FLUENT Simulation Design and Optimization of Biological Aerated Filter

In this paper, a small biological aerated filter for experimental use was designed, and a method was explored to optimize the nitrogen removal efficiency by using FLUENT software to simulate the particle size of the filler, the amount of the filler, the initial concentration of ammonia nitrogen, dissolved oxygen and other operating parameters. Through the simulation experiment, the optimal design parameters of the particle size of filler, the amount of filler, the initial concentration of ammonia nitrogen and the dissolved oxygen of the biological aerated filter are 4mm, 60%, 15% and 1.5%, respectively, when the removal efficiency of ammonia nitrogen exceeds 30% reported in the literature. It provides a reference for the experimental research and practical application of biological aerated filter (BAF) denitrification.

Satisfaction and Self-confidence with Simulation Learning Experience as Perceived by Nursing Students

Aims: To determine the perception of nursing students on their satisfaction and self-confidence with simulation learning experience. Methods: A descriptive cross-sectional research design utilized in this study. A convenient sample comprised all third-year nursing students (n=60) who were available at the time of data collection. The Simulation Design, Student Satisfaction and Self Confidence in Learning scale that developed by the National League for Nursing was used for data collection. Results: The study participants were satisfied with the teaching methods that used with the simulation. In addition, the study participants perceived simulation design elements named objectives and information, support, feedback / guided reflection as present and important. Conclusions: This study provides promising evidence that main elements regarding simulation design include objectives, information, support, and problem solving is an effective way to enhance students’ self-confidence and satisfaction in learning.

MECHANIZATION DEVICES FOR HANDLING BRANCHES IN MODERN ORCHARDS

In most parts of China, pruned branches in orchards are still treated manually. In order to reduce the intensity and labor cost, this paper provides a mechanical solution for branches collection, which mainly includes the gathering device, picking device, and smashing device. A simulation platform with a human-computer interaction was developed in Matlab. It can set optimization goals based on human practical experience and optimize the main influencing parameters, and both the gathering device and the picking device achieve the design simulation on this platform. Furthermore, this method helps to quickly obtain the data of key components in the core device. Firstly, the shape of the Slide-way shell of the gathering device can be obtained quickly through different gathering ranges. Secondly, a group of angle and motion trajectory of the picking device with lower height was obtained from the simulation design. Furthermore, the performance of the improved picking device under four different laying conditions was tested. The results showed that, under R=38-42 r/min and V=0.80-0.95 m/s, the success rate of the picking device was 94.2%, 92.5%, 61.0% and 30.8%, respectively. The field test demonstrated that there are no significant differences between the simulated test results and practice test results.

Design Manufacture of Fixture Fire Fighter Kit

Forest fires are one that needs attention in Indonesia. Due to spent a lot of money to solve this problem. One of the tools to solve this problem is fire fighter, so in case is need to make the fixture can manufacture the fire fighter kit. In this study, we propose the fixture that can be produce the kit. It call fixture fire fighter kit. Autodesk inventor is applied in the simulation design and also it is considering with the ergonomic for the worker especially the Indonesian male. Finally, this tool can be resistant with load 50 kg, the deflection is 0.831 mm, and the maximum von misses stress is 34.12 MPa.

Design of L-Band Multiwavelength Laser for TDM/WDM PON Application

This paper presents on the design of L-Band Multiwavelength laser for Hybrid Time Division Multiplexing/ Wavelength Division Multiplexing (TDM/WDM) Passive Optical Network (PON) application. In this design, an L-band Mulltiwavelength Laser is designed as the downstream signals for TDM/WDM PON. The downstream signals ranging from 1569.865 nm to 1581.973 nm with 100GHz spacing. The multiwavelength laser is designed using OptiSystem software and it is integrated into a TDM/WDM PON that is also designed using OptiSystem simulation software. By adapting multiwavelength fiber laser into a TDM/WDM network, a simple and low-cost downstream signal is proposed. From the simulation design, it is found that the proposed design is suitable to be used in TDM/WDM PON for up to 64 Optical Network Units (ONUs).

Face Reconstruction Based on Multiscale Feature Fusion and 3D Animation Design

The development of the Internet of Things and 3D technology promotes the wide application of face models in 3D animation. However, because the expression is inconsistent with the facial muscle movement, the reconstruction results may be far from the real appearance in the process of reconstructing the face appearance. Therefore, this paper proposes a character expression simulation model under the framework of 3DS Max. According to the relationship between head bones and muscles, a facial muscle motion model was established. Then, the expression simulation design of the original three-dimensional animation character “yaya” was carried out under the framework of 3DS Max technology. The experimental results of “yaya” facial expression test showed that the face simulation model using this method not only has vivid and natural expression but also conforms to the law of facial muscle movement, which provides an important reference for the construction and application of 3D face model.

Reduced Simulation: Real-to-Sim Approach toward Collision Detection in Narrowly Confined Environments

Recently, several deep-learning based navigation methods have been achieved because of a high quality dataset collected from high-quality simulated environments. However, the cost of creating high-quality simulated environments is high. In this paper, we present a concept of the reduced simulation, which can serve as a simplified version of a simulated environment yet be efficient enough for training deep-learning based UAV collision avoidance approaches. Our approach deals with the reality gap between a reduced simulation dataset and real world dataset and can provide a clear guideline for reduced simulation design. Our experimental result confirmed that the reduction in visual features provided by textures and lighting does not affect operating performance with the user study. Moreover, by conducting collision detection experiments, we verified that our reduced simulation outperforms the conventional cost-effective simulations in adaptation capability with respect to realistic simulation and real-world scenario.

Computer Simulation Design of Electric Vehicle Dynamic Performance

New energy vehicles are mainly pure electric new energy vehicles. Pure electric vehicles are powered entirely by batteries, as well as power generators. With the improvement of economic level, scientific and technological progress, as well as the emphasis on energy conservation and emission reduction, the development of pure electric vehicles is more rapid, computer simulation design technology helps to adjust and optimize the dynamic performance of electric vehicles, in 2019, the output of pure electric vehicles reached 56,700, it is expected to reach about 100,000 by 2022. However, due to the limitation of battery technology, the average range of pure electric vehicles is about 200km. So it can only withstand short distances between cities.