Zheng Hong (George) Zhu is the Tier 1 York Research Chair in Space Technology, professor and Chair of the Department of Mechanical Engineering, York University in Toronto, Canada. He is one of the world’s renowned experts and a visionary in the areas of dynamics and control of tethered spacecraft, autonomous space robotics, visual servo, and advanced manufacturing (3D printing). His research also enriched the scientific and engineering literature by 262 papers in peer reviewed journals and conference proceedings. Dr. Zhu received B.Eng., M.Eng. and Ph.D. degrees in mechanics from Shanghai Jiao Tong University in Shanghai China, and M.A.Sc. in robot control from University of Waterloo and Ph.D. in mechanical engineering from University of Toronto all in Canada.He serves as the editor-in-chief, associate editors, and editorial board members for many international journals. Currently, he is the fellow of Engineering Institute of Canada, Associate fellow of AIAA, Fellow of CSME and ASME, senior member of IEEE, and licensed Professional Engineer in Ontario.
Majid Ghassemi is a Professor of Mechanical Engineering Department at the K. N. Toosi University of Technology in Tehran, Iran. He has over 20 years of academic and industrialexperience and served as the President of the K. N. Toosi University of Technology from 2010through 2013. Professor Ghassemi has also served in several public and private boards and panels and supervised several undergraduate, masters and PhD students, published several books and many journal and conference papers. Professor Ghassemi was recently endorsed by The Royal Academy of Engineering of the United Kingdom as an Exceptional Talent.He is currently an Editor-in-Chief of the International Journal of Prevention and Treatment and Managing Editor of the American Journal of Mechanical Engineering (AJME) as well as Editorial Board member for many international journals. He also serves as member in several international conferences. Professor Ghassemi received his Ph.D. in Mechanical Engineering from Iowa State University in 1993.
This paper studies the trajectory planning for autonomous rendezvous and proximity maneuvering of a spacecraft near a non-cooperative spacecraft in an elliptical orbit using pulse-width pulse-frequency thrust. The problem is formulated by converting the continuous control input, output from the state dependent model predictive control, into a sequence of pulses of constant magnitude by controlling the thruster firing frequency and duration. The state dependent model predictive control is derived by minimizing the control error and control roughness of the modulated control input for a safe, smooth and fuel efficient approaching trajectory. The numerical results show that the proposed state dependent model predictive control with the pulse-width pulse-frequency modulation is able to effectively generate optimized trajectories using equivalent control pulses for the proximity maneuvering with less energy consumption.
Zheng Hong (George) Zhu is the Tier 1 York Research Chair in Space Technology, professor and Chair of the Department of Mechanical Engineering, York University in Toronto, Canada. He is one of the worldâ€™s renowned experts and a visionary in the areas of dynamics and control of tethered spacecraft, autonomous space robotics, visual servo, and advanced manufacturing (3D printing). His research also enriched the scientific and engineering literature by 262 papers in peer reviewed journals and conference proceedings. Dr. Zhu received B.Eng., M.Eng. and Ph.D. degrees in mechanics from Shanghai Jiao Tong University in Shanghai China, and M.A.Sc. in robot control from University of Waterloo and Ph.D. in mechanical engineering from University of Toronto all in Canada.He serves as the editor-in-chief, associate editors, and editorial board members for many international journals. Currently, he is the fellow of Engineering Institute of Canada, Associate fellow of AIAA, Fellow of CSME and ASME, senior member of IEEE, and licensed Professional Engineer in Ontario.
