CAE Method Research Articles

Development of S-domain experimental correlation thermal control model and rapid enumeration PID tuning method for uncooled Laser chip module

Uncooled semiconductor lasers are sensitive to ambient temperature variation which makes the PID thermal control for the uncooled semiconductor is complicated. In this work, a kind of enumeration PID tuning method based on S-domain experimental correlation thermal control model for the uncooled semiconductor lasers is introduced. Numeric validation and enumeration PID tuning of S-domain experimental correlation model for uncooled semiconductor are conducted. Results shows that the control accuracy prediction result of the S-domain experimental correlation model has a deviation of 3.6% in contrast with CAE simulation result. The PID tunning speed of rapid enumeration S-domain experimental correlation method is 17,000 times that of CAE method.

Analytical Solution of Ice–Rock-Model Stress Field and Stress Intensity Factors in Inhomogeneous Media

The stress distribution and fracture parameter calibration of ice–rock models are important aspects of studying rock properties at high altitudes and latitudes. However, progress in ice–rock modeling has been slow and singular, and it is limited due to the discrete nature of rocks and the applicability of fracture mechanics. In this study, a circular inhomogeneous ice–rock model is proposed for the first time, and a method is provided for calculating the stress field of the model under biaxial loading. A method for calculating the single-crack stress intensity factor of the model subjected to biaxial compressive loading is also provided. The novelty of this work is that the inhomogeneous ice–rock model is treated as a superposition of two models, namely, a circular pore plate and circular ice, according to the superposition principle. The key is that the stress field distribution law of the ice–rock model is obtained based on the basis of the displacement continuity of the ice–rock interface. The analytical and approximate solutions of the stress intensity factor of a single crack were also obtained by considering the normal phase effect of the crack surface and combining the stress distribution law of the ice–rock model. Comparison with the CAE method was made to verify the correctness of the stress field and stress intensity factor calculation methods. The evolution laws of lateral pressure coefficients, the elastic modulus ratio of ice and rock on the stress field, and the stress intensity factor were analyzed. The effects of lateral pressure coefficients, elastic modulus ratios, and crack distributions on the failure modes were investigated using the extended finite element method (XFEM). This study can provide a theoretical basis for the evaluation of mechanical properties and prediction of the failure modes of frozen rock bodies.

Membrane-type acoustic meta-material-based low-frequency noise reduction design and verification for transformers

In order to effectively reduce the radiated transformer noise, high sound insulation membrane-type acoustic meta-materials is designed based on CAE method and the main noise reduction frequency is typical 100Hz to make the maximum noise reduction of transformer. After a scale-reduced 500kV transformer semi an-echoic room noise tests comparison, the results show that the membrane-type acoustic meta-materials effectively suppressed the tonal noise of the transformer, providing a solid application foundation for the noise reduction design of transformer in the future.

Optimal Deep Learning Driven Intrusion Detection in SDN-Enabled IoT Environment

In recent years, wireless networks are widely used in different domains. This phenomenon has increased the number of Internet of Things (IoT) devices and their applications. Though IoT has numerous advantages, the commonly-used IoT devices are exposed to cyber-attacks periodically. This scenario necessitates real-time automated detection and the mitigation of different types of attacks in high-traffic networks. The Software-Defined Networking (SDN) technique and the Machine Learning (ML)-based intrusion detection technique are effective tools that can quickly respond to different types of attacks in the IoT networks. The Intrusion Detection System (IDS) models can be employed to secure the SDN-enabled IoT environment in this scenario. The current study devises a Harmony Search algorithm-based Feature Selection with Optimal Convolutional Autoencoder (HSAFS-OCAE) for intrusion detection in the SDN-enabled IoT environment. The presented HSAFS-OCAE method follows a three-stage process in which the Harmony Search Algorithm-based FS (HSAFS) technique is exploited at first for feature selection. Next, the CAE method is leveraged to recognize and classify intrusions in the SDN-enabled IoT environment. Finally, the Artificial Fish Swarm Algorithm (AFSA) is used to fine-tune the hyperparameters. This process improves the outcomes of the intrusion detection process executed by the CAE algorithm and shows the work’s novelty. The proposed HSAFS-OCAE technique was experimentally validated under different aspects, and the comparative analysis results established the supremacy of the proposed model.

