Article
Engineering, Mechanical
Niccolo Grossi, Lorenzo Morelli, Antonio Scippa, Gianni Campatelli
Summary: This paper presents a novel approach to accurately identify both radial and axial depth of cut in 2.5-axis peripheral milling operations using cutting force signals analysed in the frequency domain. The proposed method utilizes a normalized cutting force spectrum to estimate the depths of cut, without the need for cutting force coefficients, cutting force direction, or dedicated instrumentation. Numerical and experimental validation demonstrates that the method can accurately determine the depth of cut with a maximum absolute error less than 0.4 mm, making it a promising foundation for force-based cutting condition monitoring systems in peripheral milling.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Engineering, Industrial
Xiaohui Li, Yonglin Cai, Mingbo Zhao, Yixuan Song, Jiawei Mei
Summary: A mechanistic force model for longitudinal-torsional ultrasonic vibration-assisted 5 axis ball end milling considering the tool runout effect is proposed. The model takes into account the effects of tool runout and ultrasonic vibration on cutting edge motion and computes the uncut chip thickness and engaged cutting edge elements. The ultrasonic milling force model is established after determining the cutting force coefficients and tool runout parameters through calibration tests. The experimental results demonstrate the effectiveness of the proposed model.
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
(2023)
Article
Engineering, Manufacturing
Abhijit Bhattacharyya, John K. Schueller, Brian P. Mann, Tony L. Schmitz, Michael Gomez
Summary: This study developed a general method for propagating input parameter uncertainties through predictive models, estimating uncertainties associated with the data reduction equation using first-order Taylor series expansions, and calculating coverage factors for confidence intervals based on appropriate statistical distributions. The analysis applied to experimental data included force predictions with confidence intervals attached. Monte Carlo simulations provided different insights compared to classical uncertainty analysis, offering combined uncertainties directly without sensitivity calculations. This method of quoting uncertainty in force predictions allows users to evaluate the suitability of empirical force prediction models.
JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
(2021)
Article
Mathematics
Minh-Quang Tran, Mahmoud Elsisi, Viet Q. Vu, Fahad Albalawi, Sherif S. M. Ghoneim
Summary: This study aims to develop an accurate dynamic cutting force model for milling process and address the issue of machining instability. By using the equilibrium optimizer approach, the model achieves higher prediction accuracy. Furthermore, it can help investigate cutting stability and prevent chatter phenomenon by selecting optimal cutting parameters.
Article
Engineering, Mechanical
Hewu Sun, Bin Zou, Peng Chen, Chuanzhen Huang, Guoqiang Guo, Jikai Liu, Lei Li, Zhenyu Shi
Summary: Ceramic tool materials are ideal for machining superalloy materials due to their excellent heat resistance, chemical stability, and high temperature hardness. This study found that the use of lubricant and lubricant mixed with water can reduce milling force and cutting temperature, improve surface quality of the workpiece, and limit tool wear.
TRIBOLOGY INTERNATIONAL
(2022)
Article
Automation & Control Systems
Paolo Parenti, Francesco Puglielli, Massimo Goletti, Massimiliano Annoni, Michele Monno
Summary: Solid ceramic end mills can achieve higher material removal rates for machining heat resistant super alloys, but may have limited tool life and potential heat-related issues. Study showed cutting strategy and speed significantly affect cutting signals and workpiece integrity.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2021)
Article
Engineering, Manufacturing
Thomas Heitz, Daniel Bachrathy, Ning He, Ni Chen, Gabor Stepan
Summary: The cutting force is a critical parameter in machining, but it is often impacted by noise from the machining environment and data acquisition equipment. This study focuses on optimizing the fit of the cutting forces model in the frequency domain in milling. By minimizing the difference between the measured and predicted Fast Fourier Transformations of the force, an optimized fit is achieved. The results show that reducing the number of harmonics can improve the fit of cutting forces and potentially reduce computation time.
JOURNAL OF MANUFACTURING PROCESSES
(2023)
Article
Engineering, Multidisciplinary
G. Totis, M. Sortino
Summary: Measuring cutting force when milling slender/thin-walled parts is challenging due to structural vibrations that cause inertial disturbances. Signal filtering is the only option to extend the dynamic bandwidth. Non-parametric filters are preferred as they are more practical. A novel non-parametric filter called Superior Optimal Inverse Filter was developed, outperforming existing filters in compensating for dynamics.
