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“Smart skin” can identify weaknesses in bridges and airplanes using laser scanner

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Recent research results have demonstrated that two-dimensional, on-demand mapping of the accumulated strain on metal structures will soon be a reality thanks to an engineered “smart skin” that’s only a fraction of the width of a human hair. By utilizing the unique properties of single-walled carbon nanotubes, a two-layer film airbrushed onto surfaces of bridges, pipelines, and airplanes, among others, can be scanned to reveal weaknesses in near real-time. As a bonus, the technology is barely visible even on a transparent surface, making it that much more flexible as an application.

Stress-inducing events, along with regular wear and tear, can deform structures and machines, affecting their safety and operability. Mechanical strain on structural surfaces provides information on the condition of the materials such as damage location and severity. Existing conventional sensors are only able to measure strain in one point along one axis, but with the smart skin technology, strain detection in any direction or location will be possible.

How “Smart Skin” Technology is Used

In 2002, researchers discovered that single-wall carbon nanotubes fluoresce, i.e., glow brightly when stimulated by a light source. Later, the fluorescence was further found to change color when stretched. This optical property was then considered in the context of metal structures that are subject to strain, specifically to apply the property as a diagnostic tool. To obtain the fluorescent data, researchers applied the smart skin to a testing surface, irradiated the area with a small laser scanner, and captured the resulting nanotube color emissions with an infrared spectrometer. Finally, two-dimensional maps of the accumulated strain were generated with the results.

Smart skin technology could be used to monitor the structural integrity in commercial jet engines. | Credit: CC0 via Pixabay, User: blickpixel

The primary researchers, Professors Satish Nagarajaiah and Bruce Weisman of Rice University in Texas, have published two scientific papers explaining the methods used for achieving this technology and the results of its proof-of-principle application. As described in the papers, aluminum bars with holes or notches in areas of potential stress were tested with the laser technique to demonstrate the full potential of their invention. The points measured were located 1 millimeter apart, but the researchers stated that the points could be located 20 times closer for even more accurate readings. Standard strain sensors have points located several millimeters apart.

What Are Carbon Nanotubes?

Carbon nanotubes (CNTs) are carbon molecules that have been structurally modified into cylinders, or rather, rolled up sheets of carbon atoms. There has been some evidence suggesting that CNTs can be formed via natural processes such as volcanic events. However, to really capitalize on their unique characteristics, production in a laboratory environment is much more efficient.

Several methods can be used for production, but the most widely used method for synthesizing CNTs is chemical vapor deposition (CVD). This process combines a catalyzing metal with a carbon-containing gas which are heated to approximately 1400 degrees Fahrenheit, triggering the carbon molecules to assemble and grow into nanotubes. The resulting formation resembles a forest or lawn grass, each trunk or blade averaging .43 nanometers in diameter. The length is dependent on variables such as the amount of time spent in the high heat environment.

An artistic depiction of a carbon nanotube. | Credit: AJC1 via Flickr, CC BY-SA 2.0

Besides surface analysis, carbon nanotubes have proven invaluable in many research and commercial arenas, their luminescence being only one of many properties that can improve and enable other technologies. Their mechanical tensile strength is 400 times that of steel while only having one sixth the density, making them very lightweight. CNTs also have highly conductive electrical and thermal properties, are extremely resistant to corrosion, and can be filled with other nanomaterials. All of these advantages open up their applications to include solar cells, sensors, drug delivery, electronic devices and shielding, lithium-ion batteries, body armor, and perhaps even a space elevator, assuming significant advances overcome its hurdles.

Next Steps

The nanotube-laced smart skin is ready for scaling up into real-world applications, but its chosen industry may take time to adopt given the general resistance to change in a field with long-standing existing technology. While awaiting embrace in the arena it was primarily designed for, the smart skin has other potential uses in engineering research applications. Bruce Weisman, also the discoverer of CNT fluorescence, anticipates its advantages being used for testing the design of small-scaled structures and engines prior to deployment. Niche applications like these may be the primary entry point into the market for some time to come. In the meantime, the researchers plan to continue developing their strain reader to capture simultaneous readings from large surfaces.

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Accidental computer geek, fascinated by most history and the multiplanetary future on its way. Quite keen on the democratization of space. | It's pronounced day-sha, but I answer to almost any variation thereof.

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Tesla’s AI lead doubles down on FSD’s speed strategy, and owners are confused

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Credit: Tesla

Tesla’s AI lead Ashok Elluswamy doubled down on the company’s strategy regarding Full Self-Driving’s speed settings, and owners are definitely confused.

Earlier versions of Full Self-Driving allowed owners to set a max speed that the vehicle could travel while operating under the semi-autonomous driver assistance platform. This allowed more customization for the driver, giving them the ability to experience FSD’s robust performance with their own personal preferences.

Speed is massively important for obvious reasons — it’s not only a question of keeping the vehicle occupants comfortable by traveling at a safe speed, but it’s also something that could contribute to a ticket or infraction from law enforcement.

With the release of FSD v14 last year, Tesla removed the ability to set a max speed and instead opted for five Speed Profiles, ranging from “Sloth,” the most conservative, to “Mad Max,” the most aggressive and spirited. These profiles not only control speed, but also how frequently the vehicle will execute passes, perform lane changes, and other contributing factors.

The removal of the Max Speed setting was a major complaint amongst the Tesla community because it left owners scrambling for a way to experience suitable behaviors while traveling at an appropriate speed. Most felt the driving profiles would be a good indicator of the behaviors, while speed would still be left up to the discretion of the driver.

