姓名

Yvon Savaria

职称/职务

Emeritus Professor

单位

Polytechnique Montreal

专家简介

Professor Savaria is a Life Fellow of IEEE and a Fellow of the Canadian Academy of Engineering. He received his B.Ing. and M.Sc. Degrees in EE from Polytechnique Montréal in 1980 and 1982. He also received a Ph.D. in electrical engineering from McGill University in 1985. Since 1985, he has been with the EE Department of Polytechnique Montréal, where he is an Emeritus Professor. He has carried out work in several areas related to microelectronic circuits and microsystems, such as testing, verification, validation, clocking methods, defect and fault tolerance, effects of radiation on electronics, high-speed interconnects, circuit design, CAD methods, reconfigurable computing, and applications to telecommunications, aerospace, image and video processing, signal processing, and the acceleration of digital signal processing. His recent contributions relate to industrial systems, wireless sensor networks, virtual networks, software-defined networks, machine learning (ML), ML applied to analog circuit optimization, embedded ML, computational efficiency, and application-specific architectures. He holds 16 patents, has published 240 journal and 520 conference papers, and has served as the thesis advisor for 230 PhDs and MScAs. His papers were cited more than 8400 times.

He was the general Chairman of NEWCAS’2020. He worked as a consultant and conducted research with more than 15 organizations, including Bombardier, Ciena, Dolphin, Ericsson, Huawei, Intel, Nortel, Octasic, PMC-Sierra, and Thales. He served on the Board of the Canadian Microelectronics Corporation for 20 years and acted as its Chairperson in 2008; he also chaired the EE department. of Polytechnique from 2008 to 2014; he co-directed the Regroupement Stratégique en Microélectronique du Québec (RESMIQ) from 2020 to 2025, which he co-founded in 1988; he was awarded a Tier 1 Canada Research Chair on the design and architecture of advanced microelectronic systems, which he held until June 2015. He also received a Synergy Award from the Natural Sciences and Engineering Research Council of Canada in 2006.

报告摘要

Intelligent control of industrial systems relies heavily on electronics. Indeed, thanks to Moore’s Law, no technology rivals electronics in processing speed and energy efficiency for controlling industrial systems. This is due to several reasons. Indeed, dozens of microelectronics technologies and design methods are available. This allows them to meet the very different requirements of a wide range of industrial systems that leverage intelligent controls. These systems may face harsh operating conditions (temperature, vibration, humidity, radiation, electrical aggressors (ESD, lightning)) and may need to operate at very low power while possibly harvesting energy from the environment. Over his career, Professor Savaria worked on dozens of applications, technologies, and harsh environments. This presentation will show how they influence the design of effective industrial controls. He will also discuss the potential of embedded processors, hardware-in-the-loop, edge AI, embedded GPUs, rapid prototyping, energy harvesting, wireless networks, and smart effective algorithms, which he applied in various situations. Picking the right solutions is key to meeting widely changing application requirements.

姓名

Feibo Wang

职称/职务

Professor

单位

Linyi University

专家简介

Professor Wang Feibo, doctoral supervisor, is a Class A talent in the National Major Talent Program and a nationally appointed expert. Professor Wang is a renowned interdisciplinary scholar in humanities and sciences. His research focuses on renowned interdisciplinary scholar with extensive experience in hydrogen energy, medium- and low-temperature clean energy, energy storage, and intelligent integrated energy systems, he is a pioneer in China in gas engine heat pumps and fluidized ice energy-saving technologies. He led the development of China's first gas engine heat pump and the country's first large-scale fluidized ice system for mine cooling. During his studies in Japan, he headed a national-level Japanese hydrogen energy strategy project, developed a supercritical combined cycle system for hydrogen energy that was included in Japan's national energy technology portfolio, actively participated in joint research on hydrogen fuel cells, and took part in an international cooperative project for atmospheric monitoring in Antarctica. He has led or participated in numerous international, national, and provincial-level scientific research projects, including a NNSF projects, obtained dozens of patents worldwide, and published nearly 100 academic papers and holds over 30 domestic and international patents. His authored books include "Thermodynamics and Phase Change," "Inside Laozi," and "The Turbulent Spring and Autumn: History, Culture, and Thought of the Eastern Zhou Dynasty." He is also a co-author of "Ice Slurry Technology and Applications" and "Refrigeration and Heat Pump Technology". Currently, he serves as a professor at Linyi University, Deputy Director and Chief Scientist of the National Regional Integrated Smart Energy System R&D Center, and Director of the Shandong Provincial Higher Education Future Industry Engineering Research Center for Efficient Utilization of Hydrogen Energy and Equipment.

报告摘要

This presentation focuses on regional integrated energy systems, emphasizing the matching of various energy sources and equipment within the system, as well as specific applications of AI in system architecture, design, and operation. During the architectural design phase, initial energy supply methods and end-user demands are repeatedly considered to build a technology synthesis system based on RAG (Retrieval-Augmented Generation). An organic evaluation framework is established by integrating multiple energy forms, diverse energy equipment, and varied energy demands, while incorporating economic viability, energy efficiency, and carbon emissions. Existing technological pathways can be decomposed and analyzed, enabling the recombination of current solutions into new architectures or design proposals. The entire process of regional energy system design is automated through AI-generated code. In turn, models are refined and improved through simulation and practical implementation, with close attention paid to functional boundaries and system safety and stability. During actual operation, intelligent allocation is achieved in response to changing user demands and external energy supply conditions, enabling multi-energy complementarity and integration. Based on the unified optimization of economic, carbon, and energy efficiency indicators, the overall system performance in terms of efficiency and economic viability is enhanced.

