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                    研途情報站 | 學術信息匯總(11.13)

                    作者: 訪問量:479發布時間:2020-11-13


                    報告題目:大軌跡數據處理系統(Big Trajectory Data Processing Systems)

                    報告人:高云君 教授(浙江大學)

                    報告時間:2020年11月14日(周六)10:00-11:30

                    報告地點:計算機院樓507會議室

                    報告內容摘要:


                    報告題目:模糊提取器的可重用性和穩健性

                    報 告 人:劉勝利 教授(上海交通大學)

                    報告時間:2020年11月14日(周六)14:00-14:40

                    報告地點:計算機院樓507會議室

                    報告內容摘要:


                    報告題目:Failure of Thermal Barrier Coatings under Isothermal Oxidation and Solid Particle Erosion

                    報告人: Dr. Rong Liu(Carleton University)

                    報告時間:2020年11月16日(周一)9:00-10:00

                    報告地點:騰訊視頻會議ID:658 5662 4196

                    主辦單位:航空學院、機械結構力學及控制國家重點實驗室、國際合作處、科協

                    報告內容摘要:

                    Turbine blades used in aerospace industry are operated at high temperatures for maximum efficiency and power output. Commonly used nickel-based superalloys for these components exhibit deficiency in such a high temperature condition, therefore thermal barrier coatings (TBCs) have been developed, which can be applied on the nickel-based superalloy substrate via various deposition techniques, to reduce the temperature exerted on the substrate material.

                    In this research, the failure behavior of a TBC system that consists of an 8 wt% yttria partially stabilized zirconia (YSZ) top coat and CoNiCrAlY bond coat, deposited on nickelbased superalloy Inconel 718 substrate via atmospheric plasma spraying (APS) process, has been studied experimentally under isothermal oxidation at 1050C, 1100°C, and 1150°C in air condition for different exposure durations up to approximately 2000 h.The solid particle erosion behavior of as-deposited and aged TBCs is investigated at room temperature.A temperature and exposure time-dependent interfacial fracture toughness model for TBCs has been proposed.

                    報告人簡介:

                    Dr. Rong Liu is a professor of the Department of Mechanical and Aerospace Engineering, Carleton University, Canada. Her research interests include high performance superalloys and surface coatings, fatigue and creep, oxidation and corrosion, wear and erosion, fracture mechanics, fatigue and creep life prediction of structural materials. She has published more than one hundred articles in journals and conference proceedings.She is a member of the American Society for Metals (ASM), USA and a member of the Professional Engineers of Ontario (PEO), Canada. She was awarded by Carleton University Research Works in 2009. In the year 2020 that marks the 50th anniversary Canada and China relations. Dr. Rong Liu was awarded the Excellent Individual who has made significant contributions in her respective field ,and promote the long standing Canada-China friendship, through Ottawa Citizen newspaper on October 1st, 2020.


                    報告題目:Intellectual Property Creation - Research as a Business Venture

                    報告人:Jens Grabenstein (Carpmaels & Ransford)

                    報告時間:2020年11月16日(周一)16:00-17:00

                    報告地點:騰訊視頻會議ID:658 5662 4196

                    主辦單位:航空學院、機械結構力學及控制國家重點實驗室、國際合作處、科協

                    報告內容摘要:

                    The presentation gives an overview of what patents are and how to obtain them. The second half of the talk will discuss some recent success stories of companies that were founded on the basis of intellectual property created at universities, with a particular focus on companies developing vaccines against Covid-19.

                    報告人簡介:

                    Jens Grabenstein is a Life Sciences patent attorney with 13 years of experience in non-contentious and contentious patent matters. He enjoy the intellectual challenge of accompanying research, regulatory and commercial teams in their endeavour to turn a scientific discovery into a medicine that improves people’s lives. His experience stretches from the initial invention harvesting and patent drafting to the defence of patents in both opposition proceedings and multi-jurisdictional patent litigation. His passion is to help companies build strong patent portfolios from the ground up, covering all stages from the initial discovery, to product development and manufacturing. He currently works as a Senior Associate in the Life Sciences practice group at Carpmaels & Ransford in London.


