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Heat Generated in Journal Bearing

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Heat Generated in Journal Bearing

A bearing is a machine element that supports another moving machine element known as a journal. It enables a relative motion between the contact surfaces of the members while carrying the load. While doing so a certain amount of power is wasted in overcoming frictional resistance due to the relative motion between the contact surfaces. We need to study the types of Bearings, design, and materials used for bearings briefly. In the previous article, we discussed the different types of Bearings. Hydrodynamic Lubricated Bearings are a type of bearing that comes under Sliding Contact Bearings. In this article, let us discuss the Heat Generated in Journal Bearing.

A little consideration will show that a certain amount of power is wasted in overcoming frictional resistance due to the relative motion between the contact surfaces. There will be rapid wear if the rubbing surfaces are in direct contact. To reduce frictional resistance and wear and sometimes to carry away the heat generated, a layer of fluid known as lubricant may be provided. The lubricant used to separate the journal and bearing is usually a mineral oil refined from petroleum, but vegetable oils, silicon oils, greases, etc., may be used.

Heat Generated in Journal Bearing

The heat generated in a bearing is due to the fluid friction and friction of the parts having relative motion. Mathematically, heat generated in bearing,

Qg = μ.W.V

units: N-m/s or J/s or watts

Where
μ = Coefficient of friction
= Load on the bearing in N = Pressure on the bearing in N/mm2 × Projected area of the bearing in mm2 = p (l × d)
V = Rubbing velocity in m/s = (πd.N)/60 is in meters
N = Speed of the journal in r.p.m.

After the thermal equilibrium has been reached, heat will be dissipated at the outer surface of the bearing at the same rate at which it is generated in the oil film. The amount of heat dissipated will depend upon the temperature difference, size, and mass of the radiating surface and on the amount of air flowing around the bearing. However, for convenience in bearing design, the actual heat dissipating area may be expressed in terms of the projected area of the journal.

Heat dissipated by the bearing,

Qd = C.A (tb –ta)

Units: J/s or W

Where
= Heat dissipation coefficient in W/m2/°C,
= Projected area of the bearing in m2 = × d
tb = Temperature of the bearing surface in °C
ta = Temperature of the surrounding air in °C

The value of has been determined experimentally by O. Lasche. The values depend upon the type of bearing, its ventilation, and the temperature difference. The average values of (in W/m2/°C), for journal bearings may be taken as follows:

For unventilated bearings (Still air) = 140 to 420 W/m2/°C

For well-ventilated bearings = 490 to 1400 W/m2/°C

It has been shown by experiments that the temperature of the bearing (tb) is approximately halfway between the temperature of the oil film (t0) and the temperature of the outside air (ta). In other words,

b – t a = 1/2 ( t 0 – t a )

Notes :

  1. For a well-designed bearing, the temperature of the oil film should not be more than 60°C, otherwise, the viscosity of the oil decreases rapidly and the operation of the bearing is found to suffer. The temperature of the oil film is often called the operating temperature of the bearing.
  2. In case the temperature of the oil film is higher, then the bearing is cooled by circulating water through coils built into the bearing.
  3. The mass of the oil to remove the heat generated at the bearing may be obtained by equating the heat generated to the heat taken away by the oil. We know that the oil takes the heat away.

Qt = m.S.t

Units: J/s or watts

Where
m = Mass of the oil in kg/s
S = Specific heat of the oil. Its value may be taken as 1840 to 2100J / kg / °C
t = Difference between outlet and inlet temperature of the oil in °C.

Critical Pressure of the Journal Bearing

The pressure at which the oil film breaks down so that metal-to-metal contact begins is known as critical pressure or the minimum operating pressure of the bearing. It may be obtained by the following empirical relation, i.e.

Critical pressure or minimum operating pressure,

Heat Generated in Journal BearingHeat Generated in Journal Bearing

Example problem to calculate Heat Generated in Journal Bearing

Problem Statement: The load on the journal bearing is 150 kN due to the turbine shaft of 300 mm diameter running at 1800 r.p.m. Determine the Length of the bearing if the allowable bearing pressure is 1.6 N/mm2. Amount of heat to be removed by the lubricant per minute if the bearing temperature is 60°C and viscosity of the oil at 60°C is 0.02 kg/m-s and the bearing clearance is 0.25 mm.

