Env and Water Supply Engg._Dr. Hasan.pdfMahmudHasan747870Core course, namely Environment and Water Supply Engineering. Full lecture notes are in book format for the BSc in Civil Engineering program.
Optimization of Cumulative Energy, Exergy Consumption and Environmental Life ...J. Agricultural MachineryOptimal use of resources, including energy, is one of the most important principles in modern and sustainable agricultural systems. Exergy analysis and life cycle assessment were used to study the efficient use of inputs, energy consumption reduction, and various environmental effects in the corn production system in Lorestan province, Iran. The required data were collected from farmers in Lorestan province using random sampling. The Cobb-Douglas equation and data envelopment analysis were utilized for modeling and optimizing cumulative energy and exergy consumption (CEnC and CExC) and devising strategies to mitigate the environmental impacts of corn production. The Cobb-Douglas equation results revealed that electricity, diesel fuel, and N-fertilizer were the major contributors to CExC in the corn production system. According to the Data Envelopment Analysis (DEA) results, the average efficiency of all farms in terms of CExC was 94.7% in the CCR model and 97.8% in the BCC model. Furthermore, the results indicated that there was excessive consumption of inputs, particularly potassium and phosphate fertilizers. By adopting more suitable methods based on DEA of efficient farmers, it was possible to save 6.47, 10.42, 7.40, 13.32, 31.29, 3.25, and 6.78% in the exergy consumption of diesel fuel, electricity, machinery, chemical fertilizers, biocides, seeds, and irrigation, respectively.
Env and Water Supply Engg._Dr. Hasan.pdfMahmudHasan747870Core course, namely Environment and Water Supply Engineering. Full lecture notes are in book format for the BSc in Civil Engineering program.
Optimization of Cumulative Energy, Exergy Consumption and Environmental Life ...J. Agricultural MachineryOptimal use of resources, including energy, is one of the most important principles in modern and sustainable agricultural systems. Exergy analysis and life cycle assessment were used to study the efficient use of inputs, energy consumption reduction, and various environmental effects in the corn production system in Lorestan province, Iran. The required data were collected from farmers in Lorestan province using random sampling. The Cobb-Douglas equation and data envelopment analysis were utilized for modeling and optimizing cumulative energy and exergy consumption (CEnC and CExC) and devising strategies to mitigate the environmental impacts of corn production. The Cobb-Douglas equation results revealed that electricity, diesel fuel, and N-fertilizer were the major contributors to CExC in the corn production system. According to the Data Envelopment Analysis (DEA) results, the average efficiency of all farms in terms of CExC was 94.7% in the CCR model and 97.8% in the BCC model. Furthermore, the results indicated that there was excessive consumption of inputs, particularly potassium and phosphate fertilizers. By adopting more suitable methods based on DEA of efficient farmers, it was possible to save 6.47, 10.42, 7.40, 13.32, 31.29, 3.25, and 6.78% in the exergy consumption of diesel fuel, electricity, machinery, chemical fertilizers, biocides, seeds, and irrigation, respectively.
Indian Soil Classification System in Geotechnical EngineeringRajani VyawahareThis PowerPoint presentation provides a comprehensive overview of the Indian Soil Classification System, widely used in geotechnical engineering for identifying and categorizing soils based on their properties. It covers essential aspects such as particle size distribution, sieve analysis, and Atterberg consistency limits, which play a crucial role in determining soil behavior for construction and foundation design. The presentation explains the classification of soil based on particle size, including gravel, sand, silt, and clay, and details the sieve analysis experiment used to determine grain size distribution. Additionally, it explores the Atterberg consistency limits, such as the liquid limit, plastic limit, and shrinkage limit, along with a plasticity chart to assess soil plasticity and its impact on engineering applications. Furthermore, it discusses the Indian Standard Soil Classification (IS 1498:1970) and its significance in construction, along with a comparison to the Unified Soil Classification System (USCS). With detailed explanations, graphs, charts, and practical applications, this presentation serves as a valuable resource for students, civil engineers, and researchers in the field of geotechnical engineering.
Structural QA/QC Inspection in KRP 401600 | Copper Processing Plant-3 (MOF-3)...slayshadow705This presentation provides an in-depth analysis of structural quality control in the KRP 401600 section of the Copper Processing Plant-3 (MOF-3) in Uzbekistan. As a Structural QA/QC Inspector, I have identified critical welding defects, alignment issues, bolting problems, and joint fit-up concerns.
Key topics covered:
✔ Common Structural Defects – Welding porosity, misalignment, bolting errors, and more.
✔ Root Cause Analysis – Understanding why these defects occur.
✔ Corrective & Preventive Actions – Effective solutions to improve quality.
✔ Team Responsibilities – Roles of supervisors, welders, fitters, and QC inspectors.
✔ Inspection & Quality Control Enhancements – Advanced techniques for defect detection.
📌 Applicable Standards: GOST, KMK, SNK – Ensuring compliance with international quality benchmarks.
