Article
Engineering, Mechanical
Si Li, Kunpeng Zhu
Summary: This work presents a novel two-dimensional tool wear estimation approach which achieves high estimation accuracy and computational efficiency for fast tool condition monitoring in micro milling. Experimental validation and comparative analysis show that the improved model has better prediction effect, indicating its potential for tool wear estimation in micro milling.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2021)
Article
Chemistry, Analytical
Yi Xia, Ning He, Liang Li, Guolong Zhao
Summary: The study found that wavelength has the greatest impact on the sharpness of PSPL cutting CVD-D. With PSPL cutting, sharp cutting edges and smooth surfaces of CVD-D can be achieved. Additionally, the fabrication and experiments of CVD-D micro milling tools were demonstrated.
Review
Engineering, Manufacturing
Ni Chen, Hao Nan Li, Jinming Wu, Zhenjun Li, Liang Li, Gongyu Liu, Ning He
Summary: This article provides a comprehensive overview of micro milling cutters, covering their uniqueness, material removal mechanisms, materials, structures, designs, fabrication techniques, and machining performances. It also outlines several possible future research directions to offer potential insights for the micro milling community and future researchers.
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE
(2021)
Article
Engineering, Manufacturing
Chang Liu, Chunya Wu, Xiguang Li, Bo Hou, Guangzhou Wang, Jiahao Wu, Ruijiang Sun, Mingjun Chen
Summary: In this paper, the sources and influencing factors of radial throw in micro-milling were investigated. Mathematical and finite element models were established to predict and validate the radial throw. A measurement method based on laser measurement system was proposed. It was found that radial throw is greatly affected by attachment errors, and high rotation speed can aggravate system instability.
JOURNAL OF MANUFACTURING PROCESSES
(2023)
Article
Chemistry, Physical
Caitlin Kennedy-Hoyland, Damon G. K. Aboud, Pierre Guermonprez, Anne-Marie Kietzig
Summary: The study found that square microstructures were able to fully recover even after multiple cycles, while triangular microstructures lost their structural integrity after multiple deformations. Porous nanostructures showed poor recovery over repeated deformations. The differences in recovery capabilities for different structures are attributed to the elongation of geometrical features during deformation.
APPLIED SURFACE SCIENCE
(2021)
Article
Engineering, Mechanical
Alwin Varghese, Vinay Kulkarni, Suhas S. Joshi
Summary: This study focuses on understanding the physics and mechanism of tool wear in micro-milling as a function of tool life, developing wear models for continuous abrasion and interrupted chipping, and predicting the total wear within 9.3% of the experimental values.
Article
Engineering, Mechanical
Xuewei Zhang, Tianbiao Yu, Pengfei Xu, Ji Zhao
Summary: An improved integrated estimation method based on LSTM network and PF algorithm is proposed in this study to predict tool wear values and progress, leading to the modification of cutting force model. Experimental validation shows that the proposed method enhances the availability and sustainability of micro cutting tools, with a 3.4% increase in prediction accuracy compared to not considering the influence of tool wear.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Chemistry, Analytical
Shuaishuai Gao, Xianyin Duan, Kunpeng Zhu, Yu Zhang
Summary: This paper proposes an analytic cutting force model considering tool wear and runout, and verifies its accuracy and effectiveness through a series of milling experiments. The results indicate that tool wear has a significant influence on cutting forces and coefficients, especially on axial cutting force and axial force coefficient.
Article
Energy & Fuels
Deniz Turkay, Konstantin Tsoi, Ergi Donercark, Rasit Turan, Selcuk Yerci
Summary: This study presents a new method for extracting contact resistivity using the four-point probe method, utilizing a spreading resistance model to significantly reduce calculation time. The resolution and reliability of the extracted pc critically depend on the geometrical and electrical parameters of the system. An alternative measurement procedure based on only one substrate is also proposed, and a free software for executing the calculations discussed is provided.
