# Engineering Solutions for Safe Processing of Beryllium at CERN

- Institution: CERN
- Speaker: Roberto Ales Bozzi
- Year: 2026
- Language: English
- Subjects: Engineering
- Source: [CERN](https://videos.cern.ch/record/3025517)
- Licence: [CERN](https://copyright.web.cern)
- Who can watch: Tweens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

The CERN Beryllium Facility is a specialized infrastructure dedicated to the machining, chemical and heat treatment, welding, inspection, testing, and qualification of beryllium components for high-energy physics applications, particularly components exposed to high radiation and operating in ultra-high vacuum environments, such as those found in particle accelerators. The facility is engineered to address beryllium dust and chemical hazards at their source, while meeting strict cleanliness requirements.

The facility incorporates key engineering parameters, including controlled-atmosphere enclosures to prevent particulate dispersion and high-efficiency particulate air (HEPA) filtration systems that maintain negative pressure gradients for safe operation. Environmental controls regulate temperature and humidity to ensure dimensional accuracy and contamination control. Dedicated ventilation systems provide multiple air changes per hour, with continuous airborne particle monitoring to ensure concentrations remain below occupational exposure limits.

The presentation will focus on the engineering solutions developed and the challenges encountered during implementation.

00:00:00 Slide 1

00:00:53 Slide 2

00:01:17 Slide 3

00:02:10 Slide 4

00:04:36 Slide 5

00:05:05 Slide 6

00:06:06 Slide 7

00:08:20 Slide 8

00:10:31 Slide 9

00:11:05 Slide 10

00:12:03 Slide 11

00:12:16 Slide 12

00:13:03 Slide 13

00:13:31 Slide 14

00:14:22 Slide 15

00:14:38 Slide 16

00:15:18 Slide 17

00:15:49 Slide 18

00:16:41 Slide 19

00:17:14 Slide 20

## Lectures

1. [Engineering Solutions for Safe Processing of Beryllium at CERN](https://invisiblenetwork.ai/learn/cern/3025517/3a2abac2f2f9), 19 min (CERN's player)