Artificial Intelligence And Data Driven Optimization Of Internal Combustion Engines
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Artificial Intelligence And Data Driven Optimization Of Internal Combustion Engines
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Author : Jihad Badra
language : en
Publisher: Elsevier
Release Date : 2022-01-05
Artificial Intelligence And Data Driven Optimization Of Internal Combustion Engines written by Jihad Badra and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-05 with Technology & Engineering categories.
Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines summarizes recent developments in Artificial Intelligence (AI)/Machine Learning (ML) and data driven optimization and calibration techniques for internal combustion engines. The book covers AI/ML and data driven methods to optimize fuel formulations and engine combustion systems, predict cycle to cycle variations, and optimize after-treatment systems and experimental engine calibration. It contains all the details of the latest optimization techniques along with their application to ICE, making it ideal for automotive engineers, mechanical engineers, OEMs and R&D centers involved in engine design. Provides AI/ML and data driven optimization techniques in combination with Computational Fluid Dynamics (CFD) to optimize engine combustion systems Features a comprehensive overview of how AI/ML techniques are used in conjunction with simulations and experiments Discusses data driven optimization techniques for fuel formulations and vehicle control calibration
Automotive Data Analytics Methods And Design Of Experiments Doe
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Author : Clemens Gühmann
language : en
Publisher:
Release Date : 2017
Automotive Data Analytics Methods And Design Of Experiments Doe written by Clemens Gühmann and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with categories.
Computational Optimization Of Internal Combustion Engines
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Author : Yu Shi
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-06-22
Computational Optimization Of Internal Combustion Engines written by Yu Shi and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-06-22 with Technology & Engineering categories.
Computational Optimization of Internal Combustion Engines presents the state of the art of computational models and optimization methods for internal combustion engine development using multi-dimensional computational fluid dynamics (CFD) tools and genetic algorithms. Strategies to reduce computational cost and mesh dependency are discussed, as well as regression analysis methods. Several case studies are presented in a section devoted to applications, including assessments of: spark-ignition engines, dual-fuel engines, heavy duty and light duty diesel engines. Through regression analysis, optimization results are used to explain complex interactions between engine design parameters, such as nozzle design, injection timing, swirl, exhaust gas recirculation, bore size, and piston bowl shape. Computational Optimization of Internal Combustion Engines demonstrates that the current multi-dimensional CFD tools are mature enough for practical development of internal combustion engines. It is written for researchers and designers in mechanical engineering and the automotive industry.
Artificial Intelligence Applications And Innovations
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Author : Ilias Maglogiannis
language : en
Publisher: Springer Nature
Release Date : 2023-05-31
Artificial Intelligence Applications And Innovations written by Ilias Maglogiannis and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-31 with Computers categories.
This two-volume set of IFIP-AICT 675 and 676 constitutes the refereed proceedings of the 19th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2023, held in León, Spain, during June 14–17, 2023. This event was held in hybrid mode. The 75 regular papers and 17 short papers presented in this two-volume set were carefully reviewed and selected from 185 submissions. The papers cover the following topics: Deep Learning (Reinforcement/Recurrent Gradient Boosting/Adversarial); Agents/Case Based Reasoning/Sentiment Analysis; Biomedical - Image Analysis; CNN - Convolutional Neural Networks YOLO CNN; Cyber Security/Anomaly Detection; Explainable AI/Social Impact of AI; Graph Neural Networks/Constraint Programming; IoT/Fuzzy Modeling/Augmented Reality; LEARNING (Active-AutoEncoders-Federated); Machine Learning; Natural Language; Optimization-Genetic Programming; Robotics; Spiking NN; and Text Mining /Transfer Learning.
Ai For Engines
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Author : Rakesh Kumar
language : en
Publisher: Independently Published
Release Date : 2024-04-04
Ai For Engines written by Rakesh Kumar and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-04 with Technology & Engineering categories.
In the realm of modern engineering, the integration of artificial intelligence (AI) has revolutionized the way engines are designed, operated, and maintained. From automotive powertrains to industrial turbines, AI technologies offer unprecedented opportunities to optimize performance, enhance reliability, and reduce environmental impact. This book, "AI for Engines," delves into the multifaceted applications of AI in the domain of engines, offering insights into how these advanced technologies are reshaping the landscape of engine design, control, and maintenance. Engines, whether they power vehicles, industrial machinery, or renewable energy systems, serve as the heart of countless applications across various sectors. Traditionally, the optimization of engine performance and the prediction of maintenance needs have relied on empirical methods and manual intervention. However, with the advent of AI and machine learning algorithms, engineers now have access to powerful tools capable of analyzing vast amounts of data, detecting patterns, and making intelligent decisions in real-time. This book explores the diverse ways in which AI is transforming the field of engines. It begins by tracing the evolution of AI in engineering and discussing its importance in engine design and maintenance. Subsequent chapters delve into the various types of engines, including internal combustion, electric, and turbine engines, elucidating the unique challenges and opportunities presented by each. Through in-depth discussions and practical examples, readers will gain insights into the fundamental components and functionalities of engines, as well as the key performance metrics used to evaluate their operation. Furthermore, the book explores advanced AI techniques such as machine learning, genetic algorithms, and neural networks, demonstrating how these methods can be leveraged to optimize engine design, control systems, and predictive maintenance strategies. From autonomous vehicle engines to energy-efficient power generation systems, this book covers a wide range of AI applications in engine control, performance optimization, and fault diagnosis. Real-world case studies and examples illustrate the transformative impact of AI on engine technology, highlighting success stories and lessons learned from industry implementations. Ultimately, "AI for Engines" serves as a comprehensive guide for engineers, researchers, and enthusiasts seeking to harness the power of AI to unlock new possibilities in engine innovation, efficiency, and sustainability. Whether you're a seasoned professional or a curious newcomer to the field, this book provides valuable insights into the cutting-edge intersection of artificial intelligence and engine technology.
