2013年12月31日 星期二

Adding and taking away (Advanced manufacturing)



Advanced manufacturing

Adding and taking away

THERE are now a score or more of ways to print objects out of metal, plastic or both by building them up, layer by layer, into the finished article. But such 3D printing has its limits. One is that no version of the process is good at making the surfaces of its products smooth and accurate enough for them to be used as mechanical components: for example, as the bearings in an engine. If the necessary tolerances are not met, the engine will seize and be no good to anyone. Many engineers therefore think that “additive manufacturing”, as it is sometimes known, remains a long way from ousting traditional “subtractive manufacturing”—in other words, milling, cutting and grinding things.

The Lasertec 65 Additive Manufacturing machine, though, is the start of an approach that might change the traditionalists’ minds. It is a hulking device which, on the outside at least, resembles a large industrial refrigerator (the 65 refers to the 650mm height of the internal chamber in which things can be built). But that belies the sophistication of its interior. For though it can indeed, as its name suggests, do additive manufacturing, it can also subtract, if required. A prototype of this new, hybrid device was unveiled at the Euromold engineering show in Frankfurt in December by its creator, DMG Mori Seiki, a machine-tool firm based jointly in Germany and Japan. The Lasertec will go on sale in 2014, it is expected at more than $500,000 a pop.

That price tag demonstrates two things. The first is that machine-tool makers are beginning to recognise 3D printing is going to be important in the factory of the future, not just for making models and prototypes (as is already happening) but also finished goods. The second is that additive manufacturing can complement subtractive manufacturing, as well as compete with it. If it work—and sells—the Lasertec could be the first of many such hybrids.

This particular machine builds material up using a process called laser-deposition welding. That involves spraying a fine jet of powdered metal through a nozzle and into a laser beam, which melts both the powder and the surface of the piece being worked on, welding the two together. (A sheath of inert gas surrounding the nozzle stops the molten material oxidising.) By repeating the process, layers of material can be built up. The company claims it can do this 20 times faster than is possible by using a laser to melt successive layers of powder spread onto a flat bed in the process called laser sintering, which is now the most common way metal items are 3D-printed.

Once the newly built structure has cooled, it can be machined. This happens in the same chamber, using a conventional cutting tool. The device can change tools automatically, in order to create the required shape and finish. Moreover, during both welding and machining the table to which the part being worked on is attached can be rotated around multiple axes, to increase the machine’s dexterity.

Subtractive manufacturing, in which a milling machine cuts shapes from metal blocks, may waste as much as 95% of the original material. By building something additively, even to only approximately the right shape, and then milling it, such wastage, the company reckons, can be reduced to around 5%.

Moreover, the object can be milled every time a new layer is added. This means smooth internal surfaces can be created inside what eventually becomes a solid object—something previously possible only if an item was made by joining together components that had been milled separately. With its ability to add and remove materials that include aluminium, brass, copper, stainless steel and numerous alloys, the hybrid Lasertec can also be used to repair items that are worn, or even broken. A case, perhaps, of old and new technologies coming together to produce more than the sum of their parts.

2013年12月24日 星期二

IBM says 'big data' will transform schools, hospitals — and malls


 
我讀: IBM says 'big data' will transform schools, hospitals — and malls
You can read the rest of the predictions, as well as past "5 in 5s," at IBM's A Smarter Planet page. Sure, they sound like science fiction now, but five years is a long time in tech. Come 2018, we'll see whether these ideas were too ambitious, or not ambitious enough.  