Article
Engineering, Multidisciplinary
Katja Gross, Matthias Eifler, Katja Klauer, Katharina Huttenlochner, Benjamin Kirsch, Christiane Ziegler, Jan Christian Aurich, Joerg Seewig
Summary: This study investigates the surface topography of material measures using various evaluation approaches, showing that spindle speed plays a primary role in surface topography while feed per tooth has less influence, and differences between milling tools are observed in the tendency to form substructures.
ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH
(2021)
Article
Automation & Control Systems
Zhuoliang Zan, Kai Guo, Jie Sun, Xin Wei, Yecheng Tan, Bin Yang
Summary: This experimental study found that appropriate MQL parameters setting can significantly reduce cutting temperature, decrease cutting force, and lower acceleration during end-milling of Ti-6Al-4V. Factors such as oil flow rate, nozzle distance, and elevation angle have a significant impact on the cutting process.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2021)
Article
Engineering, Manufacturing
Lorenzo Morelli, Niccolo Grossi, Antonio Scippa, Gianni Campatelli
Summary: This paper presents a comprehensive classification of the shape of cutting forces causing surface form errors in peripheral end-milling, along with proposed analytical equations to obtain key points defining surface error shape under various cutting conditions and tool geometries. Experimental validation was conducted to prove the reliability and effectiveness of the proposed approach, showing potential for extending knowledge about surface errors in peripheral milling. The proposed formulations could also be utilized to simplify error prediction methods based on simulations or significantly reduce surface measuring time in quality control.
JOURNAL OF MANUFACTURING PROCESSES
(2021)
Article
Mechanics
Chao Li, Chunzheng Duan, Xiaodong Tian, Chao Wang
Summary: A mechanistic model considering the bottom edge cutting effect and the anisotropic characteristics of the material is proposed in this paper to accurately predict cutting forces. The model was validated through a series of milling experiments and can be used to predict the cutting force of various parts of the cutter and any feed direction.
COMPOSITE STRUCTURES
(2024)
Article
Engineering, Mechanical
G. Totis, M. Sortino
Summary: High-end piezoelectric dynamometers with a wide frequency bandwidth are necessary for characterizing cutting mechanics during high-speed milling and micromilling applications. Current filters have limitations, prompting the development of a novel non-parametric filter that considers input force direction and location for improved results.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Review
Engineering, Civil
M. Kulisz, I. Zagorski, A. Weremczuk, R. Rusinek, J. Korpysa
Summary: This study investigates the milling process of AZ31 magnesium alloy through dry milling experiments. It shows that milling with high cutting speed can reduce the values of cutting force components and transition into high-speed machining conditions range. Predictions of cutting force components using artificial neural networks, including amplitudes and root mean square, can be made based on the experimental results.
ARCHIVES OF CIVIL AND MECHANICAL ENGINEERING
(2021)
Article
Engineering, Electrical & Electronic
Peng Wang, Qingshun Bai, Kai Cheng, Liang Zhao, Hui Ding
Summary: This paper investigates the influence of tool runout error and dynamic deformation on micro-milling forces, and proposes corresponding models of instantaneous undeformed chip thickness. Experimental results show that the modeling of micro-milling forces considering the effects of machining dynamics has better prediction accuracy.
Article
Automation & Control Systems
David Serje, Jovanny Pacheco, Eduardo Diez
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2020)
Article
Chemistry, Analytical
Javier Diez-Gonzalez, Paula Verde, Ruben Ferrero-Guillen, Ruben Alvarez, Hilde Perez
Article
Chemistry, Multidisciplinary
Ruben Ferrero-Guillen, Javier Diez-Gonzalez, Paula Verde, Ruben Alvarez, Hilde Perez
APPLIED SCIENCES-BASEL
(2020)
Article
Forestry
Victor Tuninetti, Ricardo Alzugaray, Jorge Gonzalez, Marian Valenzuela, Andres Jaramillo, Eduardo Diez
Summary: Root cause and vibration analysis were applied to improve the efficiency of a veneer peeling lathe and reduce wood waste. The study found that operating speed and cutting tool conditions significantly affect vibration levels, while kurtosis characteristics vary with process speed and log size impacts process efficiency.
