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Modeling and simulation of porous journal bearings in multibody systems

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Book Series: Schriftenreihe des Instituts für Technische Mechanik, Karlsruher Institut für Technologie ISSN: 16143914 ISBN: 9783731500841 Year: Volume: 21 Pages: XXII, 144 p. DOI: 10.5445/KSP/1000036099 Language: ENGLISH
Publisher: KIT Scientific Publishing
Subject: Technology (General)
Added to DOAB on : 2019-07-30 20:01:59
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A specific cost-efficient type of plain journal bearing is the porous journal bearing, which possesses a pervious bush that serves as a lubricant reservoir. The current work is concerned with modeling porous journal bearings in multibody systems, for which dynamical models are needed to investigate the bearing’s behavior. Such porous journal bearing models as well as models of elementary rotor-bearing systems including these, were developed and investigated during the course for this work.

Pathophysiology of the Basal Ganglia and Movement Disorders: Gaining New Insights from Modeling and Experimentation to Influence the Clinic

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Book Series: Frontiers Research Topics ISSN: 16648714 ISBN: 9782889453177 Year: Pages: 220 DOI: 10.3389/978-2-88945-317-7 Language: English
Publisher: Frontiers Media SA
Subject: Science (General) --- Neurology
Added to DOAB on : 2018-02-27 16:16:45
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The basal ganglia constitute a group of subcortical structures, highly interconnected among themselves, as well as with the cerebral cortex, thalamus and other brain areas. These nuclei play a central role in the control of voluntary movement, and their specific pathology comprises the group of diseases known as movement disorders, including Parkinson's disease, Huntington's disease, dystonia and Gilles de la Tourette syndrome, among others. Additionally, the presence of a number of circuits within the basal ganglia related to non-motor functions has been acknowledged. Currently, the basal ganglia are thought to participate in cognitive, limbic and learning functions. Moreover, disorders related to the basal ganglia are known to involve a number of complex, non-motor symptoms and syndromes (e.g. compulsive and addictive behavior). In the light of this evidence, it is becoming clear that our knowledge about the basal ganglia needs to be revised, and that new pathophysiological models of movement disorders are needed. In this context, the study of the pathophysiology of the basal ganglia and the treatment of their pathology is becoming increasingly interdisciplinary. Nowadays, an appropriate approach to the study of these problems must necessarily involve the use of complex mathematical modeling, computer simulations, basic research (ranging from biomolecular studies to animal experimentation), and clinical research. This research topic aims to bring together the most recent advances related to the pathophysiology of the basal ganglia and movement disorders.

Evolution, Monitoring and Predicting Models of Rockburst: Precursor Information for Rock Failure

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ISBN: 9789811075476 9789811075483 Year: Pages: 188 DOI: https://doi.org/10.1007/978-981-10-7548-3 Language: English
Publisher: Springer Grant: National Natural Science Foundation of China
Subject: Mechanical Engineering
Added to DOAB on : 2018-06-26 16:34:23
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This open access book focuses on investigating predicting precursor information and key points of rockburst in mining engineering through laboratory experiment, theoretical analysis, numerical simulation and case studies. Understanding the evolution patterns for the microstructure instability of rock is a prerequisite for rockburst prediction. The book provides a guide for readers seeking to understand the evolution patterns for the microstrucure of rock failure, the predicting key point of rock failure and the rockburst predicting model. It will be an essential reference to understand mechanism of rockburst and sheds new light on dynamic disasters prediction. Chapters are carefully developed to cover (1) The evolution patterns for the microstructure instability of rock; (2) Rockburst hazard monitoring and predicting criterion and predicting models. The book addresses the issue with a holistic and systematic approach that investigates the occurrence mechanism of rockburst based on the evolution patterns for the microstructure of rock failure and establishes the predicting model of rockburst.This book will be of interest to researchers of mining engineering, rock mechanics engineering and safety engineering.