Professional Science Masterâ€™s (PSM) degree programs were established to educate students in both advanced STEM knowledge and business skills. The Master of Science in Professional Science (MSPS) program at Middle Tennessee State University (MTSU) was established in a partnership between science and business faculty to provide middle Tennessee with a highly trained, business-savvy workforce in three concentrations: Biostatistics, Biotechnology, and Health Care Informatics. Since then, it has added Actuarial Sciences, Geosciences, and Engineering Management. The Engineering Management MSPS concentration is a highly attractive career opportunity for students from a mechanical and mechatronics engineering background. The leading-edge engineering courses provide students with certifications in PMI Project Management, Six Sigma, and lean manufacturing, as well as providing additional education in safety processes and engineering management. The business coursesâ€“which are required of all MSPS studentsâ€“prepare students for leadership and management roles, so that engineering management students graduate ready to both design the solutions and lead the their implementation. Students put all of their skills to practice in their capstone internship in industry, where more than 70% are eventually offered jobs. These graduates are then on a fast-track for the kinds of high-paying, in-demand manufacturing management jobs.
Dr. Saeed Foroudastan is the Associate Dean for the College of Basic and Applied Sciences and professor of Mechatronics Engineering and Program Director of the MS-PS Program at Middle Tennessee State University. He received his B.S. and M.S. in civil engineering, and Ph.D. in mechanical engineering from Tennessee Technological University. He has six years of industrial experience as a Senior Engineer and 20 years of academic experience teaching. He has also served as an advisor, performed extensive research, published numerous technical papers, received multiple awards, and secured more the $2 million in the form of internal and external grants and research funding including an NSF Mechatronics and another NSF msps grants.
Automotive weight reduction or lightweighting has been an important factor for every automaker in order to meet the CAFE (Corporate Average Fuel Economy) regulations of the particular country. Mass reduction versus increased strength and stiffness have been challenging to balance in real life due to other competing functional performance of a vehicle such as crash performance, aesthetics, corrosion resistance, cost, reliability and joining methodologies to mention a few. Steel and its alloys has been and still will be the dominant material used in an automobile. However, use of multi-material technologies with aluminum, magnesium, plastics and composites, together with steel is drawing the attention of many automakers. In this proposed keynote talk some of the above mentioned issues and CAFE regulations and how they can be addressed using lightweighting technologies will be broadly covered. Some details about using different grades and forms of steel and aluminum alloys for the body in white (BIW) components and the role of composite materials will be discussed. Some case studies developed by SAGA, CAR, and other industry experts will be discussed. Joining methodologies of multi-materials will also be discussed in this lecture. This proposed talk has been developed for engineering professors, students, engineers and technical personnel involved in all fields related to the automotive vehicle design or development. Additionally, this talk can be valuable to those with component design responsibilities in the above areas. Many of the concepts covered in the lectures are planned to be complimented by Q&A, which further enhances learner interactivity.
Raghu Echempati has completed his Ph.D. from The Indian Institute of Technology, Kharagpur (India) and postdoctoral studies from University of Florida, USA. He is the professor of design and director of ME Graduate Admissions Committee. He received Fulbright scholar award two times and Erskine Scholar award. He is an active applied researcher and a reviewer of many professional organizations both in USA and other international organizations. He has published more than 100 papers in reputed journals and peer-reviewed conference proceedings and has been serving as an editorial board member of repute.
VÃšTS, a.s.,is engaged in the design and manufacture of special single-purpose machines. It equips them with its developed control systems that enable the implementation of the relevant technology. The Department for Mechatronics has been conducting application research of electronic cams based on HW and SW components of Yaskawa (Japan) for more than 10 years. Because electronic cam applications are related to proper control systems, a general control system was developed based on a state machine concept with manual and automatic modes. This concept is common in machine tool control systems. However, there is a fundamental difference in the automatic mode where the program logic of electronic cams is used to control the individual NC axes. The movement of working links or individual axes is derived from displacement laws, including the 1st and 2nd derivatives, which are utilized in feedforwards of speed and torque of the cascade control structure in the servo converter. The concept of the control system with electronic cams was used for a number of single-purpose machines, two of them will be mentioned. The first is a single-purpose machine for machining wooden slats of folding rulers. On this machine, there will be demonstrated the main features of electronic cams with the control system and their application issues, which is primarily to achieve the required positional accuracy,dependent on the dynamics of working movements. The second application is then a single-purpose experimental machine tool for milling and grinding technologies of conventional radial cams. Attention will also be paid to the issues of the input source data of motion functions of electronic cams and NC axes.
