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This article offers a closer look at how automation may work behind the scenes to improve quality, delivery, and cost.
September 15, 2020
By: Jim Stertz
Vice President of Automation/Technology, Lowell Inc.
As product development shifts from engineering to production, manufacturers take the lead on delivering parts that meet the engineer’s design intent and are on time and budget. While not always visible to the customer, one way manufacturers can meet these expectations is through automated machining processes. Automation opens new ways to create a more consistent part at the point of manufacturing. It can also help manufacturers add capacity in their existing shop footprint and reduce the labor hours per part to positively deliver on lead times and cost. This article offers a closer look at how automation may work behind the scenes to improve quality, delivery, and cost. Automation for Quality: More Consistent Results Automation can be applied at various points in manufacturing, and its application to machine tools can lead to quality improvements. A component’s machining process will vary depending on the machine, tooling, material, or environment. The machinist needs to be familiar with all aspects of the process to stay ahead of any potential drift in a feature’s size or location. They also need to be able to correctly offset the machine program to ensure ongoing conformance. The number of variables in the process can be staggering. On the simpler end, a part may require 10 tools and have 20 features and dimensions to track. Some of the most complex parts may require 50 tools and 100 features and dimensions. This quickly escalates the complexity of managing the machining process and introduces additional opportunities for error. Automating in-machine measurement can help across the range of parts. One way this happens is through in-machine probes. These probes measure tool cuts and dimensions during production at the machine level, and the software tracks which cuts and dimensions are made by which tools. The machine program reads the measured results and software conditional statements decide to continue the process, make tool offsets, or stop the activity. The analysis may show any number of results, depending on the programming. Three main categories of results include:
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