Highly realistic 3-D simulation software can greatly improve manufacturing processes, lending sophisticated visualization tools that help increase manufacturing productivity and product quality.
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Real-time machine tool data collection isn’t just about helping manufacturers improve productivity and profitability, although that’s certainly a promised outcome.
Sandvik Coromant will reveal for the first time at IMTS 2016 new connectivity-based solutions designed to help manufacturers optimize their machining and decision making process. The new solutions have been developed to improve every aspect of it, from design, production planning and through machining to post-process analysis and intelligence.
The cost benefits of deploying multitask machine tools are undeniable, with multitask machines offering the ability to perform many machining operations on parts with just a single setup.
Automatic parallel parking, lane-keeping assistance, sensor-enabled maintenance, infotainment equipment and other advanced electronics are helping many automotive manufacturers differentiate their vehicles in a fiercely competitive, global marketplace.
Monsees Group (Rochester, NY) has successfully navigated the treacherous waters from being a near-captive operation to being a highly effective competitor in the world of high-precision complex part manufacturing.
With more factory assets getting connected to the Web, particularly with the coming explosion of Internet of Things (IoT) devices, today’s manufacturing management must look for rock-solid technologies for securing their factory-floor machinery and the mission-critical intellectual property assets that now often reside in cloud-based software.
Getting fast, accurate data delivered to the palm of your hand is helping drive demand for enterprise resource planning (ERP) software. With the popularity of smartphones and tablets, manufacturers are capitalizing on the ability to get critical factory operational data from ERP, manufacturing execution systems (MES) and enterprise manufacturing intelligence (EMI) applications into the hands of the right decision-makers in a timely manner.
A self-described “river rat” during his teenage years, Herbert B. Voelcker grew up in the small town of Tonawanda, NY, just north of Buffalo, where as a young man he grew to love the water, boats, and steam engines. His early fascination with how things worked eventually led him to study mechanical engineering at the Massachusetts Institute of Technology (Cambridge, MA), and to embark later on a greatly varied technical career highlighted by his research into the mathematical foundations for 3-D solid modeling.
M. Eugene Merchant began his career in 1936 at the Cincinnati Milling Machine Co. (later Cincinnati Milacron), where he went to work analyzing the nature of friction between the cutting tool and the chip. The young engineer eventually developed a mathematical model of the metalcutting process that is still taught and used today.