Mark Francis
Pat NolanFocused Simulation of Drop and Impact Events
Written by DDL Project Manager, Andrew Rothe. Andrew attended this year’s Packaging Jamboree at UW Stout and wrote this recap of Bryan Williams of Lansmont Corporation’s presentation on Focused Simulation of Drop and Impact Events.
Shake, rattle and drop, that’s our business. But has anyone wondered how we can bring the distribution system off the roads, rails, and skies? One way to accomplish this is the use a Lansmont Saver which was the topic of Bryan Williams lecture at this past week’s Packaging Jamboree at University of Wisconsin Stout.
Bryan started by passing a verity of savors around the room. He explained that a savor is used to pick up shock events that would be felt in any distribution testing cycle. Along with these more advanced savors could also tell us at what altitude the shock was felt, the exact quarantines of that impact, and even what the temperature and humidity was.
Once all this data is collected it can be uploaded to a computer and a graph will depict the cycle. This data can then be used for a few things. One and perhaps the most obvious is to analyze the trek that the savor had just got back from. Filtering through all this information, which could be as high as 90 days of collected information, and it maybe decide this is not the best path for our trucks to go on. Or we need to add more support the package. The other thing this information can be used for is recreating the trek. This can be done by uploading the data to a vibration table which can simulate each impact or a time stamp and test for only a small interval of a journey.
Bryan pointed out that Lansmont lived in a closed loop cycle. They must measure, test, monitor and then start again by measuring. It is a continues process and to stay ahead they must always be collecting data and evolving their products.
The saver by Lansmont is an efficient device that helps our industry better itself by creating real life simulations. With the information it produces we can better predict what we are up against and create safer packages.