Answer:

Given:
W = 150kN = 150 × 103 N
d = 300 mm = 0.3 m
N = 1800 r.p.m.
p = 1.6 N/mm2
Z = 0.02 kg / m-s
c = 0.25 mm

1. Length of the bearing

Let
= Length of the bearing in mm.

We know that the projected bearing area A = l × d = l × 300 = 300 l mm2

and allowable bearing pressure ( p),

Heat Generated in Journal BearingHeat Generated in Journal Bearing

2. Amount of heat to be removed by the lubricant

We know that the coefficient of friction for the bearing,

Heat Generated in Journal BearingHeat Generated in Journal Bearing

Rubbing velocity,

Heat Generated in Journal BearingHeat Generated in Journal Bearing

Amount of Heat Generated in Journal Bearing (or heat to be removed by the lubricant),

Qg = μ.W.V
Qg = 0.011 × 150 × 103 × 28.3
Qg = 46695 J/s or W
Qg = 46.695kW

A 47 kW of heat is to be removed by the lubricant for the given journal bearing.

Cannabis Can Leave a Distinct Mark on Your DNA, Study Reveals : ScienceAlert

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Cannabis Can Leave a Distinct Mark on Your DNA, Study Reveals : ScienceAlert

Cannabis is one of the most commonly used drugs in the world. Yet there’s still much we don’t know about it and what effects it has on the brain – including why cannabis triggers psychosis in some people who use the drug.

But our recent study has just brought us closer to understanding the biological impact of high-potency cannabis use.

Published in the journal Molecular Psychiatry, our study demonstrates that high-potency cannabis leaves a distinct mark on DNA. We also found that these DNA changes were different in people experiencing their first episode of psychosis compared to users who’d never experienced psychosis. This suggests looking at how cannabis use modifies DNA could help identify those most at risk of developing psychosis.

The amount of THC (Delta-9_tetrahydrocannabinol), the main ingredient in cannabis that makes people feel “high”, has been steadily increasing since the 1990s in the UK and US. In Colorado, where the drug is legal, it’s possible to buy cannabis with 90 percent THC.

While THC is one of over 144 other chemicals found in the cannabis plant, it’s the primary compound used to estimate the potency of cannabis.

Many studies have shown that the greater the THC concentration, the stronger the effects on the user. For example, research has found that people who use high-potency cannabis (with THC of 10 percent or more) daily are five times more likely to develop a psychotic disorder compared to people who have never used cannabis.

Psychotic disorders associated with daily use of high-potency cannabis often manifest through a range of symptoms. These can include auditory hallucinations (hearing voices that others cannot hear), delusions of persecution (feeling the target of a conspiracy without evidence) and paranoia (perceiving the environment as hostile and interpreting interactions suspiciously). These are all very distressing and disabling experiences.

Our study aimed the explore the mark that current cannabis use leaves on the DNA. We also wanted to understand if this mark is specific to high-potency cannabis use – and if this might help to identify those users at greater risk of experiencing psychosis.

To do this, we examined the effects of cannabis use on an molecular process called DNA methylation. DNA methylation is a chemical process that regulates gene activity by turning genes on or off and controlling how genes are expressed without changing the structure of the DNA itself.

DNA methylation is just one of the many mechanisms that regulate gene activity and are part of an important biological process known as epigenetics. Epigenetics underpin the interplay between our environment, the lifestyle choices we make (such as using cannabis or exercising) and our physical and mental health.

While previous studies have investigated the impact of lifetime cannabis use on DNA methylation, they haven’t explored what effect regular use of different cannabis potencies has on this process. Nor have they explored how this affects with people who have psychosis.

Our study combined data from two large first case-control studies: the Genetic and Psychosis study, which was conducted in south London, and the EU-GEI study, which included participants from England, France, the Netherlands, Italy, Spain and Brazil. Both of these studies collected data on people experiencing their first episode of psychosis and participants who had no health problems and represented the local population.

In total, we looked at 239 people who were experiencing their first episode of psychosis and 443 healthy volunteers. Around 65 percent of participants were male. Participants ranged in age 16-72. All participants provided information on their cannabis use, as well as DNA samples from their blood.

Around 38 percent of participants were using cannabis more than once a week. Of those who had used cannabis, the majority had been using high-potency cannabis more than once a week – and had started when they were around 16 years old.