SOLAR ENERGY MATERIALS AND SOLAR CELLS
(2021)
Article
Engineering, Mechanical
Huihui Miao, Chenyu Wang, Changyou Li, Wenjun Song, Xiulu Zhang, Mengtao Xu
Summary: This research focuses on developing a dynamic model of the whole machine tool considering the milling process to predict vibration response and dynamic characteristics. The proposed model is evaluated by measuring and comparing frequency response functions, cutting forces, and vibration responses under different cutting conditions. The experimentally confirmed model is used for parameter analysis, revealing the influence of preload and cutting conditions on the dynamic characteristics of the machine tool during machining.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2023)
Article
Engineering, Electrical & Electronic
Deniz Turkay, Konstantin Tsoi, Ergi Donercark, Rasit Turan, Selcuk Yerci
Summary: Research on contact resistivity in multilayer structures for solar cells emphasizes the importance of minimizing resistivity for high device performance. Various spreading resistance models have been demonstrated for accurately calculating resistance measurements, with a new computationally efficient model proposed. Experimental applicability has been shown using test structures with specific material configurations.
IEEE TRANSACTIONS ON ELECTRON DEVICES
(2021)
Article
Engineering, Manufacturing
Hanyu Song, Benxin Wu
Summary: In this paper, a physics-based model is developed to study the burr removal mechanism in a laser-induced plasma deburring (LPD) process. It is found that under the conditions studied, the dominant burr removal mechanism is likely mechanical rather than thermal.
JOURNAL OF MANUFACTURING PROCESSES
(2022)
Article
Automation & Control Systems
Bing Fang, Mengna Cheng, Tianqi Gu, Dapeng Ye
Summary: The distribution of temperature field has a significant impact on structural performance and thermal error compensation. In this study, a comprehensive model considering the contact thermal resistance was established to analyze the temperature distribution of the spindle system. The results of the finite element analysis model showed that the established model can accurately reflect the temperature field distribution of the spindle.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Engineering, Mechanical
Pengfei Ding, Xianzhen Huang, Shangjie Li, Chengying Zhao, Xuewei Zhang
Summary: The development of micro-milling technology has enabled high-precision machining of complex and small-size parts in modern manufacturing. This study proposes a micro-milling mechanical model that considers the change of tool wear, tool runout, and chip separation status with cutting time, using the improved Gated Recurrent Unit with Multi-objective Dandelion Optimizer and mathematical modeling. The accuracy of the model is verified through experiments on Al6061. Bayesian updating method is used to invert the posterior distribution of process parameters, and the High-dimensional Model Representation with the Stochastic configuration network method efficiently realizes the reliability calculation of machining system parameters. The research evaluates the influence of cutting parameter changes on the extreme value of micro-milling force and provides analytical methods and theoretical guidance for safe processing.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Computer Science, Artificial Intelligence
Pengfei Ding, Xianzhen Huang, Chengying Zhao, Huizhen Liu, Xuewei Zhang
Summary: In modern manufacturing, micro-milling technology is crucial for producing high-precision and complex micro-size parts. Understanding the changing rule of time-varying cutting is significant for comprehending the micro-milling mechanism and improving machining efficiency. Additionally, identifying and updating tool wear in advance can enhance the accuracy and sustainability of micromachining. This study proposes a tool wear prediction framework for micro-milling using a temporal convolution network, bi-directional long short-term memory, and a multi-objective arithmetic optimization algorithm. A new integrated model for real-time micro-milling cutting force monitoring is then developed, considering factors such as tool deformation, tool runout, time-varying cutting coefficient, chip separation state, and tool wear estimation results. The accuracy of the proposed tool wear prediction and cutting force model is verified through micro-milling experiments with Al6061 workpiece material. The developed model provides theoretical guidance for statics and dynamics analysis in micro-milling.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Computer Science, Theory & Methods
Fernando Matia, Victor Jimenez, Biel P. Alvarado, Rodolfo Haber
Summary: This article revisits the fuzzy Kalman filter (FKF) and proposes a new method to represent uncertainty, avoiding implementation problems when propagating uncertainty and simplifying the computation steps of the Kalman filter. The FKF algorithm is reformulated with a new theoretical approach and validated tests are conducted in both simulation and a real mobile robot.
