Mailing list archives : pcb-rnd

ID:2922
From:Peter Stuge <pe...@stuge.se>
Date:Fri, 19 Apr 2019 12:35:21 +0000
Subject:Re: [pcb-rnd] slot testing with fabs
in-reply-to:2614 from ge...@igor2.repo.hu
replies: 2925 from ge...@igor2.repo.hu
 
--vtzGhvizbBRQ85DL
Content-Type: text/plain; charset=us-ascii
Content-Disposition: inline
 
gedau@igor2.repo.hu wrote:
> second round of the gerber slot export tests. Please feed the two tarballs 
> attached to your favorite viewers and fab previews so we learn whether tye 
> work. This time I included an explicit outline layer.
 
Both tarballs are rendered the same (a 3.81mm x 3.81mm PCB with two slots)
by aisler.net. Screenshot attached. It looks good.
 
 
//Peter
 
--vtzGhvizbBRQ85DL
Content-Type: image/png
Content-Disposition: attachment; filename="g00_g85.png"
Content-Transfer-Encoding: base64
 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 
--vtzGhvizbBRQ85DL--
 

Reply subtree:
2922 Re: [pcb-rnd] slot testing with fabs from Peter Stuge <pe...@stuge.se>
  2925 Re: [pcb-rnd] slot testing with fabs from ge...@igor2.repo.hu