姓名

郑宏宇

职称/职务

特聘教授/院长

单位

山东理工大学

专家简介

郑宏宇(Zheng Hongyu)，新加坡籍，山东理工大学特聘教授、校长特别助理、机械工程学院院长，清华本科、帝国理工博士，师从“激光材料加工之父”W.M.Steen教授。曾长期任新加坡首席科学家，现聚焦激光制造与微纳加工，提出多能场辅助激光制造和飞秒激光热效应新观点。2019年回国创立激光中心，承担国家级/山东省重大重点项目，研发凝血快检微流控芯片，推动校企共建研究院，成果转化创效超亿元。发表SCI论文300余篇，H指数52，获新加坡IES杰出工程奖、中国激光金耀奖、山东省人民友好使者等荣誉。郑宏宇教授对华态度友好。

报告摘要

报告将聚焦激光微纳制造近期研究成果，主要包括：

■激光诱导石墨烯工艺及其潜在应用

■双光子聚合用于微/纳米制造

■激光表面强化工艺

姓名

吴永玲

职称/职务

特聘教授

单位

山东理工大学

专家简介

吴永玲(Wu Yongling)，新加坡籍，山东理工大学机械工程学院特聘教授，国家重点人才工程专家，山东省泰山产业领军人才。本科及硕士毕业于清华大学，博士毕业于新加坡南洋理工大学。长期从事纳米材料及表面科学方面的研究。曾担任新加坡科技研究局制造技术研究院的高级科学家，获得新加坡国家科技最高奖。发表高水平学术论文150余篇，获批发明专利10余项。2019年加入山东理工大学，建立表面技术与复合纳米材料研究中心，承担国家级、省部级各类科研项目10余项，研究成果实现工业转化。

报告摘要

报告将聚焦纳米材料及涂层的合成，以及在表面工程和柔性可穿戴器件的应用，主要包括：

■多功能纳米材料合成方法及其智能应用

■金属材料表面防腐耐磨自清洁涂层，多种材料的表面改性

■可穿戴柔性压电材料及其智能器件的制备与应用

姓名

Alexey Mikhailov

职称/职务

Director of School of Digital Engineering

单位

Almetyevsk State Technological University — Petroleum Higher School

专家简介/代表性成果

1.       Nasyrov V.A., Shlyapnikov Yu.V., Nasyrov A.M. Obvodnennost’ produkcii skvazhin i vliyanie eyo na oslozhnyayushchie faktory v dobyche nefti [Water Cut of Well Production and its Impact on Complicating Factors in Oil Production]. Ekspoziciya Neft’ Gaz — Exposure Oil Gas, 2011, No. 2 (14), pp. 14-17. EDN: NYCUKZ. [in Russian].

2.       Galeev A.S., Bikbulatova G.I., Boltneva Yu.A., Shulin V.S. Analiz prichin otkazov glubinno-nasosnogo oborudovaniya pri ekspluatacii skvazhin shtangovymi nasosami v oslozhnennyh usloviyah [Analysis of the Causes of Failures of Deep-Well Pumping Equipment During Operation of Wells with Rod Pumps in Difficult Conditions]. Izvestiya TulGU. Tekhnicheskie nauki — News of Tula State University. Technical Sciences, 2024, No. 8, pp. 36-38.  DOI: 10.24412/2071-6168-2024-8-36-37. EDN: DRDBAO. [in Russian].

3.       Galeev A.S., Suleymanov R.N., Shulin V.S. Issledovanie stekloplastikovyh shtang na kruchenie [Torsional Study of Fiberglass Rods]. Sbornik trudov V Mezhdunarodnoj nauchno-prakticheskoj konferencii «Global’nye nauchnye tendencii: integraciya i innovacii» [Collection of works of the V International Scientific and Practical Conference «Global Scientific Trends: Integration and Innovation»]. Saratov, Cifrovaya nauka Publ., 2024,  pp. 22-34. [in Russian].

4.       Wang, H.; Sun, X.; Li, F.; Li, W.; Xin, S.; Wang, C.; Li, D. Simulation Study of Sucker Rod String on Longitudinal, Transverse and Torsional Coupling Vibration in Directional Wells. Journal of Vibration Engineering, 2024, 37(11), 1936–1949.

5.       Isaev, A.A.; Aliev, M.M.O.; Drozdov, A.N.; Gorbyleva, Y.A.; Nurgalieva, K.S. Improving the Efficiency of Curved Wells’ Operation by Means of Progressive Cavity Pumps. Energies, 2022, 15(12), 4259.

6.       Takacs, G. Sucker-Rod Pumping Handbook: Production Engineering Fundamentals and Long-Stroke Rod Pumping. 1st ed. Elsevier/Gulf Professional Publishing, 2015.

报告摘要

A substantial proportion of oil wells are currently operated using sucker-rod pumping systems, particularly as oil fields enter the mature and late stages of development. The operational reliability of these systems is therefore an important factor affecting well production performance. One of the common failure modes of sucker-rod pumping systems equipped with rod rotators is sticking (seizure) of the pump plunger. When a stuck plunger is released, the torsional elastic energy accumulated in the sucker-rod string due to the action of the rod rotator is released in the form of free torsional oscillations. These oscillations may generate reverse torque of sufficient magnitude to cause loosening of the threaded connections in the sucker-rod string. This study investigates the torsional dynamics of a sucker-rod string following the release of a stuck plunger. Analytical and numerical solutions to the free-torsional-vibration problem of the rod string after release are obtained. Based on these solutions, the effect of the resulting transient torsional process on the reliability of the threaded connections of the sucker-rod string is evaluated.

