DEV Community: Eyecontact

From discarded bottles to printed trusses: reading an MIT spinout's claims carefully

Eyecontact — Tue, 29 Sep 2026 01:24:27 +0000

MIT News profiles Atlas Building Composites, a spinout that emerged from the MIT HAUS research effort.
Atlas combines waterless plastic recycling and large-scale composite additive manufacturing to make building parts.

What the process actually does

The feedstock begins with shredded single-use plastic from bottles and other objects.
The system melts the plastic and fuses it with American-made fiberglass. MIT News says the combination is made stronger than wood.
A large-scale 3D printer forms trusses for floors, walls, roofs, and bridges, among other components.
The article describes the plastic-recycling step as waterless. Co-founder A.J. Perez says this can remove some water-agency and permitting work when setting up a recycling facility.

Separate the test from the factory specification

MIT News reports that Perez's MIT research printed large composite trusses in under 13 minutes and showed they could support more than 4,000 pounds.
Perez gives the MIT demonstrated production rate as 60–80 pounds of parts per hour. He describes Atlas factory systems as specified to operate at 150–200 pounds per hour.
Those are distinct statements: a demonstrated research rate and a specified factory operating range.
MIT News says an Atlas factory cell can make structural framing components for about one small home each day. That sentence does not describe a completed house.

Current use versus deployment vision

According to the article, Atlas parts already support barns, sheds, decks, and docks.
Atlas supplied recycled composite trusses for a 40-foot bridge in a Massachusetts wetland, and MIT News says the bridge was installed in less than a day.
The founders envision factories close to where homes are needed.
The useful reading is to keep the reported research test, specified equipment rate, actual component uses, and envisioned factory network in their separate evidence categories.

Sources:

https://news.mit.edu/2026/mit-spinout-turns-plastic-waste-into-resilient-building-materials-0914

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A soft 3D-printed hand starts with a liquid that can still flow

Eyecontact — Mon, 28 Sep 2026 20:23:41 +0000

A flexible robot finger needs to stretch after it is printed, but its uncured material must also flow through the printing process.
The KAIST team used digital light processing (DLP), which exposes a liquid formulation to light to cure it into a chosen shape.
According to KAIST, increasing stretchability and durability tends to raise viscosity until the liquid becomes hard to print; thinning it improves flow while sacrificing stretchability and strength.

KAIST formulation measurements and machine-learning analysis

The researchers cured several liquid formulations in small molds and measured stretchability, hardness, light-curing speed, and flow.
Their training data included both printable formulations and highly viscous ones that were difficult to print.
Machine learning examined how the formulations related to performance and identified a combination aimed at both printability and high stretchability.
The broader workflow KAIST describes still asks researchers to verify AI-suggested candidates through tests.

The printed actuator and assembled hand in KAIST’s demonstration

KAIST reports that the selected formulation printed reliably on a DLP printer and extended to more than six times its original length when pulled without easily tearing.
The team printed a soft actuator that expanded with air and bent like a finger.
A hand assembled from several actuators lifted a 1 kg water bottle and grasped eggs, glass bottles, an egg carton, and a computer mouse in the reported demonstration.
Form-fitting wearables and custom medical devices are potential future applications named in the KAIST article.
In this KAIST DLP study, the liquid formulation needed to flow well enough to print, while the cured material needed high stretchability.

Sources:

https://kaist.ac.kr/newsen/html/news/?mng_no=66490&mode=V

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What Orthopaedic Surgeons Said Patient-Specific 3D Prints Changed Before Surgery

Eyecontact — Mon, 28 Sep 2026 16:15:58 +0000

A qualitative study of ten orthopaedic surgeons describes patient-imaging-derived 3D printed anatomical models as planning interfaces rather than replacements for imaging.

The manufacturing output was a manipulable representation of patient imaging

All participating surgeons reported that access to these models positively influenced preparation.
The most frequent account was that the object acted as an adjunct to imaging interpretation.
Surgeons described haptic exploration as supplementing visual perception from images displayed on a screen.
Some said that physically handling the model gave them additional understanding of the represented pathology or deformity.

One participant used a printed foot-deformity model with a table as a proxy for the floor to assess its relation to the ground.

Planning ranged from tactile mapping to procedural rehearsal

Several participants reported rehearsing procedures on a model more than once before surgery to test strategies and implants.
Other surgeons reported that handling the anatomy without physically rehearsing an osteotomy or other procedure was sufficient to provide the planning insight they needed.

