This reference offers efficient methods of design, structural analysis, and algorithm formulation to reduce waste, noise, and breakage in system function, identify faults in system construction, and achieve optimal machine tool performance-investigating aspects including force, noise, vibration, and acoustic emission to predict the durability and strength of major system components.

The Handbook of Machine Tool Analysis evaluates

• noise levels for different types of machine tools
• the effect of abrasion, fissure, and chemical diffusion on acoustic emission signals
• the role of neural networks in machine tool diagnostics
• the Kurtosis method in virtual instrumentation

and contains

• techniques to increase productivity, quality, and strength in system operation
• current analytical procedures for machine tool assessment and integration in manufacturing processes
• mathematical models of major elements in the kinematic feed chain
• modern approaches to precisely diagnose defects in the behavior of bearings, rolling guides, and gears

Written by seasoned experts in the field, the Handbook of Machine Tool Analysis is a comprehensive source for mechanical, manufacturing, industrial, design, product, aerospace, automotive, systems, test, and software engineers, and upper-level undergraduate and graduate students in these disciplines.