EUROPEAN JOURNAL OF WOOD AND WOOD PRODUCTS
(2021)
Article
Chemistry, Analytical
Paula Verde, Javier Diez-Gonzalez, Ruben Ferrero-Guillen, Alberto Martinez-Gutierrez, Hilde Perez
Summary: Local Positioning Systems (LPS) have gained popularity as a research field, particularly for high-accuracy applications in harsh environments such as autonomous navigation, indoor localization and low-level flights in restricted environments. Among LPS, those based on temporal measurements are of interest due to their balance between accuracy, robustness, availability and costs. This study focuses on the analysis of optimal sensor deployment for the Time Difference of Arrival (TDOA) architecture, introducing the MA-VND-Chains algorithm which outperforms previous proposals for the NLP in urban scenarios.
Article
Chemistry, Analytical
Alberto Martinez-Gutierrez, Javier Diez-Gonzalez, Ruben Ferrero-Guillen, Paula Verde, Ruben Alvarez, Hilde Perez
Summary: Industry 4.0 involves the digitalization of processes, with Smart Manufacturing focusing on logistics, visual inspection, process optimization, machine sensorization, real-time data processing, and virtualization of industrial activities. Digital Twin has attracted research interest for its cost-effective simulation of industrial plant behavior. This study proposes a novel DT design concept for AGV transportation and validates it through real experiments in two different scenarios.
Editorial Material
Computer Science, Artificial Intelligence
Hilde Perez, Lidia Sanchez-Gonzalez, Hector Quintian, Emilio Corchado
Article
Computer Science, Cybernetics
Ruben Ferrero-Guillen, Javier Diez-Gonzalez, Jose Manuel Alija, Alberto Martinez-Gutierrez, Paula Verde, Hilde Perez
Summary: This paper presents the use of a Genetic Algorithm to optimize the design of the wing and Horizontal-Tail-Plane (HTP) of an aircraft, achieving the optimal balance of lift and longitudinal trim.
CYBERNETICS AND SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Paula Verde, Javier Diez-Gonzalez, Ruben Alvarez, Hilde Perez
Summary: This article proposes a localization system for enhancing the position determination of AGVs in industrial plants. The system utilizes a wireless ad hoc network and ultra-wideband technology to address the challenges posed by the industrial environment. Additionally, a metaheuristic algorithm is used to optimize the sensor placement, achieving a localization error of up to six centimeters, which meets the accuracy requirements for high-demand applications in the industrial plant.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Engineering, Multidisciplinary
Eduardo Diez-Cifuentes, Ricardo Alzugaray-Franz, Arturo Padilla-Bernedo, Erardo Leal-Munoz, Matias Madaf-Poblete, Pablo Sanhueza-Carvajal, Jorge Gonzalez-Salazar
Summary: This study aimed to develop a workstation for investigating robotic sanding processes of wooden parts. The workstation incorporates sensors for online measurement of process variables and is controlled by a computer. The results show that grit size and rotational speed significantly influence the surface finishing, and equations are proposed to relate surface roughness to sanding torque and acoustic emission.
Article
Computer Science, Information Systems
Alberto Martinez-Gutierrez, Javier Diez-Gonzalez, Paula Verde, Ruben Ferrero-Guillen, Hilde Perez
Summary: Smart Manufacturing is characterized by digitization and massive communication of Cyber-Physical Systems under the Industrial Internet of Things paradigm. However, the lack of interoperability due to communication protocol heterogeneity hinders asset connectivity. The implementation of interoperability is crucial for decision-making in decentralized self-organized production hierarchies. To address this technological challenge, the authors propose a hyperconnected demonstrator, connecting heterogeneous assets in an inspection process automation case study.
Proceedings Paper
Computer Science, Artificial Intelligence
Paula Verde, Javier Diez-Gonzalez, Alberto Martinez-Gutierrez, Ruben Ferrero-Guillen, Ruben Alvarez, Hilde Perez
Summary: Local Positioning Systems (LPS) offer better performance and accuracy than traditional GNSS systems in harsh environments. The Node Location Problem (NLP) is a key challenge in designing LPS and is commonly addressed using metaheuristics. This paper proposes the use of the black widow optimization algorithm for the NLP, which improves the search adaptability and localization accuracy.
