Subtractive manufacturing systems, specifically, computer numerical control machines, have revolutionized the manufacturing industry. computernumericalcontrol machining is the preferred method for producing finished...
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Subtractive manufacturing systems, specifically, computer numerical control machines, have revolutionized the manufacturing industry. computernumericalcontrol 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.
Carrying out an engineering process with the least cost and within the shortest time is the basic purpose in many fields of industry. In computernumericalcontrol (CNC) machining, performing a process by following a ...
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Carrying out an engineering process with the least cost and within the shortest time is the basic purpose in many fields of industry. In computernumericalcontrol (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.
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 ...
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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.
In contemporary production, the computer numerical control machine tool is an essential processing apparatus. However, its geometric errors can often impact processing accuracy and stability. Therefore, an innovative ...
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In contemporary production, the computer numerical control machine tool is an essential processing apparatus. However, its geometric errors can often impact processing accuracy and stability. Therefore, an innovative geometric error identification method for CNC machine tools is proposed, which uses the polarization information in the dual-frequency laser interferometer to improve the measurement accuracy. By optimizing the polarization state of the laser system, the ability to identify the geometric error of the machine tool is improved. The findings of this study indicated that the measurement accuracy, measurement range, ease of operation, reliability, cost and applicability of the dual-frequency laser interferometer-based geometric error identification method for computer numerical control machine tools were 0.91, 0.87, 0.93, 0.77, 0.94, 0.85 and 0.97, respectively, which were better than the comprehensive performance of other methods. The study's suggested method offers a solid foundation for raising the precision and machining quality of machine tools by effectively and precisely identifying the geometric faults of CNC tools. The study's findings also establish the groundwork for future widespread use of dual-frequency laser interferometers in the detection of geometric faults in computer numerical control machine tools by offering theoretical justification for real-world uses.
In engineering, cost minimization, especially in computernumericalcontrol (CNC) machining like pocket milling, is crucial. Existing tool path definition software often lacks optimization, particularly at critical st...
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In engineering, cost minimization, especially in computernumericalcontrol (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.
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...
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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.
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)...
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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.
The precision of high-speed CNC (computernumericalcontrol) 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,...
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ISBN:
(纸本)9783037856932
The precision of high-speed CNC (computernumericalcontrol) 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.
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 cu...
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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).
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