姓名

宋清华

职称/职务

教授

单位

山东大学

专家简介

山东大学机械工程学院教授、博士生导师、威海校区学科建设与研究生教育办公室主任，山东省高性能工具与系统重点实验室主任、先进材料高效精密制造学科与技术中心副主任、高效洁净机械制造教育部重点实验室副主任。兼任中国机械工程学会成组与智能集成技术分会常务委员、中国刀协切削先进技术研究会理事、广东省精准医学应用学会常务委员、山东省高层次人才发展促进会监事、山东省投资咨询专家委员会首席专家。长期从事高性能加工技术与装备、智能加工动力学等领域的科学研究。主持国家级、省部级科研项目30余项；在国内外权威期刊发表SCI论文200余篇；授权发明专利70余项；获省部级及行业协会科技奖励4项。先后荣获山东省优秀研究生指导教师、山东省优秀学位论文指导教师等荣誉称号。

报告摘要

本报告立足于新一代人工智能与现金制造系统深度融合的学术前沿，以构建高性能切削加工“状态全感知-过程全透明-决策全智能”的创新范式为总体目标，围绕多源信息跨尺度表征困难、数据驱动与物理机理相互割裂等核心挑战，从信息融合与智能决策的理论体系出发，系统阐述了融合感知与智能监测的研究背景及其理论价值。通过深入剖析现有感知与监测方法在可解释性与泛化能力方面存在的关键局限，凝炼出核心关键科学问题：如何构建多模态传感信息统一表征与融合的数学框架，以及如何实现机理模型与数据驱动方法的深度协同，从而建立兼具强泛化能力与可解释性的智能监测理论模型。重点介绍了团队在跨尺度信息融合理论架构、物理嵌入的深度表征学习，以及轻量化监测模型泛化理论等方向上的理论探索与研究进展。最后，对数字孪生与边缘计算赋能的实时自适应监测、以及监测模型与硬件系统协同设计等未来发展方向进行了展望，旨在为智能制造系统实现自主感知与智能决策提供理论基础与技术支撑。

姓名

蔡宝平

职称/职务

教授/院长

单位

中国石油大学（华东）

专家简介

中国石油大学（华东）二级教授、博导，入选国家杰青、科睿唯安“全球高被引科学家”，是香港城市大学香江学者、挪威科技大学高级访问学者，主要从事海洋油气装备技术的研究工作。近年来，主持国家自然科学基金、国家重点研发计划课题、国家科技重大专项、工信部高技术船舶科研项目等国家与省部级课题30余项。以第一或通讯作者发表SCI期刊论文80余篇，其中ESI高被引15篇；以第一作者出版英文学术专著3部，其中1部受到国家科学技术学术著作出版基金资助；以第一发明人授权发明专利40余项，其中美国等国际标准10项；制定国家标准1项、石油天然气行业标准1项。担任石油石化新型装备与技术教育部工程研究中心主任、山东省高端海洋油气装备设计制造重点实验室主任，是Reliability Engineering & System Safety等7个SCI期刊的领域编辑或编委。研究成果获山东省科学技术进步一等奖、海洋工程科学技术奖一等奖、山东省自然科学二等奖、北京市科技进步二等奖、中国机械工业技术发明二等奖、日内瓦国际发明展特别嘉许金奖、中国专利奖优秀奖。

报告摘要

海洋蕴藏着全球70%以上的油气资源，是未来油气开发的主战场。海洋石油水下装备是海洋油气勘探开发最重要的高端技术装备。面向海洋油气水下装备高可靠性设计制造问题，开展了海洋石油防喷器系统、水下生产设施轻型介入装备、全电控井下安全阀、全电控水下闸阀等装备设计制造关键技术研究；围绕海洋油气装备高效智能运维瓶颈问题，开展了水下管汇泄漏定位、水下防喷器故障诊断、水下生产系统故障诊断、水下生产系统故障预测、水下生产系统视情维修和海洋石油水下基础设施韧性调控的理论与方法研究。研究成果被国内外专家引用并高度评价，开发的装备系统通过行业质量认证，在多个石油装备企业和海洋油气田推广应用。

姓名

沈佳佳

职称/职务

教授

单位

南京理工大学

专家简介

南京理工大学材料科学与工程学院教授，机械工程博士，国家级海外高层次青年人才、江苏特聘教授，入选2024、2025年度全球前2%科学家榜单。主要从事高熵/多主元合金焊接与增材制造、异种材料连接、先进结构材料组织调控与力学行为研究。近五年发表SCI论文94篇，其中第一作者/通讯作者20余篇，7篇入选ESI高被引论文，2篇入选热点论文；Google Scholar引用3200余次，h指数32。现任《Advanced Materials Joining、《Metals》及《Applied Sciences》等青年编委。

报告摘要

先进能源装备关键构件长期服役于高温、强载荷及复杂腐蚀环境，连接接头的组织稳定性与力学可靠性直接影响装备的安全服役。高熵合金凭借独特的多主元成分设计以及优异的强韧性、耐蚀性和高温稳定性，为先进能源装备材料及异质结构的高可靠连接提供了新的设计空间。然而，连接过程中的快速热循环、非平衡凝固和界面成分混合易诱发元素偏析、亚稳相转变及局部性能不均匀，制约接头的长期服役可靠性。本报告聚焦高熵合金同质与异质连接，构建“连接热过程-成分迁移-组织演化-界面响应-力学性能”的分析框架，结合热力学计算、同步辐射X射线衍射、EBSD/TEM及数字图像相关等多尺度方法，系统阐明热循环驱动的组织演化与性能响应、填丝成分对凝固路径和熔合区强化的调控作用，以及异质连接中的宏观偏析、局部时效与界面性能演变机制。在此基础上，进一步讨论后续热处理对相稳定性及强韧协同的影响，并展望多尺度表征、计算模拟与数据驱动方法在高熵合金连接设计中的应用，为先进能源装备关键构件的高可靠连接与性能一体化调控提供理论依据和技术参考。

