Displaying 311-320 of 874 results for

Methods Machine Tools Inc. (Sudbury, MA) announced two key management appointments: President Jerry Rex was named president and chief executive officer, and Dale Hedberg was promoted to vice president of operations.

US machine shops are potentially underutilizing the machinability of brass by as much as 85 percent in their part processing operations, reports a recent study from the Copper Development Association Inc. (McLean, VA).

Manufacturing operations depend on getting the right information at precisely the right moment, ensuring that products get built on time, to quality specs. With the latest enterprise resource management (ERP) software, this critical data flow is often coming via the cloud, as more manufacturers become comfortable with it as a repository for key manufacturing information.

Machining aerospace materials is a challenging task. Not only are machining operations tightly controlled, a wide variety of workpiece materials are employed, including aluminum, titanium, and carbon-fiber reinforced plastics (CFRPs). The following is a brief guide to cutting tool options for successful machining of airframe components. All of the tools referenced are manufactured by Mitsubishi Materials.

Aerospace and defense manufacturing is known for its complex designs, continual changes and the need to negotiate tight margin requirements. At Elite Aviation Products (EAP), a division of Elite Aerospace Group (Irvine, CA), we face these challenges every day.

My original intention for this column was to discuss a phrase getting a lot of buzz lately, artificial intelligence (AI). By any measure, interest in AI is expanding exponentially, both in the number of articles one can read on the subject and, according to Google Trends, the number of searches for those articles.

US manufacturers are discovering the policies of the Trump administration aren’t like a cafeteria. You don’t get choose which policies you want.

My instincts tell me we need a sense of urgency around the use of artificial intelligence (AI) in manufacturing. The urgency is driven by how quickly technology can move today, and how an unexpected breakthrough can quickly dominate.

As OEMs and suppliers alike wrestle to convert Big Data to Smart Data, Industry 4.0 and digitalization, plus cloud-based technologies for production monitoring and management, how do manufacturers best work together with end-users to achieve today’s production targets and plan future facilities?

Automotive engineering has never had so much complexity to address. Producing millions of vehicles per year is a daunting feat.