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#electrical products business
newbusinessideas · 2 months
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Top 10 Business Ideas for Electrical Engineers
🔌💼 Dreaming of becoming your own boss in the electrical industry? Here's your blueprint! 🚀 Check out our Top 10 Profitable Electrical Business Ideas for Electrical Engineers and ignite your entrepreneurial journey today! #ElectricalEntrepreneure
The electrical industry is one of the most lucrative sectors globally, driven by the increasing demand for power, automation, and energy-efficient solutions.  At present, there is probably no work that can be done without electric equipment and machines. Yes, from kitchen equipment to television, AC, and fridge, all are electrical things. With the ever-growing demand for electricity and related…
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notayesmanseconomics · 3 months
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EU competitiveness and productivity have been torpedoed by the ECB and European Commission
Sometimes you think that they really could not make it and you discover that they already have. More than 30 years after its inception, Economic and Monetary Union is widely seen as a success. Actually the speech is about a failure so the rhetoric is a sort of smoke screen. But it does serve as a reminder that central bankers act like politicians these days as those are the words of Isabel…
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gplusindia · 6 months
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intersectionalpraxis · 5 months
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Children as young as 6, working 12 hour days digging by hand, receiving $1 a day…think about it before you purchase your next laptop/electric vehicle
Free Congo🇨🇩 & end consumerism and wasteful consumption.
Apple Hub (not affiliated with Apple Official, but their account is influencial/popular among Apple users-adding this for context [01/07/24.]. They posted this a few days ago -it's about 2 different phone models (for fucking display changes).
Apple has been hyper-exploiting people in the Global South to mine for resources to make their products for YEARS, and I need more people to stop buying (unless necessity requires it -I waited 7-8 years before I had to change my phone, and next time I do it'll be a refurbished one) -until these entire systems are dismantled and made to be be ethical in every aspect of their businesses and not just on paper, boycott them.
I also know that Apple will change one spec and advertise like it's the greatest thing since sliced bread, so to speak -and this cult-following just eats this up time and again. If you're not already informed about this inherently violent and corrupt industry -then get to know. And stop supporting these companies.
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genderqueerdykes · 2 months
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disabled trans person need help paying for food, necessities + shipping supplies for shop after being homeless for 6 months
hello, my name is equinox, i am severely disabled autistic trans person dealing with schizophrenia, PTSD, arthritis, hypermobile ehlers-danlos syndrome, degenerative disc disease and gastroparesis. i am a wheelchair and cane user. i am recovering and stabilizing after being homeless for 6 months; i just spent 2 full months living in a hotel paying $38/night. i have relocated into my apartment that i was waiting 6 months for due to the subsidized housing program taking forever to calculate my earned income
i just paid $307 for my deposit + prorated rent in order to move in, as well as a $20 electric bill and a $35 bill to get internet set up, which is required for my jewelry business. i also had i also currently need a lot of things in order to make my house livable including a bed and food, and being able to get to the pharmacy for my medications. right now i have no food in my home due to having to spend money on uber XLs to and from my motel and storage unit in order to get the few possessions i have like blankets and personal belongings. i lost a lot of my kitchen supplies when transitioning between staying with friends for a while
i have almost no money on me right now. i will be re-stocking my shop with new items later today, but for now I need help being able to afford my living expenses as well as being able to afford to ship my products out to my customers. thank you to everyone who has helped thus far you have kept me safe for 6 months. you can help me here:
cash app: $glitterGraphix pay pal: glittergraphicnightmare@ gmail .com chime: $Equinoxian venmo: $Equinoxian
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rodspurethoughts · 1 year
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Toyota's 'Empact' Vision Promotes EV Charging Equity and Sustainability in Underserved Communities
Toyota is committed to sustainability and has recently announced its vision for the future with its ‘Empact’ initiative. The initiative aims to address sustainability and electric vehicle (EV) charging equity in underserved communities. Toyota has long been a leader in the automotive industry, and this new initiative is just one example of its commitment to sustainability. The Empact initiative…
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camsol93 · 1 year
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INVT PLC IVC1L Series Programmable Logic Controller
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The INVT PLC IVC1L is a powerful micro PLC with 128 IO points, 3 serial ports, and 6 high-speed pulse inputs for manufacturing industries.
