Article
Engineering, Industrial
Christian Brecher, Robert Spierling, Marcel Fey, Stephan Neus
Summary: This paper presents a novel, cost-effective, machine integrated measurement method for small and medium sized machine tools to detect thermally induced errors. Based on the measured output of the system, 13 of 21 errors of a three-axis kinematic can be derived, and error-specific uncertainties are evaluated using the Monte Carlo method. Experimental results demonstrate the capability of the measurement method.
CIRP ANNALS-MANUFACTURING TECHNOLOGY
(2021)
Article
Energy & Fuels
V. Nicolas, G. Sdanghi, K. Mozet, S. Schaefer, G. Maranzana, A. Celzard, V. Fierro
Summary: This study presents the first thermal study and optimization of a thermally driven hydrogen compressor. A numerical model was developed to understand the behavior of the compressor under different thermal conditions, and the effect of convection on heat transfer was investigated. The results provide valuable insights for the design and optimization of thermally driven hydrogen compressors.
Article
Engineering, Manufacturing
Lingtao Weng, Weiguo Gao, Dawei Zhang, Tian Huang, Teng Liu, Wei Li, Yingjie Zheng, Kai Shi, Wenfen Chang
Summary: This paper proposes a novel analytical approach for thermal balancing design of machine tools, which analyzes and studies thermal responses by matching thermal power and deformation, providing important reference for improving the thermal-induced accuracy stability of machine tools.
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE
(2021)
Article
Engineering, Electrical & Electronic
Hang Xiao, Xiaolong Hu, Shaoqing Luo, Wei Li
Summary: Micro machine tools have advantages over traditional machine tools and are widely used in micro-cutting machining. In this study, an integral column and base structure for micro machining tools were proposed and optimized based on parameter analysis. Numerical simulation and experiments showed that the proposed structure improved the static and dynamic performance of the machine tool and enhanced the processing quality of the specimen.
Article
Engineering, Manufacturing
B. Beglarzadeh, J. R. R. Mayer, A. Archenti
Summary: This study discusses the impact of geometric accuracy and stiffness of machine tools on machine performance by analyzing the compliance of the machine under different loads. The use of kinematic and compliance models of the machine allows estimation of equivalent joint compliances and exploration of the influence of various compliance terms on loaded telescopic double ball bar readings.
CIRP JOURNAL OF MANUFACTURING SCIENCE AND TECHNOLOGY
(2021)
Article
Engineering, Manufacturing
Johannes Ellinger, Thomas Semm, Michael F. Zaeh
Summary: This paper presents a method for simplifying parameter identification by reducing the dimensionality of a dynamic machine tool model. By ranking the model's input parameters through global sensitivity analysis, the number of parameters to be identified can be drastically reduced with minimal impact on the model's accuracy.
JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
(2022)
Article
Energy & Fuels
Tannan Xiao, Yuqi Cao, Bingfeng Liang, Yang Wang, Jing Wang, Ying Chen
Summary: This paper presents a batch simulation tool of SOWFA based on Docker and Python, which addresses the challenges of complex installation and parameter settings of SOWFA, and has significant implications for its application.
Article
Engineering, Manufacturing
Ji Peng, Ming Yin, Li Cao, Luo-Feng Xie, Xian-Jun Wang, Guo-Fu Yin
Summary: An analytical modeling method was proposed to study the spindle angular thermal errors of a CNC machine tool. The model considered the effects of machine tool structure and position, and was able to predict the errors under different working conditions. The proposed model exhibited good generalization ability.
ADVANCES IN MANUFACTURING
(2023)
Review
Engineering, Manufacturing
Wei Gao, Soichi Ibaraki, M. Alkan Donmez, Daisuke Kono, J. R. R. Mayer, Yuan -Liu Chen, Karoly Szipka, Andreas Archenti, Jean-Marc Linares, Norikazu Suzuki
Summary: This article presents advanced technologies for the calibration of machine tools. It categorizes kinematic errors into intra-axis errors, inter-axis errors, and volumetric errors. It addresses the measurement methods, modeling theories, and compensation strategies for machine tool errors as the major technological elements of machine tool calibration. The criteria for selecting a combination of technological elements for machine tool calibration are provided based on accuracy, complexity, and cost. Recent applications of artificial intelligence and machine learning in machine tool calibration are introduced and future trends in machine tool calibration are discussed.
