English

MIT research enables 3D printers to recognize new materials

1166
2024-04-18 16:54:09
See translation

According to scientists at MIT, mathematical formulas developed by MIT researchers and other institutions can significantly improve the sustainability of 3D printing.

Issues with 3D printing of plastics
3D printers typically use mass-produced polymer powders to print parts, which are consistent and predictable, but also difficult to recycle.
Other more environmentally friendly options also exist and are still under development, but changing the printing material also requires adjusting the parameters of the 3D printer, which is a challenging process that requires changing up to 100 features, and most of them are done manually.

"Mathematical functions" for new parameters
A research team from the MIT Bits and Atoms Center, the National Institute of Standards and Technology, and the National Center for Scientific Research in Greece has developed a process that actually allows printing software to quickly identify the characteristics of new printing materials. It may have never been encountered before and many related parameters have been adjusted accordingly.

Researchers have improved the extruder of a 3D printer to measure material flow and force within 20 minutes, and then input these numbers into its "mathematical function" to generate new parameters that can be implemented in standard printing software.

The Success of Biobased Materials
Officials from the Massachusetts Institute of Technology say that this technology accounts for about half of the parameters that typically require human modification. Experiments on new materials (including materials from biological sources) have shown that this process can even successfully manufacture complex parts.

Reduce the impact of 3D printing on the environment
This method can achieve more recyclable printed products and limit the use of polymers from fossil fuels, ultimately reducing the overall environmental impact of additive manufacturing.

Source: Laser Net

Related Recommendations
  • Scientists demonstrate a new optical neural network training method that can crush electronic microprocessors

    The current deep neural network system (such as ChatGPT) can quickly improve energy efficiency by 100 times in training, and "future improvements will greatly increase by several orders of magnitude. Scientists from MIT and other institutions have demonstrated a new optical neural network training method that can crush state-of-the-art electronic microprocessors.Moreover, the computational density...

    2023-09-27
    See translation
  • Laser-induced graphene sensor can diagnose diabetes through breath samples

    In the U.S., one in five of the 37 million adults who has diabetes is not aware of it (according to the U.S. CDC – Centers for Disease Control & Prevention). Current methods of diagnosing diabetes and prediabetes usually require a visit to a doctor’s office or lab work, both of which can be expensive and time-consuming. Now, diagnosing diabetes and prediabetes may be as simple as breathing. ...

    09-08
    See translation
  • Michigan State University uses laser pulses to impact gold nanoparticles for crystal growth

    To make crystals suitable for use as optoelectronic materials, the key is to precisely control the crystallization, but this control is difficult.Producing lead halide perovskites, promising components for next-generation solar cells and photodetectors, has proven particularly challenging, with slow growth rates and uncontrolled nucleation being common issues.A project at Michigan State University...

    10-16
    See translation
  • Innoviz Technologies, a publicly listed laser radar company, has laid off approximately 9% of its workforce

    On February 5, 2025, Innoviz Technologies, an Israeli laser radar listed company, announced operational optimization measures to extend the duration of the company's cash reserve usage and accelerate profitability and free cash flow generation. To maximize efficiency, the company will reduce investment in developing mature areas. These measures will result in a reduction of approximately 9% in the...

    02-07
    See translation
  • Shanghai Optics and Machinery Institute has made new progress in laser welding of new high-temperature nickel based alloys

    Recently, the research team of Yang Shanglu from the Laser Intelligent Manufacturing Technology R&D Center of the Chinese Academy of Sciences Shanghai Institute of Optics and Precision Machinery has made new progress in laser welding of new structural materials for high-temperature molten salts. The research team used a high-power laser for the first time to achieve defect free welding of nick...

    2023-09-01
    See translation