姓名

王帅帅

职称/职务

教授

单位

中国海洋大学

专家简介

中国海洋大学工程学院教授、博士生导师，国家级青年人才。2021年获挪威科技大学（NTNU）海洋工程博士学位，曾在NTNU从事博士后、研究员及长聘副教授工作。长期从事漂浮式海上风电与深远海复杂装备动力学与安全研究，重点聚焦整机多物理场耦合动力学、传动系统与关键机械部件、结构载荷与响应、疲劳与极限安全及智能运维等方向，形成了从设计、建模、分析到试验与运维的系统研究能力。主持国家海外优青、国家自然科学基金面上项目等多项国家及省部级科研项目，并主持或参与挪威、欧盟等国际合作项目。已发表SCI论文60余篇，引用1300余次，H指数20，获Moan-Faltinsen最佳论文奖等荣誉。现任2本SCI期刊副主编，并担任6本SCI期刊编委或专刊主编；受邀担任国际顶会OMAE、MARSTRUCT主题召集人及分会场主席，入选欧洲风能学会风机传动系统技术委员会委员，并获聘香港科技大学CRFVS杰出访问学者。

报告摘要

随着海上风电向深远海、大型化、智能化和绿色化持续发展，漂浮式风电正由单机示范迈向规模化应用，并逐渐成为未来海洋能源开发的重要方向。风、浪、流、浮体运动、柔性结构、机械传动与控制系统的相互作用，使漂浮式风机由传统单机装备演变为典型的多物理场强耦合复杂系统，也对其设计、建模、分析、试验与运维提出了新的挑战。本报告将回顾海上风电的发展历程与技术演进，介绍漂浮式风机的基本原理、典型形式及国际前沿进展，重点讨论大型化条件下的整机耦合动力学、浮体与系泊设计、结构安全以及传动系统等关键机械部件的动态载荷与寿命问题。结合团队在概念设计、一体化建模、数值与物理试验、结构与传动系统分析及智能运维等方面的研究，进一步探讨海上风电由部件设计向系统协同、由额定工况分析向真实服役状态、由故障维修向状态感知和寿命预测的发展趋势，并展望数字孪生、人工智能及全生命周期智能化等未来前沿。

姓名

Vinothkumar Sivalingam

职称/职务

Associate Professor

单位

Shandong University

专家简介

Vinothkumar Sivalingam holds a Ph.D. in Mechanical Engineering and is an Associate Professor at the School of Mechanical Engineering, Shandong University, China. He also completed a postdoctoral fellowship at the School of Mechanical Engineering, Shandong University, China. He has approximately 14 years of teaching and research experience. He has published 70 research papers in international journals, and his research field encompasses advanced machining processes, additive Manufacturing and composite material characterization.

报告摘要

Machining of magnesium (Mg) alloy poses serious challenges due to strong tool adhesion and thermal softening, which can severely impair surface integrity in conventional machining. While most research studies have examined the performance of fresh cutting edges, there is a significant knowledge gap on the thermal and tribological behavior of an already established wear land under more sustainable cooling and lubrication conditions. This study addresses the knowledge gap by investigating the fundamental tribological interactions at the tool-workpiece interface in milling of Elektron® 43 Mg alloy using pre-worn uncoated carbide inserts with a flank wear land of Vb = 0.155 mm, under three cutting environments: dry, nanoparticle-enhanced minimum quantity lubrication (n-MQL), and cryogenic plus n-MQL (Cryo+n-MQL) conditions. The main objective is to determine whether such pre-existing wear land can remain stable and provide acceptable surface integrity when supported by advanced cooling and lubrication, thus linking tool reuse to the broader concepts of circular and sustainable manufacturing. Measurements of surface roughness and 3D topography, accompanied by detailed analyses of Vb, EBSD-based microstructural characterization, and residual stress, were conducted to elucidate the mechanisms of grain refinement, texture evolution, and stress development driven by interfacial shear. The results showed that the hybrid Cryo+n-MQL condition gives the best overall performance, with the lowest surface roughness, the most confined and uniform wear land, minimal material transfer, and a highly refined surface microstructure.

姓名

邵庆国

职称/职务

教授

单位

山东石油化工学院

专家简介

邵庆国，山东石油化工学院智能制造与控制工程学院教授、东营市无机功能材料重点实验室主任、山东省“泰山学者”青年专家、山东青年五四奖章获得者。长期从事新型功能材料研究，主持国家人社部人才专项、山东省高层次人才专项、山东省自然科学基金面上基金等科研项目10余项，发表SCI论文50余篇，授权专利10项；获山东省材料科技成果奖一等奖、中国创造学会创造成果奖二等奖、中国•山东博士后创新创业大赛决赛银奖，东营市博士后创新创业大赛一等奖；入选中国留学人员回国创业启动支持计划；兼任山东省材料学会常务理事、山东化学化工学会理事、中国石油大学（华东）等高校硕士生导师、“Carbon Neutralization”等多个SCI期刊编委会委员。