Autonomous Control of Unmanned Aerial Vehicles

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ISBN: 9783039210305 / 9783039210312 Year: Pages: 270 DOI: 10.3390/books978-3-03921-031-2 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-06-26 08:44:06
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Unmanned aerial vehicles (UAVs) are being increasingly used in different applications in both military and civilian domains. These applications include surveillance, reconnaissance, remote sensing, target acquisition, border patrol, infrastructure monitoring, aerial imaging, industrial inspection, and emergency medical aid. Vehicles that can be considered autonomous must be able to make decisions and react to events without direct intervention by humans. Although some UAVs are able to perform increasingly complex autonomous manoeuvres, most UAVs are not fully autonomous; instead, they are mostly operated remotely by humans. To make UAVs fully autonomous, many technological and algorithmic developments are still required. For instance, UAVs will need to improve their sensing of obstacles and subsequent avoidance. This becomes particularly important as autonomous UAVs start to operate in civilian airspaces that are occupied by other aircraft. The aim of this volume is to bring together the work of leading researchers and practitioners in the field of unmanned aerial vehicles with a common interest in their autonomy. The contributions that are part of this volume present key challenges associated with the autonomous control of unmanned aerial vehicles, and propose solution methodologies to address such challenges, analyse the proposed methodologies, and evaluate their performance.

Methods in Computational Biology

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ISBN: 9783039211630 / 9783039211647 Year: Pages: 214 DOI: 10.3390/books978-3-03921-164-7 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Computer Science
Added to DOAB on : 2019-08-28 11:21:27
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Modern biology is rapidly becoming a study of large sets of data. Understanding these data sets is a major challenge for most life sciences, including the medical, environmental, and bioprocess fields. Computational biology approaches are essential for leveraging this ongoing revolution in omics data. A primary goal of this Special Issue, entitled “Methods in Computational Biology”, is the communication of computational biology methods, which can extract biological design principles from complex data sets, described in enough detail to permit the reproduction of the results. This issue integrates interdisciplinary researchers such as biologists, computer scientists, engineers, and mathematicians to advance biological systems analysis. The Special Issue contains the following sections:•Reviews of Computational Methods•Computational Analysis of Biological Dynamics: From Molecular to Cellular to Tissue/Consortia Levels•The Interface of Biotic and Abiotic Processes•Processing of Large Data Sets for Enhanced Analysis•Parameter Optimization and Measurement

Solution Models based on Symmetric and Asymmetric Information

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ISBN: 9783039210060 / 9783039210077 Year: Pages: 202 DOI: 10.3390/books978-3-03921-007-7 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-06-26 08:44:06
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This Special Issue covers symmetry and asymmetry phenomena occurring in real-life problems. We invited authors to submit their theoretical or experimental research presenting engineering and economic problem solution models dealing with the symmetry or asymmetry of different types of information. The issue gained interest in the research community and received many submissions. After rigorous scientific evaluation by editors and reviewers, nine papers were accepted and published. The authors proposed different MADM and MODM solution models as integrated tools to find a balance between the components of sustainable global development, to find a symmetry axis concerning goals, risks, and constraints to cope with the complicated problems. Most approaches suggested decision models under uncertainty, combining the usual decision-making methods with interval-valued fuzzy or rough sets theory, also Z numbers. The application fields of the proposed models involved both problems of technological sciences and social sciences. The papers cover three essential areas: engineering, economy, and management. We hope that a summary of the Special Issue as provided here will encourage a detailed analysis of the papers included in the Printed Edition.

Keywords

multi-criteria decision-making (MCDM) --- group decision-making --- interval type-2 fuzzy set (IT2FS) --- subjective weights --- criteria weights --- Step-wise Weight Assessment Ratio Analysis (SWARA) --- multiple attribute decision making (MADM) --- neutrosophic numbers --- 2-tuple linguistic neutrosophic numbers set (2TLNNSs) --- Bonferroni mean (BM) operator --- generalized Bonferroni mean (GBM) operator --- dual generalized Bonferroni mean (DGBM) operator --- dual generalized geometric Bonferroni mean (DGGBM) operator --- green supplier selection --- green supply chain management --- Pythagorean fuzzy set --- normal cloud --- MCGDM --- backward cloud transformation --- MCDM --- the criteria of the weights --- Bayes’ theorem --- combining the weights --- symmetry of the method --- IDOCRIW --- FAHP --- evaluating the quality of distant courses --- optimal dividend --- capital injection --- salvage value --- transaction cost --- excess-of-loss reinsurance --- thrust --- data logger --- sensor --- quadcopter --- measurement --- control system --- stability --- data envelopment analysis --- Z-numbers --- full fuzzy environment --- fuzzy efficiency --- rough ARAS --- transport --- performance --- logistics --- MCDM --- probabilistic systems analysis --- nonlinear dynamics --- public management --- pattern formation --- resources distribution --- population sizes --- information theory --- oscillations --- hybrid problem solution models --- multiple-criteria decision-making (MCDM) --- hybrid MCDM --- criteria weight assessment --- fuzzy sets --- rough sets --- Z-numbers --- neutrosophic numbers --- Bonferroni mean (BM) operator --- engineering problems --- economic decisions

