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David A Hullender

Name

[Hullender, David A]
  • Professor-Mechanical & Aerospace Engr.

Biography

I was born and grew up in Frederick OK, a small farming town of about 7000 people.  My dad owned his own business.  Only if the farmers had successful crops, did the town prosper.  Needless to say, money was always an issue for my family and I grew up with concern that there would not be money for me to attend college.  In the fall of 1961, I was a finalist for appointments to the Naval and Coast Guard Academies but received neither.  I was very disappointed but refused to accept the possibility that I would not be able to attend college for financial reasons.  Most likely, I enrolled as a freshman at Okla. State University because of a recommendation from one of my high school counselors with encouragement that some way somehow financial challenges would not stop me if I worked hard and refused to give up. 

I suspect that everyone can remember people, such as my high school counselor, who have made a difference in their lives.  I believe that so often the little things we do for or say to others have a profound influence on their careers and success in life, whether it be positive or negative.  In my life, it was a few simple words of belief and encouragement by a 9th grade math teacher that my math skills would enable me to become an engineer.  An aunt once told me I was great at fixing things and figuring out how to make things work.  A college professor hired me as a sophomore to work half time in his research lab.  A different college professor introduced me to a universal computer simulation program and then took extra time to help me understand and believe that I could use it to analyze and solve just about any kind of engineering dynamics problem.  Another college professor encouraged me to apply for the Ph.D. program at MIT; his words of encouragement and belief in me gave me confidence that I could complete the program.  The list of people of positive influence in my life goes on and on.  I’ve always known that I wanted to be such a person of influence to others but I had no idea how I could do it

I was offered several teaching positions while I was working on my Ph.D.  But, at that time I was working half time at a consulting firm while going to school and was not considering a teaching profession.  In the spring of 1969, the ‘space race’ was coming to a climax, the Country was engaged in the Vietnam War, and the ‘cold war’ was a high priority for the defense industry; jobs were bountiful.  I was excited about being involved in advancing technology and protecting our freedom and way of life in the USA.  I accepted an engineering position with General Dynamics in Ft. Worth.  On July 21, 1969, Neil Armstrong became the first person to walk on the moon; two weeks later I turned in my dissertation drove out of Cambridge headed to Texas by way of NY City to see a ticker tape parade for Armstrong and the other two astronauts.

I truly believe that my interest in teaching began that first year while working in the defense industry.  Utilizing the computer simulation tools that I learned at OSU and the stochastic algorithms I learned at MIT, I was immediately involved in simulating and analyzing inertial navigation and weapon delivery systems for the Cruise Missile, the F11 Bomber, and the B1 Bomber.  I was using computer algorithms that none of my fellow workers understood or had ever used.  My first year at General Dynamics was very educational, exciting, and very revealing to me as an engineer.  So, in the spring of 1970 when Carl Files, the head of the Mechanical Engineering Department at UTA, offered me an adjunct position, I was excited about sharing things that I had learned; so, I accepted the position.  During that spring semester, I passionately enjoyed teaching the algorithms and engineering tools that I was learning to apply to real world problems.  At that time I realized how much I enjoyed teaching things that I love to do.  I began to realize that as a teacher I would be in a position to share that passion and inspire students to want to learn and become passionately involved in their work and make a positive difference in their lives.  I realized that this was a way to give back what so many had done for me.

Professional Preparation

    • 1969 Ph.D. in Mechanical EngineeringMassachusetts Institute of Technology
    • 1967 M.S.M.E. in Mechanical EngineeringOklahoma State University
    • 1966 B.S.M.E. in Mechanical EngineeringOklahoma State University

Appointments

    • Jan 1970 to Present Professor
      University of Texas at Arlington
    • Jan 1969 to Jan 1970 PROJECT AEROSYSTEMS ENGINEER
      General Dynamics Information Technology
    • Jan 1968 to Jan 1969 MECHANICAL ENGINEERING CONSULTANT
      Foster Miller Associates

Memberships

  • Professional
    • Sept 1962 to Present American Society of Mechanical Engineers (ASME)