报告摘要

双碳战略背景下，风电、光伏等新能源规模化配套储能装备、新能源汽车动力电池、工业储能装置是能源装备智能制造领域核心发展方向，而电极材料的离子/电子传输效率直接决定储能装备的功率、能量密度与循环寿命，是高性能储能装备开发的关键瓶颈。层状碳基、过渡金属硫族化合物等电极材料普遍存在片层堆叠、层间距不足、离子传输通道匮乏、电荷转移阻抗高等问题，严重制约储能装备电化学性能与工程化应用。本报告围绕层间工程与孔工程两类微结构调控策略，面向锂离子电池、双离子电池、离子液体基超级电容器等主流储能装备电极材料开展系统研究，为高性能储能电极的智能制造、规模化制备提供新思路。

姓名

赵玉刚

职称/职务

教授/院长

单位

山东理工大学

专家简介

赵玉刚，山东理工大学先进制造研究院院长，二级教授、博士生导师、山东省“泰山学者”特聘专家、享受国务院政府特殊津贴、山东省有突出贡献的中青年专家、山东省高校“机械电子工程”重点学科首席专家，山东省机械工程学会理事；大连理工大学机械制造及其自动化专业博士毕业。长期从事特种加工、数控等方面的科学技术研究。承担国家级、省部级各类科研项目20余项，发表学术论文250余篇，授权发明专利61项，多项研究成果实现工业转化。作为第一完成人，获得山东省科技进步一等奖1项、技术发明奖1项、科技进步二等奖7项。

报告摘要

报告主要介绍混粉气雾化快凝高性能磁性磨料制备及其应用的近期研究成果，主要包括：

■混粉气雾化快凝高性能磁性磨料制备原理方法

■混粉气雾化快凝高性能磁性磨料制备关键技术

■高性能磁性磨料在难加工零件表面抛光中的应用

姓名

Ramil Guliev

职称/职务

Head of the Scientific Engineering Laboratory

Department of Petroleum Engineering

单位

Advanced Engineering Petroleum School, Petroleum Higher School, Almetyevsk State Oil University

专家简介

Head of the Scientific Engineering Laboratory at the Department of Petroleum Engineering, Almetyevsk State Oil University. The laboratory works on reservoir simulation and integrated modelling of oil field development.

The lab runs a portfolio of R&D projects spanning reservoir simulation, enhanced oil recovery, and machine learning for production operations – from early concept and feasibility analysis to pilot deployment and defense before technical councils.

One of the current research is on viscous fingering during the displacement of high-viscosity oil: how the instability is reproduced on grids of different resolution, where standard continuum two-phase models reach their limits, and how the effect can be transferred into coarse-grid field models through pseudo relative permeability curves and integral corrections.

Beyond research, we are focused on turning technology into products. We develop product concepts and startup initiatives at the intersection of AI and petroleum engineering – including AI-driven recommendation systems and ML surrogates for reservoir simulation (neural operators, FNO/PINO).

报告摘要

Viscous instability of Saffman-Taylor type is one of the key factors affecting the displacement of oil by a less viscous agent. In reservoir development problems, this phenomenon is important because viscous fingering may lead to early breakthrough of the displacing fluid, poor sweep efficiency, and lower technological performance of waterflooding and enhanced oil recovery processes.

This presentation is devoted to computational approaches for modeling the manifestation of viscous instability during oil displacement, with special attention to numerical aspects of the problem. It is shown that mathematical formulation, grid resolution, numerical diffusion, boundary conditions, and representation of heterogeneity can strongly influence the simulated fingering pattern. For such problems, it is especially important to separate physically meaningful instability from numerical artifacts, because numerical schemes may either suppress finger growth or produce structures that are not related to the real flow physics.

A significant part of the presentation considers numerical modeling using the open-source module porousMultiphaseFoam based on OpenFOAM. This tool allows studying the influence of mobility ratio, heterogeneity, and scale on the displacement front, and also comparing simulation results with published experimental and numerical data. In addition, results obtained in porousMultiphaseFoam are compared with simulations in a commercial reservoir simulator under identical initial and boundary conditions in order to evaluate applicability and limitations of different modeling tools.

Besides the cases discussed in the main study, the presentation also includes modeling of displacement in a Hele–Shaw cell as a basic framework for investigating viscous fingering under controlled conditions. In this way, computational modeling is considered not only as a tool for description of the phenomenon, but also as a basis for searching flow control regimes that may reduce its negative effects.

姓名

Naila Nasreen

职称/职务

Postdoc Researcher

单位

Shandong University

专家简介

Dr. Naila Nasreen is a Postdoctoral Fellow in the School of Mechanical Engineering at Shandong University, China. She completed her Ph.D. and postdoctoral research in the School of Mathematics at Jiangsu University, China, and previously served as an Assistant Professor and IPFP Fellow at Punjab University of Technology, Pakistan. Her research interests include nonlinear partial differential equations, neural networks, Schrödinger models, fractional calculus, and soliton theory. She has published more than 40 research articles in reputable international journals and serves as a reviewer and guest editor for several scholarly publications. Dr. Nasreen has received numerous academic distinctions, including the Outstanding International Student Award, Best Researcher of the Year in Jiangsu Province, and recognition for an excellent doctoral thesis. She was also included in Stanford University’s 2025 global ranking of the world’s top 2% scientists. With more than five years of teaching and research experience, she has contributed to the supervision of Ph.D. and master’s students and remains actively engaged in international research collaboration.

报告摘要

The shallow water equations describe water wave dynamics in shallow terrains, like coastal regions, rivers, and lakes. These models assume that water depth is small relative to the wavelength. In this stud, the new modified simple equation method and the generalized Arnous method are used to obtain diverse wave solutions for the (3+1)-dimensional shallow water wave equation, including solitary, anti-kink, and breather-type waves. The dynamic characteristics of these wave solutions are analyzed, exploring how varying free parameters impact their resulting forms. The impact of parameters on these wave forms is also analyzed, stability analysis is examined with two- and three-dimensional phase plots, revealing behavior of the dynamical problem. The modulational instability analysis confirms the stability of this dynamic model, ensuring the reliability of all analytical findings. These analytical solutions, represented graphically, hold practical significance in applied sciences and engineering, demonstrating this approach’s effectiveness and broad applicability.