Control and Nonlinear Dynamics on Energy Conversion Systems

Authors: ---
ISBN: 9783039211104 / 9783039211111 Year: Pages: 438 DOI: 10.3390/books978-3-03921-111-1 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-08-28 11:21:27
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The ever-increasing need for higher efficiency, smaller size, and lower cost make the analysis, understanding, and design of energy conversion systems extremely important, interesting, and even imperative. One of the most neglected features in the study of such systems is the effect of the inherent nonlinearities on the stability of the system. Due to these nonlinearities, these devices may exhibit undesirable and complex dynamics, which are the focus of many researchers. Even though a lot of research has taken place in this area during the last 20 years, it is still an active research topic for mainstream power engineers. This research has demonstrated that these systems can become unstable with a direct result in increased losses, extra subharmonics, and even uncontrollability/unobservability. The detailed study of these systems can help in the design of smaller, lighter, and less expensive converters that are particularly important in emerging areas of research like electric vehicles, smart grids, renewable energy sources, and others. The aim of this Special Issue is to cover control and nonlinear aspects of instabilities in different energy conversion systems: theoretical, analysis modelling, and practical solutions for such emerging applications. In this Special Issue, we present novel research works in different areas of the control and nonlinear dynamics of energy conversion systems.

Keywords

data-driven --- prediction --- neural network --- air-handling unit (AHU) --- supply air temperature --- pulverizing system --- soft sensor --- inferential control --- moving horizon estimation --- multi-model predictive control --- micro-grid --- droop control --- virtual impedance --- harmonic suppression --- power quality --- combined heat and power unit --- two-stage bypass --- dynamic model --- coordinated control system --- predictive control --- decoupling control --- power conversion --- model–plant mismatches --- disturbance observer --- performance recovery --- offset-free --- electrical machine --- electromagnetic vibration --- multiphysics --- rotor dynamics --- air gap eccentricity --- calculation method --- magnetic saturation --- corrugated pipe --- whistling noise --- Helmholtz number --- excited modes --- switched reluctance generator --- capacitance current pulse train control --- voltage ripple --- capacitance current --- feedback coefficient --- distributed architecture --- maximum power point tracking --- sliding mode control --- overvoltage --- permanent magnet synchronous motor (PMSM) --- single artificial neuron goal representation heuristic dynamic programming (SAN-GrHDP) --- single artificial neuron (SAN) --- reinforcement learning (RL) --- goal representation heuristic dynamic programming (GrHDP) --- adaptive dynamic programming (ADP) --- sliding mode observer (SMO) --- permanent magnet synchronous motor (PMSM) --- extended back electromotive force (EEMF) --- position sensorless --- bridgeless converter --- discontinuous conduction mode (DCM) --- high step-up voltage gain --- power factor correction (PFC) --- space mechanism --- multi-clearance --- nonlinear dynamic model --- planetary gears --- vibration characteristics --- new step-up converter --- ultrahigh voltage conversion ratio --- small-signal model --- average-current mode control --- slope compensation --- monodromy matrix --- current mode control --- boost-flyback converter --- explosion-magnetic generator --- plasma accelerator --- current-pulse formation --- DC-DC buck converter --- contraction analysis --- global stability --- matrix norm --- DC micro grid --- efficiency optimization --- variable bus voltage MG --- variable switching frequency DC-DC converters --- centralized vs. decentralized control --- local vs. global optimization --- buck converter --- DC motor --- bifurcations in control parameter --- sliding control --- zero average dynamics --- fixed-point inducting control --- DC-DC converters --- quadratic boost --- maximum power point tracking (MPPT) --- nonlinear dynamics --- subharmonic oscillations --- photovoltaic (PV) --- steel catenary riser --- rigid body rotation --- wave --- the load of suspension point in the z direction --- Cable3D

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