Master Thesis Supervision by Eng.hany mohamed
ABSTRACT
Taguchi's parameter design is a systematic approach to optimize process performance, qua... more ABSTRACT
Taguchi's parameter design is a systematic approach to optimize process performance, quality and cost. Laser beam cutting (LBM) is a non-traditional machining process widely used for cutting, drilling, marking, welding, sintering,
and heat treatment. The objective of this study is to apply Taguchi optimization methodology to optimize Laser beam cutting parameters of Stainless steel (316L) to achieve
optimal Average Kerf Taper (Ta), Surface Roughness (Ra) and Heat affected zone (HAZ). A series of experiments are conducted using (LBM) to relate machining parameters to several quality responses. Analysis of variance
(ANOVA), Analysis of mean (ANOM), Orthogonal array (L27OA) and signal to noise ratio are employed to analyze the influence of process parameters. The machining parameters are machining on power (Watt), oxygen pressure (MPa),
pulse frequency (Hz) and cutting speed (cm/min). Another objective is to build mathematical models for average kerf taper and average surface roughness as function of significant process parameters using Response Surface Methodology (RSM).
Experimental results for both S/N ratio and mean response values show that power, oxygen pressure, and cutting speed are the most significant parameters that influence Kerf taper at confidence levels 99%, 95%, and 90% respectively.
On the other hand, power and oxygen pressure are the significant parameters that influence average surface roughness at confidence levels 99%95%, and 90% respectively, consequently both the power and pressure of oxygen are the criteria that affect the impact of the heat affected zone at confidence levels 99%, 95%, and 90% respectively. RSM models are developed for mean responses, S/N ratio, and standard deviation of responses. Optimization models are formulated as single objective problem subject to process constraints. Models are formulated based on
Analysis of Variance (ANOVA) via optimization toolbox MATLAB. Optimum solutions are compared with Taguchi Methodology results.
Further validation experiments are carried to verify developed models with success.
Papers by Eng.hany mohamed
Abstract – Laser beam cutting is one important nontraditional machining process. This paper optim... more Abstract – Laser beam cutting is one important nontraditional machining process. This paper optimizes the param-
eters of laser beam cutting parameters of stainless steel (316L) considering the effect of input parameters such as
power, oxygen pressure, frequency and cutting speed. Statistical design of experiments is carried in three different
levels and process responses such as average kerf taper (Ta), surface roughness (Ra) and heat affected zones are mea-
sured accordingly. A response surface model is developed as a function of the process parameters. Responses pre-
dicted by the models (as per Taguchi’s L27OA) are employed to search for an optimal combination to achieve
desired process yield. Response Surface Models (RSMs) are developed for mean responses, S/N ratio, and standard
deviation of responses. Optimization models are formulated as single objective optimization problem subject to pro-
cess constraints. Models are formulated based on Analysis of Variance (ANOVA) and optimized using Matlab devel-
oped environment. Optimum solutions are compared with Taguchi Methodology results. As such, practicing engineers
have means to model, analyze and optimize nontraditional machining processes. Validation experiments are carried to
verify the developed models with success.
Key words: Optimization, Laser cutting, Kerf width, Taguchi technique, Response surface methodology, Design of
experiments
Uploads
Master Thesis Supervision by Eng.hany mohamed
Taguchi's parameter design is a systematic approach to optimize process performance, quality and cost. Laser beam cutting (LBM) is a non-traditional machining process widely used for cutting, drilling, marking, welding, sintering,
and heat treatment. The objective of this study is to apply Taguchi optimization methodology to optimize Laser beam cutting parameters of Stainless steel (316L) to achieve
optimal Average Kerf Taper (Ta), Surface Roughness (Ra) and Heat affected zone (HAZ). A series of experiments are conducted using (LBM) to relate machining parameters to several quality responses. Analysis of variance
(ANOVA), Analysis of mean (ANOM), Orthogonal array (L27OA) and signal to noise ratio are employed to analyze the influence of process parameters. The machining parameters are machining on power (Watt), oxygen pressure (MPa),
pulse frequency (Hz) and cutting speed (cm/min). Another objective is to build mathematical models for average kerf taper and average surface roughness as function of significant process parameters using Response Surface Methodology (RSM).
Experimental results for both S/N ratio and mean response values show that power, oxygen pressure, and cutting speed are the most significant parameters that influence Kerf taper at confidence levels 99%, 95%, and 90% respectively.