Spine surgeons reportedly used models mainly as haptic maps, whereas arthroplasty surgeons used them to trial intended implants.
Three of the ten surgeons additionally found the models valuable for communicating pathology, deformity, or a surgical plan to team members or patients when verbal explanation was difficult.

Reported theatre effects were perceptions, not measured endpoints

Participants described increased confidence and reassurance in theatre after preparation with a model.
They particularly described a sense of familiarity when an aspect of the operation had been rehearsed beforehand.
Seven of ten surgeons mentioned a perceived reduction in theatre time, and perceived gains in surgical accuracy were also regularly mentioned.

The authors noted that perceived accuracy could be subjective and could be influenced by changes in total cognitive load in theatre.
Participants did not mention intra-operative blood loss, fluoroscopic use, or length of hospital stay.

A plausible interpretation offered in the study is that a model used early in planning may shift critical decisions from the operating theatre to the pre-operative stage.

Methodological limits define the reach of the findings

The researchers used a qualitative exploratory design with a phenomenological approach and conducted in-depth semi-structured interviews with ten surgeons at a training hospital.
Three authors independently performed inductive coding, then compared and iteratively adjusted the coding to refine, merge, or split codes.

The sample was relatively small, covered only a few orthopaedic subspecialties, and came from one centre in a developing country.
The authors therefore state that generalisability is limited.
The central finding is appropriately narrow: these surgeons perceived patient-imaging-derived 3D prints as useful aids for interpretation, planning, selected rehearsal, and sometimes communication.
Whether those perceptions consistently translate into final patient outcomes remains an open research question identified by the authors.

Sources:

https://link.springer.com/content/pdf/10.1007/s44186-026-00587-3.pdf

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AI searches for lower-power GRCop-42 printing conditions

Eyecontact — Mon, 28 Sep 2026 11:03:31 +0000

What if a metal-printing search could test fewer configurations while still finding successful conditions?
Washington State University researchers used artificial intelligence to find a more efficient, less expensive way to 3D-print GRCop-42, a high-performance copper, chromium, and niobium alloy developed by NASA.

Why the alloy is difficult to print

GRCop-42 combines high thermal conductivity with strength under extreme heat, properties that support its use in aerospace applications including liquid rocket engine combustion chambers.
Printing GRCop-42 is expensive and energy-intensive because the process requires significant laser power.
Researchers had previously tried to print the alloy at the lower wattages and laser powers used by more common commercial printers without success.

Turning failed trials into a search strategy

A single printing run can cost hundreds of dollars, while detailed post-print quality analysis can take days.
The team began its AI approach with results from 37 previously tested unsuccessful configurations.
Using those results, the AI estimated the likelihood that an untested configuration would produce a successful print.
The problem used binary success-or-failure signals while seeking to minimize the number of trials.

Balancing likely wins and unknown territory

Rather than selecting only the configurations that appeared most promising, the model chose small batches that balanced those options with uncertain areas that could improve the model.
The researchers then used the AI-selected process configurations to print GRCop-42 and evaluated the resulting samples.
According to the study’s first author, every experimental result, including failures, improved the AI model.
Some trial configurations produced melted parts that were not printable.

What the experiment found

Within the three-month, 40-experiment budget, the team identified six successful configurations across different laser power levels.
The team also successfully printed GRCop-42 at 500 watts for the first time.
The researchers knew that only a very small fraction of more than 100 million possible configurations would produce successful GRCop-42 prints.

Potential value and remaining limits

The researchers say that printing GRCop-42 at lower laser power could reduce energy use, equipment wear, and post-processing costs.
They also say the approach could broaden access for groups without specialized high-power equipment.
The researchers believe the AI-guided framework could be adapted for other metal alloys and additive-manufacturing systems.

Sources:

https://research.wsu.edu/news/researchers-use-ai-to-democratize-3d-printing-of-crucial-metal-alloy

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Why an additively manufactured fuel injector cannot ignore surface roughness

Eyecontact — Mon, 28 Sep 2026 05:29:52 +0000

A small turbine injector has to deliver a precise amount of fuel through tiny openings as a fine mist.

Metal powder-bed fusion can build walls and internal passages, but printed surfaces are not perfectly smooth.

Fabian Hampp and colleagues at the University of Stuttgart and the German Aerospace Center aim to produce an additively manufactured injector for compact gas turbines and a wide range of fuels.

The reason to care about mixing

The university says soot and nitrogen oxides from carbon-containing fuels form mainly when fuel and air are not mixed well enough.

