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18th International Conference on Critical Infrastructure Protection

作者： Forihat, Yahya Taylor, Curtis Awad, Rima Asmar Ahmed, Irfan Virginia Commonwealth Univ Richmond VA 23284 USA Oak Ridge Natl Lab Oak Ridge TN USA

ISBN: (纸本)9783031818905;9783031818882;9783031818875

Subtractive manufacturing systems, specifically, computer numerical control machines, have revolutionized the manufacturing industry. computer numerical control machining is the preferred method for producing finished parts due to its efficiency, speed and suitability for high-volume production. Securing computer numerical control machines is a priority. Compromises or disruptions of these machines can result in significant downtime, loss of productivity and financial loss. This study examines the vulnerabilities and risks associated with computer numerical control machines, in particular, systems utilizing the LBP16 protocol for controller-machine communications. The study reveals that an adversary can execute cyber-physical attacks such as sabotage and denial of service. The potential security threats emphasize the importance of implementing robust security measures to mitigate the cyber risks to computer numerical control machines.

关键词： Subtractive Manufacturing computer numerical control machine Cyber-Physical Attacks Sabotage Denial of Service

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COMPARISON OF THE SUCCESS OF META-HEURISTIC ALGORITHMS IN TOOL PATH PLANNING OF computer numerical control machine

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SURFACE REVIEW AND LETTERS 2022年第9期29卷

作者： Caska, Serkan Gok, Kadir Gok, Arif Manisa Celal Bayar Univ Hasan Ferdi Turgutlu Technol Fac Dept Mech Engn TR-45300 Manisa Turkey Izmir Bakircay Univ Dept Biomed Engn Engn & Architecture Fac TR-35660 Izmir Turkey Kutahya Dumlupinar Univ Architecture Fac Dept Ind Design TR-43000 Kutahya Turkey

Carrying out an engineering process with the least cost and within the shortest time is the basic purpose in many fields of industry. In computer numerical control (CNC) machining, performing a process by following a certain order reduces cost and time of the process. In the literature, there are research works involving varying methods that aim to minimize the length of the CNC machine tool path. In this study, the trajectory that the CNC machine tool follows while drilling holes on a plate was discussed within the Travelling Salesman Problem (TSP). Genetic Algorithms (GA), Particle Swarm Optimization (PSO), and Grey Wolf Optimizer (GWO) methods were used to solve TSP. The case that the shortest tool path was obtained was determined by changing population size parameter in GA, PSO, and GWO methods. The results were presented in tables.

关键词： computer numerical control machine genetic algorithms particle swarm optimization grey wolf optimizer travelling salesman problem

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Application of PLC in computer numerical control machine

Application of PLC in Computer Numerical Control Machine

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2015 AASRI International Conference on Industrial Electronics and Applications(IEA 2015)

作者： Shuqin Xu Department of Transmission and Transformation Technology Northeast Dianli University

At present, in the industrial production, have a high request for the reliability of the control equipment, to be able to in the electromagnetic interference, power voltage fluctuation, mechanical vibration and so on under the harsh environment and reliable work, and has strong anti-jamming ability. PLC is designed for applications in industrial environments designed electronic digital computing system operations, and take a multi-level hardware and software anti-jamming measures in the design and manufacturing process. PLC is widely used in CNC machine and other industrial control, including the continuous control of each axis position, control of spindle positive inversion and spindle rotation on/off, tool changer, clamping and loosening, cooling, chip and other auxiliary action. Modern CNC machine adopts PLC instead of relay control to complete logic control, make the CNC machine tool structure is more compact, more feature-rich, greatly improve the response speed and reliability.

关键词： PLC computer numerical control machine CNC ladder diagram

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The Closed-loop Identification of Dynamic Parameters Based on Rigid Model for the Feeding System of Commercial numerical control machine

The Closed-loop Identification of Dynamic Parameters Based o...

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4th International Conference on Manufacturing Science and Engineering (ICMSE 2013)

作者： Chen Guangsheng Li Haolin Univ Shanghai Sci & Technol Sch Mech Engn Shanghai Peoples R China

ISBN: (纸本)9783037856932

The precision of high-speed CNC (computer numerical control) machine are greatly influenced by the dynamic characteristics of servo system. In this study, by investigating the motor of the servo system of CNC machine, an inertia and damping linear identification model is established using current as input signal and motor rotation velocity as output signal. Moreover, the excitation signal generation method based on G-code, concerning the closed-loop identification of servo system, is proposed. Furthermore, to verify the effectiveness of the closed-loop identification, an experiment is carried out on the feeding system of a commercial NC machine. The experiment results show that the proposed method performs well with effective stimulation, rapid convergence and accurate results.

