Article
Engineering, Industrial
Unai Mutilba, Jose A. Yague-Fabra, Fernando Egana, Gorka Kortaberria, Luis Uriarte
Summary: Metrological traceability and micrometre-level measurement uncertainty are the main challenges in traceable coordinate measurement on large machine tools. Time- and space-varying thermal conditions have a major impact on the machine tool structure and contribute to uncertainty. This research proposes the use of integrated multilateration and machine tool controller information to minimize the influence of thermal conditions and characterize coordinate measurements. Experimental results demonstrate measurement uncertainty within an 18-micrometre range, ensuring required metrological traceability.
CIRP ANNALS-MANUFACTURING TECHNOLOGY
(2023)
Article
Automation & Control Systems
An Wan, Yixuan Wang, Guijun Xue, Ken Chen, Jing Xu
Summary: This article proposed a method to improve the kinematics calibration accuracy of machine tools by using laser tracker with angle selection and measurement weightings at a single station. The method is based on the anisotropic and in-homogeneous measurement property of the laser tracker, aiming to enhance orientation calibration accuracy and position calibration accuracy. Simulations and experiments were conducted to demonstrate the effectiveness of the proposed method in improving the accuracy of kinematics calibration.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2021)
Article
Engineering, Electrical & Electronic
Wenzheng Ding, Wenquan He, Hu Zhang, Yao Li
Summary: This paper investigates the assembly issue in large-scale CNC gear profile grinding machines and proposes an approach to evaluate the deviation of ground tooth surfaces considering assembly errors. The method is validated to effectively ensure the deviation of ground tooth surfaces.
Article
Engineering, Mechanical
Shijie Guo, Jun Yang, Guan Qiao, Xuesong Mei
Summary: This paper proposes a novel methodology for predicting the geometric accuracy induced by assembly deviation of a precision motion system and tracing the sensitivity of the assembly deviation with respect to geometric accuracy terms. The experiments were performed to verify the effectiveness of the proposed method.
MECHANISM AND MACHINE THEORY
(2022)
Article
Engineering, Manufacturing
Nuodi Huang, Yang Zhang, Limin Zhu, Soichi Ibaraki
Summary: This study proposes a machining test method to visually evaluate the thermal influence on machine tools without the need for measuring instruments. Experimental results demonstrate that the selected machine tool requires 150 minutes of sufficient warm-up time within the specified permissible deviation range.
JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
(2022)
Article
Ecology
Yuval Werber, Hadar Sextin, Yossi Yovel, Nir Sapir
Summary: Bat movement and behavior are not well-studied due to the difficulties in visual identification caused by their high-altitude and nocturnal activity. This study presents a bat classifier called BATScan, which uses radar data to identify and characterize bat movements. The classifier was constructed using data from 10 radar deployments over a 7-year period and achieved high accuracy and precision through ecological validations.
METHODS IN ECOLOGY AND EVOLUTION
(2023)
Article
Computer Science, Hardware & Architecture
Alberto Cascajo, David E. Singh, Jesus Carretero
Summary: This paper introduces LIMITLESS, a high-performance computing framework that offers new strategies for cluster monitoring. By integrating with other HPC runtimes and combining platform and application monitoring, LIMITLESS provides a comprehensive system view. The paper also describes novel components of the architecture, such as a scalable approach using in-transit processing and performance prediction, as well as a methodology for improving application scheduling through machine learning classifiers and application profiling.
MICROPROCESSORS AND MICROSYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Tianjian Li, Guobin Xi, Han Wang, Wa Tang, Zhongxi Shao, Xizhi Sun
Summary: This paper investigates the thermal properties of a large-scale 5-axis laser processing machine tool in a vacuum environment. The thermal contact resistance between parts is identified through parametric simulation and experiment, and the whole machine's temperature field is obtained using a fluid-thermal coupling model and verified through experiment. The study provides technical and data references for researching the thermal stability of machine tools in processing.
