Titlebook: Enabling Industry 4.0 through Advances in Mechatronics; Selected Articles fr Ismail Mohd. Khairuddin,Muhammad Amirul Abdullah,A Conference

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Prediction of Abrasive Waterjet Machining of Sheet Metals Using Artificial Neural Network,e experimental design. A back-propagation algorithm used in the ANN model has successfully predicted the surface roughness with the mean squared error to be below 10%. This summarizes that ANN model can sufficiently estimate surface roughness in the abrasive waterjet machining of sheet metals with a reasonable error range.

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A Piecewise Affine System Modeling Approach of Thin McKibben Muscle Servo Actuator,.2 MPa input and 0% for 0.25 and 0.3 MPa inputs. The evidence from this study suggests that a piecewise affine system can be used to model a thin McKibben muscle servo actuator, which would facilitate future development of a novel switching controller.

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