Analyses of DNA methylation were then performed across multiple parts of the whole genome. The analysis took into account the potential impact of several biological and environmental confounders that may have affected the results – such as age, gender, ethnicity, tobacco smoking and the cellular makeup of each blood sample.

DNA signature

Our findings revealed that using high-potency cannabis alters DNA methylation – particularly in genes related to energy and immune system functions. This was true for participants who had used high-potency cannabis. However, people who had experienced psychosis had a different signature of alteration in their DNA.

These epigenetic changes show how external factors (like drug use) can alter how genes work. Very importantly, these changes were not explained by tobacco – which is usually mixed into joints by many cannabis users, and is known to alter DNA methylation.

This finding also highlights epigenetic changes as a potential link between high-potency cannabis and psychosis. DNA methylation, which bridges the gap between genetics and environmental factors, is a key mechanism that allows external influences (such as substance use) to impact gene activity.

By studying epigenetic changes, researchers may be able to develop a greater understanding on how cannabis use – particularly high-potency types – can influence specific biological pathways. This may in turn help us understand why some cannabis users are at increased risk of psychosis.

We hope that our findings will help scientists to better understand how cannabis use can affect the body’s biology. Future research should now investigate whether the DNA methylation patterns associated with cannabis use can serve as biomarkers to identify users at higher risk of developing psychosis. This could lead to more targeted prevention strategies and inform safer cannabis use practices.Cannabis Can Leave a Distinct Mark on Your DNA, Study Reveals : ScienceAlert

Marta Di Forti, Clinician Scientist MRC Research Fellow, King’s College London and Emma Dempster, Senior Lecturer, Clinical and Biomedical Sciences, University of Exeter

This article is republished from The Conversation under a Creative Commons license. Read the original article.

Climate change worsened deadly Nepal floods, scientists say

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Climate change worsened deadly Nepal floods, scientists say

Climate change worsened deadly Nepal floods, scientists say
Credit: Pixabay/CC0 Public Domain

Climate change, along with rapid urbanization and deforestation, turbocharged floods in Nepal that killed more than 240 people last month, scientists said on Thursday.

Nepal suffered its worst flooding in decades in late September after ferocious monsoon rains swelled rivers, swamping entire neighborhoods in the capital Kathmandu and other districts.

World Weather Attribution (WWA), a network of scientists who assess the role of human-induced climate change on extreme weather events, said the link between the intense rainfall and a warming planet was clear.

“If the atmosphere wasn’t overloaded with fossil fuel emissions, these floods would have been less intense, less destructive and less deadly,” said researcher Mariam Zachariah, from Imperial College London.

Their analysis found the relentless rain, which fell on saturated ground in the late monsoon, was made at least 10 percent heavier and 70 percent more likely by climate change.

They warned that such “explosive” rain bursts will “become even heavier, risking more destructive floods” if the world does not stop burning fossil fuels.

Lashing rain from September 26 sparked floods and landslides that killed 246 people and left 18 missing, according to Nepal’s government.

WWA, which uses modeling to compare weather patterns in our world and one without human-induced climate change, said there was a high level of uncertainty in the results because of the complex rain dynamics in the small, mountainous region affected.

However, the results were in line with growing scientific evidence on large-scale extreme rain in a warming climate, in which the atmosphere holds more water.

The role of climate change was also compounded by other man-made problems, they said, including rapid urbanization, with a nearly four-fold increase in built-up areas in Kathmandu since 1990.

That was coupled with major deforestation that disrupted the natural flow of water, with tree cover slashed by more than a quarter since 1989.

The floods smashed hydropower plants, washed away homes and ripped away bridges. It was the latest disastrous flood to hit the Himalayan nation this year.

“Climate change is no longer a distant threat,” said Roshan Jha, Researcher at the Indian Institute of Technology in Mumbai.

“With every fraction of a degree of warming, the atmosphere can potentially hold more moisture, leading to much heavier downpours, and catastrophic floods like these.”

Nepal has embarked on a giant hydropower dam building spree, generating 99 percent of its power, with output increasing fourfold in the past eight years.

It has signed deals to export surplus power to neighboring coal-dependent India.

Earlier this month, the UN’s World Meteorological Organization said that increasingly intense floods and droughts are a “distress signal” of what is to come as climate change makes the planet’s water cycle ever more unpredictable.

WMO chief Celeste Saulo called water the “canary in the coal mine of climate change”.