Instead, Tesla’s Speed Profiles determine both, and the constant tinkering of how they behave has been a major bottleneck and point of confusion for both owners and the company. From update to update, the Speed Profiles will change, sometimes more drastically than others. Some owners have complained that the “Standard” profile is too fast, while others have experienced “Mad Max” traveling below the speed limit:

These things change with each update, but the big complaint is that owners are on the hook for any tickets that come from FSD’s infractions; that’s the caveat of the suite being named FSD (Supervised). It ultimately means the driver is responsible, and the automaker has no liability when it comes to speeding tickets or general traffic infractions.

It is the driver’s responsibility to take over or adjust based on this.

Elluswamy essentially confirmed that there are no plans to bring back Max Speed control, because it is what he referred to as “an anti pattern.” He then echoed something that CEO Elon Musk has started to really push with FSD, and that’s the idea that Tesla is really honing in on the preferences of the driver.

Owners were confused by Tesla’s decision, stating that there must be a better way, especially considering disengagements for incorrect speeds are common:

From personal experience and using FSD for over 72 percent of my driving miles since v14 was released late last year, I make Speed Profile adjustments constantly. If FSD is traveling a tad too quickly, I will scale it back, and if it’s too conservative, I’ll make it more aggressive.

I don’t complain about making the Speed Profile changes too frequently, but it would certainly be nice to have it happen less frequently. There are far too many times I am concerned about getting a ticket, even in Standard mode.

The biggest issue for me, personally, which seems to be echoed throughout the community, is the fact that Tesla’s goal is to minimize disengagements. Many drivers are stating that speed is a major reason for disengagements.

However, Tesla is not willing to bring back this one level of input because it would technically be a regression.

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Whether it’s right or wrong in your opinion, it is what Tesla is going with, and it seems like it has pivoted quite a bit from its other strategies for minimizing interventions by pushing its AI to behave in a way that would fit the occupant’s personal preferences.

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Tesla qualifies for awesome new first-time EV buyer incentive in California

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White Tesla Model X rear bumper showing California license plate

Tesla is one of several automakers whose vehicles qualify for an awesome new first-time EV buyer incentive program in California.

The Golden State launched the MyFirstEV incentive program, which helps those buying an electric vehicle for the first time with a $3,500 incentive on new-inventory purchases of a Model 3 or Model Y.

The incentive requires an order on or after August 3, and delivery must be taken while the program is still being funded. California has set aside $135.5 million to help strengthen its SEV market and support automotive innovation.

Incentives are offered at the point of sale, and used EVs are also available for a partial incentive of $1,750. Half of the $3,500 and $1,750 incentive amounts are covered by California, with the other half being covered by participating OEMs.

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Additionally, rules apply for MSRP and how the vehicle will qualify for the incentive. Any vehicle from a non-California headquartered OEM must have an MSRP of $50,000 or less. Used vehicles must be priced at $25,000 or less and must be at least two model years older than the year of purchase.

The cars must also be purchased from manufacturers as certified pre-owned vehicles. Private dealerships are not eligible.

In total, California expects to incentivize over 73,000 ZEVs.

Participating Manufacturers

Fourteen total automakers are participating in California’s MyFirstEV program:

  • Chevrolet – Launching August 2026
  • Ford – Launching August 2026
  • Honda – Launching September 2026
  • Hyundai – Launching August 2026
  • Kia – Launching August 2026
  • Lexus – Launching September 2026
  • Lucid – Launching August 2026
  • Mitsubishi – Launching November 2026
  • Nissan – Coming Soon
  • Rivian – Coming Soon
  • Subaru – Launching September 2026
  • Tesla – Launching August 2026
  • Toyota – Launching September 2026
  • Volvo – Coming Soon

 

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Investor's Corner

SpaceX to report first-ever earnings today: here’s what to expect

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Credit: SpaceX

Elon Musk’s space exploration company, SpaceX (NASDAQ: SPCX), is set to report its earnings for the second quarter today in what will be its first-ever earnings call since going public in July.

SpaceX is trading down roughly 25 percent from its IPO. These early stock signals are usually a bit tumultuous, and considering this is the first company actively launching rockets that is available on the stock exchange, investors might have a tendency to be a bit skittish.

However, there are going to be some details that investors will hear for the first time today on the earnings call. Here’s what to look for:

Wall Street Expectations

Revenue is expected to fall somewhere around $6.8 billion, and will be heavily driven by Starlink, which is SpaceX’s widely popular satellite internet platform that has been adopted by numerous airlines, cruise ships, and other maritime operations. It is also available for consumers at home or in their cars.

Earnings Per Share (EPS) expectations fall at a net loss of $0.23 per share. Wall Street sees this as a total net loss of roughly $1.9 billion.

EBITDA is expected to come in between $2 billion and $2.1 billion.

What Investors Want to Know

Tesla uses the Say platform to help work with both retail and institutional investors to answer relevant and quality questions that address concerns or questions that they might have.

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However, SpaceX is doing things differently, as the company launched its own Investor Relations website where these questions are being fielded. Just like the Tesla questions, they seem to be less focused on the operational tasks and overall progress of the company, and more novelty.

Here are the top five:

  • Has the team thought about what possibilities there are with your mascot Asteroid? Whether it’s starting additional foundations for kids in its name, helping kids learn about space, etc. Kids are our future, and Asteroid would be a fun and easy way to help.
  • Baby Asteroid is already making a difference through charity around the world. Could SpaceX take it even further with programs that inspire kids to explore space?
  • SpaceX has some legendary vehicle names. Would you ever allow the public to name a Starship, even knowing there is a 99% chance it becomes Shipy McShipface?
  • When can we expect to see more footage of the Human Landing System?
  • Will Asteroid (your mascot) go to Mars?

SpaceX will report its earnings today, August 4, at 4:30 P.M. EDT.

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