FUZZY SETS AND SYSTEMS
(2021)
Review
Automation & Control Systems
Alberto Villalonga, Gerardo Beruvides, Fernando Castano, Rodolfo E. Haber
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2020)
Review
Automation & Control Systems
Alberto Villalonga, Elisa Negri, Giacomo Biscardo, Fernando Castano, Rodolfo E. Haber, Luca Fumagalli, Marco Macchi
Summary: This paper proposes a new framework for production scheduling optimization in cyber-physical production systems, utilizing the aggregation of multiple digital twins and combining local and global digital twins for decision-making supported by a fuzzy inference system. The framework is capable of detecting changes in the manufacturing process and making appropriate decisions for re-scheduling.
ANNUAL REVIEWS IN CONTROL
(2021)
Article
Chemistry, Analytical
Sebastian Bombinski, Joanna Kossakowska, Miroslaw Nejman, Rodolfo E. Haber, Fernando Castano, Robert Fularski
Summary: This paper outlines the specific needs and requirements of the aerospace industry in metal machining, introducing a concept of edge-computing-based production supervision system tailored for this industry. The system aims to provide real-time diagnostics and data sharing among technologists, line bosses, machine tool operators, and quality control personnel, addressing the unique demands of aerospace manufacturing.
Article
Computer Science, Interdisciplinary Applications
Yarens J. Cruz, Marcelino Rivas, Ramon Quiza, Alberto Villalonga, Rodolfo E. Haber, Gerardo Beruvides
Summary: This paper introduces an image classification approach based on an ensemble of convolutional neural networks and its application in a real industrial welding case study. Through an efficient search process, the method outperforms other strategies in detecting misalignment of metal sheets with maintained computational cost.
COMPUTERS IN INDUSTRY
(2021)
Article
Chemistry, Physical
Muhammad Umar Farooq, Saqib Anwar, M. Saravana Kumar, Abdullah AlFaify, Muhammad Asad Ali, Raman Kumar, Rodolfo Haber
Summary: This study investigates the influence of flushing attributes on wire electric discharge machining in the aeronautical industry. The optimized flushing mechanism was found to significantly improve dimensional precision and surface quality of the machined components, while reducing geometrical errors.
Article
Green & Sustainable Science & Technology
Pankaj Goel, Sandhya Mehta, Raman Kumar, Fernando Castano
Summary: Green Human Resources Management (GHRM) is a management approach that combines traditional human resource practices with green and sustainable environmental practices. This study examines the challenges of adopting GHRM practices in educational institutes and identifies major challenges in the areas of strategy, policy, procedures, and rules. The study applies Interpretive Structural Modelling (ISM) and Analytic Hierarchy Process (AHP) techniques to analyze the interrelation among these challenges. The results highlight the importance of clear vision, top management cooperation, accountability, suitable course curricula, and transparency in ensuring successful adoption of GHRM practices in educational institutes.
Article
Chemistry, Physical
Kiran Mughal, Mohammad Pervez Mughal, Muhammad Umar Farooq, Muhammad Qaiser Saleem, Rodolfo Haber Guerra
Summary: A novel solution using helical milling and nano fluid as a lubricant is investigated to improve the machining quality of CFRP/Ti6Al4V stacks in the aeronautical industry. The analysis of variance reveals that eccentricity, spindle speed (Ti), and tangential feed are the most significant parameters affecting diametric error for Ti6Al4V material, while tangential feed, spindle speed, and eccentricity are the most significant parameters for CFRP material. Furthermore, increasing the concentration of MoS2 can reduce the surface roughness of the Ti material, and spindle speed and lubricant have a potential influence on the processing temperature.