© 2024 AFP

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Perceval Tech note: Introducing “shots” in a linear optic quantum computing framework | by Quandela Team | Quandela

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Perceval Tech note: Introducing “shots” in a linear optic quantum computing framework | by Quandela Team | Quandela

Perceval Tech note: Introducing “shots” in a linear optic quantum computing framework | by Quandela Team | Quandela
Quandela
Article by Raksha Singla

Quantum mechanics is intrinsically random. When a quantum state undergoes an evolution through a quantum process, the output state is a well-defined mathematical object, but we can only access it through measurements. Each measurement produces an output that belongs to a probability distribution that follows the Born rule. This could be seen as a bottleneck for a quantum developer compared to classical computation. But when quantum information is used cleverly, we can encode the results of our problem in a few measurement outcomes enabling solving challenging problems for classical computing (see Shor algorithm example for instance here) .

What do people call a shot in the context of quantum computing?

One “shot” represents one execution of a quantum circuit.
Given the probabilistic nature of the system, conducting multiple iterations of the system (obtaining many shots) is necessary to gather data for statistical analysis of the algorithm’s operation. The concept of “shots” is universally embraced by most quantum providers. But the precise implementation of “shots” and their management will vary among different frameworks as it depends on the specific characteristics of the hardware system.

How do we define shots at Quandela?

Our computing architecture works with linear optics. We send single photons in a quantum circuit composed of tunable linear optical elements which results in an operation optical elements forming the quantum circuit performing the processing action on states of photons (input source) acting as a qubit in the Fock space (for an explanation of the Fock space see here). A photon-coincidence event — detection of at least 1 photon at the output — Detection of 1 or multiple photons by the detectors at the output defines a single execution of a quantum experiment.

Each time a photon in any output mode reaches a detector = SHOT

Our QPU sends single photons at a periodic rate into the chip implementing the circuit designed by the user. While these photons may undergo absorption at various points within the hardware. Nevertheless, whenever at least one photon is detected at the optical chip’s output (termed as a photon-coincidence event), it marks the end of a single execution and the measured output constitutes a data samplewe consider that the quantum circuit has been executed. Our shot count is thus defined as the number of photon-coincidence event during the computation.

A user may not necessarily want to sample single photon detections; they may specifically desire samples with a certain number “N” (>1) of photon coincidences and request these as the output. In such cases, the system may need to be run with a number of shots exceeding the requested number of samples, as multiple photon coincidences are anticipated. Recognizing this user preference, we have incorporated a tool in Perceval to calculate estimate the necessary number of shots based on the user’s desired sample count. This tool conducts the estimation by considering the unitary of the implemented circuit, the input state, and the performance characteristics of the device.

How Shots will Revolutionise our User’s Experience?

Access to Quantum State Distribution:
In the light of the definition that characterises “Shots” as the output detected during each circuit execution, they offer direct access to the probability distribution of a quantum state.

Predictable output rate:
In a photonic system characterised by instantaneous gate applications and a complex input state preparation timing (see detail on demultiplexing here), the time capture of shots clearly indicating the end of a single execution is exhibiting variability attributed to this input state time sequence, the actual configured circuit, and system transmittance factor. Working with shots guarantee a predictable output rate independent of these fluctuations.

Simplified User Interactions:
The incorporation of shots not only seeks to standardize user interactions with running algorithms on our Quantum Processing Unit (QPU) through our cloud services but also provides them with a more standardized parameter for understanding their resource needs. This enhancement contributes to a clearer and more consistent measure.

Predictability for Time and Cost:
-Shots, being highly predictable, offer the most reliable means to estimate the time and cost of running an algorithm.
-This stability in parameter counting results in fixed pricing, ensuring fairness to users and independence from the variability of the performance of the physical QPU device.

Axiom Space’s lunar spacesuit sports 4G comms, Prada looks and Oakley visors for Artemis astronauts

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Axiom Space’s lunar spacesuit sports 4G comms, Prada looks and Oakley visors for Artemis astronauts

MILAN — If you’re going to team up with Prada for a 21st-century moon suit, it only makes sense to unveil it in one of the fashion capitals of the world.

Axiom Space and Prada revealed the Axiom Extravehicular Mobility Unit (AxEMU) spacesuit in a press conference held at the International Astronautical Congress (IAC) here today (Oct. 16).

