Article
Chemistry, Physical
Issam Abu-Mahfouz, Amit Banerjee, Esfakur Rahman
Summary: This research aims to predict surface roughness during steel end milling by analyzing vibration signals and determine optimal cutting conditions through evolutionary optimization. The comparison of different evolutionary algorithms shows that differential evolution and its variant outperform particle swarm optimization and its variants, and both outperform the canonical genetic algorithm. The study also reveals significant differences in feature selection methods, while no difference in performance was found between the two binarization methods.
Article
Engineering, Aerospace
Ali Dinc, Ali Mamedov
Summary: This study investigates the effects of cutting parameters on surface quality and machining time during micro-milling of brittle glass components. The results show that lower depth of cut and feed rate result in less cracks on the machined surface, while an increase in cutting speed leads to better surface quality. Ultimately, having desired surface quality in shorter machining time reduces energy consumption and environmental impact of glass parts.
AIRCRAFT ENGINEERING AND AEROSPACE TECHNOLOGY
(2022)
Article
Engineering, Manufacturing
Zhiqiang Liang, Yuchao Du, Yue Ma, Zhipeng Su, Rui Chen, Hao Yuan, Tianfeng Zhou, Xibin Wang
Summary: In this study, the mechanism of milling-grinding combined machining of cemented carbide was analyzed, and a new PCD micro end mill structure was designed. By establishing a mathematical model, the fabrication of a new micro mill with a certain helix flute width was realized. The experimental results showed that the new micro mill had improved surface quality and wear resistance, making it suitable for high-quality and high-efficiency machining.
JOURNAL OF MANUFACTURING PROCESSES
(2022)
Article
Computer Science, Artificial Intelligence
J. Santhakumar, U. Mohammed Iqbal
Summary: This study investigates the effect of trochoidal loop spacing on surface roughness, temperature, and specific cutting energy during flat end milling operations, finding that the LMBPA model provides the most accurate predictions. The Genetic algorithm is able to optimize cutting parameters with minimal error percentages between experimental and predicted values. Various machining characteristics were observed on the machined surface.
JOURNAL OF INTELLIGENT MANUFACTURING
(2021)
Article
Multidisciplinary Sciences
De-Jun Cheng, Hong-Jie Quan, Su-Jin Kim, Sheng-Wen Zhang, Chun-Yan Zhang
Summary: In multi-axis ball end finish milling, the wear overlap distribution per tooth significantly affects surface quality by causing inconsistent wear overlap distribution. A proposed time-varying surface roughness model is able to accurately predict and improve surface roughness by considering the wear overlap distribution per tooth. The method embeds the wear overlap distribution per tooth through a theoretical model of surface roughness, which has been validated to forecast wear overlap and machined surface roughness effectively.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2021)
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
Zhongwei Chen, Xian Wu, Wenchang Ke, Jianyun Shen, Feng Jiang, Laifa Zhu, Congfu Fang
Summary: This study investigated the tool wear mechanisms and their impact on the machining process of titanium alloy prepared by SLM process. The experimental results showed irregular arc-shaped wear zones on the rake face, clearance face, and bottom face of the tool, resulting in a triangle-shaped wear zone on the bottom face. Adhesive wear, abrasive wear, microchipping behavior, and graphitization behavior were identified as the dominant wear mechanisms. The cutting force, especially the axial force, increased with the tool wear process. The maximum milling distance achieved was 11,400 mm, with a tool wear area of 10,120 μm² and a cutting resultant force of 20.4N. As the milling distance increased, the surface roughness fluctuation and material protrusion on the machined surface became more pronounced.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Article
Engineering, Multidisciplinary
Lukas C. Hoghoj, Erik A. Traff
Summary: This paper introduces a simple formulation for topology optimization problems ensuring manufacturability by machining. The method uses the advection-diffusion equation with Robin boundary conditions to filter the design variables, distinguishing itself from existing methods. Furthermore, it is easy to implement and suitable for unstructured meshes and distributed memory settings. The proposed approach allows for few to no continuation steps in any system parameters. Applications demonstrate topology optimization on unstructured meshes with up to 64 million elements and up to 29 milling tool directions.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2022)
Article
Chemistry, Analytical
Yongheng Dong, Shujuan Li, Qian Zhang, Pengyang Li, Zhen Jia, Yan Li
Summary: The study proposed a modeling method for the generation of micro surface topography of ball-end milling in the trochoidal milling mode, and experiments proved that this method can accurately predict micro surface topography, providing guidance for practical manufacturing. A comparison of micro surface topography between trochoidal milling and ordinary straight-linear milling was conducted, showing that the former was overall superior to the latter in resulting characteristics. The influences of cutting parameters of ball-end trochoidal milling on surface characteristics were analyzed based on the simulated micro surface topography data.