关键词： The Closed-loop Identification computer numerical control machine Feeding System Parameters Identification

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Robust recurrent-neural-network sliding-mode control for the X-Y table in a CNC machine

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IEE PROCEEDINGS-control THEORY AND APPLICATIONS 2006年第1期153卷 111-123页

作者： Lin, FJ Shieh, PH Shen, PH Natl Dong Hwa Univ Dept Elect Engn Hualien 974 Taiwan

A robust recurrent-neural-network (RRNN) sliding-mode control is proposed for a biaxial motion mechanism to allow reference contour tracking. The biaxial motion mechanism is a X-Y table of a computer numerical control machine that is driven by two field-oriented control permanent-magnet synchronous motors. The single-axis motion dynamics are derived in terms of a lumped uncertainty that includes cross-coupled interference between the two-axes. A RRNN sliding-mode control system is proposed based on the derived motion dynamics to approximate the control obtained by using sliding-mode control and the motions at the X-axis and Y-axis are controlled separately. The motion tracking performance is significantly improved using the proposed control technique and robustness to parameter variations, external disturbances, cross-coupled interference and frictional torque can be obtained as well. Experimental results on circular, four-leaf, window and star reference contours are provided to show that the dynamic behaviour of the proposed control system is robust with regard to uncertainties.

关键词： motion control frictional torque field-oriented control permanent-magnet synchronous motors biaxial motion mechanism CNC machine permanent magnet motors computerised numerical control Neurocontrol variable structure systems reference contour tracking Multivariable control systems synchronous motors Spatial variables control Synchronous machines machine control single-axis motion dynamics neurocontrollers control of electric power systems recurrent neural nets robust control cross-coupled interference Stability in control theory robust recurrent-neural-network sliding-mode control computer numerical control machine

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Hot incremental forming of magnesium and aluminum alloy sheets by using direct heating system

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PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE 2013年第8期227卷 1099-1110页

作者： Le Van Sy Nguyen Thanh Nam PetroVietnam Univ Dept Fundamental Sci Hanoi 10000 Vietnam Natl Key Lab Digital Control & Syst Engn DCSELAB Ho Chi Minh City Vietnam

This article presents the use of an electrically assisted manufacturing method in the incremental sheet forming process to improve formability, surface quality, and geometric accuracy. This system utilizes a direct current source connected directly to a metal sheet through two electrodes at opposite edges to conduct heat based on Joule's effect. The approach produces a homogeneous heating zone in the whole metal sheet with very short ramping time. In this work, the heating system is designed to serve the investigation of formability, geometric accuracy, and surface roughness of the hot incremental forming technology. Three main results expected from this system are the influence of the processing parameters on the formability, the ability to improve accuracy and formability, and the reduction or elimination of springback effects in the deformation of high-strength aluminum alloy sheets (AA5055) and magnesium alloy sheets (AZ31).

关键词： computer numerical control machine incremental forming electrically assisted manufacturing magnesium alloy sheet surface roughness geometric accuracy

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Programming Art With Drawing machines

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computer 2024年第7期57卷 104-108页

作者： Baudry, Benoit Monperrus, Martin Univ Montreal Software Engn Montreal PQ H3T 1J4 Canada KTH Royal Inst Technol S-10044 Stockholm Sweden KTH Royal Inst Technol Software Technol S-10044 Stockholm Sweden

Algorithmic artists master programming to create art. Specialized libraries and hardware devices such as pen plotters support their practice.

关键词： Drawing machine Physical World Physicalism Use Of Randomization Tangible Objects Creativity Programming Language Filtering Effect 2 D Space computer numerical control computer numerical control machine Java Script

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Adaptive iterated stochastic metaheuristic to optimize holes drilling path in manufacturing industry: The Adaptive-Dhouib-Matrix-3 (A-DM3)

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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2023年 120卷

作者： Dhouib, Souhail Zouari, Alaeddine Univ Sfax Higher Inst Ind Management Sfax Technoplole Sfax OLID Lab PB 1164 Sfax 3021 Tunisia