姓名

Muhammad Arshad

职称/职务

Assistant Professor

单位

Department of Mathematics and Statistics, University of Agriculture Faisalabad

专家简介

Dr Muhammad Arshad received an Outstanding International Student Scholarship in 2017 from the Chinese government, and my doctoral thesis was also awarded an Excellent Doctoral Scholarship by Jiangsu University in 2018. He has published more than 95 research articles in indexed SCI-listed journals and has more than 3700 citations in reputed international journals of mathematical and engineering sciences. He was included in the "2023 and 2024 Top 2% of the World's Top Scientists list" released by Stanford University. He has also completed two research projects as Principal Investigator. He is the reviewer of several Web of Science and Scopus index journals. Currently, he has been working as an assistant professor at the Department of Mathematics and statistics, University of Agriculture, Faisalabad, Pakistan. He is serving as a Ph.D. supervisor authorized by the Higher Education Commission of Pakistan. His current research interests include nonlinear systems theory and application, soliton theory, Mathematical modeling, numerical analysis, and nonlinear differential equations. Dr. Arshad has developed novel methodologies, made important discoveries, and advanced our understanding of mathematics. He has demonstrated a remarkable ability to synthesize complex problems and produce original insights, leading to significant applications of applied mathematics.

报告摘要

New stochastic analytical solutions to three stochastic nonlinear Schrödinger equations arising in optical fiber communication systems, forced by multiplicative Brownian motion noise, are presented. Using the enhanced Sardar sub-equation method (SS-EM), various stochastic solitary wave solutions are derived in explicit analytical form. Modulational instability analysis confirms the stability of the obtained solutions. The results demonstrate the effectiveness of the proposed method for solving stochastic nonlinear evolution equations and modeling pulse propagation in dispersive optical fibers. Numerical visualizations using Mathematica 10.3 illustrate the influence of the noise intensity parameter (\sigma) on the wave structures. These findings provide useful insights into stochastic wave propagation, signal stability, and nonlinear dispersive effects in fiber-optic communication systems.

姓名

Tewodros Kassa Mersha

职称/职务

Lecturer

单位

China University of Mining and Technology

专家简介

Dr. Tewodros Kassa is a Lecturer in Mechanical and Electrical Engineering at the China University of Mining and Technology (CUMT). He earned his M.Sc. from Northwestern Polytechnical University and his Ph.D. from Wuhan University of Technology. His research specializes in Physics-Informed Neural Networks (PINNs), Condition monitoring, Vibration analysis, and Predictive maintenance, focusing on integrating physics-based AI models into intelligent automation and fault-diagnosis systems for industrial machinery.

报告摘要

Steel wire ropes are important safety load-bearing parts in cranes, hoists, elevators, offshore systems, mining machines, and other civil infrastructure projects. Their degradation is caused by coupled mechanisms, including tension, fatigue, bending-over-sheaves fatigue, fretting, wear, corrosion, and corrosion fatigue. However, predicting their operational lifespan remains a major challenge due to complex, coupled degradation mechanisms, including tension, bending-over-sheaves fatigue, fretting, wear, and corrosion. Non-Destructive Testing (NDT) methodologies-especially using Magnetic Flux Leakage (MFL) and other techniques such as guided waves, acoustic emission, and machine vision-have achieved high accuracy in detecting and classifying local defects. However, most of the research still centers on defect detection, localization, and classification rather than on integrated prognostics that translate sensed damage into physically meaningful health states, remaining useful life, and maintenance decisions. This talk outlines the integration of sensing technologies with physics-based and machine learning models, in a single conceptual framework of physics-informed intelligence for wire rope prognostics.

姓名

邵筱焱

职称/职务

助理研究员

单位

中国石油大学（华东）

专家简介/代表性成果

邵筱焱，中国石油大学（华东）助理研究员，主要从事水下装备故障预测与生产优化的研究工作。获2025年度国家资助博士后研究人员计划B档资助。在IEEE Transactions on Industrial Electronics、Reliability Engineering & System Safety、Mechanical Systems and Signal Processing、Ocean Engineering等期刊上发表论文20余篇，总引用1000余次，其中2篇文章入选ESI高被引论文。授权中国发明专利12项、美国专利3项、澳大利亚专利3项。主持国家科技重大专项专题2项，山东省博士后创新项目1项。担任SCI期刊Reliability Engineering & System Safety（中科院一区，影响因子：11.0）客座编辑。出版的学术专著《水下生产系统智能运维（英文版）》获国家科学技术学术著作出版基金资助。

报告摘要

针对信息采集和数据存储技术限制下水下监测数据缺失，水下采油树管线腐蚀管理与剩余使用寿命预测效能差的问题，提出了基于人工智能增强数据的水下采油树管线故障预测方法。建立了水下监测信息中不完整变量和缺失变量的填充和验证模型，构建了基于动态贝叶斯网络和长短期记忆神经网络结合的数据增强长周期预测模型。通过对南海某油田水下管线的监测数据进行验证，证明了所提方法的有效性，并计算了管线的日均腐蚀量、估计失效时间及其剩余使用寿命概率分布，分析了影响管线腐蚀速率的主要因素。