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UK GDP manages to please and disappoint at once
This morning it is the UK economy which is in focus and let me start with some official figures which certainly fulfill the title above. The first quarterly estimate of UK real gross domestic product (GDP) shows there was no growth in Quarter 4 (Oct to Dec) 2022. So we avoided a recession and did not see a decline in the final quarter of last year both of which are welcome. There was some egg on…
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gplusindia · 6 months
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Listen up you ignorant sheep.
He lies about everything is the point of me posting this.
He didn't have the power himself to ban fracking cause the state and federal government have control of the land involved and the laws and the regulations they passed due to democrat climate change agenda which Joe Biden is a democrat and said he agrees with climate change many numerous times himself. Look that up. Strange how only democrat areas banned fracking, eh?
He didn't stop them, he didn't try to find any way to reach any compromises, he left them go ahead and push their agenda forward. Why? That's what democrats do.
Look online, I posted a few things to prove you jerks wrong and nobody said a word cause there's the proof. There's tons of stuff online about it across the country, but I'm from Pennsylvania so I found a few examples close to home. Believe me there's a shitload online. I only picked a few cause I shouldn't have to waste time looking shit up cause nobody else is willing to cause they're too busy posting TikTok videos of silly animals and crying on Facebook they had a bad hair day.
We were energy dependent till Joe Biden came in passing executive orders that reversed every single fucking thing Trump put into effect to better our country. And that's why Trump jokingly said he'd be a dictator on day one cause sleepy Joe did that exact same fucking thing to him & our entire fucking country.
You assholes must like paying more for gas and helping terrorist countries earn money to buy weapons to murder people. Where are we getting our oil from you idiots? Joe depleted our oil reserves and prevented the pipelines on American soil from being completed while letting Russia finish theirs. Then rejoined that Paris Agreement that Trump took us out of to be more energy independent and free from environmental climate regulation nonsense.
You like funding China so they gain power? They can frack & mine for minerals to build your fucking electric car batteries and cell phone batteries which we could be doing ourselves if not for the democrats.
You might wanna look online to learn gas and fossil fuels are used in a lot of everyday products not just to make your cars drivable and heat your homes.
Perhaps if you'd look things up and do some fucking research instead of playing candy crush and gambling online you'd realize how wrong the democrats really are.
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“Humans in the loop” must detect the hardest-to-spot errors, at superhuman speed
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I'm touring my new, nationally bestselling novel The Bezzle! Catch me SATURDAY (Apr 27) in MARIN COUNTY, then Winnipeg (May 2), Calgary (May 3), Vancouver (May 4), and beyond!
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If AI has a future (a big if), it will have to be economically viable. An industry can't spend 1,700% more on Nvidia chips than it earns indefinitely – not even with Nvidia being a principle investor in its largest customers:
https://news.ycombinator.com/item?id=39883571
A company that pays 0.36-1 cents/query for electricity and (scarce, fresh) water can't indefinitely give those queries away by the millions to people who are expected to revise those queries dozens of times before eliciting the perfect botshit rendition of "instructions for removing a grilled cheese sandwich from a VCR in the style of the King James Bible":
https://www.semianalysis.com/p/the-inference-cost-of-search-disruption
Eventually, the industry will have to uncover some mix of applications that will cover its operating costs, if only to keep the lights on in the face of investor disillusionment (this isn't optional – investor disillusionment is an inevitable part of every bubble).
Now, there are lots of low-stakes applications for AI that can run just fine on the current AI technology, despite its many – and seemingly inescapable - errors ("hallucinations"). People who use AI to generate illustrations of their D&D characters engaged in epic adventures from their previous gaming session don't care about the odd extra finger. If the chatbot powering a tourist's automatic text-to-translation-to-speech phone tool gets a few words wrong, it's still much better than the alternative of speaking slowly and loudly in your own language while making emphatic hand-gestures.
There are lots of these applications, and many of the people who benefit from them would doubtless pay something for them. The problem – from an AI company's perspective – is that these aren't just low-stakes, they're also low-value. Their users would pay something for them, but not very much.
