Sakib Shadman's Research

Biography:

Sakib Shadman

Research:

Sakib's explanation of his research project: "Through my research project, I expect to discover a predictive model for the creep behavior of pallets, which would allow us to forecast pallet performance over time based on short-term testing data. Currently, industry standards like ISO and ASTM require long-duration tests (24-48 hours) to determine whether a pallet can hold a certain load for a set period, often leading to the destruction of the pallet in the process. My goal is to reduce the time and resources required for this testing by developing a model that can predict the long-term performance of pallets—whether made from wood or composite plastics—based on data collected over a much shorter period, such as 1-2 hours.

This would greatly benefit the packaging and logistics industries by improving the efficiency of pallet standardization, reducing costs, and saving time. Predicting pallet behavior early on would allow companies to optimize material usage and improve the durability of pallets without extensive and repetitive testing, leading to quicker product cycles and less waste.

To achieve this, my first step will be to conduct a series of experimental tests to gather data on how different pallet materials, such as High-Density Polyethylene (HDPE) and Polypropylene (PP), behave under various conditions. I'll then analyze this data to identify patterns and trends that can help inform the development of my predictive model.

As I progress through my research, I expect the findings to provide a more efficient, cost-effective way to test and improve pallets. Although I am still in the early stages of experimental validation, I believe that once complete, this model will streamline testing processes and help industries enhance the reliability of their supply chain operations. Ultimately, the results will not only reduce the burden of testing but also improve the sustainability and performance of material handling systems across the industry."