That is why an injection system aims for a fine fuel mist and a homogeneous mixture.

Surface condition becomes a design issue when a small opening has to meter that mist.

How the printed structure is made

In conventional metal powder-bed fusion, a thin powder layer is spread and selectively melted by a laser.

After solidification, the platform drops and the sequence repeats, building walls, cavities and connecting channels.

Those printed surfaces are not completely smooth, the researchers note.

What the team actually reported

They designed an injector that works despite printed roughness and miniaturized a principle used in aircraft turbines.

The team reports very clean combustion processes in the laboratory.

The nozzle design is described as accommodating fuels with different properties, including hydrogen, natural gas and kerosene.

Do not confuse lab results with deployment

Testing so far has been limited to laboratory conditions.

The team plans to optimize the manufacturing process and nozzle geometry before prototype trials with several fuels under real-world conditions.

Sources:

https://www.uni-stuttgart.de/en/university/news/all/Cleaner-gas-turbines-using-additive-manufacturing/

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Why ultrasonic support removal depends on the support design

Eyecontact — Mon, 28 Sep 2026 03:43:05 +0000

Metal additive manufacturing leaves a difficult finishing step after printing: removing the supports.
Fraunhofer IAPT says delicate or internal structures make that step harder.
Manual work ties up staff, can produce inconsistent quality and exposes workers to risks such as fine metal powder release.
IAPT has announced an automated ultrasonic method for removing supports from additively manufactured metal components.

The vibration path

The component is coupled to an ultrasonic system, which transmits high-frequency mechanical vibration through it, particularly into its supports.
The institute combines excitation chosen for the component with specially adapted support designs.
According to IAPT, the combination produces resonance in the supports and local stress peaks at their attachment points.
That sequence makes the attachment point the useful place to look when asking how the supports separate.
IAPT reports residue-free detachment within a few minutes without manual intervention under the new method.

What the announcement establishes

The press release also claims gains in workplace safety, cost efficiency, time, stability, reproducibility and quality.
Those qualitative claims should not be converted into a numerical saving or a measured performance ratio.
IAPT says the method is used in dental technology and could be adapted across industries and 3D printing processes that employ supports.
The mechanism it describes still rests on component-specific excitation and adapted support structures.
The Sonodent project received funding in May 2026, a patent application has been filed, and IAPT plans a first Formnext presentation in November 2026.

Sources:

https://www.iapt.fraunhofer.de/en/press-media/Press_releases/Support_Structure_Removal_Using_Ultrasound.html

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Measuring 3D-printed strands while the printer is still running

Eyecontact — Mon, 28 Sep 2026 02:58:27 +0000

If a strand breaks inside a printed cushion, when can the defect be noticed?
Lawrence Livermore National Laboratory (LLNL) developed a camera-based inspection system that measures deposited strands as a 3D print is built, layer by layer.
The useful distinction is between an early screen and a final determination that a part meets its requirements.

Why the strand geometry matters

The demonstration concerns direct ink writing, a 3D-printing process that extrudes soft or paste-like material through a nozzle as thin, arranged strands.
The dimensions and layout of those strands matter to the mechanical performance of flexible cushions and pads.
Gaps, broken strands, and changes in filament diameter can affect the finished part.

Conventional checks may happen only after the part is complete and removed from the printer, using X-ray imaging, mechanical tests, or other offline methods.
That sequence can reveal a problem after manufacturing is already finished.
LLNL's earlier screen captures images as each layer is deposited, identifies the newest strands, and calculates measurements such as filament diameter.

From pixels to a spatial map

Printer-mounted cameras supply images to a machine-learning segmentation model and computer-vision tools, which convert the images into measurements and spatial maps of deposited material.
The team trained the segmentation model on nearly 15,000 human-annotated images spanning several lattice geometries.
A computer-vision algorithm then traced the printed strands from the model output and measured their diameter.
In tests involving 55 parts, those automated measurements were typically within a few micrometers of human-derived measurements.

For a large image, the team estimated roughly 20 minutes to an hour for manual measurement, versus milliseconds for the automated analysis.
Its roughly 100,000-fold average speed comparison concerns image analysis, not the duration of printing a whole part or completing every inspection step.

What an average diameter would miss

To demonstrate the spatial view, the researchers mapped one layer of a cushion designed with an approximately 25-by-25-centimeter footprint, combining about 2,500 images.
Filament diameter changed gradually across that map.
The pattern pointed to a slight tilt of the printing platform relative to the nozzle, a problem that an average across the part could hide.
The location of a measurement therefore mattered in this demonstration, not just its average value.