HYBRID ARTIFICIAL INTELLIGENT SYSTEMS, HAIS 2022
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Javier Diez-Gonzalez, Ruben Alvarez, Paula Verde, Ruben Ferrero-Guillen, Alberto Martinez-Gutierrez, Hilde Perez
Summary: Local Positioning Systems have attracted research interest as alternative to Global Navigation Satellite Systems due to their ability to reduce localization uncertainties. This paper introduces the Sensor Selection Problem to optimize error bounds in coverage region, showing a 16.7% reduction in localization uncertainties compared to traditional Node Location Problem optimizations.
16TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING MODELS IN INDUSTRIAL AND ENVIRONMENTAL APPLICATIONS (SOCO 2021)
(2022)
Article
Computer Science, Artificial Intelligence
M. L. Chaves, Lidia Sanchez-Gonzalez, E. Diez, Hilde Perez, A. Vizan
Article
Engineering, Multidisciplinary
Sicheng Jiao, Shixiang Wang, Minge Gao, Min Xu
Summary: This paper presents a non-contact method of thickness measurement for thin-walled rotary shell parts based on a chromatic confocal sensor. The method involves using a flip method to obtain surface profiles from both sides of the workpiece, measuring the decentration and tilt errors of the workpiece using a centering system, establishing a unified reference coordinate system, reconstructing the external and internal surface profiles, and calculating the thickness. Experimental results show that the method can accurately measure the thickness of a sapphire spherical shell workpiece and is consistent with measurements of other materials.
Article
Engineering, Multidisciplinary
Rajeev Kumar, Sajal Agarwal, Sarika Pal, Alka Verma, Yogendra Kumar Prajapati
Summary: This study evaluated the performance of a CaF2-Ag-MXene-based surface plasmon resonance (SPR) sensor at different wavelengths. The results showed that the sensor achieved the maximum sensitivity at a wavelength of 532 nm, and higher sensitivities were obtained at shorter wavelengths at the expense of detection accuracy.
Article
Engineering, Multidisciplinary
Attilio Di Nisio, Gregorio Andria, Francesco Adamo, Daniel Lotano, Filippo Attivissimo
Summary: Capacitive sensing is a widely used technique for a variety of applications, including avionics. However, current industry standard Capacitive Level Sensors (CLSs) used in helicopters perform poorly in terms of sensitivity and dynamic characteristics. In this study, novel geometries were explored and three prototypes were built and tested. Experimental validation showed that the new design featuring a helicoidal slit along the external electrode of the cylindrical probe improved sensitivity, response time, and linearity.
Article
Engineering, Multidisciplinary
Kai Yang, Huiqin Wang, Ke Wang, Fengchen Chen
Summary: This paper proposes an effective measurement method for dynamic compaction construction based on time series model, which enables real-time monitoring and measurement of anomalies and important construction parameters through simulating motion state transformation and running time estimation.
Article
Engineering, Multidisciplinary
Hui Fu, Qinghua Song, Jixiang Gong, Liping Jiang, Zhanqiang Liu, Qiang Luan, Hongsheng Wang
Summary: An automatic detection and pixel-level quantification model based on joint Mask R-CNN and TransUNet is developed to accurately evaluate microcrack damage on the grinding surfaces of engineering ceramics. The model is effectively trained on actual micrograph image dataset using a joint training strategy. The proposed model achieves reliable automatic detection and fine segmentation of microcracks, and a skeleton-based quantification model is also proposed to provide comprehensive and precise measurements of microcrack size.
Review
Engineering, Multidisciplinary
Sang Yeob Kim, Da Yun Kwon, Arum Jang, Young K. Ju, Jong-Sub Lee, Seungkwan Hong
Summary: This paper reviews the categorization and applications of UAV sensors in forensic engineering, with a focus on geotechnical, structural, and water infrastructure fields. It discusses the advantages and disadvantages of sensors with different wavelengths and addresses the challenges of current UAV technology and recommendations for further research in forensic engineering.
Article
Engineering, Multidisciplinary
Anton Nunez-Seoane, Joaquin Martinez-Sanchez, Erik Rua, Pedro Arias
Summary: This article compares the use of Mobile Laser Scanners (MLS) and Aerial Laser Scanners (ALS) for digitizing the road environment and detecting road slopes. The study found that ALS data and its corresponding algorithm achieved better detection and delimitation results compared to MLS. Measuring the road from a terrestrial perspective negatively impacted the detection process, while an aerial perspective allowed for scanning of the entire slope structure.