On the other hand, power and oxygen pressure are the significant parameters that influence average surface roughness at confidence levels 99%95%, and 90% respectively, consequently both the power and pressure of oxygen are the criteria that affect the impact of the heat affected zone at confidence levels 99%, 95%, and 90% respectively. RSM models are developed for mean responses, S/N ratio, and standard deviation of responses. Optimization models are formulated as single objective problem subject to process constraints. Models are formulated based on
Analysis of Variance (ANOVA) via optimization toolbox MATLAB. Optimum solutions are compared with Taguchi Methodology results.
Further validation experiments are carried to verify developed models with success.
Papers by Eng.hany mohamed
eters of laser beam cutting parameters of stainless steel (316L) considering the effect of input parameters such as
power, oxygen pressure, frequency and cutting speed. Statistical design of experiments is carried in three different
levels and process responses such as average kerf taper (Ta), surface roughness (Ra) and heat affected zones are mea-
sured accordingly. A response surface model is developed as a function of the process parameters. Responses pre-
dicted by the models (as per Taguchi’s L27OA) are employed to search for an optimal combination to achieve
desired process yield. Response Surface Models (RSMs) are developed for mean responses, S/N ratio, and standard
deviation of responses. Optimization models are formulated as single objective optimization problem subject to pro-
cess constraints. Models are formulated based on Analysis of Variance (ANOVA) and optimized using Matlab devel-
oped environment. Optimum solutions are compared with Taguchi Methodology results. As such, practicing engineers
have means to model, analyze and optimize nontraditional machining processes. Validation experiments are carried to
verify the developed models with success.
Key words: Optimization, Laser cutting, Kerf width, Taguchi technique, Response surface methodology, Design of
experiments
Taguchi's parameter design is a systematic approach to optimize process performance, quality and cost. Laser beam cutting (LBM) is a non-traditional machining process widely used for cutting, drilling, marking, welding, sintering,
and heat treatment. The objective of this study is to apply Taguchi optimization methodology to optimize Laser beam cutting parameters of Stainless steel (316L) to achieve
optimal Average Kerf Taper (Ta), Surface Roughness (Ra) and Heat affected zone (HAZ). A series of experiments are conducted using (LBM) to relate machining parameters to several quality responses. Analysis of variance
(ANOVA), Analysis of mean (ANOM), Orthogonal array (L27OA) and signal to noise ratio are employed to analyze the influence of process parameters. The machining parameters are machining on power (Watt), oxygen pressure (MPa),
pulse frequency (Hz) and cutting speed (cm/min). Another objective is to build mathematical models for average kerf taper and average surface roughness as function of significant process parameters using Response Surface Methodology (RSM).
Experimental results for both S/N ratio and mean response values show that power, oxygen pressure, and cutting speed are the most significant parameters that influence Kerf taper at confidence levels 99%, 95%, and 90% respectively.
On the other hand, power and oxygen pressure are the significant parameters that influence average surface roughness at confidence levels 99%95%, and 90% respectively, consequently both the power and pressure of oxygen are the criteria that affect the impact of the heat affected zone at confidence levels 99%, 95%, and 90% respectively. RSM models are developed for mean responses, S/N ratio, and standard deviation of responses. Optimization models are formulated as single objective problem subject to process constraints. Models are formulated based on
Analysis of Variance (ANOVA) via optimization toolbox MATLAB. Optimum solutions are compared with Taguchi Methodology results.
Further validation experiments are carried to verify developed models with success.
eters of laser beam cutting parameters of stainless steel (316L) considering the effect of input parameters such as
power, oxygen pressure, frequency and cutting speed. Statistical design of experiments is carried in three different
levels and process responses such as average kerf taper (Ta), surface roughness (Ra) and heat affected zones are mea-
sured accordingly. A response surface model is developed as a function of the process parameters. Responses pre-
dicted by the models (as per Taguchi’s L27OA) are employed to search for an optimal combination to achieve
desired process yield. Response Surface Models (RSMs) are developed for mean responses, S/N ratio, and standard
deviation of responses. Optimization models are formulated as single objective optimization problem subject to pro-
cess constraints. Models are formulated based on Analysis of Variance (ANOVA) and optimized using Matlab devel-
oped environment. Optimum solutions are compared with Taguchi Methodology results. As such, practicing engineers
have means to model, analyze and optimize nontraditional machining processes. Validation experiments are carried to
verify the developed models with success.
Key words: Optimization, Laser cutting, Kerf width, Taguchi technique, Response surface methodology, Design of
experiments