AxEMU will be used for NASA’s Artemis 3 mission, which is currently scheduled to launch in late 2026. It has been specially designed for the lunar south pole, which will be a colder environment than astronauts experienced on the Apollo missions, which landed around the moon’s equator.

The AxEMU spacesuit that Artemis astronauts will wear on the moon. (Image credit: Axiom Space)

The new spacesuit incorporates multiple redundant systems and an onboard diagnostic system to ensure safety for crewmembers, according to Axiom. It features lights and an HD camera on the helmet, 4G/LTE communication, a suit control interface, biometric monitoring, regenerable carbon dioxide scrubbing and portable life support to keep astronauts safe for up to eight hours. It can also accommodate a wide range of crewmembers, male or female.

The Hardest Physics Equations You Need to Know

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The Hardest Physics Equations You Need to Know

Last Updated on October 8, 2024 by Zinab Hasssan

Physics is the science of nature that describes how the universe works around us, starting from the atoms to the giant galaxies through physics equations. Scientists try to understand natural phenomena and explain how the universe works.

Among the myriad equations that describe the fundamental forces and phenomena of nature, some stand out not just for their significance but for their sheer complexity. The hardest physics equations challenge our understanding and push the boundaries of mathematical and physical knowledge.

Join us as we explore the depths of these challenging equations and the quest for solutions that could unlock new realms of physics.

Factors for Determining the Hardest physics Equation

Determining the hardest physics equation depends on factors, such as:

  • Understanding Level: The difficulty of an equation can depend on the individual’s mathematical background and problem-solving skills.
  • Context: The context in which the equation is used can also influence its difficulty.
  • Unsolved Status: The equation’s status as unsolved can determine its difficulty. Equations that remain unsolved are considered harder due to the ongoing challenge they present to mathematicians.
  • Required Methods for Solution: The techniques or methods required to solve an equation can also determine its difficulty. Some equations may require advanced mathematical tools or concepts.

Explore One of the Hardest Physics Equation                               

The Hardest Physics Equations You Need to KnowThe Hardest Physics Equations You Need to Know

One of the hardest physics equations is the Navier-Stokes equations that describe the flow of fluids, from simple flows like water running from a faucet to complex turbulent patterns like those seen in hurricanes. Despite their simplicity in appearance, the Navier-Stokes equations are incredibly difficult to solve, especially for turbulent flows.

They are considered  very hard physics equations and so mathematically challenging. The Clay Mathematics Institute chose it as one of seven Millennium Prize Problems endowed with a $1 million reward to the first person providing a solution for a specific statement of the problem.

 An example of a non turbulent flow is a smooth river: Every part of the river moves in the same direction at the same speed. A turbulent fluid is the fracturing of that river, so that different parts of the flow move in different directions at different velocities.

 Physicists describe the formation of turbulence as, first, an eddy in a smooth flow, and then the formation of eddies within that eddy, and yet finer eddies within those eddies – eddies all the way down, so that the fluid becomes broken into discrete parts, all interacting, each moving its own way.

Researchers want to understand exactly how a smooth flow breaks down into a turbulent flow and to model the future shape of a fluid once turbulence has taken over.

The Navier–Stokes equations are partial differential equations that describe the motion of a fluid in space. Solutions to the Navier–Stokes equations are used in many practical applications. However, the  theoretical understanding of the solutions to these equations is incomplete. In particular, solutions of the Navier–Stokes equations often include turbulence, which remains one of the greatest unsolved problems in physics, despite its immense importance in science and engineering.

Even more basic properties of the solutions to the Navier–Stokes equations have never been proven. For the 3D system of equations, and given some initial conditions, mathematicians have neither proved that smooth solutions always exist, nor found any counter-examples. This is called the Navier–Stokes existence and smoothness problem.

The Navier-Stokes equations are considered as very hard physics equationsThe Navier-Stokes equations are considered as very hard physics equations

Sources:

Navier–Stokes existence and smoothness |Wikipedia

What Makes the Hardest Equations in Physics So Difficult? | Quantamagazine

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What is the hardest equation in the world?

To detect what makes an equation the “hardest,” several factors play a vital role. Here are some factors to consider when detecting “What is the hardest equation in the world?”:

Complexity of the Equation

Unsolved Status

Historical Significance

Applicability and Impact

Required Techniques for Solution

What is the most powerful physics formula?

What is the most powerful physics formula?What is the most powerful physics formula?

