Quality Control For Variable Stiffness Structured Workpiece
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Quality Control for Variable Stiffness Structured Workpiece
This book investigates quality control methods for variable stiffness structured workpiece. With the development of modern manufacturing industries, more and more workpieces with complex geometries are being designed and manufactured. The definition of variable stiffness structured workpieces includes three key features: multiple geometrical features, multiple geometrical tolerance constraints, and multistage manufacturing processes (denoted as 3M features). The variable stiffness structured workpieces have multiple geometrical features (planar surfaces, cylindrical surfaces, cone surfaces, sphere surfaces, freeform surfaces, etc.) with multiple geometric tolerance constraints (flatness, waviness, roughness, roundness, cylindrical degree, etc.) and are manufactured by multiple manufacturing processes. The 3M features of variable stiffness structured workpieces bring challenges for products’ quality evaluation and quality control. The quality propagation of multiple quality characteristics through multiple manufacturing processes is complicated. The multiscale geometrical specifications influence the final functions of products in different ways. And the varied stiffness problem brought by complex geometry structure of the workpieces also makes the manufactured surface quality hard to control. The book is intended for undergraduate, graduate students, and researchers who are interested in developments of quality control methods and applications.
Reliability Analysis and Maintenance Optimization of Complex Systems
This book is a comprehensive guide to methodologies for analyzing reliability and optimizing maintenance in complex systems, spanning from initial design to operational stages. The book comprises 20 chapters, each addressing different research topics in the reliability and maintenance of complex systems. These chapters are authored by esteemed professors and researchers in the field of reliability engineering, and they are organized as follows: System Reliability Modeling (8 chapters), Optimal Maintenance Models (4 chapters), System Performance and Availability Analysis (3 chapters), and Reliability Testing and Accelerated Life Tests (2 chapters). The remaining chapters focus on reliability testing and life data analysis. The book offers an in-depth exploration of various techniques, algorithms, and practical industry applications, making it an invaluable resource for researchers engaged in system reliability analysis and maintenance optimization, as well as for practical engineers and industrial managers. This book will be useful to students, researchers, and engineers in understanding the latest research issues and techniques in reliability and maintenance engineering.
Statistical Quality Design and Control
Emphasizing proper methods for data collection, control chart construction and interpretation, and fault diagnosis for process improvement, this text blends statistical process control (SPC) and design of experiments (DOE) concepts and methods for quality design and improvement. Importance is placed on both the philosophical/conceptual underpinnings and the techniques and methods of SPC and DOE. The concepts and methods of Taguchi for quality design are combined with more traditional experimental design methods to promote the importance of viewing quality from an engineering design perspective.