姓名

高春坦

职称/职务

助理研究员

单位

中国石油大学（华东）

专家简介

高春坦，中国石油大学（华东）机电工程学院助理研究员、博士后，主要从事海洋油气装备可靠性设计理论与方法的研究工作。近年来，入选国家资助博士后研究人员计划C档，主持/参与国家科技重大专项、国家重点研发计划课题、国家自然科学基金项目、工信部高技术船舶科研项目专题、企业课题6项；发表SCI期刊论文12篇；授权发明专利9项，其中美国发明专利2项，登记软件著作权2项；获日内瓦国际发明展特别嘉许金奖、山东省研究生创新成果奖等。

报告摘要

水下全电技术是深水油气装备发展的革命性技术，井下安全阀是油气生产井、注水注气井必需的井控装备，安装在井内管柱中，可关闭油气井生产或注水注气通道，防止井涌等事故发生。研究团队提出了“以电代液、以磁代液”的设计思路，在液控井下安全阀的基础上设计了全电井下安全阀。本报告从海洋石油全电控技术、全电控井下安全阀结构系统设计与开发、控制系统设计与开发和系统可靠性测试与评价四部分汇报全电控井下安全阀设计制造理论与方法的研究工作。

姓名

杨超

职称/职务

助理研究员

单位

中国石油大学（华东）

专家简介

杨超，中国石油大学（华东）机电工程学院博士后、助理研究员，主要从事水下装备故障诊断的研究工作。近年来，参与国家自然科学基金项目2项、国家重点研发计划课题2项，国家重大科技专项专题1项。发表SCI论文20余篇，其中ESI高被引论文5篇；授权中国发明专利11项、美国专利3项。研究成果获中国专利优秀奖、日内瓦国际发明展特别嘉许金奖等荣誉和奖励。

报告摘要

水下生产系统是海洋油气开发的重要装备，突发性故障不仅可能中断油气生产，还可能造成环境污染和经济损失。实时监测和故障诊断可有效识别异常，减少安全事故，提高系统维护效率，避免过度或不足维护导致的资源浪费和停机。针对水下生产系统早期故障特征弱、非迭代诊断方法易忽略早期故障的问题，提出了数字孪生驱动水下生产系统早期故障诊断方法，构建了数字孪生驱动的诊断-验证-再诊断的故障诊断框架，实现了故障的多次迭代诊断，降低了早期故障漏诊率。开发了水下生产系统故障诊断系统，通过了系统功能测试和准确度测试，在多个海洋石油生产平台进行了示范应用。

姓名

赵伟栋

职称/职务

副教授

单位

哈尔滨工业大学（威海）

专家简介

赵伟栋，哈尔滨工业大学海洋工程学院副教授，山东省高层次人才。主要研究方向为船舶与海洋工程结构物疲劳与断裂力学分析、多尺度力学、结构振动与控制、AI4海洋工程等。主持国家自然科学基金青年科学基金项目、173技术领域基金、山东省自然科学基金等10余项科研项目；在Marine Structures、Ocean Engineering、Applied Ocean Research等国际顶刊发表高水平论文30余篇；获中国造船学会科技进步奖二等奖、中国·山东博士后创新创业大赛金奖，入选山东省高层次人才工程计划、威海市英才计划等。

报告摘要

针对极地复杂冰况与低温环境耦合作用下船体结构多裂纹疲劳失效机理不清的难题，本报告提出一套载荷-材料-损伤全链条分析方法。首先，通过DH36钢及其焊接节点的低温静力、疲劳及裂纹扩展试验，揭示了-60℃至0℃范围内材料强度提升、裂纹扩展速率降低但脆性增强的规律。其次，构建船-冰-水耦合数值模型，发展了面向层冰、冰脊、浮冰及实景重构复杂冰场的长时历冰载荷仿真算法，获取了长时历疲劳载荷数据。在此基础上，融合热点应力S-N曲线与断裂力学Paris模型，评估典型焊接节点疲劳损伤，并引入扩展多尺度有限元与近场动力学耦合框架，实现从微观裂纹萌生到宏观结构断裂的跨尺度模拟。最后，针对多裂纹非同步扩展问题，建立基于MLP代理模型与动态贝叶斯网络的寿命预测方法，该方法可与结构监测数据实时交互，实现裂纹扩展状态的动态更新与剩余寿命在线评估，为构建极地船舶结构疲劳数字孪生体提供了关键技术支撑。

姓名

韩峰

职称/职务

讲师

单位

临沂大学

专家简介

韩峰，山东东营人，工学博士，临沂大学机械与车辆工程学院讲师、硕士生导师，博士毕业于东北大学，研究方向为非平衡气体动力学、流动传热与能源动力。先后在Int. J. Heat Mass Tran.、ACS Sustainable Chem. Eng.、Energy、Int. Commun. Heat Mass、Powder Technol.、Int. J. Therm. Sci.、Adv. Powder Technol.、Aerosp. Sci. Technol.、Vacuum、Eur. Phys. J. Plus及《真空科学与技术学报》《真空》等国内外学术期刊发表论文 20 余篇，获授权发明专利 6 项，所著论文入选中国科学技术协会 2024 年度"科技期刊双语传播工程"。现任《真空》杂志青年编委，担任《真空》《核科学与工程》、Physics of Fluids、International Journal of Automotive Manufacturing and Materials 等国内外期刊审稿人。主持临沂市重点研发计划项目 2 项、企业委托项目多项。

