Modern Aspects of Electrochemistry 40

1. Front Matter

   Pages i-xx

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2. PEM Fuel Cell Bipolar Plates

   • D. Bloomfield, V. Bloomfield

   Pages 1-35

3. Basic Applications of the Analysis of Variance and Covariance in Electrochemical Science and Engineering

   • Thomas Z. Fahidy

   Pages 37-74

4. Nanomaterials in Li-Ion Battery Electrode Design

   • Charles R. Sides, Charles R. Martin

   Pages 75-126

5. Direct Methanol Fuel Cells: Fundamentals, Problems and Perspectives

   • Keith Scott, Ashok K. Shukla

   Pages 127-227

6. Review of Direct Methanol Fuel Cells

   • Brenda L. Garc’ia, John W. Weidner

   Pages 229-284

7. Direct Numerical Simulation of Polymer Electrolyte Fuel Cell Catalyst Layers

   • Partha P. Mukherjee, Guoqing Wang, Chao-Yang Wang

   Pages 285-341

8. Back Matter

   Pages 343-351

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This volume begins with a tribute to Dr. Brian E. Conway by Dr. John O'M. Bockris, which is followed by six chapters. The topics covered are state of the art Polymer Electrolyte Membrane (PEM) fuel cell bipolar plates; use of graphs in electrochemical reaction networks; nano materials in lithium ion batteries; direct methanol fuel cells (two chapters); and the last chapter presents simulation of polymer electrolyte fuel cell catalyst layers. David and Valerie Bloomfield begin the first chapter with a discussion of the difficulties encountered when confronting bipolar plate development and state that the problems stem from the high corrosive nature of phosphoric acid. The water problems are mitigated but the oxidation problems increase. Bipolar plates are still not cheap, reliable or durable. In Chapter 2, Thomas Z. Fahidy reviews analysis of variance (ANOVA) and includes one way, two way, three way classification, and Latin squares observation methods. He moves on to a discussion of the applications of the analysis of covariance (ANCOVA) and goes over certain variables such as velocity, velocity and pressure drop, and product yields in a batch and flow electrolyzer. His conclusion is that proper statistical techniques are time savers which can save the experimenter and the process analyst considerable time and effort in trying to optimize the size ofstatistically meaningful experiments.

• Chemical reaction
• Methanol
• chemistry
• direct methanol fuel cell
• electrochemistry
• fuel cell
• polymer

• Department of Chemical Engineering, University of South Carolina, Columbia, USA

  Ralph E. White

• University of Patras, Patras, Greece

  C. G. Vayenas

• Colorado

  Maria E. Gamboa-Aldeco

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