Awards and Honors

    • Jan  2018 College of Engr. nominee for Academy of Distuinguished Teachers sponsored by College of Engr.
    • Jan  2018 Nominee for the UT System Regents Teaching Award sponsored by UTADepartment of Campus RecreationTexas Christian University (TCU)
    • Apr  2017 Nominee for the UT System Piper Professor Award for Teaching Excellence sponsored by UTA
    • Jan  2016 College of Engineering nominee for the University President’s Excellence in Teaching Award for tenured faculty, Jan. 2016 sponsored by UTA College of EngineeringUTA College of Engineering Research Equipment Fund
    • Apr  2014 2014 Most Valuable Faculty Award sponsored by MAE Department
    • Apr  2008 2008 Lockheed Martin Excellence in Teaching Award sponsored by UTA College of EngineeringUTA College of Engineering Research Equipment Fund
    • Apr  1983 1983 Outstanding Teacher in the College of Engineering sponsored by Halliburton Award selected by the Joint Council of Engineers
    • Apr  1982 1982 Faculty "Who Made the Most Significant Contribution to Their Education" sponsored by Mechanical Engineering Graduating Seniors
    • Sep  1972 Young Engineer of the Year sponsored by Fort Worth Chapter Texas Society of Professional Engineers

Other Activities

    • Former Graduate Student
      • May 2016 Masters Research Advising
      • Presentations and publications
        • Dec 2016 Alternative Approach to Modeling Transients in Smooth Pipe with Low Turbulent Flow, ASME Journal of Fluids Engineering, 138(12), December 2016
        • Courses Taught
          • Sept 2016 ME/AE 5305 Modelling and Simulation of Engineering Systems
          • Sept 2016 MAE 3360 Engineering Analysis
          • Presentations and publications
            • Dec 2016 On the Decay Rate of Water Hammer Pressure Transients in Smooth Lines with Turbulent Flow, ASME J Fluids Engr
            • Chairman
              • Aug 2016 MAE Grade Grievance Committee
              • Publication Peer Review
                • Dec 2016 Water Hammer Peak Pressures and Decay Rates of Transients in Smooth Lines with Turbulent Flow
                • Former Graduate Student
                  • May 2015 Sina Jasteh
                  • Consulting Activities
                    • Feb 2015 Patent analysis for infringement
                    • Licenses/Certifications
                      • Sept 2015 Professional Engineering license
                      • Chairman
                        • Sept 2015 MAE Grade Grievance Committee
                        • Presentations and publications
                          • Jan 2018 On the Decay Rate of Water Hammer Pressure Transients in Smooth Lines with Turbulent Flow, ASME J Fluids Engr. FE-16-1833
                          • Publication Peer Review
                            • Jan 2018 On th Decay Rate of Water Hammer Pressure Transients in Smooth Lines with Turbulent Flow, ASME FE-16-1833
                            • Presentations and publications
                              • Dec 2017 Application of Math Principles to Engineering Problems, 10th Edition
                              • Dec 2017 Dynamic Systems Modeling and Simulation, 15th Edition
                              • July 2017 Application of an Analytical Model for Simulating Hydraulic Systems Containing Internal Lines with Turbulent Flow, ASME FPMC2017-4202
                              • Courses Taught
                                • Jan 2017 MAE 3319 Modelling and Simulation
                                • Jan 2017 MAE4310 Controls
                                • Dissertation Committees Chaired
                                  • Dec 2012 Yi-Wei Huang

Research and Expertise

  • EXPERTISE
    Machine vibration and stress analysis, hydraulic pneumatic and mechanical systems design and analysis, compressible and incompressible fluid dynamics, modeling and computer simulation, and analysis of random and stochastic processes.

Publications

      Journal Article 2018
      • Water Hammer Peak Pressures and Decay Rates of Transients in Smooth Lines with Turbulent Flow, ASME FE-16-1833

        {Journal Article}

      Conference Proceeding 2017
      • Application of an Analytical Model for Simulating Hydraulic Systems Containing Internal Lines with Turbulent Flow,  ASME FPMC2017-4202

        {Conference Proceeding}

      Book 2017
      • Dynamic Systems Modeling and Simulation, 15 th Edition

        {Book}
      2017
      • Application of Math Principles to Engineering Problems, 10th Edition

        {Book}

      Journal Article 2016
      • Hullender, D. A., 2016, "Alternative Approach to Modeling Transients in Smooth Pipe with Low
        Turbulent Flow," ASME J. Fluids Eng., 138(12)

        {Journal Article}

      Journal Article 2012
      • "Estimation of Maneuvering Aircraft States and Time-Varying Wind with Turbulence", Journal of Elsevier Aerospace Science and technology
        {Journal Article}
      2012
      • "Estimation of Receiver Aircraft States and Wind Vectors in Aerial REfueling", AIAA Journal of Guidance, Control and Dynamics
        {Journal Article}

