North Dakota State University’s (NDSU) Jeremy Straub has published two recent papers discussing the cyber security threat to 3D printers. The two papers present the growing threat of cyber attacks to 3D printing and possible solutions to the problem. Published by SPIE, ‘Identifying positioning-based attacks against 3D printed objects and the 3D printing process’ was discussed at the Pattern Recognition and Tracking conference.
Researchers from Texas A&M University and Texas Tech University have collaborated with 3D printing company Essentium Materials. The study shows how an FDM 3D printer coupled with an electric welding processes and carbon nanotubes (CNTs) can boost a 3D prints strength. The aim of the research is to improve the z-axis strength of 3D printed parts. Success would mean 3D printed parts with similar strength to those produced with injection molding.
Thailand’s leading petrochemical company PTT Chemical Group (PTTCG) has announced a partnership with Singapore’s Nanyang Technological University (NTU Singapore) to develop materials for 3D printing automotive parts. At the announcement of the partnership in Bangkok, PTTGC also signed a research collaboration agreement to detail the first project the pair will undertake. NTU Singapore will provide its 3D printing knowledge as the operators of the Singapore Center for 3D Printing (SC3DP).
Muck Rack makes it simple to find people, tweets, or articles that mention any name, keyword, company, hashtag etc. We've compiled this guide to help you make the most of your search.
Selecting a term
Start searching tweets, articles from media outlets, articles mentioned in tweets, journalists'
names, titles and bios with some suggested searches:
Companies or Topics (e.g. iPhone, Microsoft)
Phrases (e.g. "cloud computing") — use quotes to keep the terms together
Twitter handles (e.g. @username) — returns those who have mentioned or replied to
Names (e.g. "David Pogue")
Hashtags (e.g. #sxsw, #london2012)
Bio details (e.g. vegan, Olympics, father)
Muck Rack's Advanced Search allows for many boolean operators.
Find results that mention multiple specified terms, use AND or
+. For example, ensure each result contains both Elon Musk and Mark Zuckerberg by
searching Obama AND Romney or Obama + Romney.
Use the operators OR or , to broaden your search when you'd like either of
multiple terms to appear in results. (This is the default behavior of our search when no operators
are used.) For example, search for democrat OR republican to find results that refer to
Democrats and/or Republicans.
Use NOT or - to subtract results from your search. For
example, searching Disney will yield results about the Walt Disney Company as well as Walt Disney
World Resort. To exclude mentions of Disney World, search for Disney -World or Disney
When using one of these operators with a phrase, enclose it in quotation marks. For example, you can
find results about smartphones excluding Apple's iPhone 4S by searching smartphone -"iPhone
Exact case matching or punctuation
If you're searching for a brand name or keyword that relies on specific punctuation marks or capitalization, you can
find results that match your exact query by adding matchcase: before the keyword you're searching for, like matchcase:E*TRADE .
Use parentheses to separate multiple
boolean phrases. For example, to find journalists talking about having fun in Disney World or
Disneyland, search for ("disney world" OR disneyland) AND fun.
An asterisk can be used to search for any variation of a root word truncated by the asterisk. For example, searching for admin* will return results for administrator, administration, administer, administered, etc.
A near operator is an AND operator where you can control the distance between the words. You can vary the distance the near operation uses by adding a forward slash and number (between 0-99) such as strawberries NEAR/10 "whipped cream", which means the strawberries must exist within 10 words of "whipped cream".