A Method for Evaluating the Quality of 3D-Printing Metal Parts

The purchasing pace at the demand end of the international thermal coal market continues to slow down and the international thermal coal price continues to decline. Prices for thermal coal at major international ports continued to fall last week as buyers in Europe slowed in recent days for April, coupled with weaker-than-expected import demand from End users in China. According to China Coal Market net monitoring:  Australia Newcastle port thermal coal price index was 253 USD/ton, compared with 309.02 USD/ton, down 56.02 USD/ton, down 18.13%. South Africa's Port Richards thermal coal price Index was $264.5 / mt, down the US $62.72 / mt or 19.17% from US $327.22 / mt. The European ARA Tri-port thermal coal price Index was $281.8 / ton. Does the price of thermal coal in major international ports continue to decline to affect the price of the 3D printing metal powder? 

Researchers at NTU Singapore have developed a fast and low-cost imaging method for assessing the quality of 3D-printed metal parts. This method can analyze the structure and material quality of 3D-printed metal parts. 
 
Most 3D-printed metal alloys consist of numerous microscopic crystals that vary in shape, size, and orientation of the atomic lattice. By mapping this information, scientists and engineers can infer the alloy's properties, such as strength and toughness. It's like looking at wood grain. When wood grain is continuous in the same direction, strength and toughness are strongest.
 
The new technology could benefit the aerospace sector - enabling low-cost rapid assessment of turbines, fan blades, and other critical components, which is of great significance to the maintenance and overhaul industry. 
 
Until now, however, analyzing the "microstructure" in 3D-printed metal alloys has been a time-consuming and laborious process, usually achieved using measurements made with scanning electron microscopes, which cost between S $100,000 and S $2 million. 
 
But the new alloy imaging method developed by Assistant Professor Matteo Seita and his team at NTU provides quality analysis in just a few minutes. They used a system of optical cameras, flashlights, and laptops that ran proprietary machine learning software developed by the team at a total cost of about $25,000.
 
The method involves treating the metal surface with chemicals to reveal its microstructure, then holding the sample facing the camera and using a flashlight to illuminate the metal in different directions to take multiple optical images. The software then analyzes the patterns produced by the light reflected off the surfaces of different metal crystals and deduces their orientation. The whole process takes about 15 minutes. The team's findings have been published in NPJ Computational Materials.
 
"By using our low-cost and fast imaging method, we can easily tell the difference between good 3D-printed metal parts and defective parts. Currently, it is impossible to tell the difference unless we evaluate the microstructure of the materials in detail, "explained Seita, an assistant professor at NTU's School of Mechanical and Aerospace Engineering and School of Materials Science and Engineering. 
 
"Even though two 3D-printed metal parts may be produced using the same technology and have the same geometry, they are never the same. In theory, this is similar to how two originally identical wooden objects could have different texture structures." 
 
New imaging methods improve 3D printing certification and quality assessment.  Assistant Professor Seita believes their innovative imaging method could simplify the certification and quality assessment of metal alloy parts produced by 3D printing, also known as additive manufacturing.
 
One of the most common techniques for 3D printing metal parts is to use high-powered lasers to melt metal powders and fuse them layer by layer until a complete product is printed. 
 
However, the microstructure, and thus the quality of the printed metal, depends on many factors, including the speed or strength of the laser, how long the metal cools before the next layer is melted, and even the type and brand of metal powder used. This is why the same design printed by two different machines or production plants may result in parts of different quality. 
 
Instead of using a complex computer program to measure crystal orientation in the light signals collected, the "smart software" developed by Assistant Professor Seita and his team uses a neural network to simulate how the human brain forms associations and processes thoughts. The team then used machine learning to program the software to feed it hundreds of optical images. 
 
Their software eventually learned how to predict the orientation of crystals in metal from an image, depending on how light scatters from the metal's surface. A complete "crystal orientation diagram" is then created, which provides comprehensive information about crystal shape, size, and atomic lattice orientation.
 
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With Russia taking the lead on Poland and Bulgaria at the end of last month, there appears to be a growing sense of compromise within the EU over whether to accept Moscow's proposed rouble settlement order. 

Italy's prime minister said recently that European companies would be able to buy gas in roubles without violating sanctions.  This apparently ignores the guidance of hardliners in the EU to "fight to the end". 

For weeks, European companies have been trying to find ways to meet Russia's payment demands for the rouble while maintaining vital gas supplies without violating sanctions against Moscow. 

Late last month, European Commission President Von der Leyen said operating under the mechanism would violate sanctions and asked European companies not to bow to Russian demands. However, the EU has yet to issue more rigorous written guidelines on how companies should pay Gazprom. 

The Italian prime minister said recently, "There is no official announcement from the European Union about what ruble settlement means for sanctions violations, and no one has said whether ruble payments violate sanctions or not. It's a grey area." 

"In fact, most gas importers are already opening rouble accounts for deals with Gazprom,"

He also used German companies as a shield. He said Germany's largest gas importer had already paid in rubles. "In fact, we saw evidence yesterday that the largest gas importer in Germany has already paid in rubles."

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