2018-08-27 3 min read

2018-08-27


Planning & Strategy.

Making & Manufacturing.

  • After something like four years sneaking around the metal printing circuit, Velo3D finally announced what they've been working on: A step improvement in laser metal powder bed fusion, with "up to 90%" first article success rates. As it happens, I've seen their systems in operation and they've printed a few of my parts with few to no support structures whatsoever. The whole process is impressive, beginning with their dedicated build prep software (which does melt pool simulations and pre-deforms the part to compensate for thermal stresses), to their zero-contact recoater (the official word on how this works is "magic"), to their 15-minute fully automated changeover time. Oh, and also they can apparently stack parts vertically in the build like it's SLS. Each of these is a pretty big deal for metal printing, and Velo also announced that they've already got three systems out in the wild at customer sites. I'm looking forward to more here...
  • BYD announced plans for a large lithium ion battery factory. Once it and another planned facility come online, their total capacity will be about 60 GWh/year. For comparison, CATL had a capacity of about 17 GWh in 2017 (with plans to double that) and Tesla's current capacity is about 20 GWh (with plans to reach 50 GWh).
  • Boston Dynamics says that they'll build 1000 SpotMinis by the end of 2019; it's unclear what the robots will do.
  • Tailored fiber placement is a process by which functional fibers (carbon, etc) are sewn onto a substrate to be used as preforms for fiber reinforced composites.

Maintenance, Repair & Operations.

Distribution & Logistics.

Inspection, Testing & Analysis.

  • A really excellent overview of always-on home appliances: "Cable boxes alone account for almost 1.5% of the total residential energy usage in the US." Listen to the whole podcast here - it does a very good job explaining the decisions that result in this level of consumption, and the criticism it lobs towards Comcast et al is measured and totally appropriate.
  • A multi-part series (start here) on using unsupervised machine learning (plus a bunch of additional data processing) to automatically detect anomalies in CNC machining.

Tangents.

Audi's electric motor assembly process.

Read the full story

The rest of this post is for SOW Subscribers (free or paid) only. Sign up now to read the full story and get access to all subscriber-only posts.

Sign up now
Already have an account? Sign in
Great! You’ve successfully signed up.
Welcome back! You've successfully signed in.
You've successfully subscribed to Scope of Work.
Your link has expired.
Success! Check your email for magic link to sign-in.
Success! Your billing info has been updated.
Your billing was not updated.