X-ray CT can provide detailed three-dimensional information, but high-resolution coverage has a practical object-size limit.
A printer-mounted camera can inspect parts beyond practical CT coverage, while producing a different kind of information from a CT volume.

An early gate, with later decisions still ahead

LLNL describes the present role as a first-pass check before more expensive tests.
The team proposes that sufficiently defective parts could be scrapped before printing ends and that inspection results could help decide when post-build CT is warranted.
Using measurement data in simulations or digital twins to link structure with predicted performance is a longer-term vision.
A printer making its own accept-or-reject decision is also framed as a future possibility, not a capability established by this demonstration.

Sources:

https://www.llnl.gov/article/54991/ai-powered-inspection-system-gives-3d-printers-brain-behind-eyes

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Why a large composite 3D printer sped up when a layer was too cold

Eyecontact — Wed, 23 Sep 2026 04:07:35 +0000

An Oak Ridge National Laboratory printer sped up when its deposited plastic became too cold. That correction sounds counterintuitive until the relevant moment is clear: the controller targets the temperature of a layer when the next layer arrives.

The feedback loop

A large-format robotic nozzle extrudes heated plastic composite layer by layer. The material must remain warm enough for one layer to bind to the next, yet cool enough to retain the printed shape. ORNL monitored nozzle position, print speed, and the temperature of dispensed plastic with sensors. Six small thermal cameras around the nozzle watched the deposited material as it cooled.

Computer vision located hot material in the live thermal images and estimated its temperature. When it differed from the target, the controller adjusted print speed so the layer could reach the intended temperature before another was added. This joined observation and correction within the printing process.

What the demonstration established

The team calibrated the controller and six cameras, then printed a hexagon larger than a truck tire. They began at a low speed to challenge the controller. Material was about 30 percent too cool by the next-layer step; the controller raised speed to keep the layers at a temperature suitable for fusion. The print bed lowered slightly as each plastic layer was added.

Earlier ORNL work combined thermal images with statistical models to recognize printing faults. In this demonstration the temperature reading led directly to a speed change during the print. ORNL also says the controller does not need retraining for each new design and was designed for different large-area printers, plastics, and shapes. The reported full-scale trial was the particular hexagon and low-speed start, so performance across those designs remains unmeasured in this article.

Sources:

https://www.ornl.gov/news/error-correction-tech-boosts-3d-printing-big-composite-parts

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A Printed Microfluidic Heater Depends on the Layer Between Heat and Liquid

Eyecontact — Wed, 23 Sep 2026 00:20:53 +0000

A thin plastic layer separates the heater from the liquid channel in a microfluidic device introduced by MIT on December 11, 2023. It must transfer heat while preventing liquid from leaking into the resistor. That boundary is a central manufacturing challenge in the team's one-step, multimaterial 3D printing process.

Microfluidic devices manipulate small amounts of fluid and facilitate chemical reactions. Many applications need reactions at particular temperatures. The MIT article describes conventional complex devices made in clean rooms and fitted with gold or platinum heating elements through an expensive, complicated process.

Two materials with a shared base

The researchers used ordinary polylactic acid, or PLA, and PLA containing copper nanoparticles. Ordinary PLA is electrically insulating. Adding copper makes the modified material conductive. When current passes through a resistor made from copper-doped PLA, energy dissipates as heat.

The fabrication method is multimaterial extrusion: several nozzles deposit different materials layer by layer. The team printed the heating resistor first, then printed the microfluidic structure directly above it. Both materials have the same polymer base, similar printing temperatures, and compatible processing conditions.

A continuous barrier with competing requirements

Between the resistor and the microfluidic structure, the printer adds a thin, continuous PLA layer. It must be thin enough for heat to pass from the resistor to the fluid, yet thick enough to prevent leakage into the resistor. The researchers identified manufacturing this layer as especially challenging.

The complete device was printed in one operation without post-assembly. It was about the size of a U.S. quarter and could be produced in minutes. Its channels were approximately 500 micrometers wide and 400 micrometers tall. The reported cost of about $2 refers to materials.

PLA is translucent, leaving the fluid visible. The researchers noted that many chemical processes use visualization or light to infer what is occurring during a reaction.

What the heating result does and does not establish

The prototype could raise the fluid temperature by 4 degrees Celsius between the inlet and outlet. This is a temperature increase across the device. The customizable method could also support particular heating patterns or gradients.