      Conference Proceeding 2011
      • Estimation of Aircraft States and Wind Exposure, Je Hyeon Lee, Atilla Dogan, and David Hulldender, AIAA Atmospheric Flight Mechanics Conference, August 2011, Portland, Oregon
        {Conference Proceeding}

      Book 2010
      • Modeling and Simulation of Engineering Systems
        {Book}

      Journal Article 2010
      • Hullender, D.; Woods, R.; Huang, Y. W. Single Phase Compressible Steady Flow in Pipes. Fluids Engineering(ASME) 2010 (FE-09-1331).
        {Journal Article}

      Journal Article 2006
      • Hullender, D. Transfer Function Approximations for High or Infinite-Order Engineering Systems. Dynamic Systems, Measurement, and Control(ASME) 2006.
        {Journal Article}

      Journal Article 2005
      • Wongputorn, P.; Hullender, D.; Woods, R. Application of Matlab Functions for Simulation of Systems With Lines With Fluid Transiencts. Fluids Engineering(ASME) 2005, 127 (1), 177-182.
        {Journal Article}

      Journal Article Forthcoming
      • Application of an Analytical Model for Simulating Hydraulic Systems Containing Internal Lines with Turbulent Flow, ASME FPMC2017-4202

        {Journal Article}

Other Research Activities

  • 2015
    • Active Research (unfunded)
      • June 2015 Hydraulic Fracking

        This research pertains to the increase in pipe output flow that can be achieved by pulsing the input flow at the resonant mode frequencies of the pressure transients in the pipe.

Courses

      • MAE 4310-002 INTRODUCTION TO AUTOMATIC CONTROL

        An initial objective of this course is to learn how the eigenvalues of a system affect the dynamic behavior of a system once the system experiences a disturbance from equilibrium or is given an input for the output of the system to track or follow.  Also, an objective of this course is to learn feedback control techniques for improving the response characteristics of a system.   MATLAB algorithms will be used for implementing control laws, solving equations and plotting the output solutions.  Prior experience using MATLAB and SIMULINK will be useful but is not mandatory.  Students inexperienced with MATLAB should consider this to be the introductory course as most of the solution methods will utilize existing MATLAB algorithms; the simplest way to learn how to use MATLAB is to study examples in this notebook and in the text, Modern Control Systems 13th Ed., Dorf and Bishop

        Spring - Regular Academic Session - 2018 Download Syllabus Contact info & Office Hours
      • MAE 3319-001 Dynamic Systems Modeling and Simulation

        This course pertains to mathematical modeling, simulation, and analysis of the dynamics of engineering systems. Lumped parameter models for mechanical, fluid, thermal, electrical, and mixed systems are covered. Methods for laminar and turbulent flow in fluid lines are also covered.

        Spring - Regular Academic Session - 2018 Download Syllabus Contact info & Office Hours
      • ME 5305-001 Modeling and Simulation of Engineering Systems

        ME 5305-001 Dynamic Systems Modeling

        The objectives of this course are to teach lumped parameter modeling and simulation techniques for engineering systems which may include mechanical, fluid, thermal, and electrical components for deterministic and stochastic inputs.  Simulation techniques for hydraulic systems containing lines with laminar or turbulent flow modeled by partial differential equations are included.  As will be emphasized, to be proficient at modeling, it beneficial to know in advance which simulation algorithms are to be used; in addition, accurate modeling requires, in general, common sense knowledge of the initial and final values as well as somewhat reasonable estimates of the solution. MATLAB algorithms will be used for solving the equations and plotting the output solutions.  Prior experience using MATLAB will be useful but is not mandatory.  Students inexperienced with MATLAB should consider this to be an introductory course on MATLAB as most of the solution methods will utilize existing MATLAB algorithms and examples. 

        Fall - Regular Academic Session - 2017 Download Syllabus Contact info & Office Hours1 Document
      • MAE 3360-002 Engineering Analysis

        The objectives of this course are to introduce solution techniques for solving typical equations encountered in the analysis and simulation of engineering systems.  When obtaining solutions to equations, it is very beneficial to focus on the common sense details associated with the performance of the actual engineering system for which the equations are written.  Consequently, throughout this course, equations for actual engineering systems are utilized so that it is possible to apply common sense to the prediction and approximation of the solution to the equations before actually solving the equations.  Knowing the approximate solution provides confirmation to the actual solution in the end. 

        From the very beginning of the course, computer algorithms in MATLAB will be utilized to obtain and plot solutions for typical equations encountered when solving engineering problems.  Having experience with MATLAB prior to taking this course is not necessary.  Specific details and examples of using MATLAB for solving engineering equations and for simulating dynamic systems are included in order for the reader not experienced with MATLAB to be able to utilize the software effectively without having to be creative and start from scratch. 