报告摘要

面向能源装备微型化、石化气体分离与智能传感的工程需求，微型气体输运与分离装备成为机械、能源与新材料交叉领域的研究热点。Knudsen 泵是一种利用稀薄气体热驱动流原理工作的微型气体输运装置，具有无移动部件、结构简单、能耗低、易于 MEMS 集成等突出优势。本报告综述其气体输运与分离特性的研究进展，涵盖：热蠕流、热边缘流等典型热驱动流的形成机理及 Knudsen 数的决定性作用；三类 Knudsen 泵构型的泵送与真空性能变化规律；混合气体选择性输运的分离机制及温度、通道构型、表面调节系数等参数的影响规律；基于直接模拟蒙特卡洛（DSMC）方法的数值预测与气体–表面相互作用模型的研究现状。应用层面，报告展望了其在石化气体分离（如天然气提氦、轻组分回收）、微型真空获得、MEMS 气体传感及新材料微加工制造等领域的应用前景。

姓名

高明

职称/职务

讲师

单位

临沂大学

专家简介

高明，临沂大学讲师。博士毕业于浙江大学，电气工程专业。研究方向为高效电能变换及其先进控制技术、航空二次电源系统、综合能源系统。已发表SCI/EI检索学术论文16篇，主持山东省自然科学基金青年项目1项，横向课题1项，参与国家自然科学基金面上项目1项、国家“十三五”装备预研教育部联合基金项目1项、国家能源局“赛马争先”创新平台区域综合智慧能源系统项目1项。

报告摘要

本报告以能源装备制造的技术开发实践为主线，介绍AI在设计、编程、调试及工具链集成等环节的具体应用方式。设计阶段构建了基于RAG的技术合成系统，以设备关键参数作为检索入口，通过多条推理路径对企业自有技术数据库进行并行检索与要素拆解，将存量技术方案重组合成为新的工艺或设计提案。编程环节将标准化代码生成任务交由AI完成，开发者聚焦于功能边界定义与输出结果的物理合理性校验。调试环节借助AI对设备日志与传感数据的分析能力辅助故障定位，压缩根因排查周期。工具链层面，各AI软件之间的数据贯通与协同调用比单点功能更为关键，打通从设计生成到产线部署的完整链路是效率提升的前提。

姓名

魏麟骄

职称/职务

讲师

单位

中国石油大学（华东）；山东石油化工学院

专家简介

山东石油化工学院讲师，中国石油大学（华东）在职博士研究生。主要研究方向为水系锌离子电池及催化新材料。近年来，主持多项相关厅局级项目，发表SCI论文4篇。

报告摘要

水系锌离子电池兼具高安全性和低成本的优势，但其商业化进程目前仍受到锌阳极上不受控制的枝晶生长和有害副反应的严重阻碍。针对这一难题，本工作提出将硫酸根插层的铜铝水滑石（Cu-Al LDH）作为人工界面相。该材料巧妙地将空间位阻筛分效应与亲锌配位作用相结合，协同调控Zn²⁺的去溶剂化与沉积过程。具体而言，LD具有亚纳米级的层间通道（3.7 Å），能够物理筛分水合锌离子[Zn(H₂O)₆]²⁺，促进其部分预去溶剂化并引导均匀的离子通量，从而抑制由水引发的副反应。与此同时，被限制在层间通道内的SO4²⁻阴离子作为亲锌锚点，重构了界面处的溶剂化构型，在加速去溶剂化动力学的同时，也限制了SO4²⁻的迁移。得益于此，Cu-Al LDH 界面相实现了无枝晶且高度可逆的锌沉积，并显著抑制了副反应。测试表明，Cu-Al LDH@Zn 阳极展现出超过2500小时的超长循环寿命，平均库仑效率高达99.8%；由该阳极组装的Cu-Al LDH@Zn//NVO全电池在3 A g⁻¹的电流密度下循环1000次后，仍能保持87%的容量。这项工作证明，层间化学为主动调节溶剂化结构提供了一种强有力的策略，为开发高耐用、高可逆的水系电池开辟了新途径。

姓名

坚传勇

职称/职务

讲师

单位

山东石油化工学院

专家简介

长期致力于后摩尔时代二维材料与器件相关研究，主要研究方向包括二维介电材料、二维光电器件及电催化析氢。面对硅基器件微缩带来的物理极限挑战，二维材料凭借原子级厚度、优异电学特性与可调能带结构，为突破现有器件技术瓶颈提供了重要技术路径。围绕该方向系统开展二维介电材料可控生长与界面工程研究，聚焦栅介质/沟道界面质量这一关键科学问题；构筑高性能二维光电器件，开展光电响应调控与器件集成技术研究；同时针对电催化析氢体系优化催化剂活性位点，拓展二维材料在能源转化方面的应用。已累计发表学术论文48篇，其中第一/通讯作者论文13篇，H指数达22，多项成果发表于本领域权威期刊；主持/参与国家级项目2项、省部级项目3项。在二维材料与器件方向积累了扎实的研究基础，具备突出的科研创新能力，相关研究兼具前沿科学价值与潜在工程应用前景。

报告摘要

随着先进制程不断逼近物理极限，硅基晶体管因短沟道效应面临栅控失效、关态漏电剧增与功耗失控等根本性瓶颈。以二硫化钼为代表的二维半导体凭借原子级厚度、无悬挂键表面等本征优势，成为后摩尔时代低功耗电子器件的重要发展路径，在能源装备核心感知、控制芯片领域具备应用潜力。然而，二维材料表面缺乏成核位点，传统原子层沉积工艺的栅介质成膜不连续、界面陷阱密度极高，栅介质/沟道界面已成为制约二维器件性能提升的核心瓶颈。本报告围绕 “从材料生长到界面调控” 这一主线，系统介绍我们在二维稀土基单晶介电材料方面的相关研究进展；打通了“材料设计—单晶生长—界面调控—器件验证”的全链条，为面向能源装备的二维半导体器件晶圆级集成与三维单片堆叠奠定了材料与工艺基础。