For AI to keep its servers on through the coming trough of disillusionment, it will have to locate high-value applications, too. Economically speaking, the function of low-value applications is to soak up excess capacity and produce value at the margins after the high-value applications pay the bills. Low-value applications are a side-dish, like the coach seats on an airplane whose total operating expenses are paid by the business class passengers up front. Without the principle income from high-value applications, the servers shut down, and the low-value applications disappear:
https://locusmag.com/2023/12/commentary-cory-doctorow-what-kind-of-bubble-is-ai/
Now, there are lots of high-value applications the AI industry has identified for its products. Broadly speaking, these high-value applications share the same problem: they are all high-stakes, which means they are very sensitive to errors. Mistakes made by apps that produce code, drive cars, or identify cancerous masses on chest X-rays are extremely consequential.
Some businesses may be insensitive to those consequences. Air Canada replaced its human customer service staff with chatbots that just lied to passengers, stealing hundreds of dollars from them in the process. But the process for getting your money back after you are defrauded by Air Canada's chatbot is so onerous that only one passenger has bothered to go through it, spending ten weeks exhausting all of Air Canada's internal review mechanisms before fighting his case for weeks more at the regulator:
https://bc.ctvnews.ca/air-canada-s-chatbot-gave-a-b-c-man-the-wrong-information-now-the-airline-has-to-pay-for-the-mistake-1.6769454
There's never just one ant. If this guy was defrauded by an AC chatbot, so were hundreds or thousands of other fliers. Air Canada doesn't have to pay them back. Air Canada is tacitly asserting that, as the country's flagship carrier and near-monopolist, it is too big to fail and too big to jail, which means it's too big to care.
Air Canada shows that for some business customers, AI doesn't need to be able to do a worker's job in order to be a smart purchase: a chatbot can replace a worker, fail to their worker's job, and still save the company money on balance.
I can't predict whether the world's sociopathic monopolists are numerous and powerful enough to keep the lights on for AI companies through leases for automation systems that let them commit consequence-free free fraud by replacing workers with chatbots that serve as moral crumple-zones for furious customers:
https://www.sciencedirect.com/science/article/abs/pii/S0747563219304029
But even stipulating that this is sufficient, it's intrinsically unstable. Anything that can't go on forever eventually stops, and the mass replacement of humans with high-speed fraud software seems likely to stoke the already blazing furnace of modern antitrust:
https://www.eff.org/de/deeplinks/2021/08/party-its-1979-og-antitrust-back-baby
Of course, the AI companies have their own answer to this conundrum. A high-stakes/high-value customer can still fire workers and replace them with AI – they just need to hire fewer, cheaper workers to supervise the AI and monitor it for "hallucinations." This is called the "human in the loop" solution.
The human in the loop story has some glaring holes. From a worker's perspective, serving as the human in the loop in a scheme that cuts wage bills through AI is a nightmare – the worst possible kind of automation.
Let's pause for a little detour through automation theory here. Automation can augment a worker. We can call this a "centaur" – the worker offloads a repetitive task, or one that requires a high degree of vigilance, or (worst of all) both. They're a human head on a robot body (hence "centaur"). Think of the sensor/vision system in your car that beeps if you activate your turn-signal while a car is in your blind spot. You're in charge, but you're getting a second opinion from the robot.
Likewise, consider an AI tool that double-checks a radiologist's diagnosis of your chest X-ray and suggests a second look when its assessment doesn't match the radiologist's. Again, the human is in charge, but the robot is serving as a backstop and helpmeet, using its inexhaustible robotic vigilance to augment human skill.
That's centaurs. They're the good automation. Then there's the bad automation: the reverse-centaur, when the human is used to augment the robot.
Amazon warehouse pickers stand in one place while robotic shelving units trundle up to them at speed; then, the haptic bracelets shackled around their wrists buzz at them, directing them pick up specific items and move them to a basket, while a third automation system penalizes them for taking toilet breaks or even just walking around and shaking out their limbs to avoid a repetitive strain injury. This is a robotic head using a human body – and destroying it in the process.
An AI-assisted radiologist processes fewer chest X-rays every day, costing their employer more, on top of the cost of the AI. That's not what AI companies are selling. They're offering hospitals the power to create reverse centaurs: radiologist-assisted AIs. That's what "human in the loop" means.
This is a problem for workers, but it's also a problem for their bosses (assuming those bosses actually care about correcting AI hallucinations, rather than providing a figleaf that lets them commit fraud or kill people and shift the blame to an unpunishable AI).