Einstein’s Energy-Mass Equivalence (E = Mc2 ) is considered  one of the most powerful physics formula, where:

E — The kinetic energy of that body

M — The mass of the body

c2 — The speed of light squared

The equation describes the fact that mass and energy are the same physical entity and can be changed into each other. According to the equation, the increased relativistic mass (m) of a body times the speed of light squared (c2) is equal to the kinetic energy (E) of that body.

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What is the hardest physics problem in the world?

What is the hardest physics problem in the world?What is the hardest physics problem in the world?

Quantum gravity is one of the biggest unsolved and hardest physics problems in the world, exactly how gravity and the quantum will be made to coexist within the same theory. Quantum Gravity is required to make the whole of physics logically consistent. The problem is that quantum physics and general relativity already overlap each other’s domains, but do not fit together.

What Is The Most Beautiful Equation in Physics?

There is a psychology experiment that revealed that mathematicians appreciate beautiful equations in the same way that people experience great works of art.
In the experiment, which conjures up a slightly comical scene, mathematicians were hooked up to a functional magnetic resonance imaging (fMRI) machine and asked to view a series of equations. When the subjects looked at equations they had previously rated as beautiful, it triggered activity in a part of the emotional brain associated with the experience of visual and musical beauty.

The formula most commonly rated as beautiful in the study, in both the initial survey and the brain scan, was Euler’s equation, eiπ+ 1 = 0.

A Closer Look at PraxiLabs Physics Experiments Virtual Labs

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NASA’s TESS Spots Record-Breaking Stellar Triplets » MIT Physics

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NASA’s TESS Spots Record-Breaking Stellar Triplets » MIT Physics

Watch how the three stars in the system called TIC 290061484 eclipse each other over about 75 days. The line at the bottom is the plot of the system’s brightness over time, as seen by TESS (Transiting Exoplanet Survey Satellite). The inset shows the system from above.
NASA’s Goddard Space Flight Center

Professional and amateur astronomers teamed up with artificial intelligence to find an unmatched stellar trio called TIC 290061484, thanks to cosmic “strobe lights” captured by NASA’s TESS (Transiting Exoplanet Survey Satellite). 

The system contains a set of twin stars orbiting each other every 1.8 days, and a third star that circles the pair in just 25 days. The discovery smashes the record for shortest outer orbital period for this type of system, set in 1956, which had a third star orbiting an inner pair in 33 days.

“Thanks to the compact, edge-on configuration of the system, we can measure the orbits, masses, sizes, and temperatures of its stars,” said Veselin Kostov, a research scientist at NASA’s Goddard Space Flight Center in Greenbelt, Maryland, and the SETI Institute in Mountain View, California. “And we can study how the system formed and predict how it may evolve.”

A paper, led by Kostov, describing the results was published in The Astrophysical Journal Oct. 2.

Flickers in starlight helped reveal the tight trio, which is located in the constellation Cygnus. The system happens to be almost flat from our perspective. This means the stars each cross right in front of, or eclipse, each other as they orbit. When that happens, the nearer star blocks some of the farther star’s light.

Using machine learning, scientists filtered through enormous sets of starlight data from TESS to identify patterns of dimming that reveal eclipses. Then, a small team of citizen scientists filtered further, relying on years of experience and informal training to find particularly interesting cases.

These amateur astronomers, who are co-authors on the new study, met as participants in an online citizen science project called Planet Hunters, which was active from 2010 to 2013. The volunteers later teamed up with professional astronomers to create a new collaboration called the Visual Survey Group, which has been active for over a decade.

“We’re mainly looking for signatures of compact multi-star systems, unusual pulsating stars in binary systems, and weird objects,” said Saul Rappaport, an emeritus professor of physics at MIT in Cambridge. Rappaport co-authored the paper and has helped lead the Visual Survey Group for more than a decade. “It’s exciting to identify a system like this because they’re rarely found, but they may be more common than current tallies suggest.” Many more likely speckle our galaxy, waiting to be discovered.

Partly because the stars in the newfound system orbit in nearly the same plane, scientists say it’s likely very stable despite their tight configuration (the trio’s orbits fit within a smaller area than Mercury’s orbit around the Sun). Each star’s gravity doesn’t perturb the others too much, like they could if their orbits were tilted in different directions.

