Hierarchical Data Analysis for the Characterization of Polymeric Materials: Linking Measurements and Statistical Methodology

Authors

  • Nicholas Filipovic Chemical Engineering, University of Waterloo
  • Alison J Scott Chemical Engineering, University of Waterloo
  • Alexander Penlidis Chemical Engineering, University of Waterloo

DOI:

https://doi.org/10.18260/2-1-370.660-122355

Abstract

As future chemical engineers, it is important that students be able to identify and quantify sources of error. A statistical analysis technique that is often overlooked is hierarchical design methodology, which allows for the separation of overall variance into several related components. While hierarchical methodology is relevant to many fields, we have demonstrated that it can be taught through the synthesis and characterization of polymeric materials. Basic statistical concepts are described, along with relevant examples.

Author Biographies

Nicholas Filipovic, Chemical Engineering, University of Waterloo

Nicholas Filipovic obtained his BASc in Chemical Engineering from the University of Waterloo and is currently an engineer-in-training with Novonix in Halifax, Nova Scotia. His research into the statistical characterization of polymers follows from the works of Profs. Scott and Penlidis, who mentored him in his final undergraduate year. He is passionate about the industrial application of engineering principles and was the recipient of the 2020 Bhattacharya Capstone Design Award at the University of Waterloo. 

Alison J Scott, Chemical Engineering, University of Waterloo

Alison Scott, PhD, is an Assistant Professor in the Department of Process Engineering and Applied Science at Dalhousie University. She earned her PhD from the University of Waterloo under the supervision of Professor Alex Penlidis. Dr. Scott is passionate about polymer reaction engineering research as well as engineering outreach and education. She holds a Certificate in University Teaching from the University of Waterloo and is interested in interactive teaching methods and problem-based learning. 

Alexander Penlidis, Chemical Engineering, University of Waterloo

Alexander Penlidis, PhD, is a Professor in Chemical Engineering, University of Waterloo. He has 35 years of experience in Polymer Reaction Engineering and polymerization reactor operation troubleshooting. He is the recipient of the 1993 Albright and Wilson Americas Award of the Canadian Society for Chemical Engineering, Fellow of the Chemical Institute of Canada and of the Canadian Academy of Engineering, Canada Research Chair, Tier 1 (2002-2016). He has completed 35 PhD students and has more than 350 refereed publications. 

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Published

2021-02-01

Issue

Vol. 55 No. 1 (2021): Winter 2021

Section

Manuscripts