The polymer limits the operating temperature. PLA begins to degrade when heated above about 50 degrees Celsius. The article contrasts this with reactions used in PCR tests, which require 90 degrees Celsius or more.

Precise temperature control would require integrating a third material for temperature sensing. The researchers were also exploring materials that could withstand higher temperatures. These are future development needs alongside the demonstrated heating result.

This case connects material choice to layer placement: the copper-doped polymer provides heat, the channel carries fluid, and the continuous layer between them must transfer heat while preventing leakage. All three are formed within the same printing process.

Sources:

https://news.mit.edu/2023/scientists-3d-print-self-heating-microfluidic-devices-1211

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A 3D-Printed Switch Starts With a Polymer That Changes Resistance

Eyecontact — Tue, 22 Sep 2026 22:23:40 +0000

The team discovered its switching material while printing magnetic coils. Active components control electrical signals. In research introduced by MIT on October 15, 2024, a copper-doped polymer supplied a switching behavior that researchers could combine with extrusion 3D printing.

Passing a large current through the material caused its resistance to rise sharply. Shortly after the current stopped, resistance returned to its original level. That reversible observation became the basis for printed resettable fuses and switches without semiconductor materials.

An unexpected result during coil printing

The project began while the team was making magnetic coils with extrusion printing. This process melts filament, pushes it through a nozzle, and builds an object layer by layer. The filament in this case contained copper nanoparticles in a polymer.

Transistors switch on and off to process binary data and form logic gates that perform computation. The printed devices implemented switching functions while remaining well below the performance of silicon-based transistors.

The material combination matters

The team tested other printable polymers containing carbon, carbon nanotubes, and graphene. None of the alternatives they tested functioned as a resettable fuse. The observed result therefore belongs to the copper-doped polymer combination, rather than to conductive filament as a general category.

The researchers proposed two related explanations. Heating by the electric current might spread copper particles apart and increase resistance. Cooling might bring the particles closer again and lower it. They also suggested that the polymer changes from a crystalline to an amorphous state during heating and returns to a crystalline state as it cools.

These explanations remained hypotheses. The resistance change itself was observed, but the proposed account did not fully explain why it occurred only in that material combination. The team explicitly identified that question as needing more research.

From a material response to a printed switch

The devices consist of thin printed traces of the copper-doped polymer. Intersecting conductive regions let the researchers regulate resistance by controlling the voltage supplied to the switch. They used the phenomenon to print switches in a single step that could form semiconductor-free logic gates.

In the experiments, the devices showed no signs of deterioration after 4,000 switching cycles. That is evidence from the reported repeated-operation experiment, not an unlimited service-life rating.

Size and capability remain separate constraints

Extrusion physics and material properties limited how small the switches could become. The team could print devices at a scale of a few hundred microns. The article compared that with transistors in advanced electronics whose diameters are only a few nanometers.

Performance also remained below silicon-based transistors. The article identified simpler control tasks, such as turning a motor on and off, as possible applications. Fully functional printed electronics and a working magnetic motor made only with extrusion printing were future goals.

This work makes a specific manufacturing connection: the same process that places a conductive polymer into a structure can also arrange a material response into a switch.

Sources:

https://news.mit.edu/2024/mit-team-takes-major-step-toward-fully-3d-printed-active-electronics-1015

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A Fist-Sized Vacuum Pump Designed Around What a Squeezed Tube Does Next

Eyecontact — Tue, 22 Sep 2026 21:40:47 +0000

A peristaltic pump moves fluid without letting it touch the pump's mechanical parts. Rollers squeeze a flexible tube against a housing as they rotate. Behind each roller, the pinched tube expands again. That expansion creates a vacuum that draws liquid or gas through the tube.

The mechanism is simple to picture, but difficult to shrink for a mass spectrometer. Inside a mass spectrometer, atoms from a sample become ions whose motion is controlled in a vacuum. Collisions with gas molecules alter that motion, reducing analytical specificity and increasing false positives. A portable instrument therefore needs a compact pump that can maintain sufficiently low pressure.

MIT introduced its additive-manufacturing approach on April 25, 2023. The researchers printed a miniature peristaltic vacuum pump about the size of a human fist.

Why more speed and force were poor fixes

When conventional rollers squeeze the tube, its material redistributes under the load. Gaps form and allow leaks. Running the pump faster can move fluid faster than it escapes, but produces excessive heat that damages the pump while leaving the gaps in place.

Applying more force creates another conflict. The mechanism must compress bulged areas to seal the tube fully, and that additional force causes more damage. The design problem was therefore not merely how to squeeze a smaller tube. It was how to stop the tube material from moving into a shape that demanded extra speed and force.