Article
Optics
Carlo M. Valensise, Ivana Grecco, Davide Perangeli, Laudio Conti
Summary: This study presents an optical processor with a capacity exceeding any previous implementation, enabling large-scale text encoding and classification. It offers a solution to scale up light-driven computing and opens the route to photonic natural language processing.
PHOTONICS RESEARCH
(2022)
Article
Engineering, Multidisciplinary
T. I. Zohdi
Summary: In many industrialized regions, large-scale photovoltaic systems have become an important part of the energy portfolio. The integration of solar-thermal systems can serve as a green bridge energy source to meet energy demands during peak periods. This study develops a digital-twin model to optimize the flow of solar power through a complex solar-thermal storage system, using machine learning and deep learning algorithms for rapid testing and simulation.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2023)
Article
Energy & Fuels
A. Karrech
Summary: The vanadium redox flow battery (VRFB) is a promising technology for large-scale energy storage due to its longevity and capacity. Thorough understanding of its all-climate properties is essential for widespread application. This study focuses on the effect of temperature on VRFB performance.
Article
Chemistry, Analytical
Tomasz Mazur, Lenka Cepova, Tomasz Szymanski, Miroslaw Rucki
Summary: The paper presents the investigation results on the direction-dependent accuracy of point identification in CMM contact probe measurements. The experiments show a strong correlation between displacement and declination angle, as well as an impact of directional surface texture with different roughness on positioning accuracy.
Article
Engineering, Multidisciplinary
Wenxu Luo, Cijun Yu, Qing Wang, Anan Zhao, Yinglin Ke
Summary: Temperature-variation-induced error compensation is crucial in large-scale metrology. This paper proposes a novel method for analytical thermal deformation compensation, which reduces the thermal influence on the coordinate transformation process by using spatial discretization modeling and Ordinary Kriging interpolation.
MEASUREMENT SCIENCE AND TECHNOLOGY
(2023)
Article
Automation & Control Systems
Lin Tang, Yaze Zheng, Chengjin Shi, Lifeng Zhang, Zhao Wang
Summary: This study investigates two schemes of conductive shaft for electrochemical machining of special-shaped deep hole with large aspect ratio using ANSYS software. The thermoelectric coupling model is established to analyze the temperature field distribution and thermal deformation under different working conditions. The results show that the conductive shaft performs stably and meets the processing requirements, and the heat dissipation performance is optimized by providing air flow.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Computer Science, Information Systems
Yiyang Yang, Sucheng Deng, Juan Lu, Yuhong Li, Zhiguo Gong, Leong U. Hou, Zhifeng Hao
Summary: This paper proposes a framework called GraphLSHC to address the scalability issue faced by large-scale hypergraph spectral clustering. The framework expands the hypergraph into a general format, partitions vertices and hyperedges simultaneously to reduce computational complexity, and improves performance through hyperedge-based sampling techniques. Numerous experiments demonstrate the superiority of the proposed framework over existing algorithms.
INFORMATION SCIENCES
(2021)
Article
Automation & Control Systems
Adrian Rodriguez, Mikel Gonzalez, Octavio Pereira, L. Norberto Lopez de Lacalle, Mikel Esparta
Summary: This article presents a feasibility study on introducing automated robotic deburring into the precision machining process of aerospace engine components. By using visual inspection and various tools for automation, the operating time can be reduced.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Article
Materials Science, Multidisciplinary
Din Bandhu, E. Venugopal Goud, Jay J. Vora, Subhash Das, Kumar Abhishek, Ramendra Kumar Gupta, Ashish Thakur, Soni Kumari, K. Devaki Devi
Summary: This study performed butt welding experiments using the processes of resistance metal powder welding (RMD) and gas metal arc welding (GMAW), and conducted macroscopic and microscopic analysis of the welds. The results showed that RMD welding produced better weld quality, smaller heat-affected zone, and finer grain refinement.
JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE
(2023)
Article
Materials Science, Multidisciplinary
M. Aurrekoetxea, L. N. Lopez de Lacalle, O. Zelaieta, I Llanos
Summary: This study developed an uncertainty assessment procedure for the on-machine Layer Removal method and provided guidelines for data treatment. The main uncertainty source was found to be the on-machine probing measurements. Applying symmetry and data filtering reduced the uncertainty range.
EXPERIMENTAL MECHANICS
(2023)
Article
Green & Sustainable Science & Technology
Felipe Marin, Adriano Fagali de Souza, Alexandre Mikowski, Luis Henrique Guarnieri Fontanella, Paulo Soares, Luis Norberto Lopez de Lacalle
Summary: The hybrid manufacturing process of combining initial machining and posterior laser powder bed fusion (LPBF) can reduce costs and manufacturing time. This research investigates the properties of the melting interface zone (MIZ) in hybrid parts and assesses the influence of LPBF process energy density on the MIZ and mechanical properties. The results show high-quality interphase even with low energy density, and the costs and manufacturing time were reduced by about 50%.
INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING-GREEN TECHNOLOGY
(2023)
Article
Automation & Control Systems
Francisco Javier Amigo, Gorka Urbikain, Luis Norberto Lopez de Lacalle, Pablo Fernandez-Lucio, Octavio Pereira, Asier Fernandez-Valdivielso
Summary: Machining processes on heat-resistant superalloys, such as turbine cases, rings, or shafts, are challenging and time-consuming. The use of high-feed turning technique, specifically the PrimeTurning (TM) tool, has shown potential in reducing machine downtimes and improving surface roughness. However, a deeper understanding of the high-feed turning process is required to prevent tool failures and reject parts. Experimental tests on Inconel 718 alloy revealed that a cutting-edge angle of 30 degrees reduces the likelihood of notches and improves surface roughness, while increasing the cutting-edge angle without adjusting the feed rate may result in tool fractures due to chip overload.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Article
Automation & Control Systems
Jun Zha, Nagore Villarrazo, Gonzalo Martinez de Pisson, Yipeng Li, Huijie Zhang, Luis Norberto Lopez de Lacalle
Summary: This study proposes an evolutionary method to improve the machining accuracy of curved surfaces by including compensation for the machining error and making corrections after the manufacturing programming is fully developed. The experimental results show that this method effectively increases surface accuracy and reduces errors, demonstrating its potential to enhance the quality and productivity of manufacturing highly accurate curved surfaces.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Article
Engineering, Multidisciplinary
Benat Inigo, Ander Ibabe, Luis Norberto Lopez de Lacalle, Gorka Aguirre
Summary: This study proposes an artefact-based fast and automated solution for mapping volumetric errors in medium size 3-axis machine tools. It enables the calibration of a 1m3 workspace in less than 1 hour without prior knowledge of temperature variations. By performing continuous measurements for seven days and identifying a volumetric error variation model, this study estimates uncertainties of individual parameters and motion errors using residual errors and propagates them to the TCP through Monte Carlo simulations. The model is used to understand the changes in volumetric positioning error over time and its generation within the kinematic chain of the machine.
PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY
(2023)
Correction
Green & Sustainable Science & Technology
Felipe Marin, Adriano Fagali de Souza, Alexandre Mikowski, Luis Henrique Guarnieri Fontanella, Paulo Soares, Luis Norberto Lopez de Lacalle
INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING-GREEN TECHNOLOGY
(2023)
Article
Engineering, Multidisciplinary
F. J. Amigo, G. Urbikain, L. N. Lopez de Lacalle, O. Pereira, P. Fernandez-Lucio, A. Fernandez-Valdivielso
Summary: The hottest parts of aerospace components often require machining of heat-resistant materials. New high-feed machining strategies have been introduced to improve productivity rates, but tracking tool wear is crucial for timely replacement. High pressure cooling and cryogenic techniques are used to assist the machining of aggressive materials while reducing environmental impact. This study presents a prediction cutting model for high feed turning of Nimonic (c) C-263 superalloy, considering tool wear and the benefits of reducing side cutting edge angle. The wear prediction model shows good agreement with experimental results and reveals the significant increase in tool life achieved by reducing the side cutting edge angle.
