Article
Multidisciplinary Sciences
P. W. Anggoro, B. Bawono, J. Jamari, M. Tauviqirrahman, A. P. Bayuseno
Summary: A machining strategy utilizing CNC milling was presented for fabricating custom orthotic insoles with high surface finish and wide fit tolerance. The study optimized the parameters of the CNC milling process using Taguchi-response surface method (TM-RSM) for EVA foam insoles with varying surface hardness and wide fit tolerance, demonstrating its superiority in providing better surface finish compared to other methods.
Article
Engineering, Manufacturing
Shukri Afazov, Lamin Ceesay, Owen Larkin, Luke Berglind, Willem Denmark, Erdem Ozturk
Summary: This paper introduces a methodology for precision manufacture of a nozzle using hybrid laser powder-bed fusion technology. By developing a new distortion predictive model and conducting micro-milling trials, the research achieved efficient manufacturing processes.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE
(2021)
Article
Engineering, Mechanical
Arifin Achmad, Yu-Ren Wu
Summary: This study proposes a novel method for accurately determining the position of inserts on a cutter and its application in screw rotor machining. By analyzing and simulating the cutting process, the inserts can be precisely installed and the deviation on the simulated profile can be controlled, leading to improved grinding performance.
MECHANISM AND MACHINE THEORY
(2022)
Article
Engineering, Electrical & Electronic
Jozef Peterka, Marcel Kuruc, Vitalii Kolesnyk, Ivan Dehtiarov, Jana Moravcikova, Tomas Vopat, Peter Pokorny, Frantisek Jurina, Vladimir Simna
Summary: This new work investigated the potential impact of spindle heating on the precision of flat surface machining using ultrasonic precision machining. The research found significant differences in interface depth and stability between heated and non-heated spindles.
Article
Computer Science, Interdisciplinary Applications
Qi Liu, Haitao Liu, Juliang Xiao, Wenjie Tian, Yue Ma, Bin Li
Summary: This paper presents an open-architecture CNC system and mirror milling technology for TriMule, a new-type 5-axis hybrid robot. The dual CPU CNC system enables human-computer interaction and motion control, while integration of singularity avoidance, feedforward control, and real-time error compensation ensures control quality. Furthermore, a collaborative machining strategy using two TriMule robots is proposed for controlling the wall thickness of large thin-walled structural parts. Experimental results validate the effectiveness of the developed CNC system and technologies, with a 41.67% reduction in wall thickness error using the collaborative machining strategy.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2023)
Article
Engineering, Civil
Abtin Baghdadi, Lukas Ledderose, Shaghayegh Ameri, Harald Kloft
Summary: Coinciding with new manufacturing methods, new structural elements should be developed that can easily be manufactured by new additive manufacturing techniques. Concrete Dry connections, with desirable connections and higher resistance, can accelerate the construction process. This study explores the possibilities of constructing dry concrete joints by robotic 3D-printing and CNC methods, and compares their performances with traditional monolithic elements.
ENGINEERING STRUCTURES
(2023)
Article
Computer Science, Artificial Intelligence
Sinan Melih Nigdeli, Melda Yucel, Gebrail Bekdas
Summary: In the optimum design of structures, the iterative optimization process may take a long time and needs to be redone if there are updates in the structural plan. Differences in local market prices and changes in dimensions and internal forces may render the proposed design no longer optimal. To bypass the optimization process, intelligence methods can be used to predict the optimum values. This study proposes a model for cost optimum results of reinforced concrete columns, using harmony search as a metaheuristic method and multi-layer perceptions as artificial neural networks in machine learning.
NEURAL COMPUTING & APPLICATIONS
(2023)
Article
Computer Science, Artificial Intelligence
Rohit Mishra, Bhagat Singh
Summary: This paper presents an efficient methodology for chatter detection using Spline-Based Local Mean Decomposition (SBLMD) to decompose the acquired sound signals. The selected decomposed components are then used to reconstruct the new chatter signal, which is rich in information. Additionally, two artificial neural network (ANN) models are established to predict the Cutting Index (CI) and Material Removal Rate (MRR) using three process-related variables. The optimal input parameters are obtained using the MOPSO algorithm.
Article
Chemistry, Physical
David Sommer, Dominik Pape, Cemal Esen, Ralf Hellmann
Summary: This study reports on the milling and tool wear characteristics of hybrid additive manufacturing. It is found that flank wear is the dominant wear characteristic, showing a typical S-shaped dependence over utilization period. The width of flank wear land is measured and correlated to the surface roughness of milled 3D-printed parts, revealing that a superior surface roughness below 3 μm is achievable for hybrid additive manufacturing with flank wear levels up to 100 μm. Furthermore, the milling process is improved by optimizing the finishing tool start position and the number of afore-built layers, resulting in an increased maximum millable angle for undercut surfaces of 3D-printed parts.
Article
Chemistry, Analytical
Cheng-Yu Peng, Ully Raihany, Shu-Wei Kuo, Yen-Zuo Chen
Summary: CNC machines are used in the manufacturing industry to quickly produce components for the engineering field. This study focuses on monitoring and analyzing the sound produced by CNC during the milling process, using different shapes and materials for experimentation. The research shows that the sound detection program designed can detect sounds with a significant level of sensitivity.
Article
Automation & Control Systems
Pawel Dunaj, Michal Dolata, Jan Tomaszewski, Pawel Majda
Summary: This paper investigates the impact of steel-polymer concrete material on the static stiffness of a vertical lathe, and finds that filling the body with polymer concrete can significantly enhance the static stiffness and damping of the lathe. Moreover, the stiffness of the tool head bearing has a more pronounced effect on the static stiffness of the machine tool.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Computer Science, Artificial Intelligence
Pawan Kumar Pathak, Anil Kumar Yadav, Anshuman Shastri
Summary: The study aims to improve the reliability and quality of milling process by using metaheuristic-based intelligent control for a nonlinear uncertain CNC machine. The position and velocity of the machine table and tool are controlled via the black widow optimization algorithm (BWOA) driven PID and PI controllers. The servo and regulatory performance issues are also tackled, and a comparative analysis of optimization techniques demonstrates the superiority of the proposed control scheme.
Article
Chemistry, Physical
Moses Olabhele Esangbedo, Johnson Kehinde Abifarin
Summary: This study uses statistical tools and grey relational analysis to optimize the surface roughness and cutting force of CNC machine settings for manufacturing hybrid composites. The research identifies the depth of cut as the most significant machine setting.
Article
Chemistry, Physical
Mohammad Sadegh Barkhordari, Danial Jahed Armaghani, Mohanad Muayad Sabri Sabri, Dmitrii Vladimirovich Ulrikh, Mahmood Ahmad
Summary: This study develops data-driven hybrid models that combine state-of-the-art population-based algorithms and artificial neural networks to accurately estimate the bond strength between fiber-reinforced polymer and concrete interfaces. After testing a large database of 969 experimental samples, the RUN-ANN algorithm is found to be the most accurate model for predicting bond strength. The study also uses the SHapley Additive Explanations approach to interpret the best model and analyze the influence of different features on the model's outcome.
Article
Automation & Control Systems
Chen Tao, Liu Gang, Li Rui, Lu Yujiang, Wang Guangyue
Summary: A circular-arc milling cutter (CAMC) with large-curvature cutting edge was proposed for machining titanium alloy, which can effectively reduce the main milling force, stabilize the milling process, wear slower, and produce better surface quality compared to the traditional ball-end milling cutter (BEMC).
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2021)