Xiangyang Deng

In dieser Arbeit werden typische Schmier le und ihre Additive untersucht. Durch den Aufbau einer breit gef cherten Datenspeicher- und Analysematerialdatenbank f r experimentelle Tests und Simulationsberechnungen wurde eine integrierte Datenplattform f r die automatische Dateneingabe, den Abruf, die Simulationsberechnung und die Leistungsvorhersage eingerichtet; auf der Grundlage molekularer Simulationsberechnungen wurden die molekularen Strukturparameter von Schmierstoffen und ihren Additiven analysiert; die Gewichte des Einflusses der molekularen Parameter des Schmier ls auf die tribologischen Eigenschaften und die thermischen Oxidationseigenschaften wurden bestimmt.

Dans cette th se, les huiles lubrifiantes typiques et leurs additifs constituent l'objet de la recherche. En construisant une base de donn es diversifi e de stockage et d'analyse des mat riaux pour les essais exp rimentaux et les calculs de simulation, une plate-forme de donn es int gr e pour la saisie automatique des donn es, la r cup ration, le calcul de simulation et la pr diction des performances a t tablie; Sur la base des calculs de simulation mol culaire, les param tres de la structure mol culaire des lubrifiants et de leurs additifs ont t analys s; Les poids de l'influence des param tres mol culaires de l'huile lubrifiante sur les propri t s tribologiques et les propri t s d'oxydation thermique ont t d termin s.

Nesta tese, os leos lubrificantes t picos e os seus aditivos s o o objeto de investiga o. Atrav s da constru o de uma base de dados diversificada de armazenamento de dados e an lise de materiais para testes experimentais e c lculos de simula o, foi criada uma plataforma de dados integrada para entrada autom tica de dados, recupera o, c lculo de simula o e previs o de desempenho; Com base em c lculos de simula o molecular, foram analisados os par metros da estrutura molecular dos lubrificantes e dos seus aditivos; Foram determinados os pesos da influ ncia dos par metros moleculares do leo lubrificante nas propriedades tribol gicas e nas propriedades de oxida o t rmica.

In questa tesi, gli oli lubrificanti tipici e i loro additivi sono l'oggetto della ricerca. Con la costruzione di un database diversificato per l'archiviazione dei dati e l'analisi dei materiali per i test sperimentali e i calcoli di simulazione, stata creata una piattaforma di dati integrata per l'inserimento automatico dei dati, il recupero, il calcolo della simulazione e la previsione delle prestazioni; sulla base di calcoli di simulazione molecolare, sono stati analizzati i parametri della struttura molecolare dei lubrificanti e dei loro additivi; sono stati determinati i pesi dell'influenza dei parametri molecolari dell'olio lubrificante sulle propriet tribologiche e sulle propriet di ossidazione termica.

This book seeks to interpret connections between the machine brain, mind and vision in an alternative way and promote future research into the Interdisciplinary Evolution of Machine Brain (IEMB). It gathers novel research on IEMB, and offers readers a step-by-step introduction to the theory and algorithms involved, including data-driven approaches in machine learning, monitoring and understanding visual environments, using process-based perception to expand insights, mechanical manufacturing for remote sensing, reconciled connections between the machine brain, mind and vision, and the interdisciplinary evolution of machine intelligence. This book is intended for researchers, graduate students and engineers in the fields of robotics, Artificial Intelligence and brain science, as well as anyone who wishes to learn the core theory, principles, methods, algorithms, and applications of IEMB.

This book seeks to interpret connections between the machine brain, mind and vision in an alternative way and promote future research into the Interdisciplinary Evolution of Machine Brain (IEMB). It gathers novel research on IEMB, and offers readers a step-by-step introduction to the theory and algorithms involved, including data-driven approaches in machine learning, monitoring and understanding visual environments, using process-based perception to expand insights, mechanical manufacturing for remote sensing, reconciled connections between the machine brain, mind and vision, and the interdisciplinary evolution of machine intelligence. This book is intended for researchers, graduate students and engineers in the fields of robotics, Artificial Intelligence and brain science, as well as anyone who wishes to learn the core theory, principles, methods, algorithms, and applications of IEMB.

This book presents the latest findings in the field of brain-inspired intelligence and visual perception (BIVP), and discusses novel research assumptions, including an introduction to brain science and the brain vision hypotheses. Moreover, it introduces readers to the theory and algorithms of BIVP – such as pheromone accumulation and iteration, neural cognitive computing mechanisms, the integration and scheduling of core modules, and brain-inspired perception, motion and control – in a step-by-step manner. Accordingly, it will appeal to university researchers, R&D engineers, undergraduate and graduate students; to anyone interested in robots, brain cognition or computer vision; and to all those wishing to learn about the core theory, principles, methods, algorithms, and applications of BIVP.