The Production Process for the Steel Rail for Ampang LEP
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The Steel Rail for Ampang Line Extension Project, Kuala Lumpur was supplied by CRM Trading Limited and manufacturer by Pangang Group Steel Vanadium & Titanium Co., Ltd.. For this project we use 2 types of steel rail R350HT and R260.
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1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
Rainfall intensity duration frequency curve statistical analysis and modeling...
Using data from 41 years in Patna’ India’ the study’s goal is to analyze the trends of how often it rains on a weekly, seasonal, and annual basis (1981−2020). First, utilizing the intensity-duration-frequency (IDF) curve and the relationship by statistically analyzing rainfall’ the historical rainfall data set for Patna’ India’ during a 41 year period (1981−2020), was evaluated for its quality. Changes in the hydrologic cycle as a result of increased greenhouse gas emissions are expected to induce variations in the intensity, length, and frequency of precipitation events. One strategy to lessen vulnerability is to quantify probable changes and adapt to them. Techniques such as log-normal, normal, and Gumbel are used (EV-I). Distributions were created with durations of 1, 2, 3, 6, and 24 h and return times of 2, 5, 10, 25, and 100 years. There were also mathematical correlations discovered between rainfall and recurrence interval.
Findings: Based on findings, the Gumbel approach produced the highest intensity values, whereas the other approaches produced values that were close to each other. The data indicates that 461.9 mm of rain fell during the monsoon season’s 301st week. However, it was found that the 29th week had the greatest average rainfall, 92.6 mm. With 952.6 mm on average, the monsoon season saw the highest rainfall. Calculations revealed that the yearly rainfall averaged 1171.1 mm. Using Weibull’s method, the study was subsequently expanded to examine rainfall distribution at different recurrence intervals of 2, 5, 10, and 25 years. Rainfall and recurrence interval mathematical correlations were also developed. Further regression analysis revealed that short wave irrigation, wind direction, wind speed, pressure, relative humidity, and temperature all had a substantial influence on rainfall.
Originality and value: The results of the rainfall IDF curves can provide useful information to policymakers in making appropriate decisions in managing and minimizing floods in the study area.
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留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
Data Driven Maintenance | UReason Webinar
Discover the latest insights on Data Driven Maintenance with our comprehensive webinar presentation. Learn about traditional maintenance challenges, the right approach to utilizing data, and the benefits of adopting a Data Driven Maintenance strategy. Explore real-world examples, industry best practices, and innovative solutions like FMECA and the D3M model. This presentation, led by expert Jules Oudmans, is essential for asset owners looking to optimize their maintenance processes and leverage digital technologies for improved efficiency and performance. Download now to stay ahead in the evolving maintenance landscape.
Unit-III-ELECTROCHEMICAL STORAGE DEVICES.ppt
Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
Computational Engineering IITH Presentation
This Presentation will give you a brief idea about what Computational Engineering at IIT Hyderabad has to offer.
Design and optimization of ion propulsion drone
Electric propulsion technology is widely used in many kinds of vehicles in recent years, and aircrafts are no exception. Technically, UAVs are electrically propelled but tend to produce a significant amount of noise and vibrations. Ion propulsion technology for drones is a potential solution to this problem. Ion propulsion technology is proven to be feasible in the earth’s atmosphere. The study presented in this article shows the design of EHD thrusters and power supply for ion propulsion drones along with performance optimization of high-voltage power supply for endurance in earth’s atmosphere.
Software Engineering and Project Management - Introduction, Modeling Concepts...
Introduction, Modeling Concepts and Class Modeling: What is Object orientation? What is OO development? OO Themes; Evidence for usefulness of OO development; OO modeling history. Modeling
as Design technique: Modeling, abstraction, The Three models. Class Modeling: Object and Class Concept, Link and associations concepts, Generalization and Inheritance, A sample class model, Navigation of class models, and UML diagrams
Building the Analysis Models: Requirement Analysis, Analysis Model Approaches, Data modeling Concepts, Object Oriented Analysis, Scenario-Based Modeling, Flow-Oriented Modeling, class Based Modeling, Creating a Behavioral Model.
一比一原版(CalArts毕业证)加利福尼亚艺术学院毕业证如何办理
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AI assisted telemedicine KIOSK for Rural India.pptx
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The Production Process for the Steel Rail for Ampang LEP
- 1. Factory Acceptance Test (FAT) of Rail for Ampang (AMG) Line Extension Project (LEP) Contractor : GKLP - CHEC Supplier: CRM Trading Limited (China Railway Materials) Manufacturer: Pangang Group Steel Vanadium & Titanium CO., LTD.
- 2. CONTENTS Introduction FAT Rail Itinerary – Plan & Actual Rail Production Process Types of Test Panzhihua City, Sichuan Province, China
- 3. FAT OF RAIL FOR AMPANG LEP PANGANG GROUP STEEL VANADIUM & TITANIUM CO., LTD. PANZHIHUA CITY, CHINA 26 JULY – 31 JULY 2013 Introduction Pangang Factory, Panzhihua City Participant: CIDB 1 Prasarana 1 Rapid 1 Opus 1 HSSI 1 GKLP 1 CHEC 2 Total = 8
- 4. INTRODUCTION FAT is written to Qualify and Accept the supply of rails. OBJECTIVE To supervise the rail production process of R260 and R350HT rails to fully comply with the requirement of BS13674-1:2011. Buyer’s or representatives will also witness and participate in the FAT, to verify and prove all the test result are to be in compliance with the criteria. If FAT are all qualified, the rails shall be acceptance. FAT INCLUDES Laboratory Tests Dimension Tolerances Surface Quality internal quality *There are two (2) grades of 60E1 rails tested for this FAT, consists of R260 and R350HT. Standard BS EN 13674-1:2011
- 5. FAT OF RAIL FOR AMPANG LEP PANGANG GROUP STEEL VANADIUM & TITANIUM CO., LTD. PANZHIHUA CITY, CHINA Rail production process at Pangang manufacture, Panzhihua City
- 6. Materials & it process Materials 1. Iron 2. Carbon 3. Scrap metals and ect. Mixed Heated Bloom Rolled Hot stamping Natural cooling Cutting the rail Test Process flow
- 7. Rail process - bloom Blooms (A hot metal block) made from basic oxygen steel
- 8. Rail process - rolled
- 9. Rail process – rolled
- 10. Rail process – cooling process
- 11. Rail process – Stright – cutting (25 Meter)
- 12. FAT OF RAIL FOR AMPANG LEP PANGANG GROUP STEEL VANADIUM & TITANIUM CO., LTD. PANZHIHUA CITY, CHINA Types of Test at Pangang manufacture, Panzhihua City
- 13. Oxide Cleanness, Fatigue Test Hydrogen & Oxygen Test Hardness & Tensile Test Dimension Test Chemical Composition Test Sulfur Prints, Microstructure Test
- 14. Hardness & Tensile Test
- 15. Hydrogen & Oxygen Test
- 19. Ultrasonic Test
- 20. Steel Rail arrived in Port Klang = 25 August 2013 (1st Delivery) 2nd Delivery = > May 2014 (R350HT) Types Pieces R260 664 R350HT 656 Total 1320
Editor's Notes
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