Humans are good at a lot of things, but they're not good at eternal, perfect vigilance. Writing code is hard, but performing code-review (where you check someone else's code for errors) is much harder – and it gets even harder if the code you're reviewing is usually fine, because this requires that you maintain your vigilance for something that only occurs at rare and unpredictable intervals:
https://twitter.com/qntm/status/1773779967521780169
But for a coding shop to make the cost of an AI pencil out, the human in the loop needs to be able to process a lot of AI-generated code. Replacing a human with an AI doesn't produce any savings if you need to hire two more humans to take turns doing close reads of the AI's code.
This is the fatal flaw in robo-taxi schemes. The "human in the loop" who is supposed to keep the murderbot from smashing into other cars, steering into oncoming traffic, or running down pedestrians isn't a driver, they're a driving instructor. This is a much harder job than being a driver, even when the student driver you're monitoring is a human, making human mistakes at human speed. It's even harder when the student driver is a robot, making errors at computer speed:
https://pluralistic.net/2024/04/01/human-in-the-loop/#monkey-in-the-middle
This is why the doomed robo-taxi company Cruise had to deploy 1.5 skilled, high-paid human monitors to oversee each of its murderbots, while traditional taxis operate at a fraction of the cost with a single, precaratized, low-paid human driver:
https://pluralistic.net/2024/01/11/robots-stole-my-jerb/#computer-says-no
The vigilance problem is pretty fatal for the human-in-the-loop gambit, but there's another problem that is, if anything, even more fatal: the kinds of errors that AIs make.
Foundationally, AI is applied statistics. An AI company trains its AI by feeding it a lot of data about the real world. The program processes this data, looking for statistical correlations in that data, and makes a model of the world based on those correlations. A chatbot is a next-word-guessing program, and an AI "art" generator is a next-pixel-guessing program. They're drawing on billions of documents to find the most statistically likely way of finishing a sentence or a line of pixels in a bitmap:
https://dl.acm.org/doi/10.1145/3442188.3445922
This means that AI doesn't just make errors – it makes subtle errors, the kinds of errors that are the hardest for a human in the loop to spot, because they are the most statistically probable ways of being wrong. Sure, we notice the gross errors in AI output, like confidently claiming that a living human is dead:
https://www.tomsguide.com/opinion/according-to-chatgpt-im-dead
But the most common errors that AIs make are the ones we don't notice, because they're perfectly camouflaged as the truth. Think of the recurring AI programming error that inserts a call to a nonexistent library called "huggingface-cli," which is what the library would be called if developers reliably followed naming conventions. But due to a human inconsistency, the real library has a slightly different name. The fact that AIs repeatedly inserted references to the nonexistent library opened up a vulnerability – a security researcher created a (inert) malicious library with that name and tricked numerous companies into compiling it into their code because their human reviewers missed the chatbot's (statistically indistinguishable from the the truth) lie:
https://www.theregister.com/2024/03/28/ai_bots_hallucinate_software_packages/
For a driving instructor or a code reviewer overseeing a human subject, the majority of errors are comparatively easy to spot, because they're the kinds of errors that lead to inconsistent library naming – places where a human behaved erratically or irregularly. But when reality is irregular or erratic, the AI will make errors by presuming that things are statistically normal.
These are the hardest kinds of errors to spot. They couldn't be harder for a human to detect if they were specifically designed to go undetected. The human in the loop isn't just being asked to spot mistakes – they're being actively deceived. The AI isn't merely wrong, it's constructing a subtle "what's wrong with this picture"-style puzzle. Not just one such puzzle, either: millions of them, at speed, which must be solved by the human in the loop, who must remain perfectly vigilant for things that are, by definition, almost totally unnoticeable.
This is a special new torment for reverse centaurs – and a significant problem for AI companies hoping to accumulate and keep enough high-value, high-stakes customers on their books to weather the coming trough of disillusionment.
This is pretty grim, but it gets grimmer. AI companies have argued that they have a third line of business, a way to make money for their customers beyond automation's gifts to their payrolls: they claim that they can perform difficult scientific tasks at superhuman speed, producing billion-dollar insights (new materials, new drugs, new proteins) at unimaginable speed.