Prediction of Automobile Wiper Motor Noise Based on Support Vector Machine with Vibration Sensors.

Wiper motor noise has an important impact on vehicle comfort. Accurate prediction of wiper motor noise can obtain motor NVH performance in motor manufacturing or earlier stage and provide necessary support for NVH performance design of parts and vehicles. However, the prediction accuracy of wiper motor noise by the traditional CAE or testing method is low. Data-driven technology provides a new idea for wiper motor noise prediction with its advantages of high efficiency and high precision. This paper studies the wiper motor noise prediction algorithm based on the motor vibration signal, respectively, using the transmission path analysis theory and the support vector machine theory, and carries on the test verification and comparative analysis of the effect. The results show that the method based on support vector machine is more accurate in the prediction of wiper motor noise and has higher practical engineering value.

成形-相変態連成CAEによるホットスタンプ部材の形状予測

The hot stamping method is established for manufacturing high-strength automotive parts with good shape fixability. Recently, the hot stamping method has been applied to higher performance parts with tailored properties. CAE is indispensable in designing such parts. For designing hot-stamped parts, the forming simulation must be coupled with thermal analysis considering the temperature effect on formability. The final shape need not necessarily be predicted because of its good fixability. However, in high-performance parts with tailored properties, it is important to predict how the final shape is affected by phase transformation. To predict the final shape of hot-stamped parts, a CAE method that takes into account phase transformation effects has been developed. The accuracy of the calculation of the final shape by the CAE method was investigated. Hot-stamping experiments were carried out to obtain parts of different shapes by cooling control, and the CAE analysis of the final shape for each experimental condition was conducted. It was clarified that the final shape was varied by changing the cooling process, and that the results of CAE including phase transformation were in good agreement with the tendency of shape change in cross section.

Optimisation analysis of reinforced cable distribution on the airship

AbstractReinforced cables are usually installed on flexible airship structures to enhance their load-bearing capability. However, reinforced cables also increase the total weight of the airship. In order to find a balance between large loading-bear capability and light weight, a multi-objective optimisation scheme based on the genetic algorithm NSGA-II is put forward for the reinforced cable distribution on the airship. Firstly, different cable distribution schemes are presented according to engineering experience and the optimal one is determined by load analysis. Then, the CAE method and optimisation analysis are combined to achieve structure design optimisation. The parametric model of the airship structure with reinforced cables is established by ABAQUS secondary development and the load analysis is carried out. Parameter passing and optimisation algorithm are operated by Isight software and the optimisation analysis is conducted based on the NSGA-II algorithm. Finally, we draw some conclusions of the rules of optimised reinforcing cable distribution. The work of this paper has crucial engineering significance for improving performance of the airship structure design.

Comparison of the Renormalization Group and the Realizable k-ε Turbulence Models for Dynamic Performance of HVOF Process with a Coupled Two-Stage CAE Method

Comparison of the Renormalization Group and the Realizable k-ε Turbulence Models for Dynamic Performance of HVOF Process with a Coupled Two-Stage CAE Method

A CAE method for ergonomic assessment of motorcycles’ driver and passenger

The designers of two-wheeled motorcycles, in the phase of setting up a new project, have the need to carry out ergonomic evaluations on both the pilot and the passenger, from which the optimal comfort and control conditions will arise during the future use of the vehicle. Commonly, the most used method is based on the previous experience of the manufacturer and on the comparison with the choices made by the competitors. This article describes a methodology developed in collaboration with the Italian motorcycle brand Aprilia, owned by Piaggio & C., a company world leader in the sector, designed for the setup phase of new vehicles. The method provides a flexible tool, starting from the Enduro segment and for the different users’ body size (expressed in percentiles). The analysis was done on five commercial Enduro motorcycles from different leading competitor manufacturers. The authors used a mixed method based on numerical and experimental data, detected on virtual models, and on report cards made by professional testers. The results have been showed and discussed.

Material Parameters Acquisition and Sound Insulation Performance analysis of Membrane-type Acoustic Metamaterials Applied for Transformer

As a light-weight and ultra-thin artificial material, acoustic metamaterial have more different attributes than natural material. The study of sound insulation for acoustic metamaterial is hot, and the membrane-type acoustic metamaterials supplement the deficiency of linear sound insulation materials. The physical material parameters (young modulus and loss factors)of base material of membrane-type acoustic metamaterials (PVC) is obtained by cantilever beam dynamic measurement method. The acoustic metamaterial sound insulation analysis is simulated by CAE method based on the material parameters that measured. The configuration of the simulation accuracy is measured on impedance tube, and the design work of the acoustic metamaterial sound insulation for transformer is provided. The relationship between sound insulation and the mass on membrane-type acoustic metamaterial at the different frequencies (100Hz to 500Hz) provides the reference to set sound insulation frequency.

