A novel machine tool concept: Robotic electrochemical machining

Cebi, Abdulkadir; Demirtas, Hasan; Aslan, Muhammed Turan; Yilmaz, Oğuzhan; Kanber, Bahattin; Kaleli, Alirıza

doi:10.1016/j.promfg.2021.07.031

Cited by 6 publications

(7 citation statements)

References 22 publications

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“…The schematic of the RECM setup to conduct the experiments is shown in Figure 1 and the detailed information can be found from the previous work. 27…”

Section: Methodsmentioning

confidence: 99%

“…The robot arm, thermal camera, industrial camera and pneumatic clamp are shown in Figure 2 and detailed by Cebi et al 27 in previous work. The cathode path is generated via RobotStudio software, and the robot arm is controlled.…”

Section: Methodsmentioning

confidence: 99%

“…The schematic of the RECM setup to conduct the experiments is shown in Figure 1 and the detailed information can be found from the previous work. 27 Voltage, current, electrolyte flowrate and machining area temperature are controlled by a programmable logic controller (PLC). The data from all parameters is monitored and adjusted with a PC-Interface by LabView software.…”

Section: Dataset Preparation and Experimental Setupmentioning

confidence: 99%

“…In addition, two different material is used in the experiments that the chemical compositions are shown in Table 1. The robot arm, thermal camera, industrial camera and pneumatic clamp are shown in Figure 2 and detailed by Cebi et al 27 in previous work. The cathode path is generated via RobotStudio software, and the robot arm is controlled.…”

Section: Dataset Preparation and Experimental Setupmentioning

confidence: 99%

“…Niu et al 26 reported a new machine tool called as electrochemical mill-grinding (ECMG) that combines electrochemical milling and electrochemical grinding (ECG), and also investigated the ECMG performance of the Inconel 718. Cebi et al 27 proposed a novel machine tool concept with a robot arm at ECM known as robotic electrochemical machining (RECM). Jiang et al 8 investigated the influence of the motion accuracy of the robot arm on machining quality MRR.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Implementation of robotic electrochemical machining in freeform surface machining with material removal rate prediction using different machine learning algorithms

Cebi,

Demirtas,

Kaleli

2023

Proceedings of the Institution of Mechanical Engineers, Part C:

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Robots are used as machine tools via some advanced properties such as versatility, adaptation and mobility with other control systems. These advantages can be the solution to overcome the encountered problems in electrochemical machining (ECM). In this manner, the usability of a new machining method that is Robotic electrochemical machining (RECM) in freeform surface machining is investigated. Firstly, ECM parameters and their effects on the material removal rate (MRR) is discussed and compared with the literature. Experimental results showed that MRR variation for RECM acts similar characteristics with conventional ECM processes. The increase in voltage, electrolyte conductivity and feed rate increase MRR. The highest effect on MRR for both materials is voltage, electrolyte conductivity, and feed rate, respectively. Secondly, three different machine learning models are designed as Gaussian Process Regression (GPR), regression tree and deep neural network (DNN) models and the relationships between their actual and predicted values are discussed. The performance of the DNN model is better than other models with a correlation of determination values equal for Inconel 718 and AISI 1040. Furthermore, the DNN model with four input parameters outperforms developed models such as GPR and DTR with optimized hyperparameters regarding the R2, MSE, RMSE, and MAE. The change in height in the Z-axis and the surface roughness of the machined surfaces are also measured. The results show that the decrease in the Z axis is homogeneous, that is, uniform machining occurs and also the surface roughness has improved. Therefore, RECM can be a solution to machine free-form surfaces for different materials with high predictability.

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“…The schematic of the RECM setup to conduct the experiments is shown in Figure 1 and the detailed information can be found from the previous work. 27…”

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Dataset Preparation and Experimental Setupmentioning

confidence: 99%

Section: Dataset Preparation and Experimental Setupmentioning

confidence: 99%