Miroslav Vaclavik is born in 1943. He is a Faculty of Mechanical Engineering of the Technical University of Liberecâ€“ 1966. He done this Ph.D.in â€“ Prague Faculty of Mechanical Engineering of ÄŒVUT Prague (Czech TechnicalUniversity in Prague)â€“ 1972. He was professor in mechanical Engineering of the Technical University of Liberec â€“ 2000. He is a General Director of the Research Institute Vuts Liberec.
Liquid fuels produced from various waste resources could replace fossil diesel use in stationary and mobile engines. These fuels could play a very important role in meeting the greenhouse gas (GHG) reduction targets. Waste resources such as waste cooking oil, paper industry sludge, anaerobic digested sludge, sewage sludge, chicken skin, lamb fats and nonedible oils were converted to biodiesels and liquid oils through thermochemical processes. The physical and chemical properties of these fuels were measured and the results were compared with the fossil diesel and biodiesel standard. These fuels were used in the compression ignition engines as neat (100%) or as blended with fossil diesel or biodiesel in various proportions. In this talk, an overview of the engine combustion and performance characteristics will be presented when these alternative fuels were used in the diesel engine. The advantages and limitations of using these fuels in diesel engines will also be discussed.
Dr Abul Kalam Hossain is a Chartered Engineer, he has completed his PhD from Cranfield University, UK. He is currently working as a Lecturer in the Mechanical Engineering and Design Group at Aston University, UK. Prior to that, he worked in the industry as a Mechanical Engineer for 6 years. His research expertise is on the use of low carbon sustainable fuels in internal combustion engines for transport, power and multi-generation applications (including electricity, cooling, heating and desalination). He has published over 30 articles in reputed journals and conference proceedings. Dr Hossain is a Chartered Engineer, and a member of the Energy Institute. He is a Fellow of the UK Higher Education Academy.
Over the past thirty or so years, academics have been investigating the use of a range of machine learning algorithms for computational engineering. An example is using the finite element method to train a neural network to estimate the deflection of a loaded structure. The trained neural network is then used to perform stress analysis, for a structure it has not been shown before, without needing to use finite elements. Generally speaking, this type of work has not been particularly high profile and has not been adopted in commercial software packages. Many of the research outputs sound like parlour tricks and exist as curiosities in the back catalogue of scientific journals, far from practical application due to the limited computing capabilities, processing power and storage, available at the time the research was carried out. Nowadays, it is difficult to avoid the buzz phrases of artificial intelligence, data driven computing and cloud services. Suddenly, computers have sufficient power to reawaken these ideas and transform them into a new generation of simulation tools. If the predicted disruption to computational engineering was not already profound, consider the increasing maturity in natural language processing; the use of digital assistants is commonplace for making calls, playing music and shopping. In this paper, I will describe how the convergence of these technological advances will soon lead to the first generation of engineers who will discard their mouse, keyboards and touch screens and instead converse with their intelligent digital assistant: Alexa, the stress analysis engineer.
Dr Margetts was awarded a PhD in Civil Engineering in 2002 from the University of Manchester and an MBA in International Engineering Business Management by the Alliance Manchester Business School in 2011. He is currently a Senior Lecturer in Structural Integrity in the School of Engineering, University of Manchester. He also holds a number of leadership roles in external organisations, where he actively promotes the industrial exploitation of High Performance Computing in engineering simulation. These include elected Chair of the NAFEMS HPC Technical Working Group and elected Chair of the PRACE Industrial Advisory Committee.
