PROF. DR. YUSUF ALTINTAŞ
UBC

Prof. Dr. Yusuf ALTINTAŞ
Professor Altıntaş obtained his Bachelor from Istanbul Technical University (1975), M.Sc. (1980) from University of New Brunswick and Ph.D. (1987) from McMaster University in Canada. He worked as a machine tool manufacturing engineer in Turkey (1977-1978), process development engineer in Pratt & Whitney Canada in Montreal (1980-1981), and served as the principal engineer of Canadian Institute of Metalworking at McMaster University in Hamilton (1981-1982). He joined The University of British Columbia and founded Manufacturing Automation Laboratory in 1986. He conducts research on metal cutting, machine tool vibrations, control, sensors and actuators for machine tools, and virtual machining. He has published about 200 archival journal and 100 conference articles with over 27,000 citations with h index of 87 (Google Scholar), and a widely used “Manufacturing Automation: Principals of Metal Cutting Mechanics, Machine Tool Vibrations and CNC Design. 1st ed. 2000, 2nd ed.:2012 with Chinese (2003) and Turkish (2017) Editions. His research laboratory created advanced machining process simulation (CUTPRO), virtual part machining process simulation (MACHPRO) and open-modular 5 axis CNC system (Virtual CNC), which are used by over 250 companies and research centers in the field of machining and machine tools worldwide. Professor Altintas is the fellow of Royal Society of Canada, CIRP, ASME, SME, CAE, EC, Tokyo University, P&WC, AvH and ISNM. He received Pratt & Whitney Canada’s (P&WC) university partnership (1997), APEG BC’s Meritorious Achievement (2002), APEG BC R.H. McLachlan (2010), UBC Killam Teaching Prize of Engineering (2011), Gold Medal of Engineers Canada (2011), SME Albert M. Sergent Progress Award (2012), NSERC Synergy Award, ASME Blackall Machine Tool and Gage best journal paper award, the special scientific award of Republic of Turkey in Science and Engineering (2013), Georg Schlesinger Production Engineering Award (Berlin, 2016), and ASME William T. Ennor Manufacturing Technology Award (USA, 2016). He holds an Honorary Doctorate Degrees from Stuttgart University (2009) and Budapest University of Technology (2013), and holds Honorary Professor title from BEIHANG University in Beijing. He was the past president of CIRP (International Academy of Production Engineering Researchers) for term 2016 – 2017. He is designated as the Distinguished University Scholar at the University of British Columbia (2017). He currently directs NSERC CANRIMT Machining Research Network across Canada, and holds the NSERC – P&WC- Sandvik Coromant Industrial Research Chair Professorship to develop next generation Digital Machining Twin Technology. He is also founding president of MAL Manufacturing Automation Lab. Inc. (www.malinc.com) which develops virtual machining technology.

Developing mathematical models of metal cutting operations, machine tool vibrations and control
The aim of our research is to develop mathematical models of metal cutting operations, machine tool vibrations and control. The science based digital models allow the virtual design of machine tools; simulation, optimization and on-line monitoring of machining operations. The model predicts the cutting forces, torque and power consumed in machining parts by considering material properties, cutter geometry, structural flexibilities, and cutting conditions along the tool path. The structural dynamics of the machine tool can either be imported from Finite Element analysis if the machine tool is at the design stage, or from the experimental modal measurements if the machine is already built. The simulation system predicts chatter free cutting conditions within the work volume of the machine tool, or detects the presence of chatter vibrations along the tool path. The dynamics of servo drive control systems, and trajectory generation as a function of jerk, acceleration and velocity profiles of machine tools are considered in simulating the machine tool behavior. An in-house developed virtual and real time CNC system allows the design and analysis of any five axis machine tool controller. The virtual machining system simulates the cutting forces, torque, power, chip load and deflection errors along the tool path, and adjusts the federate along the tool path in CAM environment. The system is also used in on-line monitoring and control of machine tool and machining process by communicating with CNC in real time as a digital twin. The presentation will cover the overview of basic research we conducted at our laboratory and its application in industry.