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE
(2023)
Article
Engineering, Manufacturing
Soichi Ibaraki, Rin Okumura
Summary: By using kinematic modeling, this paper investigates the thermal influence on the position and orientation errors of rotary axis average lines in five-axis machine tools. A new machining test method is proposed and an experimental case study demonstrates the observable changes in these errors due to thermal effects in finished test piece geometry.
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE
(2021)
Article
Materials Science, Multidisciplinary
Z. Liu, M. Jiang, T. Luo
Summary: This study demonstrates the use of transfer learning to improve machine learning models for fast screening of semiconductor candidates with desirable thermal conductivity (TC), utilizing a large low-fidelity dataset as a proxy task to improve models trained on high-fidelity but small data. The transfer learning models show improved accuracy and have potential implications for materials informatics.
MATERIALS TODAY PHYSICS
(2022)
Article
Engineering, Mechanical
Yangfan Li, Yingjie Zhang, Yanqing Zhao, Xiaojun Shi
Summary: This paper proposes a thermal-mechanical coupling calculation method for the deformation error of a motorized spindle. By calculating thermal load and force load, and analyzing their effects on the spindle, the deformation can be analyzed. The method is verified through finite element simulation and experiment.
ENGINEERING FAILURE ANALYSIS
(2021)
Article
Mathematics, Interdisciplinary Applications
D. H. Kim, T. I. Zohdi
Summary: Advancements in additive manufacturing have allowed researchers to create new materials surpassing individual properties, with selective laser sintering being a popular and fast technique for intricate structures.
COMPUTATIONAL MECHANICS
(2022)
Article
Construction & Building Technology
Rakshitha Vidhyashankar, Ravish Vinze, Srinarayana Nagarathinam, Vinay K. Natrajan
Summary: This paper proposes an effective method to model spatial non-uniformity in temperatures by customizing a building energy simulation tool. By a combination of analytical and numerical methods, the spatial variation in mean radiant temperature is estimated, validated through experiments, and demonstrated to be effective in achieving better uniformity in operative temperature.
JOURNAL OF BUILDING ENGINEERING
(2022)
Article
Engineering, Electrical & Electronic
Swami Nath Maurya, Kun-Ying Li, Win-Jet Luo, Shih-Ying Kao
Summary: Machine tool accuracy is affected by thermal errors, especially the coolant temperature. Controlling the coolant temperature can significantly improve thermal deformation prediction accuracy.
Article
Mechanics
Matti Schneider, Matthias Kabel, Heiko Andrae, Alexander Lenske, Marek Hauptmann, Jens-Peter Majschak, Lars Penter, Andre Hardtmann, Steffen Ihlenfeldt, Rolf Westerteiger, Erik Glatt, Andreas Wiegmann
INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES
(2016)
Article
Engineering, Civil
K. Grossmann, L. Penter, A. Hardtmann, J. Weber, H. Lohse
ARCHIVES OF CIVIL AND MECHANICAL ENGINEERING
(2012)
Article
Engineering, Mechanical
Dongqian Wang, Lars Penter, Albrecht Haenel, Yang Yang, Steffen Ihlenfeldt
Summary: This paper proposes a complete and practical model for micro-milling process, including dynamic tool deflection and a stability lobe diagram with runoutdependent effect. The study identifies the frequency response function at the tool point using a multi-sections discretization method combined with dynamic tests. The dynamic tool deflection is then developed based on force decomposition and the frequency response function. The interaction between feed per tooth, runout, and dynamic tool deflection is examined, resulting in the proposed stability lobe diagram.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Chemistry, Physical
Tomas Teren, Lars Penter, Christoph Peukert, Steffen Ihlenfeldt
Summary: This paper presents a finite-difference based parallel solver algorithm for efficient simulation of resistance spot welding (RSW). The Peaceman-Rachford scheme and the Thomas algorithm are combined to compute the electrical-thermal interdependencies of the RSW process within seconds. The electric-thermal model is verified through convergence analysis and parameter study.
Article
Engineering, Mechanical
Dongqian Wang, Lars Penter, Albrecht Hanel, Steffen Ihlenfeldt, Marian Wiercigroch
Summary: In this study, a rapid method combining experimental measurements with the receptance coupling method was proposed to obtain time-varying modal parameters of the workpiece. The stability lobe diagrams (SLDs) calculated using the modal parameters were validated through immersion milling experiments. Additionally, two modifications, including additional cylinder masses and passive support, were explored to suppress chatter, with the modification of passive support producing better results.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2022)
Article
Acoustics
Xin Zhou, Thomas Hutsch, Lars Penter, Holger Rudolph, Steffen Ihlenfeldt, Thomas Weissgaerber
Summary: This paper presents a finite element model with a local damping description to simulate the damping behavior of iron graphite (FeGr) composite in machine tool joints. The effectiveness of the proposed damping model is verified through comparisons between experimental measurements and simulation results. The study also finds that increasing the graphite content in the composite enhances the damping effect of the system.