                    報告題目:High-Fidelity Mathematical Modelling, Fast-Time Simulation and  Artificial Intelligence Techniques for Flight Safety Protection in 9/11' Class Scenarios

                    報告人:Dr. Ivan Y. BURDUN

                    報告時間:2020年11月16日(周一)17:00-18:00

                    報告地點:騰訊視頻會議ID:658 5662 4196

                    主辦單位:航空學院、飛行器先進設計技術國防重點學科實驗室、國際合作處、科協

                    報告內容摘要:

                    9/11 class scenarios relate to abnormal flight situations characterized by inadequate, a priori catastrophe-prone aircraft control tactics (manual, automated, or automatic).

                    A knowledge-centered solution approach is presented for predicting and protecting aircraft flight safety under complex conditions with multiple or unknown risks - at and beyond operational constraints. The technique is based on the synergy of high-fidelity mathematical modeling of the pilot/automaton - aircraft - operating environment system dynamics, autonomous fast-time computer experimentation with the model  (M&S), artificial intelligence (AI), knowledge mining and mapping (M&M), and a 'bird's eye view' visual analytics. Its key concepts include: situation scenario, risk factor, multifactorial risk hypothesis, safety palette, fuzzy constraint, integral safety spectrum, situational tree, safety window, safety ‘topology’, ‘last chance for recovery’ point, etc.

                    A large set of off-nominal flight paths - what-if variations of the baseline situation's flight path - are automatically generated in advance in fast-time AI-driven M&S experiments. For this purpose, AI 'silicon pilot' model and tree growth control algorithms are used to explore combined effects of related risk (and/or remedial) factors. Situational trees can accumulate extra-large synthetic flying experience - the system's 'alternative futures' built around baseline scenarios.

                    The technique's advantages are summarized,   however,there are many unsettled issues and prerequisites to be addressed in further studies

                    報告人簡介:

                    Dr. Ivan Y. BURDUN is the president of AIXTREE S.A.S., Aix-en-Provence, France, form 2013 to date.In 1982,he got PhD degree in Flight Operations awarded by the Higher Attestation Commission (VAC) under the Council of  Ministers of the USSR, Moscow, Russia.He was an Associate Professor (part-time) in the Department of Aero- and Hydro-Dynamics (AGD), School of Aerospace Engineering , Novosibirsk State Technical University ,and was Lead Scientist of Aircraft Aerodynamics and Flight Dynamics Research Division (NIO-1), Siberian Aeronautical. He has published 250+ technical reports, presentations, papers, lecture courses and databases in Russian and English.

                    He has 40+ years of cross-cultural multidisciplinary research and academic experience in flight  modeling, simulation (M&S) and artificial intelligence (AI) for safety in complex situations.

                    報告題目:專用處理器設計:大度機器人芯片研究

                    報告人:韓銀和 研究員(中科院計算所)

                    報告時間:2020年11月14日(周六)上午10:00

                    報告地點:騰訊視頻 ID:267710 091

                    報告內容摘要:


                    報告題目:Graphene and Graphene Oxide:The Miracle 2D Material and Its Application in CNC and Electrical Discharge Machining of Advanced Materials

                    報告人:丁松林 教授(澳大利亞皇家墨爾本理工大學)

                    報告時間:2020年11月16日(周一)下午15:00

                    報告地點:機電學院6-201會議室 騰訊會議 ID:260855953

                    報告內容摘要:


                    報告題目:Attachment devices of animals as inspiration for bionic applications in the technology

                    報告人:Stanislav N. Grob 教授(德國基爾大學)

                    報告時間:2020年11月18日(周三)下午18:40-19:40

                    報告地點:騰訊會議 ID:816 769 254

                    報告內容摘要:


                    報告題目:超精密三坐標測量儀測量精度受探針污染物影響與污染物清潔

                    報告人:馮曉冰 助理教授(上海交通大學)

                    報告時間:2020年11月30日(周一)上午9:00-10:00

                    報告地點:電子信息工程學院209會議室

                    報告內容摘要:


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