Article
Engineering, Multidisciplinary
Nur Luqman Saleh, Aduwati Sali, Raja Syamsul Azmir Raja Abdullah, Sharifah M. Syed Ahmad, Jiun Terng Liew, Fazirulhisyam Hashim, Fairuz Abdullah, Nur Emileen Abdul Rashid
Summary: This study introduces an enhanced signal processing scheme for detecting mouth-click signals used by blind individuals. By utilizing additional band-pass filtering and other steps, the detection accuracy is improved. Experimental results using artificial signal data showed a 100% success rate in detecting obstacles. The emerging concepts in this research are expected to benefit radar and sonar system applications.
Article
Engineering, Multidisciplinary
Jiqiang Tang, Shengjie Qiu, Lu Zhang, Jinji Sun, Xinxiu Zhou
Summary: This paper studies the magnetic noise level of a compact high-performance magnetically shielded room (MSR) under different operational conditions and establishes a quantitative model for magnetic noise calculation. Verification experiments show the effectiveness of the proposed method.
Review
Engineering, Multidisciplinary
Krzysztof Bartnik, Marcin Koba, Mateusz Smietana
Summary: The demand for miniaturized sensors in the biomedical industry is increasing, and optical fiber sensors (OFSs) are gaining popularity due to their small size, flexibility, and biocompatibility. This study reviews various OFS designs tested in vivo and identifies future perspectives and challenges for OFS technology development from a user perspective.
Article
Engineering, Multidisciplinary
Yue Wang, Lei Zhou, Zihao Li, Jun Wang, Xuangou Wu, Xiangjun Wang, Lei Hu
Summary: This paper presents a 3-D reconstruction method for dynamic stereo vision of metal surface based on line structured light, overcoming the limitation of the measurement range of static stereo vision. The proposed method uses joint calibration and global optimization to accurately reconstruct the 3-D coordinates of the line structured light fringe, improving the reconstruction accuracy.
Article
Engineering, Multidisciplinary
Jaafar Alsalaet
Summary: Order tracking analysis is an effective tool for machinery fault diagnosis and operational modal analysis. This study presents a new formulation for the data equation of the second-generation Vold-Kalman filter, using separated cosine and sine kernels to minimize error and provide smoother envelopes. The proposed method achieves high accuracy even with small weighting factors.
Article
Engineering, Multidisciplinary
Tonglei Cao, Kechen Song, Likun Xu, Hu Feng, Yunhui Yan, Jingbo Guo
Summary: This study constructs a high-resolution dataset for surface defects in ceramic tiles and addresses the scale and quantity differences in defect distribution. An improved approach is proposed by introducing a content-aware feature recombination method and a dynamic attention mechanism. Experimental results demonstrate the superior accuracy and efficiency of the proposed method.
Article
Engineering, Multidisciplinary
Qinghong Fu, Yunxi Lou, Jianghui Deng, Xin Qiu, Xianhua Chen
Summary: Measurement and quantitative characterization of aging-induced gradient properties is crucial for accurate analysis and design of asphalt pavement. This research proposes the composite specimen method to obtain asphalt binders at different depths within the mixture and uses dynamic shear rheometer tests to measure aging-induced gradient properties and reveal internal mechanisms. G* master curves are constructed to investigate gradient aging effects in a wide range. The study finds that the composite specimen method can effectively restore the boundary conditions and that it is feasible to study gradient aging characteristics within the asphalt mixture. The study also observes variations in G* and delta values and the depth range of gradient aging effects for different aging levels.
Article
Engineering, Multidisciplinary
Min Li, Kai Wei, Tianhe Xu, Yali Shi, Dixing Wang
Summary: Due to the limitations of ground monitoring stations in China for the BDS, the accuracy of BDS Medium Earth Orbit (MEO) satellite orbits can be influenced. To overcome this, low Earth orbit (LEO) satellites can be used as additional monitoring stations. In this study, data from two LEO satellites were collected to improve the precise orbit determination of the BDS. By comparing the results with GPS and BDS-2/3 solutions, it was found that including the LEO satellites significantly improved the accuracy of GPS and BDS-2/3 orbits.
