United Grinding North America Inc. will officially open the doors of its new 110,000-sq.ft. headquarters in Miamisburg, (OH) on Nov. 3. The new ultramodern facility brings together under one roof the company’s cylindrical, surface, and profile grinding business units as well as its automation and rebuilding departments with the staff from its tool and cutter grinding machines and measurement systems sectors which were formerly located in Fredericksburg, (VA).
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The technology behind the rise of cryptocurrencies is widely expected to bring ‘a common source of truth’ to manufacturing.
If there is a primary goal for what companies in this sector want to deliver to their customers it is quality. But throughput comes in a fairly close second.
Practical Machinist wanted to simplify your quest by providing you with a list of the best-selling machining books of 2019 according to our community. All the books in this list are a must-have, so we strongly encourage you to add them to your machine shop library, if you don’t have them already.
Siemens Digital Industries Software, Plano, Texas has released Siemens’ NX for manufacturing software, an end-to-end solution for part manufacturing.
Manufacturers must avoid costly machine errors that cause catastrophic damage to both machine tools and expensive workpieces. Even a minor error in, say, a titanium aerospace component can be a major expense.
Implementing five-axis machining can be an excellent strategy for efficiently producing accurate, complex parts. However, it takes more than the right machine tool to realize the full potential of a five-axis process. In addition to the right machine, tooling and fixturing options, CAM software must be selected carefully.
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.