The first episode of the Enhancing Pharma Process is available. The tip is a deep dive into the surface roughness characterization of metal AM parts.
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March 27, 2025 Issue 37

Who said that?

"The universe is under no obligation to make sense to you."

(⇓ Scroll to the bottom for the answer.)

 

I love this quote. We are eager to understand the universe and sometimes get frustrated when it doesn't make sense. But there is no point in getting mad at it.

Webinar series: Enhancing Pharma Processes with X-ray, Thermal, and Raman Analysis Tools

 

This webinar series covers some of the key analytical techniques, such as X-ray diffraction (XRD), X-ray fluorescence (XRF), thermal analysis, Raman scattering, and CT, and their applications for pharmaceutical process control and research.

 

The recording of the first episode is available, and you can register for the upcoming episodes from the links below:

  • Episode 1: Discovery: Watch the recording
  • Episode 2: Preclinical Development and Preformulation: Register for April 16 at 1 PM CDT
  • Episode 3: Formulation Development: Register for May 14 at 1 PM CDT
  • Episode 4: Manufacturing and QC: Register for June 18 at 1 PM CDT

 

✔️ See episode list

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Tips

To be efficient, inspired, and informed.

 

I'm going to talk about the characterization of the surface roughness of additively manufactured (AM) metal parts this month. This is a relatively new challenge, and organizations like ASTM are developing standards and recommended good practices. (ASTM 2020, ASTM 2023)

 

Characterizing the surface roughness of metal AM parts presents unique challenges due to their complex geometries and internal surfaces that are inaccessible by traditional methods, such as contact and optical measurement methods often fall short.

 

Characterizing the surface roughness of AM parts is crucial to compare their characteristics to the parts made by traditional techniques. Roughness is also closely related to the parts' performance. It can cause corrosion or create crack initiation sites. (Mirabal et al., Additive Manufacturing 2023, The Importance of Surface Finish in Additive Manufacturing, Enginering.com)

 

Here is why I'm talking about this: I believe X-ray CT can offer a lot of help in resolving these unique challenges. It can generate 3D surface models of AM parts, however complex the texture is. The surface even doesn't need to be flat or exposed. Here are a couple of published studies on this topic.

 

  • X-ray CT and image analysis methodology for local roughness characterization in cooling channels made by metal additive manufacturing (Klingaa et al., Additive Manufacturing 2020)
  • Internal Surface Roughness Measurement of Metal AM Channels via X-ray Computed Tomography: A Case Study (Lifton et al., e-Journal of Nondestructive Testing 2022)
surface roughness additive manufacturing X-ray CT

Real Scientists, Not Actors

A collection of priceless and embarrassing moments curated by Carlos Astudillo.

2024 CT Email Update Blooper Thumbnail_CarlosA

Answer: Neil deGrasse Tyson

An American astrophysicist, author, and science communicator (born October 5, 1958)

 

"The universe is under no obligation to make sense to you."

 

I enjoy his podcast StarTalk Radio very much. You can find it on YouTube and podcasts.

Neil_deGrasse_Tyson_in_June_2017_(cropped)

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!

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Aya Takase

Head of Global Marketing Communications

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