Article
Automation & Control Systems
Fernando Castano, Yarens J. Cruz, Alberto Villalonga, Rodolfo E. Haber
Summary: Nowadays, there is a growing emphasis on sustainability in industrial cyberphysical systems while maintaining productivity. This article proposes a data-driven method to predict the remaining useful life and classify faults using condition monitoring. By combining these outputs, a maintenance stop can be scheduled near the failure, improving sustainability without affecting productivity. A fuzzy decision-making strategy is developed to extend the useful life of electromechanical devices. A case study using bearing faults dataset confirms the effectiveness of the proposed methodology in achieving a trade-off between productivity and sustainability.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Materials Science, Multidisciplinary
Muhammad Umar Farooq, Saqib Anwar, Rizwan Ullah, Rodolfo Haber Guerra
Summary: In this study, the influence of process variables on stainless steel grade SS 316L manufactured through L-PBF is explored by high-speed turning. Parametric optimization is carried out to achieve desired response characteristics, such as lowering machining cost, minimizing carbon emissions, decreasing specific energy, enhancing tool life, and reducing surface roughness. This research can serve as a fundamental guideline for machinists in the metal processing industry and a basis for comparative analysis of sustainable machining routes.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2023)
Article
Engineering, Electrical & Electronic
Wael M. Mohammed, Rodolfo E. Haber, Jose L. Martinez Lastra
Summary: This paper introduces the concept and implementation method of digital twin architecture, with a focus on the requirements of manufacturing processes. The approach is based on multi-layer and multi-level concepts, and uses multi-perspective view separation to provide a modular, scalable, reusable, interoperable, and composable approach for developing digital twins.
Proceedings Paper
Automation & Control Systems
A. Villalonga, E. Negri, L. Fumagalli, M. Macchi, F. Castano, R. Haber
Article
Computer Science, Information Systems
Daniel Rivas, Ramon Quiza, Marcelino Rivas, Rodolfo E. Haber
Article
Engineering, Mechanical
Xuanen Kan, Yanjun Lu, Fan Zhang, Weipeng Hu
Summary: A blade disk system is crucial for the energy conversion efficiency of turbomachinery, but differences between blades can result in localized vibration. This study develops an approximate symplectic method to simulate vibration localization in a mistuned bladed disk system and reveals the influences of initial positive pressure, contact angle, and surface roughness on the strength of vibration localization.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Zimeng Liu, Cheng Chang, Haodong Hu, Hui Ma, Kaigang Yuan, Xin Li, Xiaojian Zhao, Zhike Peng
Summary: Considering the calculation efficiency and accuracy of meshing characteristics of gear pair with tooth root crack fault, a parametric model of cracked spur gear is established by simplifying the crack propagation path. The LTCA method is used to calculate the time-varying meshing stiffness and transmission error, and the results are verified by finite element method. The study also proposes a crack area share index to measure the degree of crack fault and determines the application range of simplified crack propagation path.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Rongjian Sun, Conggan Ma, Nic Zhang, Chuyo Kaku, Yu Zhang, Qirui Hou
Summary: This paper proposes a novel forward calculation method (FCM) for calculating anisotropic material parameters (AMPs) of the motor stator assembly, considering structural discontinuities and composite material properties. The method is based on multi-scale theory and decouples the multi-scale equations to describe the equivalence and equivalence preconditions of AMPs of two scale models. The effectiveness of this method is verified by modal experiments.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Hao Zhang, Jiangcen Ke
Summary: This research introduces an intelligent scheduling system framework to optimize the ship lock schedule of the Three Gorges Hub. By analyzing navigational rules, operational characteristics, and existing problems, a mixed-integer nonlinear programming model is formulated with multiple objectives and constraints, and a hybrid intelligent algorithm is constructed for optimization.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Jingjing He, Xizhong Wu, Xuefei Guan
Summary: A sensitivity and reliability enhanced ultrasonic method has been developed in this study to monitor and predict stress loss in pre-stressed multi-layer structures. The method leverages the potential breathing effect of porous cushion materials in the structures to increase the sensitivity of the signal feature to stress loss. Experimental investigations show that the proposed method offers improved accuracy, reliability, and sensitivity to stress change.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Benyamin Hosseiny, Jalal Amini, Hossein Aghababaei
