Today, instead of fully autonomous systems targeted for the future, autonomous driving support systems have been developed. Although these systems aim to increase the safety and comfort of passengers, they can become an easy target for malicious people due to network technologies and remote connection features. The most effective method of protection from these attackers is to conduct vulnerability analysis against newly emerging threats for the systems we use and to rectify identified vulnerabilities. In this research paper, the weaknesses of wireless communication towards remote connection usage of the mini electric autonomous vehicle were investigated, which we developed and produced its mechanics, electronics, and software. In this context, a test environment was created, and the problems and threats in autonomous driving technology were revealed through attacks (Deauth Attack, DoS, DDoS and MitM) made on the test environment. Following the exposed vulnerabilities, studies were conducted for the detection of these attacks using Artificial Intelligence. In the study, different algorithms were used to detect the attacks, and random forest algorithm successfully detected 96.1% of attacks. The main contribution to the field of cybersecurity in autonomous vehicles by providing effective solutions for threat identification and defense.

Modelling and cycle‐by‐cycle control of an electromechanical engine valve actuator with impact speed limiter based on hydraulic damper

AbstractVariable valve actuation (VVA) systems based on electromechanical valve actuators (EMVAs) enable a flexible operation and management of internal combustion engines that results in a reduction of pollutant emission and fuel consumption while improving engine power and efficiency. However, to achieve the benefits promised by EMVAs, it is of utmost importance to guarantee the catch of the valve by the system magnets with an acceptable impact speed of the valve at the end‐strokes. Valve catching failures can severely damage engine valves while high impact speeds induce mechanical wear and unacceptable noise. The soft landing control of the valve at the end‐strokes is challenging because of system nonlinearities, parameter uncertainties, and external disturbances. The complexity of the control design increases further when industrial cost‐effective solutions are sought. This paper presents a novel solution for reducing the impact speed of the valve without the use of costly position valve sensors. The proposed solution leverages on a small hydraulic damper (HD) embedded into the EMVA and a feedback cycle‐by‐cycle controller. The passive element reduces the impact speed while the controller adjusts at every engine cycle the EMVA coil currents based on pressure peaks detected in the HD to guarantee valve catching while steering the impact speed toward its minimum. The design of the controller exploits a physics‐based model that maps the pressure peak in the HD onto the impact speed and a gradient descent algorithm is adopted searching the minimum. The closed‐loop permanence is assessed in simulation by using an experimentally validated EMVA model and considering detailed dynamics of the HD. Numerical results show the ability of the proposed control architecture to reduce the impact speed and its robustness to parameters variations (oil temperature) and external disturbances (gas pressure forces).

TSR-Based optimization using auxiliary motor in Tidal Energy Conversion System: An experimental study

The fluctuating nature of renewable energy is one of the factors that reduces its ability to compete with traditional forms of power generation. In the context of ocean current energy, tidal oscillations are the primary reason for the average power generation being significantly lower than the designed value. Increasing energy production through optimization is necessary for ocean current energy to compete successfully in the market. This experimental study is intended to increase electrical power production through electromechanical engineering with tip speed ratio (TSR) control using auxiliary motors, and adapts the Motor Generator Pair (MGP) approach, where the generator and motor are connected in series. A physical model of a Tidal Energy Conversion System (TECS) was developed. The system consists of a turbine simulator in the form of an AC motor with separate torque and speed controls, torque sensors, a hydraulic transmission system, and auxiliary motors. With this system, a typical tidal turbine profile was built and simulated TSR-based optimization control. The results of this optimization control show that power production can be increased through optimal tip-speed ratio control.

Equations of physics that have most important impact on electromechanical engineering

Equations of physics that have most important impact on electromechanical engineering