Warm rolling is a metal forming process that involves deforming metal between its recrystallization and annealing temperatures. The document discusses how warm rolling non-grain oriented steels results in a cube texture structure due to microstructural changes that occur at different warm rolling temperatures and reductions. Specifically, warm rolling causes texture changes through deformation and alters material properties. The document aims to investigate these effects for pure iron, interstitial free steel, and iron-silicon alloys that are suitable materials for the warm rolling process.
This document provides a timeline of important events in Indian history from 7500 BC to 1877 AD. Some key events include the Indus Valley Civilization from 2500-1500 BC, the life of Gautama Buddha and Mahavira in the 6th century BC, the rise of the Mauryan Empire under Chandragupta Maurya in the 4th century BC, the reign of Ashoka in the 3rd century BC, the arrival of Europeans like Vasco da Gama in the 15th century, the establishment of the Mughal Empire by Babur in 1526, and the British East India Company gaining control of parts of India in the late 18th century.
PRODUCTION OF METALLIC SINGLE CRYSTALS AND DS OF SUPER ALLOYS.docxsudhakargeruganti
The document discusses a new product launch for a company. It outlines key details of the product, including its features and target market. It also provides a timeline for rolling out marketing and shipping the first units to customers over the next few months.
Pole figures and ODFs are graphical and mathematical tools used to determine the preferred orientation of crystals in materials. Pole figures show the density of crystal planes perpendicular to a given direction, while ODFs describe the probability of finding crystals in particular orientations. Both tools are analyzed to identify peaks indicating preferred orientations that provide information about a material's texture and anisotropy.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
PRECIPITATION HARDENING IN Al-CU, Al-Mg-SI,Cu-Be.pptxsudhakargeruganti
Precipitation hardening plays a critical role in strengthening high-strength aluminum alloys. It involves three steps: (1) solution heat treating to dissolve alloying elements into the aluminum, (2) quenching to trap the alloying elements, and (3) aging where the elements precipitate out as fine particles that impede dislocation movement and strengthen the alloy. The document then discusses precipitation hardening specifically in an aluminum-copper alloy, noting it is aged at 340F for 10 hours to precipitate out fine aluminum-copper particles and dramatically increase its strength and hardness.
This document provides a timeline of important events in Indian history from 7500 BC to 1877 AD. Some key events include the Indus Valley Civilization from 2500-1500 BC, the life of Gautama Buddha and Mahavira in the 6th century BC, the rise of the Mauryan Empire under Chandragupta Maurya in the 4th century BC, the reign of Ashoka in the 3rd century BC, the arrival of Europeans like Vasco da Gama in the 15th century, the establishment of the Mughal Empire by Babur in 1526, and the British East India Company gaining control of parts of India in the late 18th century.
PRODUCTION OF METALLIC SINGLE CRYSTALS AND DS OF SUPER ALLOYS.docxsudhakargeruganti
The document discusses a new product launch for a company. It outlines key details of the product, including its features and target market. It also provides a timeline for rolling out marketing and shipping the first units to customers over the next few months.
Pole figures and ODFs are graphical and mathematical tools used to determine the preferred orientation of crystals in materials. Pole figures show the density of crystal planes perpendicular to a given direction, while ODFs describe the probability of finding crystals in particular orientations. Both tools are analyzed to identify peaks indicating preferred orientations that provide information about a material's texture and anisotropy.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
PRECIPITATION HARDENING IN Al-CU, Al-Mg-SI,Cu-Be.pptxsudhakargeruganti
Precipitation hardening plays a critical role in strengthening high-strength aluminum alloys. It involves three steps: (1) solution heat treating to dissolve alloying elements into the aluminum, (2) quenching to trap the alloying elements, and (3) aging where the elements precipitate out as fine particles that impede dislocation movement and strengthen the alloy. The document then discusses precipitation hardening specifically in an aluminum-copper alloy, noting it is aged at 340F for 10 hours to precipitate out fine aluminum-copper particles and dramatically increase its strength and hardness.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
artificial intelligence and data science contents.pptxGauravCar
What is artificial intelligence? Artificial intelligence is the ability of a computer or computer-controlled robot to perform tasks that are commonly associated with the intellectual processes characteristic of humans, such as the ability to reason.
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Artificial intelligence (AI) | Definitio
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.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
Software Engineering and Project Management - Introduction, Modeling Concepts...Prakhyath Rai
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.
Rainfall intensity duration frequency curve statistical analysis and modeling...bijceesjournal
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.
Design and optimization of ion propulsion dronebjmsejournal
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.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