Powertrain Development With Artificial Intelligence
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Author : Aras Mirfendreski
language : en
Publisher: Springer Nature
Release Date : 2022-04-04
Powertrain Development With Artificial Intelligence written by Aras Mirfendreski and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-04 with Technology & Engineering categories.
The variety of future powertrain concepts has drastically increased the development cost for automotive manufactures. Profitable investment requires a significantly leaner and efficient powertrain development process. Traditional methods of test and model based development need to be assisted by big data and data analytics. For this purpose, a valuable tool is available at the right time - artificial intelligence (AI). But what does AI really mean in a narrower sense? What concepts lie behind it? And how are the methods and algorithms transferable to powertrain applications? For the first time, this book aims to bridge the gap between automotive engineering and computer science, by illuminating the complexity of current AI concepts and demystifying it for powertrain applications. By elaborating on work processes, it shows how AI could be implemented and how completely novel methods can help us reshape the future of mobility.
Simulation And Optimization Of Internal Combustion Engines
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Author : Zhiyu Han
language : en
Publisher: SAE International
Release Date : 2021-12-28
Simulation And Optimization Of Internal Combustion Engines written by Zhiyu Han and has been published by SAE International this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-28 with Technology & Engineering categories.
Simulation and Optimization of Internal Combustion Engines provides the fundamentals and up-to-date progress in multidimensional simulation and optimization of internal combustion engines. While it is impossible to include all the models in a single book, this book intends to introduce the pioneer and/or the often-used models and the physics behind them providing readers with ready-to-use knowledge. Key issues, useful modeling methodology and techniques, as well as instructive results, are discussed through examples. Readers will understand the fundamentals of these examples and be inspired to explore new ideas and means for better solutions in their studies and work. Topics include combustion basis of IC engines, mathematical descriptions of reactive flow with sprays, engine in-cylinder turbulence, fuel sprays, combustions and pollutant emissions, optimization of direct-injection gasoline engines, and optimization of diesel and alternative fuel engines.
Artificial Intelligence And Data Science Based R D Interventions
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Author : Ratnajit Bhattacharjee
language : en
Publisher: Springer Nature
Release Date :
Artificial Intelligence And Data Science Based R D Interventions written by Ratnajit Bhattacharjee and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Internal Combustion Engines
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Author : Institution of Mechanical Engineers
language : en
Publisher: Woodhead Publishing
Release Date : 2014-10-10
Internal Combustion Engines written by Institution of Mechanical Engineers and has been published by Woodhead Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-10-10 with Technology & Engineering categories.
This book presents the papers from the Internal Combustion Engines: Performance, fuel economy and emissions held in London, UK. This popular international conference from the Institution of Mechanical Engineers provides a forum for IC engine experts looking closely at developments for personal transport applications, though many of the drivers of change apply to light and heavy duty, on and off highway, transport and other sectors. These are exciting times to be working in the IC engine field. With the move towards downsizing, advances in FIE and alternative fuels, new engine architectures and the introduction of Euro 6 in 2014, there are plenty of challenges. The aim remains to reduce both CO2 emissions and the dependence on oil-derivate fossil fuels whilst meeting the future, more stringent constraints on gaseous and particulate material emissions as set by EU, North American and Japanese regulations. How will technology developments enhance performance and shape the next generation of designs? The book introduces compression and internal combustion engines’ applications, followed by chapters on the challenges faced by alternative fuels and fuel delivery. The remaining chapters explore current improvements in combustion, pollution prevention strategies and data comparisons. presents the latest requirements and challenges for personal transport applications gives an insight into the technical advances and research going on in the IC Engines field provides the latest developments in compression and spark ignition engines for light and heavy-duty applications, automotive and other markets
Introduction To Modeling And Control Of Internal Combustion Engine Systems
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Author : Lino Guzzella
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-14
Introduction To Modeling And Control Of Internal Combustion Engine Systems written by Lino Guzzella and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-14 with Technology & Engineering categories.
Internal combustion engines still have a potential for substantial improvements, particularly with regard to fuel efficiency and environmental compatibility. These goals can be achieved with help of control systems. Modeling and Control of Internal Combustion Engines (ICE) addresses these issues by offering an introduction to cost-effective model-based control system design for ICE. The primary emphasis is put on the ICE and its auxiliary devices. Mathematical models for these processes are developed in the text and selected feedforward and feedback control problems are discussed. The appendix contains a summary of the most important controller analysis and design methods, and a case study that analyzes a simplified idle-speed control problem. The book is written for students interested in the design of classical and novel ICE control systems.