Additive Manufacturing of Aerospace Composite Structures: Fabrication and Reliability introduces the reader to the current state of technologies involved in processing and design of polymer-reinforced fiber composites using additive manufacturing’s automated fiber placement methods, through ten seminal SAE International papers. Currently, the material layup strategy in terms of process selection and manufacturability is usually not prioritized in the design phase. Engineers do not have a good way to see how their design choices can affect the manufacturing process beyond their initial structural-level considerations. The result is typically a large amount of experimental testing necessary to qualify the materials and structures typified in the classical building-block approach. Such an environment makes mistakes difficult to solve and, should redesign be required, obtaining reliable information is hard to piece together.
The ability to successfully predict industrial product performance during service life provides benefits for producers and users. This book addresses methods to improve product quality, reliability, and durability during the product life cycle, along with methods to avoid costs that can negatively impact profitability plans. The methods presented can be applied to reducing risk in the research and design processes and integration with manufacturing methods to successfully predict product performance. This approach incorporates components that are based on simulations in the laboratory. The results are combined with in-field testing to determine degradation parameters. These approaches result in improvements to product quality, performance, safety, profitability, and customer satisfaction.
Sophisticated infotainment systems, lane departure warning, adaptive cruise control, and blind-spot monitoring are increasingly common in cars today. The proliferation of automotive electronics and other “smart” features has increased the market for automotive semiconductor devices and the number of sensors per vehicle. Yet, more chips and greater functionality translate to further networking/communications activity within the car, and that raises the prospect of potentially serious errors.
Electrical and electronic reliability is a critical issue for automakers and suppliers as well as car buyers and dealers. The burden of reliability falls most heavily on automotive E/E engineers, system and software developers, component suppliers, and tools vendors. This book explores ways that the automotive industry continues to add E/E features while maintaining if not improving overall reliability. This book helps executives, decision-makers, and managers to quickly grasp the key drivers associated with E/E reliability in the automotive market. Academics who teach electronics and automotive engineering will also be interested in the book, as well as those in government who legislate and regulate automotive electronics. Author John Day interviewed nearly 50 experts on all facets of E/E systems and reliability during preparation of this manuscript. In addition, he culled information from press releases and presentations.
Vehicle reliability problems continue to be the news because of major vehicle recalls from several manufacturers. This book includes 40 SAE technical papers, published from 2007 through 2010, that describe the latest research on automotive electronics reliability technology. This book will help engineers and researchers focus on the design strategies being used to minimize electronics reliability problems, and how to test and verify those strategies. After an overview of durability, risk assessment, and failure mechanisms, this book focuses on state-of-the-art techniques for reliability-based design, and reliability testing and verification. Topics include: powertrain control monitoring distributed automotive embedded systems model-based design x-by-wire systems battery durability design verification fault tree analysis The book also includes editor Ronald K.
This book provides a comprehensive overview of recent advances in the analysis and design of health management systems for cooperating unmanned aerial vehicles. Such systems rely upon monitoring and fault adaptation schemes. Motivation for their study comes from the fact that, despite the use of fault-tolerant control software and hardware embedded onboard air vehicles, overall fleet performance may still be degraded after the occurrence of anomalous events such as systems faults and failures. Cooperative health management (CHM) systems seek to provide adaptation to the presence of faults by capitalizing on the availability of interconnected computing, sensing and actuation resources. This monograph complements the proposed CHM concepts by means of case studies and application examples. It presents fundamental principles and results encompassing optimization, systems theory, information theory, dynamics, modeling and simulation.