Technical Qualification

Use virtual testing to meet design specifications while accelerating package development efforts

Engineers need to make sure that new packages can be made, packed and shipped to the store. In the past, engineers dedicated significant time, energy and resources to conduct a large number of physical tests to ensure packaged met all of their technical criteria. When a packaged design failed, engineers took a “trial and error” approach to identify the design flaw often driving up costs and delaying time to launch.

Now, Perfect Package significantly shorts both the time to market and the cost to design and qualify new package initiatives using virtual testing. It creates a common platform for packaging and manufacturing engineers to optimize designs significantly faster than physical testing methods previously allowed.

Engineers have access to the latest package designs and can run tests using simulations and automated tools. They can optimize the package and then simulate the effects on the bottle of stacking, crushing, dropping, and sloshing to prove-out their designs. This helps engineers analyze and optimize package designs in the fraction of the time and cost of traditional testing methods.

Perfect Package also helps engineers look for ways to create for sustainable packaging that delights the consumer and yet is gentle to the earth.  Package engineers can look for ways to lessen the amount of material and therefore less waste. Manufacturing engineers can analyze the bottle to make sure it can be made, packed and shipped in the most efficient way and well as lowering the total weight which lowers both transportation costs and carbon emissions.

Key Highlights and Benefits

  • Enables multiple design alternatives to be evaluated up-front in the design process
  • Improves confidence in simulation results by capturing and reusing realistic simulation IP and leverage company best practices
  • Enhances collaboration between designers and engineers by using high performance results visualization to evaluate package performance and manufacturability
  • Enables rapid turnaround time of large models using high-performance computing resources to permit more design alternatives to be considered

When the SIMULIA analysis shows that we need to make a design change, the CATIA model is adjusted to reflect that. We have reduced our design cycle times by 50%.

Suresh Krishnan Group Manager Advanced Engineering Services, Amcor