The bane of modern engineering is complexity. One promise of artificial intelligence and machine learning is helping engineers to use complex tools and harness vast data sets effectively.
In 2018, CNC Software Inc., Tolland, Conn., reached several milestones: its 35th anniversary as a company, 250,000th installation, a new user website and the introduction of Mastercam 2019.
Technology came to the aid of Detroit Tigers management when they hoped to recapture some of the magic of the 1968 Detroit Tigers’ World Series-winning season. The 50-year anniversary celebration, held September 7-9, 2018, included on-field festivities in which the 16 surviving members of the 1968 team were presented with replicas of the World Series’ trophy.
In our May webinar titled “Lasers in Manufacturing: State of the Art in 2018,” we noted the emergence of some novel technologies to produce the “holy grail” of laser welding: spatter-free joins with no porosity and, when required, highly aesthetic outcomes.
The world of quality measurement devices and software continues to expand, and IMTS years are especially exciting times. If there is a theme in the many offerings—new devices, new software—it might be how quality devices are continuing to burrow their way into the heart of manufacturing on the shop floor.
Constant refinement of medical machining from tooling design to finished product requires not only the ability to handle a broad range of plastic and metal materials but also to achieve predictable results—particularly in the face of strict regulations.
Technology is changing ever more rapidly. Sometimes this means topics learned in engineering or technical school become obsolete. Whole new fields emerge within a few years, so that even those with freshly minted educations suddenly find themselves faced with new challenges.
Basic trends in modern manufacturing are driving growth in 3D optical metrology. “One is the highly complex and high-tech material that manufacturers are using today. For example, in the aerospace turbine blade market, they simply cannot touch the part like they used to—the surface finish of the material is too readily affected by any kind of contact metrology."
While suppliers are under more pressure than ever to produce precision parts faster and with less scrap, in-process metrology means manufacturers can detect as soon as possible when a part is going wrong, correcting the issue quickly and saving it from scrap.
Manufacturers face a difficult task juggling the current “innovation agenda.” Today, the Industrial Internet of Things (IIoT), robotic automation and artificial intelligence (AI) are all poised to be the next big thing.