Abstract:
Industrial enterprises are more and more driven to tap the potentials of energy efficiency in existing and future production sites. The challenge is to identify cost-efficient investments for lowering the energy demand while maintaining or improving the performance of the production system. General recommendations for the implementation of specific energy efficiency measures need a dedicated analysis of the use case of a production machine, such as a machine tool. Still users intend to find appropriate measures enhancing the energy efficiency of their production machines, while increasing the profitability simultaneously. This paper provides an approach to integrate energy system planning into the factory planning process.

Professional career:
Martin Beck studied Industrial Engineering at the TU Darmstadt. Since graduating in 2010 he has been working as a research assistant at the PTW Institute in the group of sustainable production where he became the team leader in 2014. The main research field during this time were efficient and linked energy systems of production sites.
He worked on several national and international research projects related to energy efficiency in different topics. As the responsible person on the part of PTW he coordinated beyond other activities the research project “ETA-Fabrik” (Budget 15Mio. €, 35 Industrial Partners).
Since 2018 he works as CEO and Co-Founder for ETA-Solutions GmbH, providing services as an Engineering Partner for energy efficient system solutions for the industry.

Abstract:
High-Resolution Surface Texture Measurements Using A Collaborative Pick-And-Place Robot

The ongoing trend of robotics, automation, quality control and its combination are leading to new possibilities in the field of metrology. The improvements, especially in the handling and accuracy of collaborative robotics, are enabling new applications for automated high-resolution optical 3D measurements. This is the basis for the implementation of a pick-and-place solution for automatic surface texture measurements by replacing a high precision x-y stage with a collaborative robot.
In this paper two different Focus-Variation setups are compared to evaluate the uncertainty using a certified standard and a real sample.

Professional career:
Sandra Bergmann studied Medical Information Technology with focus on Image Processing at  the University of Applied Sciences Carinthia, Austria. For her master thesis she worked at the Universidade de Paulista, Bauru, Brasil in the field of biometrics. She joined Bruker Alicona in 2007 and started her career in the software development of Industrial Machine Vision while finishing her second study of Health Care IT (University of Applied Sciences Carinthia, Austria). After that, she had the position of the  Application and Service Manager of Bruker Alicona for 10 years. Today, she is responsible for customer projects and product development as project manager.

Abstract:
Increasing Performance and Energy Efficency of a Machine Tool through Hydrostatic Linear Guideways with Micrometer Fluid Film Thickness

Ever increasing requirements to machine tool performance lead to a shift from regular roller bearing towards hydrostatic guideways. These have many advantageous properties, such as non-existent stick and slip, nearly no wear, while increasing dampening and stiffness. Compared to traditional guideways, hydrostatic have a constant energy demand, resulting from pump losses. The pump losses are composed out of the pressure and the flow rate of the fluid. The flowrate can be influenced with the third power via the fluid film thickness. For this, a novel micro gap design is proposed and tested. The static and dynamic stiffness and the power consumption are analysed and compared.

Professional career:
Prof. Ning He studied mechanical manufacturing at Nanjing University of Aeronautics and Astronautics (NUAA) China. He started his teacher career after graduated from NUAA in 1982. He received MSc. and Ph.D. degree in mechanical manufacturing at NUAA in 1987 and 1997 respectively. His dissertation “Fundamental and application of high efficiency cutting for difficulty-to-machining materials” was about high speed turning of nickel based alloy and hardened steel.
He has worked in NUAA since 1982 as assistant professor, lecturer (1987), associate professor (1993) and professor (1999). In 1989 and 1997, he carried out twice researches in Hong Kong Polytechnic University for one year each time. From 1999 to 2016, he was the deans of College of Mechanical and Electrical Engineering, College of Jincheng and College of International Education in NUAA successively.
His research interests include high speed machining technology, high performance machining technology, micro milling tool and micro machining, sustainable machining, machining distortion analysis and control technology for monolithic parts, etc. Since 21^st century, He has served as a principal investigator for more than 20 key research initiatives, sponsored by The National Natural Science Foundation of China (NSFC), Minister of Science and Technology of China (MOST), other government research funding and corporations. Prof. H. Schulz, Prof. E. Abele and Prof. He co-published   academic work of “The high speed Machining-Fundamentals and Applications” (in Chinese). He has published over 300 Journal and conference papers, granted more than 30 authorized patents for invention.
Prof. He is, amongst others, Vice Director of Society of advanced Machining, CMCTEA; Standing Committee Member and Deputy Director-general of China Production Engineering Institute, CMES and Member of Council of China Aero-Space Tooling Association

Abstract:
Energy efficiency beyond single-machine optimizations

While energy efficiency of a machine is a relevant topic when targeting lower energy cost or the reduction of the CO2 footprint, the larger potential to achieve these objectives is on the factory level. Considering the energy footprint of the entire factory with all its processes and interdependencies, however, requires capturing, managing, and analyzing a large set of heterogeneous data. This holds even more when the interplay with the energy market and its volatility is included, which, on the other hand, opens a new dimension for cost reduction. The talk will address software architectures to cope with this challenge and will illustrate these by showing some reference projects.

Professional career:
Dr. Harald Schöning is Vice President Research at Software AG, responsible for all publicly funded research projects at Software AG. He is member of the board of ITEA, NESSI (Networked European Software and Services Initiative), and the Big Data Value Association BDVA. Dr. Schöning is member of the steering board of the German national platform “Industry 4.0” as well as co-chair of the research advisory board of this platform. He holds a diploma and a PhD in Computer Science from the University of Kaiserslautern, Germany. For more than twenty-five years, he has been working for Software AG, in various roles including developer, project lead, and chief architect, and in various areas, from databases over semantic technologies, to SOA and business process management and beyond. He has served as expert and reviewer for the European Commission and German ministries in several contexts. He has authored and co-authored several text books and many technical papers. Dr. Schöning is inventor and co-inventor of more than 60 patents.

Professional career:
Hubertus von Zastrow is the managing partner of pro-micron GmbH. He is also a member of the advisory board of the Freiherren Waitz group of companies with the mechanical engineering companies Uniflex Hydraulik GmbH and Polyma Energiesysteme GmbH. Furthermore, he is a member of the advisory board of the mechanical engineering company Reichmann & Sohn GmbH.

Hubertus von Zastrow is an honorary member of the advisory board of Johanniter Unfallhilfe Augsburg

From 1992 to 2001 he held various management positions at Daimler Chrysler in Germany and abroad.