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SATA automotive paint from prep to final cost
\"Solvent-based paints have been used in automotive applications since the days when automobiles were called \"buggies\" and the horsepower was provided by, well, horses. But recent EPA regulations have restricted solvent-based paints for use only in approved professional paint booths, meaning that do-it-yourselfers can no longer use them--and it won't be long before their use is banned entirely. Paint manufacturers have raced to develop water-based paints as a replacement for the solvent-based paints previously used. These new water-based automotive paints are of very high quality, but they require different methods and techniques for proper application, virtually rendering previous automotive paint books obsolete. Automotive Paint from Prep to Final Coat is the first book to provide instruction in these new paints. In addition to this critical information, author and top professional painter JoAnn Bortles covers all the techniques necessary to get the great results your car deserves. From initial body-panel preparation, to troubleshooting common problems, to application of the final coat, and all steps in between, this book is the only reference you will need to ensure your DIY automotive paint job is done right the first time\"-- Provided by publisher.
Book
The Mobility Diaries
With well over 25 years of experience, Sven Beiker is widely regarded as the mobility expert in Silicon Valley specializing in future trends for the automotive and mobility industries including autonomous driving, connectivity, electrification, and shared mobility. In The Mobility Diaries: Connecting the Milestones of Innovation Leading to ACES, he opens up his personal diary regarding his take on 50 years of mobility innovation and history interwoven with his experiences from 1978 to 2018. From the Foreword by Reilly P. Brennan: “Understanding how transportation itself evolved requires a unique prism. The core components of vehicles today have stories and engineering journeys worth their own telling, and that is what is so exciting about the way we can learn about them in this text. Dr. Beiker’s curriculum vitae, from BMW to Stanford University to McKinsey, are a compendium of experiences that created this unique historical and biographical book.” “Sven and I are kindred spirits in the mobility world. His view on the evolution of mobility and technology illustrates why Detroit and Silicon Valley need one another.” Carla Bailo, Former President and CEO, Center for Automotive Research
eBook
Speed read Ferrari : the history, technology and design behind Italy's legendary automaker
\"A bite-sized illustrated history of Ferrari, the world's premier sports car manufacturer\"-- Provided by publisher.
Book
Study on Modeling and Control for a Novel Active Suspension
Active suspension systems are more effective in comparison to passive and semi-active suspension systems, making them receive more and more attention. The research on semi-active and active suspension control strategies has reached an advanced and comprehensive stage, making it challenging to achieve significant breakthroughs. Therefore, a promising approach could involve integrating an innovative semi-active or active suspension design with an advanced and efficient control strategy. This study introduces a novel active suspension system with a cam–roller–spring mechanism. The optimal H-infinity control strategy is applied with the cam–roller–spring mechanism. The active control force is provided by the interaction between the roller and the cam driven by the rotating motor, while relying on the variable stiffness control of the air spring. This active control mode facilitates the use of rotary motors to meet the installation space requirements of non-independent suspension with leaf springs. To assess the effectiveness of this innovative suspension system and control strategy, modeling and numerical simulation are conducted in MATLAB/Simulink. The simulation results demonstrate that the novel suspension with the optimal H-infinity control strategy can significantly improve the performance.
Journal Article
AEB Simulation Method Based on Vehicle Test Data for Accident Analysis of ADAS Vehicles
The use of vehicles equipped with autonomous emergency braking (AEB), among the most widely employed functions of the advanced driver assistance system (ADAS), is rising, and thus so is demand for analytical services for accident investigation related to AEB issues. In fact, even if the AEB system functions properly, accidents may still occur due to various causes, such as the malfunction of ADAS sensors, functional or performance limits of ADAS operating algorithms, or driver negligence. Therefore, a clear understanding of the workings of ADAS sensors and ADAS operating algorithms, as well as analytical tools and scientific methods for accident reconstruction and forensic analysis, is required to ensure accuracy and consistency in accident investigation. The present study focused on the reconstruction and analysis of traffic accidents involving autonomous and ADAS vehicles. To this end, an attempt was made to create an AEB simulation environment in which various AEB functions can be implemented and tested. AEB function tests were conducted according to the EuroNCAP AEB's test scenarios to determine the functional characteristics of AEB systems. As such, it was possible to implement an AEB function simulation based on actual vehicle test data.
