The highlight topic of the November 1997 symposium was intelligent and flexible systems, featuring smart technologies that assist engineers responding to ever increasing demands for shorter time, lower cost, and greater quality.

Contains an outline of the principles and characteristics of relevant instrumental techniques, provides an overview of various aspects of direct additive analysis by focusing on an array of applications in R ampD, production, quality control, and technical service.

Injection Molding Process Modelling presents the application of CAE, statistics and AI in defect identification, control, and optimization of injection molding process for quality production. It showcases CAE in determining the optimal placement of injection points, designing cooling channels, and ensuring that the mold will produce parts with the desired specifications. The book illustrates the capability of the CAE tools to simulate molten plastic flow within a mold during the injection molding process. Explaining how the use of CAE, statistical tools and AI enhances efficiency, accuracy, and collaboration, the book explores the contributions to injection molding in product design and visualization; prototyping and testing; mold design; and analysis and simulation. It emphasizes the integration of statistical tools for optimized efficiency and waste reduction, including statistical process control (SPC), Design of Experiments (DOE), Regression Analysis, Capability Indices, Interaction effects, and many more. The book also illustrates the predictive modelling of typical injection molded product defects using intelligent algorithms. The book will interest industry professionals and engineers working in manufacturing, production, automation, and quality control.