Article
Chemistry, Analytical
Endika Tapia, Leonardo Sastoque-Pinilla, Unai Lopez-Novoa, Inigo Bediaga, Norberto Lopez de Lacalle
Summary: Industrial communication protocols are important for interconnecting systems and machines in industrial environments. In this study, we evaluated the performance and complexity of OPC-UA, Modbus, and Ethernet/IP protocols when used with machine tools. Our results show that Modbus has the best latency figures, and the complexity of communication varies depending on the protocol used.
Article
Chemistry, Physical
Nagore Villarrazo, Soraya Caneda, Octavio Pereira, Adrian Rodriguez, Luis Norberto Lopez de Lacalle
Summary: This research examines the feasibility of using cryogenic cooling combined with MQL lubrication, known as CryoMQL technology, as a cutting fluid in the industrial environment. The study aimed to determine whether the energy savings achieved by this technology compensate for the increased environmental impact. Milling tests on carbon steel AISI 1045 were conducted to analyze the tool life, cutting edge wear, and energy consumption of the two technologies. The results demonstrated that CryoMQL not only increased tool life but also improved productivity and allowed for a more environmentally friendly process.
Article
Materials Science, Multidisciplinary
Kiran Wakchaure, Rakesh Chaudhari, Ajaykumar Thakur, Kishan Fuse, Luis Norberto Lopez de Lacalle, Jay Vora
Summary: Submerged friction stir welding (SFSW) was used to weld 6 mm thick 6061Al-T6 alloy plates under different water temperatures. The results showed that submerged samples had finer grain size and higher microhardness, and defect-free joints were obtained. Moreover, water temperature had a significant effect on the welding results, with joints welded at 80 degrees C exhibiting the highest tensile strength and microhardness.
Article
Thermodynamics
Sakshum Khanna, Sagar Paneliya, Parth Prajapati, Rakesh Chaudhari, Jay Vora, Hussam Jouhara
Summary: This study demonstrates a modified synthesis route for fabricating n-hexacosane-impregnated graphene nanosheets (GrPCM) nanocomposite. The exfoliation of graphene sheets during the hydrothermal and sonication process increases the surface area for improved impregnation and interaction with n-hexacosane. The GrPCM nanocomposites exhibited enhanced thermal stability, higher thermal conductivity, and improved latent heat compared to pure PCM materials. The findings suggest that GrPCM3 is an excellent composite material for efficient heat transfer processes.
THERMAL SCIENCE AND ENGINEERING PROGRESS
(2023)
Article
Engineering, Manufacturing
Jay Vora, Yug Shah, Sakshum Khanna, Vivek K. Patel, Manoj Jagdale, Rakesh Chaudhari
Summary: This study identified current, pulse-off-duration (Toff), and pulse-on-duration (Ton) as vital input factors for the WEDM process of Ti6Al4V. Empirical models were generated and validated using ANOVA, showing a significant impact of these factors on material removal rate (MRR) and surface roughness (SR). Additionally, the use of expanded graphite (EG) nano-powder was found to improve the WEDM process, increasing MRR by 45.35% and reducing SR by 36.16%.
JOURNAL OF MANUFACTURING AND MATERIALS PROCESSING
(2023)
Article
Engineering, Mechanical
Inigo Aldekoa, Ander del Olmo, Leonardo Sastoque-Pinilla, Sara Sendino-Mouliet, Unai Lopez-Novoa, Luis Norberto Lopez de Lacalle
Summary: This paper presents a study on sensorless machine variable monitoring for tool wear monitoring in broaching in real production environments. The research establishes a correlation between the variables of a broaching machine's servomotors and the condition of the broaching tools. The authors propose an effective method for measuring broaching tool wear without external sensors, and provide a detailed explanation of the methodology for reproducibility. The results show high predictive accuracy, with a coefficient of determination surpassing 0.9, using machine learning models trained on data collected from trials on an electromechanical vertical broaching machine.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