Notches change how the tube deforms

Using a multimaterial 3D printer, the team made the flexible tube from a special hyperelastic material that can withstand large deformation. They then added notches to the tube walls. The notches reduced stress during compression because the material no longer needed to redistribute to counter the rollers' force.

Printing precision allowed the researchers to produce the notch size needed to eliminate the gaps. They also varied wall thickness, strengthening the locations where connectors attach and further reducing stress. Material and geometry addressed different parts of the same failure: repeated deformation and the leaks caused by unwanted redistribution.

One-pass printing still needed temporary support

The entire tube was printed in one pass. This avoided post-assembly defects that could cause leaks. Yet printing a narrow, flexible tube vertically introduced wobble. The researchers printed a lightweight stabilizing structure with it, then peeled that support away without damaging the device.

Reading the performance comparisons correctly

The final design produced a vacuum with pressure one order of magnitude lower than state-of-the-art diaphragm pumps. Lower pressure means a higher-quality vacuum. According to the researcher quoted in the article, standard diaphragm pumps would require three units connected in series to reach the same vacuum.

The pump reached a maximum temperature of 50 degrees Celsius, half the temperature of state-of-the-art pumps used in other studies. It also needed half as much force to seal the tube fully. Earlier in the article, the researchers separately reported pressure one order of magnitude lower than a dry rough pump.

These are bounded comparisons against specified pump types and conditions, not a claim of superiority over every vacuum pump.

The result is a printed miniature pump that addresses leaks, heat, sealing force, and print stability together. Possible portable analysis and Mars-bound survey uses were prospective. The demonstrated device was the pump itself, while the complete miniaturized mass spectrometer was still being developed.

Sources:

https://news.mit.edu/2023/3d-printed-miniature-vacuum-pump-0425

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Printing an Electromagnet: Three Materials, Eight Layers, One Functional Geometry

Eyecontact — Tue, 22 Sep 2026 20:48:56 +0000

A doorbell turns electricity into motion with a solenoid. Press the button and current flows through a coil, creating a magnetic field that moves an iron rod into the chime. The principle is familiar. Printing that component in one process is harder because the current path, electrical separation, and magnetic core require different materials to meet without losing their roles.

On February 23, 2024, MIT introduced research on a fully 3D-printed, three-dimensional solenoid made with a modified multimaterial extrusion printer. The result was a component, not an entire device. Its lesson is how material roles, feed mechanics, temperature control, and coil geometry fit together.

Three materials, three jobs

The conductive material forms the coil. Thin dielectric layers serve as insulation between thicker conductive layers. A soft magnetic material forms the central core and improves magnetic performance.

In cross-section, thicker conductive layers alternate with thin insulating layers around that core. The printer stacked them as an eight-layer spiral, comparable to a spiral staircase. Moving upward as well as around the core places more turns within a limited footprint. More turns improve the solenoid's magnetic-field amplification.

The feed system is part of the design

Material selection immediately created hardware constraints. The better-performing soft magnetic nylon contained metallic microparticles in a pliable polymer. It was nearly impossible to make into filament, so the team converted one nozzle to extrude pellets.

The conductive filament began melting early and jammed the nozzle. Ventilation cooled it, while a closer spool holder reduced friction that could damage the thin strand. Dedicated nozzles reduced cross-contamination; four were used because the team tested two soft magnetic materials.

Temperature timing mattered as much as feeding. Each material printed at a different temperature. Depositing the next layer at the wrong moment could smear the materials.

Why eight layers changed the result

The modified printer's precision enabled a solenoid about 33 percent smaller than other 3D-printed versions. The smaller volume could contain more coil turns, while the more effective soft magnetic material improved the core. The printed devices tolerated twice the electric current and generated about three times the magnetic field of other 3D-printed devices.

Those comparison words matter. The baseline was other 3D-printed solenoids, not all conventionally manufactured solenoids. Traditional fabrication still produces a stronger magnetic field.

What “printed in one step” means

The process removed post-assembly between separately made coil, insulation, and core structures, avoiding defects that assembly can introduce. It still required pellet delivery, cooling, spool placement, dedicated nozzles, and synchronized deposition temperatures.

The researchers suggested roles such as power converters in small sensors or actuators in soft robots while pursuing better materials and tighter temperature control.

Sources:

https://news.mit.edu/2024/mit-engineers-3d-print-electromagnets-solenoids-0223

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