Infrastructure monitoring and quality diagnosis in CNC machining: A review

Ntemi, Myrsini; Paraschos, Spyridon; Karakostas, Anastasios; Gialampoukidis, Ilias; Vrochidis, Stefanos; Kompatsiaris, Ioannis

doi:10.1016/j.cirpj.2022.06.001

Cited by 26 publications

(10 citation statements)

References 156 publications

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“…Recent technological developments in machining incorporate intelligence into CNC equipment to increase the accuracy and productivity of real-time cutting operations while lowering waste and expense." [6] Schöner, Hans-Peter et al (2004) proposes that "In mechanical systems, adding actuators to boost actuation forces or actuation speed is frequently the first step toward automation. This action introduces external power into the system.…”

Section: Literature Review Related Workmentioning

confidence: 99%

Design and Implimentation of a Mechatronic System Namely Seat Check Module With Application to CNC System: A Review

Kumar¹

2022

IJSREM

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In this study an effective method has been developed to automate a process implemented in manufacturing industry "CNC system", it details the research and development of a mechatronic system to overcome one of the most difficult tasks in today's manufacturing industry which is to reduce number of rejected parts of NG parts. This problem mainly occurs when the metal workpiece is disturbed or not properly attached to the fixture and due to that small change in location, it gets improperly machined, which leads to part getting rejected. A gap inspection sensor is included in the design to confirm that the workpiece is properly seated on the fixture and all the components needed for module assembly are designed and tested on a VMC machine. As the gap check sensor uses the principle of back pressure sensing to monitor the gap or distance, the sensor is supplied with pneumatic pressure through a regulator to ensure stabilized input, and outlet of sensor is connected to the orifices on the fixture plate under clamping points, so when the job is placed properly there is no air leakage and the change in pressure will respond to sensor. The developed module gets linked to PLC and needed changes were also made in ladder logic program to incorporate the new module in machine running cycle. This developed architecture is flexible and can be used on many other machines and applications. Doing so automates the machine and prevents potential tool damage and material wastage. Keywords - Mechatronic System, Sensor, Automation, Back pressure Sensing, CNC Programming, PLC program (Ladder Logic), Precision manufacturing

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Section: Literature Review Related Workmentioning

confidence: 99%

Design and Implimentation of a Mechatronic System Namely Seat Check Module With Application to CNC System: A Review

Kumar¹

2022

IJSREM

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“…Researchers have developed algorithms and methodologies to generate tool paths that minimize vibrations, reduce tool deflection, and optimize chip evacuation, ultimately contributing to the enhancement of the product quality. An interesting review was published by Ntemi et al [ 6 ] in which all the studies on CNC machining were collected to find the non-directly inferred related gaps among them.…”

Section: Introductionmentioning

confidence: 99%

Novel Framework for Quality Control in Vibration Monitoring of CNC Machining

Apostolou,

Ntemi,

Paraschos

et al. 2024

Sensors

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Vibrations are a common issue in the machining and metal-cutting sector, in which the spindle vibration is primarily responsible for the poor surface quality of workpieces. The consequences range from the need to manually finish the metal surfaces, resulting in time-consuming and costly operations, to high scrap rates, with the corresponding waste of time and resources. The main problem of conventional solutions is that they address the suppression of machine vibrations separately from the quality control process. In this novel proposed framework, we combine advanced vibration-monitoring methods with the AI-driven prediction of the quality indicators to address this problem, increasing the quality, productivity, and efficiency of the process. The evaluation shows that the number of rejected parts, time devoted to reworking and manual finishing, and costs are reduced considerably. The framework adopts a generalized methodology to tackle the condition monitoring and quality control processes. This allows for a broader adaptation of the solutions in different CNC machines with unique setups and configurations, a challenge that other data-driven approaches in the literature have found difficult to overcome.

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“…Various other control schemes, such as;

H_{\infty}

control

μ

synthesis (Kim & Jeon, 2011), fuzzy logic and artificial neural network (ANN) (Aslan & Altintas, 2018b; Jee & Koren, 2004; Molina et al, 2014), observer‐based control (Choi et al, 1999), model‐based control (Bort et al, 2016; Sencer & Dumanli, 2017) and optimal linear quadratic regulator (Ang et al, 2005) are reported related to milling process of CNC machine. A detailed review work to enhance the machining process of CNC is demonstrated by Ntemi et al (2022). This work reviews three major aspects of quality diagnosis and infrastructure monitoring of CNC machining: chatter detection, tool wear prediction, and surface roughness.…”

Section: Introductionmentioning

confidence: 99%

BWOA based metaheuristic approach for uncertain nonlinear milling CNC machine system

2023

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The scientific advances in the machining process inculcate intelligence in computer numerical control (CNC), to enhance reliability and quality production. The study made in this article has been directed towards the metaheuristic-based intelligent control of a nonlinear uncertain CNC machine for milling purposes. The presence of cutting force and frictional type constraints, along with parametric uncertainties, degrade the production quality in milling operations. Moreover, enhanced performance of milling operation can be achieved via intelligent control of position and velocity of machine table and tool. In this work, the black widow optimization algorithm (BWOA) driven proportional-integral-derivative (PID) and PI controllers are employed for the position and the velocity of machine table and tool, respectively.Servo and regulatory are the two important control problems that are considered, analysed, and addressed in this work. The most challenging task of simultaneous tuning of PI and PID controllers is also addressed in this brief. Finally, a vivid comparative analysis of five state-of-the-art optimization techniques is also performed, and the obtained results demonstrate the superiority of the proposed control scheme. While dealing with the servo performance of x-axis, the proposed controller gives a 100% improvement in overshoot and 61.54% improvement in settling time, and for regulatory performance, it gives a 98.45% improvement in undershoot. Moreover, for z-axis control, the proposed controller gives a 100% improvement in overshoot and 61.54% improvement in settling time and for regulatory performance gives a 100% improvement in undershoot compared to published literature.

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Infrastructure monitoring and quality diagnosis in CNC machining: A review

Cited by 26 publications

References 156 publications

Design and Implimentation of a Mechatronic System Namely Seat Check Module With Application to CNC System: A Review

Design and Implimentation of a Mechatronic System Namely Seat Check Module With Application to CNC System: A Review

Novel Framework for Quality Control in Vibration Monitoring of CNC Machining

BWOA based metaheuristic approach for uncertain nonlinear milling CNC machine system

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