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Automation of Cushion Design Curves Using a Neural Network S. Malasri 1, Y. Zhou 2, J. Malasri 1, and A. Ray 1 1 Christian Brothers University 2 FedEx.

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Presentation on theme: "Automation of Cushion Design Curves Using a Neural Network S. Malasri 1, Y. Zhou 2, J. Malasri 1, and A. Ray 1 1 Christian Brothers University 2 FedEx."— Presentation transcript:

1 Automation of Cushion Design Curves Using a Neural Network S. Malasri 1, Y. Zhou 2, J. Malasri 1, and A. Ray 1 1 Christian Brothers University 2 FedEx Express Presented at MAESC 2006 Conference – 3/31/06 © 2006 by S. Malasri

2 Packaging @ CBU Packaging Engineering Certificate Packaging Seminars for Professionals Activities for Pre- college Students Packaging R&D Projects www.cbu.edu/engineering/packaging

3 Lab Facilities

4 Cushioned Package Development

5 Polyethylene Foam

6 Cushion Design Curves

7 Using a Curve

8 Artificial Neural Networks Ability to learn Recognize patterns, including design curves

9 Previous Work Automation of stress concentration design curve

10 Current Work Automation of cushion design curves

11 Prototype Polyethylene foam 1.7 pcf density Average of Drops of 2-5” Heights: 12”, 18”, 24”, 30”, 36”, and 42” Based on the design curves from Sealed Air Corporation

12 Cushion Curve NN

13 Training Data Input Output 60 cases were used for training 5 other cases were used for validation

14 Training NeuroShell 2 software Backpropagation network 2 input cells, 10 hidden cells, 3 output cells Learning rate = 0.1 Momentum coefficient = 0.1

15 Validation 75% were within 5% error 17% were between 5-10% error 7% were between 10-20% error 1% were between 20-30% error 92% were within 10% error

16 Future Work Fine turning the network to improve its performance Networks for other cushion densities Based on various networks, develop a computer program to come up with an optimal design

17 Full Paper

18 Questions?


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