The Configuration Space Method for Kinematic Design of Mechanisms
A novel algorithmic approach to mechanism design based on a geometric representation of kinematic function called configuration space partitions.
This book presents the configuration space method for computer-aided design of mechanisms with changing part contacts. Configuration space is a complete and compact geometric representation of part motions and part interactions that supports the core mechanism design tasks of analysis, synthesis, and tolerancing. It is the first general algorithmic treatment of the kinematics of higher pairs with changing contacts. It will help designers detect and correct design flaws and unexpected kinematic behaviors, as demonstrated in the book's four case studies taken from industry. After presenting the configuration space framework and algorithms for mechanism kinematics, the authors describe algorithms for kinematic analysis, tolerancing, and synthesis based on configuration spaces. The case studies follow, illustrating the application of the configuration space method to the analysis and design of automotive, micro-mechanical, and optical mechanisms. Appendixes offer a catalog of higher-pair mechanisms and a description of HIPAIR, an open source C++ mechanical design system that implements some of the configuration space methods described in the book, including configuration space visualization and kinematic simulation. HIPAIR comes with an interactive graphical user interface and many sample mechanism input files. The Configuration Space Method for Kinematic Design of Mechanisms will be a valuable resource for students, researchers, and engineers in mechanical engineering, computer science, and robotics.
Hardcover$9.99 S | £7.99 ISBN: 9780262013895 216 pp. | 6 in x 9 in 156 b&w illus., 2 tables
The elegance of configuration space is well known, especially in path planning problems. Amazingly, configuration space is also an effective technique for the analysis and design of kinematic mechanisms. It was Sacks and Joskowicz who developed the technique, and their book is essential for anyone interested in either the methods or the applications.
Matthew T. Mason
Director, Robotics Institute, Carnegie Mellon University