IBM says 'big data' will transform schools, hospitals — and malls

Dec. 17, 2013 at 12:01 AM ET
ibm 5
IBM
IBM has released its yearly "5 in 5" predictions for the technological innovations that could change the way we live over the next five years, and this time it's all about "big data." We generate so much information every day, yet it's rarely put to good use — IBM thinks that's about to change, with profound implications for everything from medical care to window shopping.
Big data is a term that gets thrown around a lot, and for good reason: Between online tracking, intelligent city infrastructure, and phones and tablets taking the place of paper and pen, more data is being accumulated than ever.
But much of that data has yet to be used to actually make things better. We can tell where traffic is and why it's there — but can't prevent it. We can track a student's progress with a digital permanent record — but we can't adjust their lesson plan. IBM's prediction is that the next five years will bring practical applications of these piles of bits and bytes. And the five predictions they make are:
-The classroom will learn you
-Buying local will beat online
-Doctors will use your DNA to keep you well
-A digital guardian will protect you online
-The city will help you live in it
Take the classroom, for instance. Children who do all their homework, reading and testing on a tablet or computer can be evaluated and tracked continually and independently. Is one excelling in math but lagging behind on reading comprehension? A teacher can dial up the lessons in one and examine the shortcomings in the other with a few taps — no conference needed, no staying after class.
It'll be much different from the way the last generation was schooled, but kids and teachers both seem to benefit.
"The kids adapt to it instantly," said Bernard Meyerson, IBM's chief innovation officer, in a phone interview with NBC News. "These kids are digital, they know how to do this stuff."
"If we don't focus on education the way we focus on health care and other issues, we're in deep trouble," he continued.
DNA, too, is a treasure trove of information just waiting to be truly taken advantage of. What if instead of blindly trying a cancer treatment, that treatment could be cross-referenced against your DNA — or even better, against others whose DNA is similar? The database would have to be massive (and confidential, naturally), and the computing power to wrangle it immense, but the benefits are potentially just as huge.
What about cities, where there are cameras on every corner, car-sensing plates at every traffic light and meters at every place where electricity and water are distributed? The information generated by a city's denizens as they go about their everyday lives could improve things immensely. And you don't need to go around installing high-tech gizmos, either.
"You can do some amazing stuff with the infrastructure that's already there," explained Meyerson. "You can actually make those real-time adjustments in the processes of the city, without adding anything, frankly."
What's missing isn't the hardware, it's the software. At the center of all the data created by millions of people, cars and dollars should be a brain, nipping and tucking here and there to save a few thousand gallons of water, get people home a few minutes earlier, or dispatch police or firemen before anyone thinks to call them.
Of course, it's not all such serious business. You yourself produce a lot of data that's only relevant to you: how quickly you go through a gallon of milk, how many miles you've walked in your shoes, what recipes you like. IBM is working on a sort of digital personal assistant that looks at all that info and not only reminds you to pick up more milk, but recommends spices for that curry you've been perfecting.
"We have a 'chef' function that looks at the tastes you like, and literally suggests combinations of flavors you might like," said Meyerson. Alternatively, it might let you know that shoes you'd considered buying are on sale at the shop you're about to pass by, or warn you that the shop you're already in doesn't have them in your size.
You can read the rest of the predictions, as well as past "5 in 5s," at IBM's A Smarter Planet page. Sure, they sound like science fiction now, but five years is a long time in tech. Come 2018, we'll see whether these ideas were too ambitious, or not ambitious enough.
Devin Coldewey is a contributing writer for NBC News Digital. His personal website is coldewey.cc.


 

The 5 in 5

Innovations that will change our lives in the next five years
In the future, everything will learn
This year, IBM researchers are exploring the idea that everything will learn – driven by a new era of cognitive systems where machines will learn, reason and engage with us in a more natural and personalized way. These innovations are beginning to emerge enabled by cloud computing, big data analytics and learning technologies all coming together.
A new era in computing will lead to breakthroughs that will amplify human abilities, assist us in making good choices, look out for us and help us navigate our world in powerful new ways. Read more about the IBM 5 in 5.

Contact IBM


The classroom will learn you


The classroom of the future will learn about each individual student over the course of their education, helping them master the skills that match their goals.The rapid digitization of educational institutions will allow unprecedented instrumentation of the learning process. Cognitive computing, or learning technologies, will help us calculate everything we can about how each student learns and thrives, then create flexibility in the system to continually adapt and fine-tune what we deliver to that student and how this supports teachers and employers.

Katharine Frase
VP and CTO, Global Public Sector
Katharine provides thought leadership on innovation and strategic transformation specific to the creation of new solutions.

Buying local will beat online


The technology trends will move us back to brick and mortar—but with a difference. In the future, retailers will layer increasing levels of engagement and personalization on top of the shopping experience, ultimately merging the instant gratification of physical shopping with the richness of online shopping and making same-day delivery a snap.

Sima Nadler
IBM Research Lead for Retail
Sima acts as the liaison between IBM Research and the Retail/ Commerce sales, services and development arms of IBM and its customers.

Doctors will routinely use your DNA to keep you well


Today, full DNA testing to help make treatment decisions is still rare. But cognitive systems and cloud computing may make this form of treatment mainstream. It could be done faster, more affordably and much more frequently. In addition to DNA testing for cancers, we may even see DNA-specific personalized treatment options for conditions such as stroke and heart disease.

Ajay Royyuru
Director, Computational Biology Center
Working with biologists and institutions around the world, Ajay is engaged in research that will advance personalized, information-based medicine.

A digital guardian will protect you online


Security is evolving from being based on rules, like passwords, to being automatic and made stronger through us just being us.This guardian will have your back, trained to focus on the people and items it is entrusted with based on a 360 degree of an individual’s data, devices and applications. It will make inferences about what’s normal or reasonable activity and what’s not, ready to spot deviations that could be precursors to an attack and a stolen identity.

J.R. Rao
Director, Security Research
JR works closely with customers and academic partners to drive new and innovative technologies into IBM's products and services and definitive industry standards.

The city will help you live in it


For citizens, smart phones enabled by cognitive systems will provide a digital key to the city. People can have fingertip access to information about everything that’s happening in the city, whether an experience is right for them, and how best to get there. Because these learning systems have interacted with citizens continuously, they know what they like—and can present them with options they might not find easily.

Sergio Borger
IBM Research - Brazil - Strategy & Human Systems
Sergio’s current work in sentient cities brings mobile, social and cognitive computational aspects into our modern urban lives.

Learning videos and
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Learning Technologies


IBM researcher Dario Gil explains how learning systems are different from the traditional computers that we're using widely today.

Hello, Watson

Math Games for Kids

Big Data & Cognitive Systems


IBM Research VP David McQueeney explains how the combination of big data and cognitive computing make it possible to know ourselves and our world more deeply.

STEM and the new era of computing

Mission: Innovation

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