But while their orbits will likely remain stable for millions of years, “no one lives here,” Rappaport said. “We think the stars formed together from the same growth process, which would have disrupted planets from forming very closely around any of the stars.” The exception could be a distant planet orbiting the three stars as if they were one.

As the inner stars age, they will expand and ultimately merge, triggering a supernova explosion in around 20 to 40 million years.

In the meantime, astronomers are hunting for triple stars with even shorter orbits. That’s hard to do with current technology, but a new tool is on the way.

NASA’s TESS Spots Record-Breaking Stellar Triplets » MIT Physics
This graphic highlights the search areas of three transit-spotting missions: NASA’s upcoming Nancy Grace Roman Space Telescope, TESS (the Transiting Exoplanet Survey Satellite), and the retired Kepler Space Telescope. Kepler found 13 triply eclipsing triple star systems, TESS has found more than 100 so far, and astronomers expect Roman to find more than 1,000.
NASA’s Goddard Space Flight Center

Images from NASA’s upcoming Nancy Grace Roman Space Telescope will be much more detailed than TESS’s. The same area of the sky covered by a single TESS pixel will fit more than 36,000 Roman pixels. And while TESS took a wide, shallow look at the entire sky, Roman will pierce deep into the heart of our galaxy where stars crowd together, providing a core sample rather than skimming the whole surface.

“We don’t know much about a lot of the stars in the center of the galaxy except for the brightest ones,” said Brian Powell, a co-author and data scientist at Goddard. “Roman’s high-resolution view will help us measure light from stars that usually blur together, providing the best look yet at the nature of star systems in our galaxy.”

And since Roman will monitor light from hundreds of millions of stars as part of one of its main surveys, it will help astronomers find more triple star systems in which all the stars eclipse each other.

“We’re curious why we haven’t found star systems like these with even shorter outer orbital periods,” said Powell. “Roman should help us find them and bring us closer to figuring out what their limits might be.”

Roman could also find eclipsing stars bound together in even larger groups — half a dozen, or perhaps even more all orbiting each other like bees buzzing around a hive.

“Before scientists discovered triply eclipsing triple star systems, we didn’t expect them to be out there,” said co-author Tamás Borkovits, a senior research fellow at the Baja Observatory of The University of Szeged in Hungary. “But once we found them, we thought, well why not? Roman, too, may reveal never-before-seen categories of systems and objects that will surprise astronomers.”

TESS is a NASA Astrophysics Explorer mission managed by NASA Goddard and operated by MIT in Cambridge, Massachusetts. Additional partners include Northrop Grumman, based in Falls Church, Virginia; NASA’s Ames Research Center in California’s Silicon Valley; the Center for Astrophysics | Harvard & Smithsonian in Cambridge, Massachusetts; MIT’s Lincoln Laboratory; and the Space Telescope Science Institute in Baltimore. More than a dozen universities, research institutes, and observatories worldwide are participants in the mission.

NASA’s citizen science projects are collaborations between scientists and interested members of the public and do not require U.S. citizenship. Through these collaborations, volunteers (known as citizen scientists) have helped make thousands of important scientific discoveries. To get involved with a project, visit NASA’s Citizen Science page.

Download additional images and video from NASA’s Scientific Visualization Studio.

Band 8 Writing Answer for Chart

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Band 8 Writing Answer for Chart

The chart below shows the value of one country’s exports in various categories during 2015 and 2016. The table shows the percentage change in each category of exports in 2016 compared with 2015. (Source: Cambridge IELTS 14) Here’s my band 9 sample answer: The bar chart and table give information about a country’s export earnings from five groups of products in 2015 and 2016. It is noticeable that export revenues in all but one of the five product categories increased over the period shown. While petroleum products were the highest-earning exports in both years, the textile industry saw the most significant growth in earnings. Export earnings from petroleum products rose from around $61 billion in 2015 to $63 billion in 2016, which was an increase of 3%. Income from engineered goods reached a similar level. The country’s export earnings from these goods went up by 8.5% to approximately $62 billion in 2016. From 2015 to 2016, there was a 15.24% increase in export revenue from textiles, with earnings rising from roughly $25 billion to over $30 billion. By contrast, there was almost no change in the amount of money earned from agricultural products, which remained at just over $30 billion. Finally, the only decline in income occurred in the gems and jewellery product group, where export earnings fell by around 5% to approximately $40 billion in 2016.

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