Tool path optimization approaches are often used to reduce production time and cost, energy consumption, etc. on computer numerical control machines. Thus, several artificial intelligence algorithms based on Traveling Salesman Problem (TSP) have been implemented to optimize tool trajectory length in various production sectors mainly the holes drilling process. In this field, this article exhibits first a related works survey detailing the main used algorithms. Then, it suggests a novel approach for optimizing non-productive tool paths for drilling a hole series. The proposed approach entitled Adaptive-Dhouib-Matrix-3 (A-DM3) is based on combining the iterated stochastic Dhouib-Matrix-3 (DM3) with a tabu memory inspired by Tabu Search (TS) metaheuristic. To confirm its ability and stability to find the shortest drilling tool path, A-DM3 method is tested on six practical case studies of a rectangular matrix of holes. Further, it is compared to some commonly used algorithms such as Genetic Algorithm (GA), Ant Colony Optimization (ACO) and some of its derivates, modified Shuffled Frog Leaping Algorithm (mSFLA), Cuckoo Search (CS), and hybrid Cuckoo Search Genetic Algorithm (CS-GA). Computational results proved the superiority of the proposed A-DM3 compared to these well-known metaheuristics in literature, particularly in a medium and large number of holes. Hence, A-DM3 provided a new shortest path length record with an improvement exceeding 100% in some cases compared to competing algorithms.

关键词： computer numerical control machine Holes drilling path Artificial intelligence Optimization Metaheuristic Dhouib-Matrix-TSP2 (DM-TSP2) Dhouib-Matrix-3 (DM3)

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Adaptation of Symbolic Discrete control Synthesis for Energy-Efficient Multi-Pocket Milling

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PROCESSES 2024年第3期12卷

作者： Caska, Serkan Ozbaltan, Mete Manisa Celal Bayar Univ Hasan Ferdi Turgutlu Technol Fac Dept Mech Engn TR-45400 Manisa Turkiye Erzurum Tech Univ Fac Engn & Architecture Dept Comp Engn TR-25050 Erzurum Turkiye

In engineering, cost minimization, especially in computer numerical control (CNC) machining like pocket milling, is crucial. Existing tool path definition software often lacks optimization, particularly at critical starting and ending points. This study optimizes CNC machine tool paths for energy-efficient multi-pocket milling, utilizing the Symbolic Discrete control Synthesis (SDCS) method for formal correctness. In our work, the tool path generation is formulated as a traveling salesman problem. We introduce a modeling framework to adapt SDCS to multi-pocket-milling processes, aiming to enhance precision and efficiency for potential cost savings, including energy and time, in engineering applications. This study reports experimental and comparative results, where comparative evaluations were made using metaheuristic algorithms. Our proposed approach improves CNC machining processes for multi-pocket milling. We experimentally evaluate our control algorithms and demonstrate and validate our approach through case studies.

关键词： symbolic discrete controller synthesis computer numerical control machine multi-pocket milling energy efficiency optimization algorithms

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Evaluating CNC Milling Performance for Machining AISI 316 Stainless Steel with Carbide Cutting Tool Insert

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MATERIALS 2022年第22期15卷 8051页

作者： Equbal, Azhar Equbal, Md Asif Equbal, Md Israr Ravindrannair, Pranav Khan, Zahid A. Badruddin, Irfan Anjum Kamangar, Sarfaraz Tirth, Vineet Javed, Syed Kittur, M., I Jamia Millia Islamia Dept Mech Engn Fac Engn & Technol New Delhi 110025 India Cambridge Inst Technol Dept Mech Engn Ranchi 835213 Bihar India Aligarh Muslim Univ Univ Polytech Mech Engn Sect Aligarh 202001 Uttar Pradesh India MVSR Engn Coll Dept Automobile Engn Hyderabad 501510 India King Khalid Univ Coll Engn Mech Engn Dept Abha 61421 Saudi Arabia Univ Malaya Fac Engn Dept Mech Engn Kuala Lumpur 50603 Malaysia

The present study investigates the CNC milling performance of the machining of AISI 316 stainless steel using a carbide cutting tool insert. Three critical machining parameters, namely cutting speed (v), feed rate (f) and depth of cut (d), each at three levels, are chosen as input machining parameters. The face-centred central composite design (FCCCD) of the experiment is based on response surface methodology (RSM), and machining performances are measured in terms of material removal rate (MRR) and surface roughness (SR). Analysis of variance, response graphs, and three-dimensional surface plots are used to analyse experimental results. Multi-response optimization using the data envelopment analysis based ranking (DEAR) approach is used to find the ideal configuration of the machining parameters for milling AISI 316 SS. The variables v = 220 m/min, f = 0.20 mm/rev and d = 1.2 mm were obtained as the optimal machine parameter setting. Study reveals that MRR is affected dominantly by d followed by v. For SR, f is the dominating factor followed by d. SR is found to be almost unaffected by v. Finally, it is important to state that this work made an attempt to successfully machine AISI 316 SS with a carbide cutting tool insert, to investigate the effect of important machining parameters on MRR and SR and also to optimize the multiple output response using DEAR method.

关键词： computer numerical control machine material removal rate milling multi-response optimization surface roughness

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