000 02722 a2200181 4500
999 _c36225
_d36225
001 nam a22 7a 4500
020 _a9783319565163
082 _a531​.11 BI ES
100 _aBillingsley, John
_930352
245 _aEssentials of dynamics and vibrations
_cJohn Billingsley
260 _aCham, Switzerland :
_bSpringer,
_cc2018.
300 _avii, 165 p. :
_bill. ;
_c25 cm.
505 _a1 Introduction 2 The Essential Mathematics 3 Kinematics and Dynamics of Particles 4 Inertia 5 Momentum 6 Balancing 7 Three Dimensional Kinematics 8 Kinematic Chains 9 Vibration 1 10 Vibration 2 11 Couples, Moments and Euler's Equations 12 Gyroscopes 13 Gears, Motors, and Mechanisms. 1. Overview 2. Particle kinematics and dynamics 3. Linear and angular momentum 4. Inertia 5. Balancing and the inertia tensor 6. Couples, moments and Euler's equations 7. Gyroscopes 8. Kinematics 9. Kinematic chains 10. Inverse kinematics 11. Vibration 12. Modes 13. Rocket science Appendix 1: Mathematicians and operators Appendix 2: Lagrange and Hamilton.
520 _aDynamic objects move in mysterious ways. Their analysis is a difficult subject involving matrices, differential equations and the complex algebra of oscillatory systems. However, in this textbook, the author draws on his long experience of designing autopilots, robots for nuclear inspection and agricultural machine guidance to present the essentials with a light touch. The emphasis is on a deep understanding of the fundamentals rather than rote-learning of techniques. The inertia tensor is presented as a key to understanding motion ranging from boomerangs to gyroscopes. Chains of transformations unravel the motion of a robot arm. To help the reader visualize motion, ranging from unbalanced rotors to vibrating systems with multiple modes and damping, there are abundant simulation examples on a linked website. These will run in any web browser, while their simple code is on open view for modification and experimentation. They show that nonlinear systems present no problems, so that friction damping can be modelled with ease. A particular problem for mechanical engineers is that the vibration topics encroach on the territory of the electrical engineer. State variables open up control theory while the solution of differential equations with sinusoidal inputs is simplified by an understanding of sine-waves as complex exponentials. The linked web site has several areas of mathematics revision to help. A final chapter pokes fun at the misrepresentation of dynamics in cinema productions.
650 _aMathematicians
_930353
856 _uhttps://uowd.box.com/s/mmmy1sr4sfsm55dxwl2ac8mmevn52v67
_zLocation Map
942 _cREGULAR