PROFESSOR DR. IVICA VEŽA
University of Split

Prof. Dr. Ivica VEŽA
Professor Ivica Veža is the Chair of the Department of Industrial Engineering at the Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture of the University of Split, Croatia. He received his B.Sc. in 1975, M.Sc.in 1980 and Ph.D. in Mechanical Engineering, all from University of Zagreb. He has been a guest researcher for three years at the Fraunhofer institutes IPA in Stuttgart and IPK in Berlin and RWTH WZL in Aachen. He has been to Nagoya University, Technical University of Vienna and University of Malta as a guest professor. He has run several international projects: TEMPUS, CEEPUS, ERASMUS, two bilateral Slovenian-Croatian projects, several technology projects for BICRO, Croatian Institute of Technology and other. He has been the leader of 12 international and 11 domestic scientific projects and has participated in 46 projects on economy. He published 11 books, 14 chapters in scientific books and he was the author of 42 articles in journals and 172 conference papers. He has supervised more than 15 PhD and M.Sc. students. He is a member of the Croatian Academy of Technical Sciences since 2000, is a member European Academy of Industrial Management since 2009 and is the leader of Croatia's technological platform for the European Initiative since 2005. He was also a member of the Management Board of the Technology Centre in Split between 2000 and 2007. He also initiated and managed the introduction of Industrial Engineering study as a unique study between FESB and Faculty of Economics. From 2008 to 2013, professor led the project TEMPUS-2008-IT-JPCR 144959, a master program in Product Lifecycle Management with Sustainable Production, where a new course PLM was introduced in the graduate study of Industrial Engineering. In May 2011, at PTW in Darmstadt, he signed the agreement with the representatives of 10 European universities to start an initiative to build a Learning Factory, which aims a new paradigm for the education for engineers. He is the Vice President of Lean Management Initiative which was established in 2010 in Zagreb. Professor Veža’s research areas include lean production, plant layout, computer integrated manufacturing, modeling and simulation, production management, logistics.

Concept of Lean Learning Factory at the University of Split
In this research, a concept of the Triple helix model connected via the Learning Factory concept is presented. Learning Factory could be placed where University, Industry and Government meet each other, share needs and expectations, and work on collaborative projects. It could be a solution to a missing link in the Triple helix model. Lean Learning Factory at FESB, based on a didactical concept emphasizing experimental and problem-based learning using tools and methods from Lean management, have true potential to play an important role in the regional development of Split-Dalmatian County and its industrial enterprises. Solution proposal for the best balance between toys and real products consider design and production line development for product “Karet”. It is a traditional and original product from Croatia, so it will raise enthusiasm in the learning process in both students and industry employees. Two assembly lines will be developed, one traditionally equipped and one intelligent, networked, flexible, and fully improved by Lean tools. By deeper analysis of both assembly lines, hybrid assembly lines could be designed, to balance on one side assembly tact time according to customer demand and total cost of installation and running on the other side. Methods and tools adapted and implemented, in both design and analysis process for optimization of this hybrid assembly line would be scaled and adjusted for industry use as part of knowledge transfer from university to enterprises.

DR. TZOU-LIANG LUO (DEREK LUO)
Intelligent Machinery Technology Center, ITRI

Dr. Tzou-Liang LUO (Derek LUO)
Dr. Derek Luo is division director of Intelligent Manufacturing Technology Division at Intelligent Machinery Technology Center, ITRI. He is also a corporate Member of CIRP (The International Academy for Production Engineering) , Full Member of CSME (Chinese Society of Mechanical Engineers), visiting Researcher of UBC (University of British Columbia) and 4th Board of Director of Tan-Ya-San Industry Association. and He got his B.Sc., M.Sc. and Ph.D. in Mechanical Engineering all from Department of Mechanical Engineering of National Chung Hsing University, Taiwan R.O.C. Derek Luo was Engineer in Mechanical and Systems Research Laboratories in ITRI between 2012 and 2013, then he has promoted to Deputy Director of Intelligent Machine Tool Technology Center, Central Region Campus, ITRI on 2014. Later on 2015 He became Director of Intelligence Manufacturing Technology Division, Machine Tools Technology Center, ITRI and finally since 2016 he is the Director of Intelligence Manufacturing Technology Division, Intelligent Machinery Technology Center, ITRI. He is now working on Finite element studies in natural behaviors/impact fractures/transient responses of pure solid/porous medium structures and he is a High performance machine tool designer.

Intelligent Machinery Technology
The intelligent machinery technology center has been focusing on machine tool technology, which includes machine tool design, machining process optimization and intelligent software for machine tool operator as well as shop floor managers. These technologies have been implemented and transferred to industrial partners, however for most small and medium companies in Taiwan it is still not easy to figure out what are the necessary building blocks of an intelligent manufacturing shop floor. Moreover, building such an intelligent shop floor calls for large scale investment, therefore a pilot production site is needed to integrate and demonstrate full scenario of an intelligent shop floor. The pilot production site is a government supported project with the following objectives:

1. To construct a shop floor which consist of machines from Taiwan machine tool companies and controllers as well as software
2. To demonstrate mixed production use cases of real industrial parts from industrial sectors such as bicycle, automotive, aerospace and other machinery
3. To establish cloud computing infrastructure and collect process data from production use cases
4. To help other research institutes and universities with developing data-driven applications using cloud computing infrastructure and process data base.

