Airport Runway Defect Detection Device: A Project-Based Learning Media

In the Aviation industry, runways play a significant role in flight safety. Damage to the runway can cause aircraft accidents that can harm several parties. The use of labor in inspection activities tends to frequent human error. Therefore, the author makes a neural network technology tool to detect runway damage at the airport. This research aims to design a runway defect detection device used as a project-based learning media for Transportation Cadets, especially Palembang Aviation Polytechnic Cadets, so they can absorb learning material quickly and find a new learning atmosphere. This research uses the research and development method by analyzing the needs qualitatively. The results of this study indicate that the design scenario and how this tool works can help in learning, especially project-based learning. Hence, the design of this tool can be utilized as a reference in the development and use of the tool

Hardwood Log Breakdown Decision Automation

This paper examines the use of internal log defect information, such as can be obtained from noninvasive defect detection imaging, e.g., computed tomography, magnetic resonance, etc., in the automation of log breakdown decisions for hardwood logs. A method was developed to extract the information and convert it into a form that can directly drive the saw equipment controllers to perform the log breakdown. This method illustrates the feasibility of hardwood log breakdown decision automation

Numerical Simulation And Experiment Study On Magnetoacoustic Emission with Magnetic Induction

铝合金板材具有高强度、低密度、强耐腐蚀、高断裂韧性和良好的高低温特性等优点，是制造宇宙飞船、运载火箭、飞机、舰船、坦克、装甲车和高速列车的主要材料。然而，由于加工工艺限制，铝合金板材在生产过程中不可避免地存在分层、夹杂、裂纹和氧化膜等缺陷。无损检测技术是一种在不破坏待测物材质与性能前提下实现构件质量检测的技术，目前已在许多领域成为确保产品质量和可靠性的强制性措施。 本文研究的感应式磁声发射无损检测方法是利用线圈在导体感应出的涡流在静态磁场的作用下会受到洛仑兹力的作用使导体发生机械振动，进而产生磁声信号，该磁声信号包含了导体表面缺陷的电特性信息，通过声传感器接收该磁声信号，通过电磁场与声场的逆...Aluminum plates have many advantages such as high strength, low density, good corrosion resistance, high fracture toughness and good performance under high or low temperature, and are the main materials for manufacturing spacecraft, rockets, aircraft, ships, tanks, armored vehicles and high-speed trains. However, due to limitation of processing technology, there are inevitably hierarchy, cracks an...学位：工学硕士院系专业：物理与机电工程学院_精密仪器及机械学号：1992012115274

In-Situ Defect Detection Using Acoustic Vibration Monitoring for Additive Manufacturing Processes

The world of additive manufacturing revolves around speed and repeatability. Inherently, the process of 3D printing is plagued with variability that fluctuates with every material and parameter modification. Without proper qualification standards, processes can never become stable enough to produce parts that may be used in aerospace, medical, and construction industries. These industries rely on high quality metrics in order to protect the lives of those who may benefit from them. To establish trust in a process, all points of variation must be controlled and accounted for every part produced. In instances where even the best process controls are enacted, there still may be situational unknowns that can cause detrimental defects, often on micron scales. Through in-situ monitoring techniques, such as visual or acoustic monitoring, a secondary level of quality assessment can be performed. This type of real time monitoring solution can be used in a variety of ways to help reduce scrap rate, increase overall quality, and improve the mechanical characteristics of a newly developing material. In this proposal, a goal was set to develop a system that can be a low-cost alternative to a comparable acoustic monitoring system. This design is meant to be a low fidelity concept that can alert a user of any potential anomalies within a build by detecting spikes in acoustic emissions. The overall success of this experiment is set on two conditions. First, the new low-cost system should be mountable on various types of machines. Second, this system should demonstrate some level of equivalency to a similar system. These two situations were successfully met as the system was able to provide indications of anomalies present within a build. The system was calibrated and tuned to be able to measure signals on a SLM 125 running 316L powder. Minor modifications to the code and system can make it adaptable to different types of equipment such as CNC’s, bandsaws, casting processes, and other advanced manufacturing equipment. The model can be attenuated to support higher or lower frequencies as well as different types of acoustic sensors, which demonstrates the vast potential that this system can provide for detecting different types of defects

Railway defect detection method: A review

The railway is indeed one of the main transportations means in the world. However, with the rapid development and advancement of the railway industries, more railways accidents occur mainly due to its defects which result in economic losses. Traditionally, the railway defect detections process which is deems to be dirty, difficult and dangerous are done manually by the railway maintenance workers. In the recent years, many sophisticated equipment such as portable detectors, track inspection trolleys, track comprehensive inspection vehicles, etc had been developed. This article outlines two main mode of inspection namely static and dynamic inspection, which are commonly used in the railway defect detection and maintenance work. Furthermore, the railway inspection equipment used by the major countries are summarized and the impact on railway inspection based on deep learning and artificial intelligence are appropriately predicted