Contemporary robot control methodologies have their origin in the classical control systems theory and practice. Except for the increased adoption of modern computers in the hardware implementation and adaptations of software, the design and analysis has been limited to the original knowhow. When the robotics field covered operations in mostly structured environments there was limited need to explorebeyond standard requirements of high speed and high repeatability. These along with the payload capacity, robot weight and power requirements provided the necessary specifications that could be met in most applications. The situation started to change when the environments became unstructured and not fully known. This was brought up by the emergence of mobile robot applications and interactions of human-robot in many applications. It gave rise to requirements that could not be satisfied with contemporary control systems methodologies. As a result, a new trust emerged, that of Artificial Intelligence. It provides tools to deal with situations that are basically complex, such as robots operating in unknown and continuously changing environments. It has provided an opportunity to use fundamental AI techniques to control thee systems operating in only partially known situations. There is a need to look at this quest from the critical point of view that AI serves well when the systems can be a priori properly trained or used in non-real time applications, ex. e-commerce, as opposed to robotics that requires real-time operation and adequate training thus posing limitations in the current use of AI.
Goldenberg is the founder of the field of Robotics at University of Toronto where he has been since 1982 as a Professor of Mechanical and Industrial Engineering, cross appointed in the Institute of Biomaterials & Biomedical Engineering, and in the Electrical and Computer Engineering. He is currently a Professor Emeritus. Dr. Goldenberg is also an Adjunct Professor at Ryerson University and Guest Professor at Nanjing University of Science and Technology, P.R. China. Dr. Goldenberg has supervised to-date the largest number of graduate students in the Faculty of Applied Science and Engineering (46 PhD and 64 MASc). He has an exceptional publication record with over 6500 citations (128 archival journal papers, 294 papers in major conferences, 15 book chapters and 105 patents granted and applied). The citations count is one of the highest in the Department of Mechanical Engineering and in the Faculty of Applied Science & Engineering. From 1975-1981 Dr. Goldenberg has been an employee of SPAR Aerospace Ltd., of Toronto, working on the development of the first Space Shuttle Remote Manipulator System (Canadarm). Dr. Goldenberg is the founder and President of Engineering Services Inc. (ESI) - www.esit.com, established in 1982. ESI is a high-technology company involved in the development of robotics-based automation and technology. Under his leadership the company has achieved significant growth and a global leading role in a wide range of industrial sectors. From 2000-2001 Dr. Goldenberg was also the President of Virtek Engineering Science Inc. (VESI), a high-technology company formed with the acquisition of part of ESI by Virtek Vision International Ltd., a publicly-listed company. Dr. Goldenberg is also President of Anviv Mechatronics Inc. (AMI), which he founded in 2006. Anviv is a high-technology company involved in the development of mechatronics products. In May 2015 ESI has been acquired by a Chinese consortium located in Shenzhen, P.R. China. Dr. Goldenberg has continued to be the President of ESI after the acquisition until the Chinese consortium became a public company in November 2016 listed in Hong Kong and Dr. Goldenberg was appointed as Chief Technology Officer of the public company. He terminated this appointment on May 12, 2019. As of May 2019, Dr. Goldenberg has returned to the University on part-time basis to work on graduate research in the use of Artificial Intelligence in advanced Robotics, focusing on Personal Service Robots. He also continues his business activities in several ventures in this domain through Anviv Mechatronics Inc., the company he founded in 2006. Dr. Goldenberg is a Life Fellow of the Institute of Electrical and Electronics Engineers, Inc. (IEEE), a Fellow of the American Society of Mechanical Engineers (ASME), a Fellow of the Engineering Institute of Canada (EIC), a Fellow of the Canadian Academy of Engineering (CAE), a Fellow of The American Association for the Advancement of Science (AAAS), a Member of the Professional Engineers of Ontario (PEng), and a Designated Consulting Engineer in Ontario. He is the recipient of the 2010 PEO Engineering Medal for Entrepreneurship, the 2013 EIC Sir John Kennedy Medal for Outstanding Merit in the Engineering Profession and the 2016 IEEE Canada A.G.L. McNaughton Gold Medal for Exemplary Contributions to the Engineering Profession. Dr. Goldenberg is a former editor of the archival international journal IEEE Transactions on Robotics and Automation, and a member of the editorial boards of Robotica, Robotics in Japan, Journal of Robotics, Robotics Journal, Scientific World Journal, Industrial Engineering and Management Journal, SOJ Robotics and Automation and International Journal of Automation and Computing. Dr. Goldenberg obtained his PhD in 1976 from the University of Toronto, and his MSc and BSc degrees from the Technion, Israel Institute of Technology, in 1969 and 1972, respectively. Dr. Goldenberg was born in Bucharest, Romania.
