Computer Aided Kinematics and Dynamics of Mechanical Systems

This updated Open Access edition is based on differential-algebraic equation solution methods that represent the dynamics of mechanical systems that are reliably solved numerically with established Runge-Kutta methods not available at the time of the previous edition. Lagrange multipliers are introduced to represent constraint reaction forces needed in component design and to represent the effects of friction. The book retains its field-tested basis methods for analysis of the kinematics and dynamics of planar and spatial systems, using a Cartesian coordinate approach that is applicable to broad classes of mechanisms and machines. The approach emphasizes systematic methods that are used in computer formulation and solution of governing equations on kinematics and dynamics, thus removing the burden of routine derivation and computation from the engineer. Dr. Haug presents a broadly applicable kinematics formulation for holonomic systems that obtains differential-algebraic equation models of mechanical system dynamics, making the text ideal for practicing engineers working in a range of industries in mechanical and aerospace engineering and engineering mechanics as well as students pursuing degrees.

Professor Edward Haug’s graduate program of study in applied mechanics at Kansas State University and Mathematics at the University of Minnesota led to award of his doctorate from Kansas State in 1966. For the next decade, he served on active duty and as a senior civilian research engineer with the US Army and taught part time at the University of Iowa. In 1976 he joined the faculty of the University of Iowa as full professor, which was later extended to an endowed Carver Distinguished Professorship in Mechanical Engineering and Interdisciplinary Program in Applied Mathematics. His academic research and teaching resulted in successful  supervision of 46 PhD students to degrees in Mechanical engineering and Applied Mathematics, publication of over 270 referred journal articles, 9 books, and designation as Founding Director of the US National Advanced Driving Simulator that currently functions at the University of Iowa. His work in Mechanical system dynamics and design has been recognized by ASME Machine Design and d’Alembert career contribution awards.