PROF. DR. İSMAİL LAZOĞLU
KOÇ Üniversitesi İmalat ve Otomasiyon Araştırma Merkezi, İstanbul

PROF. DR. İSMAİL LAZOĞLU
İsmail Lazoğlu received his BS in Mechanical Engineering from Istanbul Technical University in 1989, M.S. and Ph.D. in Mechanical Engineering from Georgia Institute of Technology in 1992 and 1997 respectively. After his PhD, he worked as a postdoctoral researcher in the University of Illinois at Urbana-Champaing and in the University of British Columbia for 3 years. He has been working as a professor in the Department of Mechanical Engineering at Koç University since 2000. He is the founder and director of the Manufacturing and Automation Research Center (MARC) at Koc University. He has been teaching and researching in the fields of Advanced Manufacturing, Mechatronics/Automation/Robotics, and on Medical System Development and Artificial Organs. He has been closely collaborating with the national and international companies, medical doctors and surgeons in these research fields currently with about 30 PhD researchers in the MARC. He has more than 150 publications in the international journals and conferences, and several patents licensed to the companies. He received several awards including the Best Medical Industry R&D and Innovation Award of 2018 from Doktorclub-Medical Awards of Turkey for the development of the first implantable artificial heart pump of Turkey (iHeart VAD), the Gold Medal for the “Adjustable Bone Plate Patent” from the World Intellectual Property Organization (WIPO) and The Best Academic Patent Award from the International Federation of Inventor Association (IFIA) in 2016, Koc University College of Engineering Outstanding Faculty Award in 2014. He is a member of the European Society for Artificial Organs (ESAO) and a Fellow of the CIRP (The International Academy for Production Engineering). Further information is available at https://marc.ku.edu.tr/

Critical Role of Advanced Manufacturing on the Society and on Human Life in the age of Industry 4.0:
Sharing our Experience in the Manufacturing & Automation Research Center
In this talk, after briefly revisiting the development of humanity at large and summarizing the current state of the countries from the advanced manufacturing perspectives, the critical role of engineering and manufacturing will be discussed in the development of societies and human life. Potential opportunities and threats of Industry 4.0 for the society will be shortly discussed. Moreover, some of the research activities from the concept level to the high value added products developed at the Koc University Manufacturing and Automation Research Center will be presented.

PROF. DR. ERHAN BUDAK
SABANCI UNIVERSITY, ISTANBUL

Prof. Dr. Erhan BUDAK
Dr. Budak has been working on various aspects of machining processes and machine tools for 3 decades. After receiving B.Sc. (1987) and M.Sc. (1989) from the Middle East Technical University, Dr. Budak completed his Ph.D. (1994) at the University of British Columbia in Manufacturing Automation Lab. He then worked for Pratt & Whitney Canada as manufacturing development engineer until 2000 focusing on turbine engine manufacturing. He joined Sabanci University as a faculty member in 2000 and founded Manufacturing Research Lab (http://labs.sabanciuniv.edu/mrl/). In 2003, he was awarded the Taylor Medal by CIRP (www.cirp.net) for his work on high performance machining of turbine engine impellers and blisks. He was also the Mustafa Parlar “Science Award” (2018) based on his contributions to the machining research. He is the founder of a spin-off company, Maxima Manufacturing R&D, which develops and implements machining solutions for various industries. He has authored/co-authored more than 200 articles and papers in conference proceedings receiving around 10 000 citations with h-index of 45 (Google Scholar). He is a fellow of CIRP (currently Chair of Scientific Committee on Machines), associate/regional editor and editorial board member of several journals. His areas of interest include machining processes and machine tools, intelligent manufacturing, process modelling and simulation, high precision/ performance manufacturing and machine dynamics.

High Performance Machining through Process Modeling
Machining is a commonly used manufacturing process in many industries such as automotive, aerospace, energy, die and mold, medical etc. due to its flexibility and ability to produce high quality parts. Although there have been significant advances in machine tool, control and CNC, CAD/CAM and cutting tool technologies over the last couple of decades, the productivity in these processes is still limited due to the process related problems such as excessive cutting temperatures and forces, process instability and chatter vibrations, part/tool/machine deflections etc. Current CAM systems or CNCs do not provide solutions to these problems. Process models (or digital twins), on the other hand, can be used to predict, avoid or reduce these problems through determination of the appropriate process conditions. In this talk, a brief overview of machining process modeling fundamentals such as chip formation mechanics, shearing, friction etc. will be given, and their use in calculation of process forces will be presented with examples. As one of the main and common problems in machining, cutting dynamics and stability will be explained through process-structure interactions where effects of structural dynamics and process conditions will be presented. Commonly used chatter suppression methods will be demonstrated with examples. Implementation of the models for production process simulations will be discussed, and process optimization will be demonstrated through industrial application examples. Modeling and simulation of special machining operations such as simultaneous turning/milling and turn-milling will also so be presented. The presentation will be concluded with future aspects machining process modeling and simulation.