In today's production and manufacturing industries, the laser cutting method is the broadly used nonconventional, advanced, non-contact type machining process. It has various advantages in using to cut or engrave almost all kinds of materials. In this study the effect of laser engraving parameters on filter paper were quantified using a mathematical model. The main objective of this study was to assess the individual and interaction effect of the input parameters on the surface quality of engraved portion under the experimental conditions that were based on the experimental design. From the experiment it was found that the laser power has the significant effect on the surface roughness. The interaction effect of the speed and number of dots per inch created by nozzle of the laser engraving machine and the quadratic effect of speed also have a significant effect on the output surface quality. It is seen that the roughness increases with the increase in the laser power. Also, it was found that the combination of low laser power and mid engraving speed can results in the good surface quality. Similarly, combination of low speed and DPI results in the good surface quality. Accordingly, interaction effect of low power and high DPI results the better surface quality. The best optimal setting was at 8W of laser power, 205.895 mm/sec of engraving speed and 299.9 numbers of dots per inch, the roughness was found as 5.5693 µm with the percentage error of 0.53%.
CONTENTS
ACKNOWLEDGEMENT
ABSTRACT
CONTENTS
LIST OF TABLES’
LIST OF FIGURES
Chapter-1 INTRODUCTION
1.1 Surface roughness
1.1.1 Surface roughness measurement
1.1.2 Roughness parameters
1.2 Laser cutting process
1.3 Problem statement
1.4 Thesis objective
Chapter-2 LITERATURE REVIEW
Chapter-3 DESIGN OF EXPERIMENT
3.1 Experimental studies
3.2 Why design of experiment
3.3 Central composite design
3.4 Response surface methodology
3.4.1 RSM step-by-step application
Chapter-4 EXPERIMENTAL WORK
4.1 Selection of input factors and output response
4.2 Sample
4.3 Instruments used
4.4 Methodology
4.4.1 Problem formulation
4.4.2 Literature survey
4.4.3 Trial runs
4.4.4 Design matrix creation
4.4.5 Conduction of experiment
4.4.6 Data analysis and interpretation
4.4.7 Confirmation experiment
4.4.8 Conclusion
Chapter-5 Results and discussion
5.1 Development of mathematical model
5.1.1 Validation of model
5.2 Effect of process parameters on response
5.2.1 Contour plots
5.3 Optimization
5.4 Confirmation test
5.4.1 Percentage error
Chapter-6 Conclusion and future scope
6.1 Conclusions
6.2 Future scopes
Appendices
Appendix 1 Literature presented
Appendix 2 Design Expert Documentation
Appendix 3 Numerical Optimization algorithm
Chapter-7 REFERENCE
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Laden Sie Ihre eigenen Arbeiten hoch! Geld verdienen und iPhone X gewinnen. -
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Laden Sie Ihre eigenen Arbeiten hoch! Geld verdienen und iPhone X gewinnen. -
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Laden Sie Ihre eigenen Arbeiten hoch! Geld verdienen und iPhone X gewinnen. -
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Laden Sie Ihre eigenen Arbeiten hoch! Geld verdienen und iPhone X gewinnen. -
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Laden Sie Ihre eigenen Arbeiten hoch! Geld verdienen und iPhone X gewinnen. -
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Laden Sie Ihre eigenen Arbeiten hoch! Geld verdienen und iPhone X gewinnen. -
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Laden Sie Ihre eigenen Arbeiten hoch! Geld verdienen und iPhone X gewinnen. -
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Laden Sie Ihre eigenen Arbeiten hoch! Geld verdienen und iPhone X gewinnen. -
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Laden Sie Ihre eigenen Arbeiten hoch! Geld verdienen und iPhone X gewinnen. -
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Laden Sie Ihre eigenen Arbeiten hoch! Geld verdienen und iPhone X gewinnen.