        Fall - Regular Academic Session - 2017 Download Syllabus Contact info & Office Hours
      • MAE 4310-001 Introduction to Automatic Control

        An initial objective of this course is to learn how the eigenvalues of a system affect the dynamic behavior of a system once the system experiences a disturbance from equilibrium or is given an input for the output of the system to track or follow.  Also, an objective of this course is to learn feedback control techniques for improving the response characteristics of a system.   MATLAB algorithms will be used for implementing control laws, solving equations and plotting the output solutions.  Prior experience using MATLAB and SIMULINK will be useful but is not mandatory.  Students inexperienced with MATLAB should consider this to be the introductory course as most of the solution methods will utilize existing MATLAB algorithms; the simplest way to learn how to use MATLAB is to study examples in this notebook and in the text,

        Spring - Regular Academic Session - 2017 Download Syllabus Contact info & Office Hours
      • MAE 3319-001 DYNAMIC SYSTEMS MODELING AND SIMULATION

        This course pertains to mathematical modeling, simulation, and analysis of the dynamics of engineering systems. Lumped parameter models for mechanical, fluid, thermal, electrical, and mixed systems are covered.  Methods for laminar and turbulent flow in fluid lines are also covered.

        Spring - Regular Academic Session - 2017 Download Syllabus Contact info & Office Hours
      • ME 5305-001 Dynamic Systems Modeling

        The objectives of this course are to teach lumped parameter modeling and simulation techniques for engineering systems which may include mechanical, fluid, thermal, and electrical components for deterministic and stochastic inputs.  Simulation techniques for hydraulic systems containing lines with laminar or turbulent flow modeled by partial differential equations are included.  As will be emphasized, to be proficient at modeling, it beneficial to know in advance which simulation algorithms are to be used; in addition, accurate modeling requires, in general, common sense knowledge of the initial and final values as well as somewhat reasonable estimates of the solution. MATLAB algorithms will be used for solving the equations and plotting the output solutions.  Prior experience using MATLAB will be useful but is not mandatory.  Students inexperienced with MATLAB should consider this to be an introductory course on MATLAB as most of the solution methods will utilize existing MATLAB algorithms and examples. 

        Fall - Regular Academic Session - 2016 Download Syllabus Contact info & Office Hours
      • ME 3360-002 Engineering Analysis

        The objectives of this course are to teach solution techniques for solving typical equations encountered in the analysis and simulation of engineering systems.  When obtaining solutions to equations, it is very beneficial to focus on the common sense details associated with the performance of the actual engineering system for which the equations are written.  Consequently, throughout this text, equations for actual engineering systems are utilized so that it is possible to apply common sense to the prediction and approximation of the solution to the equations before actually solving the equations.  Knowing the approximate solution provides confirmation to the actual solution in the end.  From the very beginning of the course, computer algorithms in MATLAB will be utilized to obtain and plot solutions for equations.  Having taken a MATLAB course prior to this course is not necessary.  This is the course for learning to program in MATLAB by seeing examples and asking the instructor or TA for assistance with challenges or matters not understood.

        Fall - Regular Academic Session - 2016 Download Syllabus Contact info & Office Hours
      • ME 5305-001 Modeling and Simulation of Engineering Systems

        The objectives of this course are to teach lumped parameter modeling and simulation techniques for engineering systems which may include mechanical, fluid, thermal, and electrical components for deterministic and stochastic inputs.  As will be emphasized in the course, to be proficient at modeling, it beneficial to know in advance which simulation algorithms are to be used; in addition, accurate modeling requires, in general, common sense knowledge of the initial and final values as well as somewhat reasonable estimates of the solution.  In this course,  MATLAB algorithms will be used for solving the equations and plotting the output solutions.  Prior experience using MATLAB will be useful but is not mandatory.  Students inexperienced with MATLAB should consider this to be the introductory course as most of the solution methods will utilize existing MATLAB algorithms and examples. 

        Fall - Regular Academic Session - 2015 Download Syllabus Contact info & Office Hours
      • MAE 3360-002 Engineering Analysis

        The objectives of this course are to teach solution techniques for solving typical equations encountered in the analysis and simulation of engineering systems.  When obtaining solutions to equations, it is very beneficial to focus on the common sense details associated with the performance of the actual engineering system for which the equations are written.  Consequently, throughout this text, equations for actual engineering systems are utilized so that it is possible to apply common sense to the prediction and approximation of the solution to the equations before actually solving the equations.  Knowing the approximate solution provides confirmation to the actual solution in the end.  From the very beginning of the course, computer algorithms in MATLAB will be utilized to obtain and plot solutions for equations.  Having taken a MATLAB course prior to this course is not necessary.  This is the course for learning to program in MATLAB by seeing examples and asking the instructor or TA for assistance with challenges or matters not understood.