Journal Article
How to tune and modify automotive engine management systems
\"Understanding fuel injection and engine management systems is the key to extracting higher performance from today's automobiles in a safe, reliable, and driveable fashion. Turbochargers, superchargers, nitrous oxide, high compression ratios, radical camshafts: all are known to make horsepower, but without proper understanding and control of fuel injection and other electronic engine management systems, these popular power-adders will never live up to their potential and, at worst, can cause expensive engine damage. Drawing on a wealth of knowledge and experience and a background of more than 1,000 magazine articles on the subject, engine-control expert Jeff Hartman explains everything from the basics of fuel injection to the building of complex project cars. Hartman covers the latest developments in fuel-injection and engine management technology applied by both foreign and domestic manufacturers, including popular aftermarket systems. No other book in the market covers the subject of engine management systems from as many angles and as comprehensively as this book. Through his continuous magazine writing, author Jeff Hartman is always up-to-date with the newest fuel-injection and engine management products and systems. \"-- Provided by publisher.
Book
Smart Control of DCT Proportional Solenoid Valve Based on Data Mining
High performance of clutch control is essential for dual-clutch transmission (DCT) system to ensure good shifting smoothness of vehicle driving. The control performance of clutch in DCT driven by proportional solenoid valve depends on the output pressure control of the solenoid valve, while the output pressure of the solenoid valve is directly controlled by the energized current. Therefore, the relationship between working current and output pressure of the solenoid valve has significant impact on the clutch control and affects driving performance of the vehicle accordingly. However, the pressure-to-current (P/I) relationship of proportional solenoid valve has nonlinear hysteresis characteristic caused by magnetic materials, oil viscous friction, operation temperature, etc., which has negative effects on the accuracy and stability of solenoid valve pressure control. To cope with this problem, a machine learning model called long short-term memory (LSTM) for P/I of solenoid valve based on data mining is adopted in this paper, which is then used as feedforward compensation for closed-loop control of solenoid valve. The test result demonstrates that the machine learning model can effectively predict the output pressure at rising and falling phase of the same working current. Besides, this smart control method which has better applicability in engineering can effectively improve the control performance of proportional solenoid valve and further improve clutch control and vehicle driving performance.
Journal Article
Professional sheet metal fabrication
\"Professional Sheet Metal Fabrication is the number-one resource for sheet metal workers old and new. Join veteran metalworker Ed Barr as he walks you through the ins and outs of planning a sheet metal project, acquiring the necessary tools and resources, doing the work, and adding the perfect finishing touches for a seamless final product. From his workshop at McPherson College--home of the only genuine sheet metal fabrication education program in the country--Barr not only demonstrates how the latest tools and products work, but also explains why sheet metal reacts the way it does to a wide variety of processes. He includes clear directions for using power and pneumatic hammers and the English wheel, as well as describing specific skills like hand-forming techniques, buck building, louver punching, edge finishing, and more. Readers will learn how to form door seams and to make fenders, hoods, and other body parts; they'll also learn how to put various finishes on metal through engine turning, metal chasing, and laser processing. This is truly the most detailed enthusiast-focused sheet metal how-to book on the market: whether you're a metal hobbyist or experienced professional, you're sure to find something new in Professional Sheet Metal Fabrication\"-- Provided by publisher.
Book
Traffic Flow Forecasting Based on Transformer with Diffusion Graph Attention Network
Because of the high nonlinearity and complexity, it is still a challenge to forecast traffic flow accurately. Most of the existing methods, which lack the ability to model the dynamic spatio-temporal correlations of traffic flows, rely on a priori knowledge of the graph structure to capture static spatial correlations. However, spatial correlation can be dynamic and the physical structure does not reflect the true relationship between roads. To better capture complex spatio-temporal dependencies and predict traffic conditions on road networks, a new forecasting model based on Transformer and Diffusion Graph Attention Network (T-DGAN) is proposed. This model adopts the Transformer encoder-decoder architecture, where the encoder and decoder contain multiple Spatio-Temporal Convolutional Network Blocks (ST-CB) and Diffusion Graph Attention Blocks (DGA-B), which are utilized to capture the spatio-temporal dependency and the dynamic spatial correlation of traffic flow separately. In addition, an information auxiliary module is added to the decoder to summarize the traffic flow information between the encoder and the decoder. Experiments on different datasets verify that the T-DGAN model has achieved higher forecasting performance than the baseline methods. In PEMS03, the Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) of T-DGAN to 60 min are improved by 4.28% and 3.66%, compared with the state-of-the-art model, respectively.
Journal Article