Hi Explorer! Ted will be presenting a new webinar on November 16. He will discuss how X-ray CT can help additive manufacturing (AM) research and processes.
"Manufacturing is more than just putting parts together. It's coming up with ideas, testing principles and perfecting the engineering and final assembly."
(⇓ Scroll to the bottom for the answer.)
This has always been true. All these steps can happen simultaneously with additive manufacturing, for better or worse. The ability to skip machining and assembly and create the final part in one step often requires a paradigm shift in how we evaluate the final products.
We will go live on Wednesday, November 13, at 1:00 AM CST.
This is the 11th episode of the long-running X-ray Computed Tomography for Materials Sciencewebinar series. In this episode, Ted will discuss how X-ray CT can help additive manufacturing (AM) research and processes.
AM has become important rapidly in recent years due to its ability to quickly create complex, custom parts with less material waste, which is ideal for aerospace, healthcare, and automotive industries, to name a few. However, ensuring consistent quality and mechanical properties across parts remains one of the challenges.
Quantitative evaluation of manufactured parts is critical to optimize the process parameters. However, the complex structure, especially the internal structure and pores and cracks, are often inaccessible by traditional analysis techniques. This is where the non-destructive volume scanning capability of CT comes in handy.
I hope you can join us live or register to catch the recording the next day.
"Let's Talk X-ray Imaging" Blog - What Is Everyone Else Reading?
It has been about a year since I shared the most-read "Let's Talk X-ray Imaging" blog articles. Because many new subscribers have joined since, let me share today's best five:
These five articles consistently have stayed popular, ranking high last November, albeit with position changes.
Please write back and let me know if you have topics you'd like us to research and write about.
Tips
To be efficient, inspired, and informed.
This month's material is not a tip, but I thought it was a good food for thought.
We see many news and research articles published every day about the revolutionary role of AI-driven X-ray image analysis in transforming medical practices. Here are two I saw recently:
"The rise of artificial intelligence in healthcare applications," by Adam Bohr and Kaveh Memarzadeh, Artificial Intelligence in Healthcare, 2020 Jun 26:25–60, https://doi.org/10.1016/B978-0-12-818438-7.00002-2
I'm not a trained radiologist, but the example you see in the RSNA News is incredible. AI locates lung cancer in a radiograph, which I don't see at all. A contrast-enhanced chest CT confirmed this interpretation of the radiograph.
What struck me about these advances and the use of AI for diagnostic purposes is not only the power of AI but also how much people trust it, considering its application. I find this encouraging because I see what AI can do in processing and analyzing CT images in materials science and industrial research fields. AI can help extract more information out of CT images and accelerate the traditionally time-consuming and labor-intensive image analysis.
Answer: Sir James Dyson
British inventor, industrial designer, farmer, and business person who founded the Dyson company, born 2 May 1947
"Manufacturing is more than just putting parts together. It's coming up with ideas, testing principles and perfecting the engineering, as well as final assembly."
I have a 16-year-old Dyson vacuum cleaner, which works perfectly as if I bought it yesterday. I love the story of how James Dyson and his team invented this legendary home appliance.
That's a wrap. Please let us know how we can help you learn more about X-ray CT. We love to hear from you!