JOURNAL OF VIBRATION AND CONTROL
(2022)
Article
Engineering, Multidisciplinary
N. Balytska, L. Penter, S. Ihlenfeldt, V. Kryzhanivskyy, P. Melnychuk, P. Moskvin
Summary: The multifractal analysis was used to study the formation of spatial microform area on the surface of steel C35 and aluminum alloy AA2024. Micro-images of the machined workpiece surface were used as input information for the analysis. Multifractal spectra and their main parameters were calculated for samples machined at different cutting conditions. The study found quantitative relationships between the parameters of multifractal spectra and the cutting conditions for the microform area on the surfaces of steel and aluminum alloy workpieces. The physical processes responsible for the observed multifractal spectra were discussed in relation to feed and depth of cut at the face milling. The computational technique developed in this study can be applied to analyze spatial fractal structures on the surface of other materials.
MULTISCALE AND MULTIDISCIPLINARY MODELING EXPERIMENTS AND DESIGN
(2023)
Proceedings Paper
Electrochemistry
Lars Klingel, Lars Penter, Philip Mayer, Steffen Ihlenfeldt, Alexander Verl
Summary: This paper presents a Digital Twin concept for predicting the state of a deep drawing press system and optimizing control parameters during production. By integrating all relevant subsystems into one system simulation and using a virtual commissioning simulation tool and finite element model, specific system parameter predictions for production situations can be provided, leading to a reduction in error rate in deep drawing.
INTERNATIONAL DEEP-DRAWING RESEARCH GROUP CONFERENCE (IDDRG 2022)
(2022)
Proceedings Paper
Electrochemistry
Patrick Link, Johannes Bodenstab, Lars Penter, Steffen Ihlenfeldt
Summary: This study evaluated the application of conditional Generative Adversarial Networks (cGAN) for predicting results of Finite Element (FE) deep drawing simulations. The results showed that the cGAN method achieved high prediction accuracy even with a small amount of data.
INTERNATIONAL DEEP-DRAWING RESEARCH GROUP CONFERENCE (IDDRG 2022)
(2022)
Article
Engineering, Manufacturing
Albrecht Haenel, Andre Seidel, Uwe Friess, Uwe Teicher, Hajo Wiemer, Dongqian Wang, Eric Wenkler, Lars Penter, Arvid Hellmich, Steffen Ihlenfeldt
Summary: This paper provides a brief overview of competition-driven digital transformation in the machining sector, focusing on the creation of a digital twin for machining processes. It discusses the models for machine inaccuracies, material removal, cutting force, process stability, and other factors, as well as the use of digital shadow and digital twin in this context. Furthermore, it introduces a time-stratified data layer platform for the resulting shadow-twin transformation loop.
JOURNAL OF MANUFACTURING AND MATERIALS PROCESSING
(2021)
Article
Engineering, Mechanical
S. Schroeder, S. Ihlenfeldt, L. Penter
Summary: Numerous measures are used today to control the thermal behavior of machine tools, with the help of thermal machine models for well-founded predictions. A procedure is presented in the paper to reduce the effort required for creating and simulating thermo-elastic models of structural components, by combining existing methods and new approaches. This includes using mathematical model order reduction methods to lower computing costs, and robust mesh algorithms to process slightly defective geometries.
MM SCIENCE JOURNAL
(2021)
Proceedings Paper
Engineering, Mechanical
Lars Penter, Patrick Link, Anke Stoll, Andre Albert, Steffen Ihlenfeldt
38TH INTERNATIONAL DEEP DRAWING RESEARCH GROUP ANNUAL CONFERENCE (IDDRG 2019)
(2019)
Article
Materials Science, Paper & Wood
Alexander Lenske, Tobias Mueller, Lars Penter, Matti Schneider, Marek Hauptmann, Jens-Peter Majschak
Proceedings Paper
Automation & Control Systems
Tobias Schulze, Juergen Weber, Knut Grossmann, Lars Penter, Christer Schenke
PROCEEDINGS OF THE ASME/BATH SYMPOSIUM ON FLUID POWER AND MOTION CONTROL, 2015
(2016)