However, these claims – credulously amplified by the non-technical press – keep on shattering when they are tested by experts who understand the esoteric domains in which AI is said to have an unbeatable advantage. For example, Google claimed that its Deepmind AI had discovered "millions of new materials," "equivalent to nearly 800 years’ worth of knowledge," constituting "an order-of-magnitude expansion in stable materials known to humanity":
https://deepmind.google/discover/blog/millions-of-new-materials-discovered-with-deep-learning/
It was a hoax. When independent material scientists reviewed representative samples of these "new materials," they concluded that "no new materials have been discovered" and that not one of these materials was "credible, useful and novel":
https://www.404media.co/google-says-it-discovered-millions-of-new-materials-with-ai-human-researchers/
As Brian Merchant writes, AI claims are eerily similar to "smoke and mirrors" – the dazzling reality-distortion field thrown up by 17th century magic lantern technology, which millions of people ascribed wild capabilities to, thanks to the outlandish claims of the technology's promoters:
https://www.bloodinthemachine.com/p/ai-really-is-smoke-and-mirrors
The fact that we have a four-hundred-year-old name for this phenomenon, and yet we're still falling prey to it is frankly a little depressing. And, unlucky for us, it turns out that AI therapybots can't help us with this – rather, they're apt to literally convince us to kill ourselves:
https://www.vice.com/en/article/pkadgm/man-dies-by-suicide-after-talking-with-ai-chatbot-widow-says
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If you'd like an essay-formatted version of this post to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:
https://pluralistic.net/2024/04/23/maximal-plausibility/#reverse-centaurs
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Image: Cryteria (modified) https://commons.wikimedia.org/wiki/File:HAL9000.svg
CC BY 3.0 https://creativecommons.org/licenses/by/3.0/deed.en
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batboyblog · 1 month
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Things Biden and the Democrats did, this week #14
April 12-19 2024
The Department of Commerce announced a deal with Samsung to help bring advanced semiconductor manufacturing and research and development to Texas. The deal will bring 45 billion dollars of investment to Texas to help build a research center in Taylor Texas and expand Samsung's Austin, Texas, semiconductor facility. The Biden Administration estimates this will create 21,000 new jobs. Since 1990 America has fallen from making nearly 40% of the world's semiconductor to just over 10% in 2020.
The Department of Energy announced it granted New York State $158 million to help support people making their homes more energy efficient. This is the first payment out of a $8.8 billion dollar program with 11 other states having already applied. The program will rebate Americans for improvements on their homes to lower energy usage. Americans could get as much as $8,000 off for installing a heat pump, as well as for improvements in insulation, wiring, and electrical panel. The program is expected to help save Americans $1 billion in electoral costs, and help create 50,000 new jobs.
The Department of Education began the formal process to make President Biden's new Student Loan Debt relief plan a reality. The Department published the first set of draft rules for the program. The rules will face 30 days of public comment before a second draft can be released. The Administration hopes the process can be finished by the Fall to bring debt relief to 30 million Americans, and totally eliminate the debt of 4 million former students. The Administration has already wiped out the debt of 4.3 million borrowers so far.
The Department of Agriculture announced a $1 billion dollar collaboration with USAID to buy American grown foods combat global hunger. Most of the money will go to traditional shelf stable goods distributed by USAID, like wheat, rice, sorghum, lentils, chickpeas, dry peas, vegetable oil, cornmeal, navy beans, pinto beans and kidney beans, while $50 million will go to a pilot program to see if USAID can expand what it normally gives to new products. The food aid will help feed people in Bangladesh, Burkina Faso, Burundi, Chad, Democratic Republic of the Congo, Djibouti, Ethiopia, Haiti, Kenya, Madagascar, Mali, Nigeria, Rwanda, South Sudan, Sudan, Tanzania, Uganda, and Yemen.
The Department of the Interior announced it's expanding four national wildlife refuges to protect 1.13 million wildlife habitat. The refuges are in New Mexico, North Carolina, and two in Texas. The Department also signed an order protecting parts of the Placitas area. The land is considered sacred by the Pueblos peoples of the area who have long lobbied for his protection. Security Deb Haaland the first Native American to serve as Interior Secretary and a Pueblo herself signed the order in her native New Mexico.
The Department of Labor announced new work place safety regulations about the safe amount of silica dust mine workers can be exposed to. The dust is known to cause scaring in the lungs often called black lung. It's estimated that the new regulations will save over 1,000 lives a year. The United Mine Workers have long fought for these changes and applauded the Biden Administration's actions.