At the department of Mechanical and Materials Engineering (MME), students in the engineering technology program, must complete a capstone senior design (SD) project. Prior to fall semester, students are required to submit their SD idea to the faculty for input and approval. Some of the projects are company sponsored. Based on their problem statement and a detail background on their intended design ideas, the faculty will vote. Once the SD ideas are approved, the SD process starts with a written proposal. The next step is the design and analysis phase where students begin analyzing the components for material selection and size. Finally, a complete 3D assembly model is created with a set of fabrication drawings. The final step is the manufacturing/fabrication phase. Once the materials are gathered then the fabrication process to produce a functional prototype starts. The prototype will be tested to meet the objectives.
Associate Professor at University of Cincinnati College of Engineering and Applied Science Mechanical and Materials Engineering Department in MET Program
Aimee Frame is a Associate Professor-Educator and current Undergraduate Program Director for Mechanical Engineering at the University of Cincinnati. She received her MS in Mechanical Engineering from the Georgia Institute of Technology, USA and her PhD in Mehcanical Engineering from the University of Cincinnati, USA. Aimee has spent the last ten years developing and teaching undergraduate coursework for the Mechanical and Materials Engineering department at UC.
System paramenter identification is an important part of the modeling and control of systems. In many undergraduate courses, various first order system and second order system theories are taught as individual modules and assessed in a similar fashion. While students may be able to understand these concepts individually, they may struggle to determine which estimation method is needed when faced with an unknown system. To address this issue, students are given several boxes that contain unknown electrical circuits. Using step response data and frequency response data, students must determine the correct methods to estimate the appropriate system parameters necessary to model the system in each box. During this laboratory experiment, it is common to observe student groups trying to identify first order systems using second order techniques or using time domain techniques on frequency domain data. Through these mistakes and subsequent discussions with the groups, students gain a better understanding of the various techniques and the connections between previous theoretical coursework and upper-level design courses.
This paper will describe our experience in designing, building and testing a bug collection mobile robot. The robot will be used in the remote fields with different terrains ranging from grassy fields to rugged forest areas. The robot should be able to navigate through tall grass and short bushes, muddy area, and withstand harsh weathers. The performance of the robot in stability and reliability will be discussed as well in the paper.
Hybrid press mechanism is described as a 7 link mechanism driven by a servo motor and a condtant speed motor representing 2 DOF system.The mechanism includes seven links wth seven revolute joints and one prismatic joint. This confoguration is previously suggested as an alternative for servo presses indeed. Motion characteristics are specially chosen for metal shaping operations as case study. Ram output characteristics are studied for industral stamping operations first. Hybrid drive has offered programmability thus providing flexibility at the output. Mathematical model of the system is used while implementing PID control issues with Fuzzy. PID. Inverse kinetics issues are considered. Different Fuzzy structure designs are available; direct action type, fuzzy gain scheduling type, and hybrid fuzzy type. These designs are then studied, and implemented to hybrid compared with simulations on the base of performance indexes. Their performances are seen in MatlabÂ® environment by using hybrid press mechanism described herein.