Development of Autonomous VTOL UAV for Wide Area Surveillance

The drone was developed with the use of unmanned aircraft systems in the initial military sector based on the combination of aerospace technology and information and communication technologies in a variety of usability, including the civilian sectors. Developed for the field of reconnaissance, it is used in both civilian and police sectors as traffic monitoring and high altitude reconnaissance missions. It is used in broadcasting and surveillance, while continuously expanding into the areas of courier delivery and rescue missions. Based on the convergence of aviation technology such as various SW, sensor and flight control to utilize unmanned system and information communication technology, commercialization of related technology is being developed as a very diverse route. In this paper, we propose and manufacture of a VTOL UAV. Design process referred to the VTOL development process that has been devised by us, and actual building of a UAV also applied the same VTOL development concept. In order to understand the aerodynamic characteristics of the aircraft, we have applied the aerodynamic design theory and used the CAE method that can replace the actual wind tunnel test. We tested the selection method and criteria for the internal modules that make up the UAV, and we were able to assemble the product. FW coding of flight control computer was conducted for VTOL control. In addition, we developed a LTE communication module for the long distance flight, and carried out flight experiments with GCS to observe and respond to the flight situation from the ground. Flight test results showed that stable transition flight was possible with broadband. We could see that the actual performance results were met, compared to our development target values.

CAE methods for plate heat exchanger design

The heat recovery can substantially reduce energy consumption needful for heating or air conditioning of buildings. The aim of work is to develop a simple CAE method for rapid design and optimization of the dimensions of plate heat exchangers for heat recovery. Flow and heat transfer in an air-to-air recuperative counter-flow plate heat exchangers were investigated numerically. Pressure drop and effectiveness were evaluated as functions of inlet velocity for three sizes of real heat exchangers. Obtained data were analyzed, inlet/outlet cross-flow and middle counter-flow parts were investigated independently and data were substituted by suggested functions for Nusselt number and loss coefficients. These functions were used to illustrate the effect of heat exchanger dimensions. It proved that bigger heat exchangers provide higher effectiveness and lower pressure drop for the same flow rate, but also the heat transfer surface is larger. Derived equations which also take the effect of material thickness and plate pitch into account represent a useful tool for design and optimization of recuperative heat exchangers for use in HVAC systems.

Analysis and optimization of drum washing machine vibration isolation system based on rigid-flexible virtual prototype model

In order to improve the calculation accuracy of vibration response in drum washing machine isolation system, a new CAE method is proposed for dynamics analysis and parameter optimization according to the rigid-flexible coupling technology of virtual prototype. With the vector loop algorithm, the motion differential equation of the vibration isolation system is solved based on Lagrange method, and the key parameters that affect the vibration response are acquired. In terms of simulation research, the modal neutral file (MNF) of the shell body is established by the software ANSYS for modal analysis, and it is exported into software platform ADAMS/Vibration to establish the rigid-flexible coupling model. Through the coupling model, the kinetic characteristics are calculated in continuous excitation frequency domain (0-20 Hz). The experimental verification is accomplished by LMS Test.Lab device, of which results shows that the rigid-flexible coupling simulation method is definitely accurate and feasible. Meanwhile, 15 “hot spots” of the shell body are obtained from the ADAMS/Durability module, which can provide an important basis for structure design. Then, the spring stiffness and damping coefficient is synthetically optimized by sensitivity analysis method with 9 time’s iterative calculation, which has a great significance for product development.

CAE Method for Evaluating Mechanical Performance of Battery Packs under Mechanical Shock Testing

CAE Method for Evaluating Mechanical Performance of Battery Packs under Mechanical Shock Testing

Study on Modal Analysis for Motorcycle Frame by CAE Method

In this paper, the modal of motorcycle frame is analyzed by using the analytic method and experimental method. The results show that the dynamic properties of the finite element model are in good agreement with the experiment and the finite element model was reliable and accurate.