🚀 This presentation is a must-watch for:
✅ QA/QC Inspectors, Structural Engineers, Welding Inspectors, and Project Managers in the construction & oil & gas industries.
✅ Professionals looking to improve quality control processes in large-scale industrial projects.
📢 Download & share your thoughts! Let's discuss best practices for enhancing structural integrity in industrial projects.
Categories:
Engineering
Construction
Quality Control
Welding Inspection
Project Management
Tags:
#QAQC #StructuralInspection #WeldingDefects #BoltingIssues #ConstructionQuality #Engineering #GOSTStandards #WeldingInspection #QualityControl #ProjectManagement #MOF3 #CopperProcessing #StructuralEngineering #NDT #OilAndGas
Engineering at Lovely Professional University (LPU).pdfSona LPU’s engineering programs provide students with the skills and knowledge to excel in the rapidly evolving tech industry, ensuring a bright and successful future. With world-class infrastructure, top-tier placements, and global exposure, LPU stands as a premier destination for aspiring engineers.
How to Build a Maze Solving Robot Using ArduinoCircuitDigestLearn how to make an Arduino-powered robot that can navigate mazes on its own using IR sensors and "Hand on the wall" algorithm.
This step-by-step guide will show you how to build your own maze-solving robot using Arduino UNO, three IR sensors, and basic components that you can easily find in your local electronics shop.
IPC-9716_2024 Requirements for Automated Optical Inspection (AOI) Process Con...ssuserd9338bIPC-9716_2024 Requirements for Automated Optical Inspection (AOI) Process Control for Printed Board Assemblies.pdf
Integration of Additive Manufacturing (AM) with IoT : A Smart Manufacturing A...ASHISHDESAI85Combining 3D printing with Internet of Things (IoT) enables the creation of smart, connected, and customizable objects that can monitor, control, and optimize their performance, potentially revolutionizing various industries. oT-enabled 3D printers can use sensors to monitor the quality of prints during the printing process. If any defects or deviations from the desired specifications are detected, the printer can adjust its parameters in real time to ensure that the final product meets the required standards.
US Patented ReGenX Generator, ReGen-X Quatum Motor EV Regenerative Accelerati...Thane Heins NOBEL PRIZE WINNING ENERGY RESEARCHERPreface: The ReGenX Generator innovation operates with a US Patented Frequency Dependent Load Current Delay which delays the creation and storage of created Electromagnetic Field Energy around the exterior of the generator coil. The result is the created and Time Delayed Electromagnetic Field Energy performs any magnitude of Positive Electro-Mechanical Work at infinite efficiency on the generator's Rotating Magnetic Field, increasing its Kinetic Energy and increasing the Kinetic Energy of an EV or ICE Vehicle to any magnitude without requiring any Externally Supplied Input Energy. In Electricity Generation applications the ReGenX Generator innovation now allows all electricity to be generated at infinite efficiency requiring zero Input Energy, zero Input Energy Cost, while producing zero Greenhouse Gas Emissions, zero Air Pollution and zero Nuclear Waste during the Electricity Generation Phase. In Electric Motor operation the ReGen-X Quantum Motor now allows any magnitude of Work to be performed with zero Electric Input Energy.
Demonstration Protocol: The demonstration protocol involves three prototypes;
1. Protytpe #1, demonstrates the ReGenX Generator's Load Current Time Delay when compared to the instantaneous Load Current Sine Wave for a Conventional Generator Coil.
2. In the Conventional Faraday Generator operation the created Electromagnetic Field Energy performs Negative Work at infinite efficiency and it reduces the Kinetic Energy of the system.
3. The Magnitude of the Negative Work / System Kinetic Energy Reduction (in Joules) is equal to the Magnitude of the created Electromagnetic Field Energy (also in Joules).
4. When the Conventional Faraday Generator is placed On-Load, Negative Work is performed and the speed of the system decreases according to Lenz's Law of Induction.
5. In order to maintain the System Speed and the Electric Power magnitude to the Loads, additional Input Power must be supplied to the Prime Mover and additional Mechanical Input Power must be supplied to the Generator's Drive Shaft.
6. For example, if 100 Watts of Electric Power is delivered to the Load by the Faraday Generator, an additional >100 Watts of Mechanical Input Power must be supplied to the Generator's Drive Shaft by the Prime Mover.
7. If 1 MW of Electric Power is delivered to the Load by the Faraday Generator, an additional >1 MW Watts of Mechanical Input Power must be supplied to the Generator's Drive Shaft by the Prime Mover.
8. Generally speaking the ratio is 2 Watts of Mechanical Input Power to every 1 Watt of Electric Output Power generated.
9. The increase in Drive Shaft Mechanical Input Power is provided by the Prime Mover and the Input Energy Source which powers the Prime Mover.
10. In the Heins ReGenX Generator operation the created and Time Delayed Electromagnetic Field Energy performs Positive Work at infinite efficiency and it increases the Kinetic Energy of the system.
How to Make an RFID Door Lock System using ArduinoCircuitDigestLearn how to build an RFID-based door lock system using Arduino to enhance security with contactless access control.