Summary: This paper presents a method for monitoring sub-second or sub-minute displacements using GBSAR signals, which employs spectral estimation to achieve multi-dimensional target detection. It improves the processing of MIMO radar data and enables high-resolution fast displacement monitoring from GBSAR signals.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Xianze Li, Hao Su, Ling Xiang, Qingtao Yao, Aijun Hu
Summary: This paper proposes a novel method for bearing fault identification, which can accurately identify faults with few samples under complex working conditions. The method is based on a Transformer meta-learning model, and the final result is determined by the weighted voting of multiple models.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Xiaomeng Li, Yi Wang, Guangyao Zhang, Baoping Tang, Yi Qin
Summary: Inspired by chaos fractal theory and slowly varying damage dynamics theory, this paper proposes a new health monitoring indicator for vibration signals of rotating machinery, which can effectively monitor the mechanical condition under both cyclo-stationary and variable operating conditions.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Hao Wang, Songye Zhu
Summary: This paper extends the latching mechanism to vibration control to improve energy dissipation efficiency. An innovative semi-active latched mass damper (LMD) is proposed, and different latching control strategies are tested and evaluated. The latching control can optimize the phase lag between control force and structural response, and provide an innovative solution to improve damper effectiveness and develop adaptive semi-active dampers.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Menghao Ping, Xinyu Jia, Costas Papadimitriou, Xu Han, Chao Jiang, Wang-Ji Yan
Summary: Identification of non-Gaussian processes is a challenging task in engineering problems. This article presents an improved orthogonal series expansion method to convert the identification of non-Gaussian processes into a finite number of non-Gaussian coefficients. The uncertainty of these coefficients is quantified using polynomial chaos expansion. The proposed method is applicable to both stationary and nonstationary non-Gaussian processes and has been validated through simulated data and real-world applications.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Lei Li, Wei Yang, Dongfa Li, Jianxin Han, Wenming Zhang
Summary: The frequency locking phenomenon induced by modal coupling can effectively overcome the dependence of peak frequency on driving strength in nonlinear resonant systems and improve the stability of peak frequency. This study proposes the double frequencies locking phenomenon in a three degrees of freedom (3-DOF) magnetic coupled resonant system driven by piezoelectricity. Experimental and theoretical investigations confirm the occurrence of first frequency locking and the subsequent switching to second frequency locking with the increase of driving force. Furthermore, a mass sensing scheme for double analytes is proposed based on the double frequencies locking phenomenon.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Kai Ma, Jingtao Du, Yang Liu, Ximing Chen
Summary: This study explores the feasibility of using nonlinear energy sinks (NES) as replacements for traditional linear tuned mass dampers (TMD) in practical engineering applications, specifically in diesel engine crankshafts. The results show that NES provides better vibration attenuation for the crankshaft compared to TMD under different operating conditions.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Wentao Xu, Li Cheng, Shuaihao Lei, Lei Yu, Weixuan Jiao
Summary: In this study, a high-precision hydraulic mechanical stand and a vertical mixed-flow pumping station device were used to conduct research on cavitation signals of mixed-flow pumps. By analyzing the water pressure pulsation signal, it was found that the power spectrum density method is more sensitive and capable of extracting characteristics compared to traditional time-frequency domain analysis. This has significant implications for the identification and prevention of cavitation in mixed-flow pump machinery.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Xiaodong Chen, Kang Tai, Huifeng Tan, Zhimin Xie
Summary: This paper addresses the issue of parasitic motion in microgripper jaws and its impact on clamping accuracy, and proposes a symmetrically stressed parallelogram mechanism as a solution. Through mechanical modeling and experimental validation, the effectiveness of this method is demonstrated.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Zhifeng Shi, Gang Zhang, Jing Liu, Xinbin Li, Yajun Xu, Changfeng Yan
Summary: This study provides useful guidance for early bearing fault detection and diagnosis by investigating the effects of crack inclination and propagation direction on the vibration characteristics of bearings.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
