D. Gary Harlow


Email: dgh0@lehigh.edu
Phone: (610) 758-4127
Fax: (610) 758-6224

Professor and Department Chair
Department of Mechanical Engineering and Mechanics

Appointed to Lehigh Faculty: 1982

Education:
Ph.D. Applied Mathematics, Cornell University, 1977
M.S. Applied Mathematics, Cornell University, 1976
B.A. Mathematics, Western Kentucky Univ., 1973

Related experience - teaching, industrial, etc.:
NRC Research Fellowship - Naval Postgraduate School, 1988
ASEE Summer Faculty Research Fellow - Naval Research Laboratory, 1985
Assistant Professor; Mechanical Engineering and Mechanics - Drexel University, 1979-1982
Research Associate; Mechanical and Aerospace Engineering - Cornell University, 1977-1979
Adjunct Professor; Mathematical Sciences - Tompkins-Cortland Community College, 1974-1979

Research interests:
Probability and statistical modeling of failure processes in materials, aluminum alloys, steels, and composites; Stochastic fracture mechanics; Mechanical and system reliability; Applications of stochastic processes; Applied probability modeling

Scientific and professional societies of which a member:
ASME
TMS
SAE
Sigma Xi
Sigma Pi Sigma
Pi Mu Epsilon

Honors and awards:
SAE "Excellence in Oral Presentation" award - 2007
LU Pi Tau Sigma "Professor of the Year" award - 2006

Selected Recent Papers:

  1. R.P. Wei and D.G. Harlow, Mechanistically Based Probability Modeling, Life Prediction and Reliability Assessment (invited Topical Review), Modeling and Simulation in Materials Science and Engineering 13 (2005) R33-R51.

  2. D.G. Harlow, Probability Versus Statistical Modeling: Examples from Fatigue Life Prediction, International Journal of Reliability, Quality and Safety Engineering 12 (2005) 1-16.

  3. D.G. Harlow, R.P. Wei, T. Sakai, and N. Oguma, Crack Growth Based Probability Modeling of S-N Response for High Strength Steel, International Journal of Fatigue 28 (2006) 1479-1485.

  4. D.G. Harlow, M.Z. Wang, and R.P. Wei, Statistical Analysis of Constituent Particles in 7075-T6 Aluminum Alloy, Metallurgical and Materials Transactions 37A (2006) 3367-3373.

  5. D.G. Harlow, Particle Statistics in Aluminum Alloys, International Journal of Reliability, Quality and Safety Engineering 13 (2006) 379-395.

  6. R.P. Wei and D.G. Harlow, Comments on “A Probability Model for the Growth of Corrosion Pits in Aluminum Alloys” J. Rajasankar and Nagesh R. Iyer [Engng. Fract. Mech. 2006; 73: 553-570], Engineering Fracture Mechanics 74 (2007) 2911-2913.

  7. D.G. Harlow, Probabilistic Property Prediction, Engineering Fracture Mechanics 74 (2007) 2943-2951.

  8. D.G. Harlow, Data Fusion and Modeling for Fatigue Crack Growth Prediction, Reliability and Robust Design in Automotive Engineering, 2007, SP-2119, SAE International, Warrendale, PA, (April 2007) 459-464, and SAE 2007 Transactions Journal of Passenger Cars – Mechanical Systems SAE International, Warrendale, PA, (2007) 1151-1520. 2007 SAE Excellence in Oral Presentation Award.

  9. D.G. Harlow, P.K. Liaw, W.H. Peter, G. Wang, and R.A. Buchanan, An Approach To Modeling The S-N Behavior of Bulk-Metallic Glasses, Acta Materialia 56(2008) 3306-3311.

  10. M. Liu, J.E. Bozek, J.D. Hochhalter, M.G. Veilleux, G. Heber, S.D. Sintay, A.D. Rollett, D.J. Littlewood, A.M. Maniatty, H. Weiland, J. Payne, D.G. Harlow, P.A. Wawrzynek, A.R. Ingraffea, A Geometric Approach to Modeling Microstructurally Small Fatigue Crack Formation, Part I: Probabilistic Simulation of Constituent Particle Cracking in AA 7075-T651, Modeling and Simulation in Materials Science and Engineering 16 (2008) 1-28.

  11. R.P. Wei, C. Miller, Z. Huang, G.W. Simmons, and D.G. Harlow, Mechanical and Chemical Aspects of Oxygen Enhanced Crack Growth in Nickel-Based Superalloys, Engineering Fracture Mechanics 76 (2009) 715-727.

  12. D.G. Harlow and R.P. Wei, Probability Modeling and Material Microstructure Applied to Corrosion and Fatigue of Aluminum and Steel Alloys, Engineering Fracture Mechanics, 76 (2009) 695-708.

  13. D.G. Harlow, J. Nardiello, and J. Payne, The Effect of Constituent Particles in Aluminum Alloys on Fatigue Damage Evolution: Statistical Observations, International Journal of Fatigue, 32 (2010) 505-511.