        Fall - Regular Academic Session - 2015 Download Syllabus Contact info & Office Hours
      • MAE 3319-001 Modeling and Simulation of Engineering Systems

        The objectives of this course are to teach lumped parameter modeling and simulation techniques for engineering systems which may include mechanical, fluid, thermal, and electrical components.  As will be emphasized in the course, prior knowledge of solution algorithms is very beneficial to model formulation as well as common sense prior estimates of the approximate solutions.  In this course,  MATLAB algorithms will be used for solving the equations and plotting the output solutions.  Prior experience using MATLAB will be useful but is not mandatory.  Students inexperienced with MATLAB should consider this to be the introductory course as most of the solution methods will utilize existing MATLAB algorithms. 

        Spring - Regular Academic Session - 2015 Download Syllabus Contact info & Office Hours
      • MAE 4310-001 Introduction to Automatic Control

        Application of mathematical techniques and MATLAB tools for the performance analysis and design of dynamic systems including design modifications with feedback control.  This course is intended to provide a comprehensive treatment of the analysis and design techniques for achieving dynamic systems performance specifications.

        Spring - Regular Academic Session - 2015 Download Syllabus Contact info & Office Hours
      • ME 5305-001 Modeling and Simulation of Engineering Systems

        The objectives of this course are to teach lumped parameter modeling and simulation techniques for engineering systems which may include mechanical, fluid, thermal, and electrical components.  As will be emphasized in the course, prior knowledge of solution algorithms is very beneficial to model formulation as well as common sense prior estimates of the approximate solutions.  In this course,  MATLAB algorithms will be used for solving the equations and plotting the output solutions.  Prior experience using MATLAB will be useful but is not mandatory.  Students inexperienced with MATLAB should consider this to be the introductory course as most of the solution methods will utilize existing MATLAB algorithms. 

        Fall - Regular Academic Session - 2014 Download Syllabus Contact info & Office Hours
      • MAE 3360-002 Application of Math Principles to Engineering Problems

        The objectives of this course are to teach solution techniques for solving typical equations encountered in the analysis and simulation of engineering systems.  When obtaining solutions to equations, it is very beneficial to focus on the common sense details associated with the performance of the actual engineering system for which the equations are written.  Consequently, throughout this text, equations for actual engineering systems are utilized so that it is possible to apply common sense to the prediction and approximation of the solution to the equations before actually solving the equations.  Knowing the approximate solution provides confirmation to the actual solution in the end.  From the very beginning of the course, computer algorithms in MATLAB will be utilized to obtain and plot solutions for equations.  Having taken a MATLAB course prior to this course is not necessary.  This is the course for learning to program in MATLAB.

        Fall - Regular Academic Session - 2014 Download Syllabus Contact info & Office Hours
      • AE 5305-001 Modeling and Simulation of Engineering Systems

        The objectives of this course are to teach lumped parameter modeling and simulation techniques for engineering systems which may include mechanical, fluid, thermal, and electrical components.  As will be emphasized in the course, prior knowledge of solution algorithms is very beneficial to model formulation as well as common sense prior estimates of the approximate solutions.  In this course,  MATLAB algorithms will be used for solving the equations and plotting the output solutions.  Prior experience using MATLAB will be useful but is not mandatory.  Students inexperienced with MATLAB should consider this to be the introductory course as most of the solution methods will utilize existing MATLAB algorithms. 

        Fall - Regular Academic Session - 2014 Download Syllabus Contact info & Office Hours

Other Teaching Activities

  • 2014
    • MAE3360
      • Aug 2014 APPLICATION OF MATH PRINCIPLES TO ENGINEERING PROBLEMS

        Textbook for MAE 3360

Service to the University

  • Appointed
    • July 2013 to  Present Chairman of MAE grade grievance committee

      Review and make recommendations to the Department Head regarding submitted grievances.

    • Oct 2015 to  Present Chairman of the ME/AE Ph.D. qualifying exam committee

      Make procedural recommendations to the MAE faculty.

  • Elected
    • Oct 2012 to  Present MAE representative to the COE Awards committee

      Review and make nominations for teaching and service awards for the COE.