The Biden Administration announced its progress in closing the racial wealth gap in America. Under President Biden the level of Black Unemployment is the lowest its ever been since it started being tracked in the 1970s, and the gap between white and black unemployment is the smallest its ever been as well. Black wealth is up 60% over where it was in 2019. The share of black owned businesses doubled between 2019 and 2022. New black businesses are being created at the fastest rate in 30 years. The Administration in 2021 Interagency Task Force to combat unfair house appraisals. Black homeowners regularly have their homes undervalued compared to whites who own comparable property. Since the Taskforce started the likelihood of such a gap has dropped by 40% and even disappeared in some states. 2023 represented a record breaking $76.2 billion in federal contracts going to small business owned by members of minority communities. This was 12% of federal contracts and the President aims to make it 15% for 2025.
The EPA announced (just now as I write this) that it plans to add PFAS, known as forever chemicals, to the Superfund law. This would require manufacturers to pay to clean up two PFAS, perfluorooctanoic acid and perfluorooctanesulfonic acid. This move to force manufacturers to cover the costs of PFAS clean up comes after last week's new rule on drinking water which will remove PFAS from the nation's drinking water.
Bonus:
President Biden met a Senior named Bob in Pennsylvania who is personally benefiting from The President's capping the price of insulin for Seniors at $35, and Biden let Bob know about a cap on prosecution drug payments for seniors that will cut Bob's drug bills by more than half.
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elmex309 · 1 year
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Manufacturing Process Of Brass Terminals
When it comes to the manufacturing process of brass terminals, it requires expertise, precision, and experience to deliver high-quality products that meet the needs of customers.  Brass terminals are widely used in electrical and electronic applications because of their excellent conductivity, durability, and corrosion resistance.  Therefore, it is essential to choose the best brass terminal manufacturer in India to ensure that you get the best products at a reasonable price.
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The manufacturing process of brass terminals involves several steps, and each step requires careful attention to detail to produce a finished product that meets the exact specifications of the customers.  Here is an overview of the manufacturing process of brass terminals: 
Raw Material Selection: 
The first step in the manufacturing process is to select the best quality brass raw material. The raw material should be of high purity, and its composition should be according to the required specifications. Therefore, it is crucial to choose the best brass terminal manufacturer in India to ensure that you get the best products at a reasonable price. 
Cutting and Shaping: 
After selecting the raw material, it is cut and shaped into the desired size and shape using precision tools and equipment. 
Machining: 
The next step is machining, which involves drilling, tapping, and turning the brass terminal to create the required features and dimensions. 
Surface Treatment: 
Once the machining is done, the brass terminal is cleaned and treated with a surface finish to enhance its appearance and provide protection against corrosion. 
Quality Control: 
The final step is quality control, which involves testing the brass terminal for its conductivity, durability, and other parameters to ensure that it meets the required standards. 
If you are looking for the best brass terminal manufacturer in India, then you should choose a company that has a proven track record of delivering high-quality products and excellent customer service.  A good manufacturer will have a well-equipped manufacturing facility, experienced and skilled workforce, and a robust quality control system to ensure that their products meet the highest standards. 
At Excel Electricals, we are committed to providing our customers with the best quality brass terminals at a reasonable price.  We have been in the business for over three decades, and our experience and expertise have made us one of the leading brass terminal manufacturers in India. We use the latest technology and equipment to manufacture our products and ensure that they meet the exact specifications of our customers. 
In conclusion, the manufacturing process of brass terminals requires expertise, precision, and experience to deliver high-quality products that meet the needs of customers.  Therefore, it is crucial to choose the best brass terminal manufacturer in India to ensure that you get the best products at a reasonable price.  At Excel Electricals, we strive to deliver the best products and services to our customers and help them achieve their goals.
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creativitytoexplore · 2 years
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Fiona slams Canada's Atlantic coast, knocking out power for thousands and damaging homes | CNN
Fiona slams Canada’s Atlantic coast, knocking out power for thousands and damaging homes | CNN
CNN  —  Fiona is ripping through Canada’s eastern seaboard at hurricane strength after making landfall in Nova Scotia on Saturday, slamming the area with fierce winds and storm surge, sapping power for hundreds of thousands and washing away or collapsing some coastal homes. Fiona, now a post-tropical cyclone, had maximum sustained winds of 75 mph – still the power of a Category 1 hurricane –…
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