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Lightweighting’s New Phase

Earlier this decade, the auto industry moved to lighten cars and trucks. It was supposed to be a competition between steel, long the dominant vehicle material, and aluminum. The latter got a boost when Ford Motor Co., Dearborn, Mich., bet big on aluminum, making aluminum bodies for its F-150 and Super Duty pickups.

Putting Machinery on a Strong Fitness Plan Starts with Real-Time Monitoring

Having a plan for maintaining and improving the performance and reliability of every machine on a shop floor is vital to manufacturing operations. Reliable machines make short-notice production runs possible. And the more flexible manufacturers are, the more new customers they’ll attract.

Open Mind Looks Back At 25 Years, and to the Future

Twenty years ago, Open Mind first introduced CAM software capabilities to address five-axis machining in the mold and die industry and other general applications. Since that time five-axis technology has grown disproportionately larger when compared to the increase in overall manufacturing growth.

Traditional Versus Laser Welding

With much faster processing speeds and higher quality, you might think laser welding would quickly take over the field. But traditional welding hangs on. And depending on who you ask and what applications you consider, it may never go away.

Salesforce Launches Manufacturing Cloud

Salesforce (NYSE: CRM), a CRM software developer, announced Manufacturing Cloud, ​a new industry-specific product ​for manufacturers. Manufacturing Cloud brings sales and operations teams together around a unified view of market and customer demands to more accurately forecast, plan and drive predictable business performance, according to Salesforce.​

Laser Scanners Demand Attention as Technology Improves

Metrology-grade laser scanners are expanding their range of applications. New users are finding the main attractions of laser scanners—speed and ease of use. What prevented more widespread use in the past were laser scanners’ perceived tradeoffs. Using one usually meant sacrificing accuracy or working with noisy data.