An Efficient CAE Method for the Prediction of the Thermomechanical Stresses during Diesel Particulate Filters Regeneration

An Efficient CAE Method for the Prediction of the Thermomechanical Stresses during Diesel Particulate Filters Regeneration

Characteristic Parameters of Cushion in High-Speed Train (CRH) Contribute to Seat Pressure Distribution Analysis

Based on the seat cushions in high-speed train, three main characteristic parameters, surface angle, width and height are involved in this simulation experiment analysis. With this CAE method, a standard buttocks model fit to seat cushion is imported, and the study on seat pressure distribution is taken through characteristic parameters of seat cushions related to different concave surfaces using ANSYS’s finite element analysis, and contribute to much flexible and more adjustable feature points, use seat pressure distribution to determine geometric parameter according to maximum pressure points, the result in this work finally satisfy the standard of optimization, and helps to assist reliability design of seats in high speed train.

다구찌 직교배열법을 이용한 포뮬러 레이스카 전륜 업라이트의 최적설계

Formula race car is generally recognized as a vehicle which is optimally designed for on-road race track with the regulations of race host bodies. Especially, the uprights of suspension system decisively have effects on the performance of cornering and stability of race car's driving performance, which are very important factors in the design of race car. This paper is a study of optimal upright design of F1800 grade formula race car which are normally used in professional race circuit in Korea. To design optimally the front upright of F1800 formula race car, Taguchi's orthogonal array, which is known for more useful method than full factorial design experimental method in cost and time, is used with CAE method such as FEM analysis. And the result of this paper shows that Taguchi's orthogonal array employed for this optimal design is very useful for designing the front upright of race car by minimizing its weight as well as keeping its safety factor as enough as designer wants in the view of quality, cost and delivery at the early design step.

纯电动汽车动力电池箱仿真分析

电动汽车电池箱内装有锂离子蓄电池模组，电池箱通过快换锁止机构锁紧于托架上，托架固定于电动汽车上，电池箱既要满足车辆运行的安全性又要满足换电机器人频繁更换的要求。由于电池箱在电动客车行驶过程中受力工况较为复杂，本文基于计算机辅助分析(CAE)技术，对公司生产的电动商用车电池箱箱体进行不同工况下的力学强度分析，并进行优化设计，既达到了减轻重量及成本的要求，又保证了车辆运行过程中的安全性能。通过青岛、天津、南京等多地装有该快换电池箱的纯电动商用车的实际运行表明，CAE方法设计出的快换电池箱能满足车辆运行安全性的要求，为以后电动汽车快换电池箱的设计改进提供理论依据，一定程度上促进了电动汽车行业的发展。 The battery box of electric vehicle equipped with lithium ion storage battery module, the main bearing mechanism, and through the quick lock mechanism is locked on the battery box’s bracket, which is fixed on the electric vehicle, not only satisfying the vehicle operating’s safety, but also satisfying the requirement of electric robot’s full- automatic frequent transposing. Owing to the fact that electricity stress condition is comparatively complex in the process of electric motor coach running, this article is based on the computer auxiliary analytical technique, strength analysis under different conditions company procreative the battery box of electric motor coach, and optimal design, then not only achieve the requirements and reduce the cost, but also guarantee the vehicle operating’s safety performance. According to the practical action of pure electric vehicle which equipped with this quick change of battery box in Qingdao, Tianjin, Nanjing etc., through CAE method designs quick change of battery box satisfy the requirement of vehicle operating’s safety. The method provided theoretical basis for the design and improvement of quick change battery box of electric vehicle design in the future, and promoted the development of electric vehicle business.

Structure Design and Research on a Spiral Pipe Type Reactor

As the core part of a reactor, a spiral pipe structure working under loads of high temperature and high pressure was designed and researched by using CAE method. The properties of high temperature resistance, high-pressure resistance and corrosion resistance play a crucial role for the reactor whether working well or not. Spiral structure was designed for a core component of this reactor in order to increase the staying time that the medium stays in the pipe. The performances of this spiral structure under its working conditions were calculated and analyzed. The changes of performance of the spiral structure caused by changing of elastic modulus of material under high temperature was studied; because the structure has very large length radius ratio, operation of elements meshing is difficult when using FEM method, in order to solving this problem, the methods of establishing elements modal for this kind of structure was proposed in this paper.