Article
Automation & Control Systems
Junye Li, Gongqiang Tian, Yanlu Yin, Guangfeng Shi, Jingran Zhang, Xinming Zhang
Summary: Higher standards have been set for the inner-surface finish of elbow-type parts in industrial production. This study analyzes the influence of inlet velocity, bend ratio, and bending angle on surface quality and establishes a surface quality control method for abrasive flow machining (AFM) elbows. The results show that raising the inlet velocity improves the machining effect, and the uniformity of overall machining is preferable for higher curvature radii. The numerical simulation and experimental findings agree and validate the accuracy and viability of AFM elbows.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Article
Automation & Control Systems
Shaoming Yao
Summary: Based on error modeling, this paper proved the optimal pocket machining sequences of a simply end supported pocketed beam using mathematic induction method. The results demonstrated the optimal sequences and the errors generated during machining, providing insights for future applications in pocketed plate/board machining and surfacing.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2021)
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
Automation & Control Systems
Yicong Du, Qinghua Song, Zhanqiang Liu
Summary: This article investigates the size effect phenomenon and surface topography formation mechanism of micro-end mills in micro milling processes, and presents a comprehensive method to predict micro milling force and surface roughness. Experimental results confirm the accuracy and efficiency of this method.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Automation & Control Systems
Tao Wang, Xiaoyu Wu, Guoqing Zhang, Bin Xu, Yinghua Chen, Shuangchen Ruan
Summary: Micro-milling is a flexible and promising fabrication process, with the study analyzing the influence of seven identified factors on frequency spectrum characteristics. Experimental validation was conducted to correlate the factors to the surface profile models. The research has potential applications in predicting and controlling the spatial content of machined surfaces.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2021)
Article
Engineering, Industrial
Faraz Tehranizadeh, Kaveh Rahimzadeh Berenji, Saltuk Yildiz, Erhan Budak
Summary: This study compares the effectiveness and performance of different cutting tools for suppressing chatter in milling thin-walled parts. Novel stability maps are generated to compare the performance of different cutting strategies in terms of productivity and surface finish quality. Experimental results demonstrate the superiority of crest-cut tools as a robust solution for overcoming chatter in thin-wall machining.
CIRP ANNALS-MANUFACTURING TECHNOLOGY
(2022)
Review
Automation & Control Systems
S. P. Leo Kumar
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2017)
Article
Computer Science, Interdisciplinary Applications
S. P. Leo Kumar
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
(2018)
Review
Engineering, Industrial
S. P. Leo Kumar
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2019)
Article
Computer Science, Interdisciplinary Applications
S. P. Leo Kumar, J. Jerald, S. Kumanan
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
(2015)
Article
Engineering, Industrial
S. P. Leo Kumar, J. Jerald, S. Kumanan
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2014)
Review
Engineering, Manufacturing
S. P. Leo Kumar, J. Jerald, S. Kumanan, R. Prabakaran
MATERIALS AND MANUFACTURING PROCESSES
(2014)
Article
Computer Science, Artificial Intelligence
S. P. Leo Kumar, J. Jerald, S. Kumanan, Nargundkar Aniket
NEURAL COMPUTING & APPLICATIONS
(2014)
Article
Engineering, Multidisciplinary
S. P. Leo Kumar
Article
Engineering, Mechanical
S. P. Leo Kumar, D. Avinash
JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING
(2019)
Review
Engineering, Manufacturing
S. P. Leo Kumar, D. Avinash
MATERIALS AND MANUFACTURING PROCESSES
(2020)
Article
Engineering, Mechanical
D. Avinash, S. P. Leo Kumar
JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY
(2020)
Article
Materials Science, Multidisciplinary
D. Avinash, S. P. Leo Kumar
Summary: This study investigated the effect of High-Speed Milling (HSM) on the machinability of Ti-6Al-7Nb alloy for biomedical applications. Experimental results showed that high v(c) values in HSM led to increased hardness and decreased Young's Modulus, enhancing the biocompatibility of the alloy.
MATERIALS TECHNOLOGY
(2022)
Article
Engineering, Manufacturing
S. P. Leo Kumar, D. Avinash
Summary: The study aimed to analyze the surface quality of TNZT alloy and its osseointegration characteristics, revealing that axial depth of cut and cutting velocity significantly affect surface quality. The research indicates that microparticle deposition and groove formation intensifies with higher axial depth of cut.
MATERIALS AND MANUFACTURING PROCESSES
(2021)
Article
Engineering, Manufacturing
S. P. Leo Kumar
Summary: In this study, the influence of end milling parameters on the surface integrity of Ti-3575 alloy was investigated. The results showed that better surface finish could be achieved with higher cutting speed and lower cutting depth. Surface defects were lower under high cutting speed conditions. High-speed milling reduced the Young's modulus and increased the hardness, enhancing the biocompatible behavior of the Ti-3575 alloy.
MATERIALS AND MANUFACTURING PROCESSES
(2022)
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.