This paper presents the utilisation of Response Surface Methodology (RSM) as the prediction tool for the laser micro-machining process. Laser internal microchannels machined using pulsed Nd:YVO4 laser in polycarbonate were investigated. The experiments were carried out according to 33 factorial Design of Experiment (DoE). In this work the three input process set as control parameters were laser power, P; pulse repetition frequency, PRF; and sample translation speed, U. Measured responses were the channel width and the micro-machining operating cost per metre of produced microchannels. The responses were sufficiently predicted within the set micro-machining parameters limits. Two factorial interaction (2FI) and quadratic polynomial ...
For micro-channel fabrication using laser micro-machining processing, estimation techniques are norm...
In this thesis, the effects of process parameters on the resulting feature morphology and dimensions...
This paper focuses on understanding the influence of laser milling process parameters on the final g...
This paper presents the utilisation of Response Surface Methodology (RSM) as the prediction tool for...
This paper presents the utilisation of Response Surface Methodology (RSM) as the prediction tool for...
This paper presents the employment of Design of\ud Experiments (DoE) as the prediction tool for the ...
This paper presents the employment of Design of Experiments (DoE) as the prediction tool for the la...
This paper presents the employment of Design of Experiments (DoE) as the prediction tool for the la...
and prediction of dimensions and cost of laser micro-machining internal channel fabrication proces
Abstract: This paper presents the development of Artificial Neural Network (ANN) models for the pred...
This paper presents the development of Artificial Neural Network (ANN) models for the prediction of ...
This paper presents the development of Artificial Neural Network (ANN) models for the prediction of ...
This paper presents the development of Artificial Neural Network (ANN) models for the prediction of ...
For micro-channel fabrication using laser micro-machining processing, estimation techniques are norm...
For micro-channel fabrication using laser micro-machining processing, estimation techniques are norm...
For micro-channel fabrication using laser micro-machining processing, estimation techniques are norm...
In this thesis, the effects of process parameters on the resulting feature morphology and dimensions...
This paper focuses on understanding the influence of laser milling process parameters on the final g...
This paper presents the utilisation of Response Surface Methodology (RSM) as the prediction tool for...
This paper presents the utilisation of Response Surface Methodology (RSM) as the prediction tool for...
This paper presents the employment of Design of\ud Experiments (DoE) as the prediction tool for the ...
This paper presents the employment of Design of Experiments (DoE) as the prediction tool for the la...
This paper presents the employment of Design of Experiments (DoE) as the prediction tool for the la...
and prediction of dimensions and cost of laser micro-machining internal channel fabrication proces
Abstract: This paper presents the development of Artificial Neural Network (ANN) models for the pred...
This paper presents the development of Artificial Neural Network (ANN) models for the prediction of ...
This paper presents the development of Artificial Neural Network (ANN) models for the prediction of ...
This paper presents the development of Artificial Neural Network (ANN) models for the prediction of ...
For micro-channel fabrication using laser micro-machining processing, estimation techniques are norm...
For micro-channel fabrication using laser micro-machining processing, estimation techniques are norm...
For micro-channel fabrication using laser micro-machining processing, estimation techniques are norm...
In this thesis, the effects of process parameters on the resulting feature morphology and dimensions...
This paper focuses on understanding the influence of laser milling process parameters on the final g...