L.Canan DÃ¼lger (Tokuz) received her BE degree in Mechanical Engineering from Middle East Technical University (METU), Turkey in 1986, MS in Mechanical Engineering METU, Turkey in 1988, and PhD degree in Mechanical Engineering from Liverpool John Moores University (formerly Liverpool Polytechnic) U.K in 1992. Between 1993-2018, She has been lecturer and researcher at Gaziantep University, Gaziantep-Turkey. She is lecturer and researcher at Ä°zmir University of Economics since Septemcer 2018, Ä°zmir-Turkey. She has supervised many M.Sc and Ph.D thesis in the area of machine theory and dynamics, automatic control, mechanical engineering, optimization. She has completed industrial projects. Her research interests include system dynamics and control, mechatronics, simulation methods, robotics and actuators, artificial intelligence in mechanical engineering, human machine interface.
Thin-film stretchable sensors are believed to have great applications on devices with curved surfaces. As one type of these sensors, electronic skins (e-skins) for pressure measurement have the potential to provide protection to the human body by feeding back the contact pressure. One of the applications is to monitor the contact pressure from a colonoscope to the colonic wall during a colonoscopy to prevent perforation and hemorrhaging. In this work, a new technique to make ultra-thin, highly stretchable electrodes on thin films has been developed. Then a three-layer tube-shaped tactile sensor with high conformability and stretchability has been successfully built. The pressure generated by various bending curvatures on a colonoscope was then investigated. Finally, a real-time pressure measurement with the whole sensing system on a fake colonoscope in a colon-simulator has been performed. The measured pressure was obtained and visualized on a computer screen. These experiments validated the applicability of the designed sensor and revealed the actual stress distribution on a tube-shaped e-skin sensor array in a colon-simulator. This research could be the starting point of the effort to upgrade the strategies of colonoscopy for safer operations and could provide new routines to optimize tactile sensor design for other medical applications.
Dr. Debao Zhou is a tenured professor at the University of Minnesota Duluth. He teaches in the areas of signal processing, kinematics, control, robotics, machine vision and pattern recognition. He received 2013 SCSE Young Teacher Award. Dr. Zhouâ€™s research interests include conformable artificial skin sensor and smart materials, vision system, artificial intelligence, modeling and simulation of surgical processes, robotics, system dynamics and control and quantum cascade laser system. He has published more than 80 papers. He is serving as the Editors or in editor boards for many journals. He has been invited to serve on many conference program chairs, session chairs and moderators. Dr. Zhou has been the reviewer for many books, journals and conferences. Dr. Zhou has been the founder and the council member of the International Society of Digital Medicine since Summer 2016.
Earthquakes can generate large amounts of solid and liquid waste that threaten public health, make reconstruction difficult and affect the environment. Disaster waste can be generated by the actual disaster and later during the response and recovery phases. It is for this reason that waste management becomes a crucial issue for post-disaster recovery. This work develops the analysis and evaluation of different mechanisms by three performance indices: mechanical advantage, stiffness and manipulability, with the purpose of discriminate these configurations and select the optimal solution to provide the required movement and force by the reinforced concrete crusher machine. The initial configurations where selected based on common characteristics; they all are one degree of freedom mechanisms (DoF=1), and their input link represents the movement of a crank. From the analysis, it is concluded that the six bar mechanism in which output link performs as an oscillator presents the best characteristics for the desired implementation; with the length of each link and the position of the ground stablished, the needed input torque behavior was determined in order to keep the required output force along the compression movement able to crush the reinforced concrete. In this context, in the past, has been investigated the feasibility of using recycled materials in concrete by focusing on the fracture mechanism of the specimens and was observed that replacing natural stone aggregate with up to 30% of RSA can be effectively used. Despite all of this, rather than concern of send rubble to recycling process, a big problem in Mexico is to motivate construction companies to use this material in new buildings.
Flor HernÃ¡ndez Padilla. is Professor in Mechanical and Industrial Department. School of Engineering, she is responsible of proyect: Disaster Waste Management after Earthquake 2017 in Mexico. She has assited to several oral presentations showing the results, and she published the first phase of the work in local journals.