Comparison of Response Surface Methodology and Genetic Algorithm in Parameter Optimization of Laser Welding Process

Vijayan, K.; Ranjithkumar, P; Shanmugarajan, B.

doi:10.18576/amis/120124

Cited by 11 publications

(3 citation statements)

References 5 publications

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“…The response surface method (RSM) is a mathematical and statistical technique for determining the relationships between response and input parameters (independent variables). RSM entails choosing an experimental method to investigate the parameters and using empirical statistical modelling to establish a link between the variables and the outcomes [ 26 ]. Using Minitab 18 software, regression mathematical models for interaction between process parameter and flexural strength were created in this study.…”

Section: Methodsmentioning

confidence: 99%

Characterization and parametric optimization of additive manufacturing process for enhancing mechanical properties

Tura

Mamo

2022

Heliyon

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Section: Methodsmentioning

confidence: 99%

Characterization and parametric optimization of additive manufacturing process for enhancing mechanical properties

Tura

Mamo

2022

Heliyon

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“…The selection of genotypes (chromosomes) was based on the "fitness of the fittest," which implies that the best one would survive and create the new generation according to Darwinian theory. The primary objective of the recombination operator is to emphasize the good solutions and eliminate the bad solutions in a population while keeping the population size constant [ 44 , 45 , 46 ].…”

Section: Methodsmentioning

confidence: 99%

Warpage Optimisation Using Recycled Polycar-bonates (PC) on Front Panel Housing

et al. 2021

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Many studies have been done using recycled waste materials to minimise environmental problems. It is a great opportunity to explore mechanical recycling and the use of recycled and virgin blend as a material to produce new products with minimum defects. In this study, appropriate processing parameters were considered to mould the front panel housing part using R0% (virgin), R30% (30% virgin: 70% recycled), R40% (40% virgin: 60% recycled) and R50% (50% virgin: 50% recycled) of Polycarbonate (PC). The manufacturing ability and quality during preliminary stage can be predicted through simulation analysis using Autodesk Moldflow Insight 2012 software. The recommended processing parameters and values of warpage in x and y directions can also be obtained using this software. No value of warpage was obtained from simulation studies for x direction on the front panel housing. Therefore, this study only focused on reducing the warpage in the y direction. Response Surface Methodology (RSM) and Genetic Algorithm (GA) optimisation methods were used to find the optimal processing parameters. As the results, the optimal ratio of recycled PC material was found to be R30%, followed by R40% and R50% materials using RSM and GA methods as compared to the average value of warpage on the moulded part using R0%. The most influential processing parameter that contributed to warpage defect was packing pressure for all materials used in this study.

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“…Elgothamy et al [14] enhanced GA to solve a dynamic large optimization problem. In laser welding process, Vijaya, Ranjithkumar, and Shanmugarajan [15] compared among the GA with Response Surface Methodology in parameter optimization. Hai et al [16] used GA to improve the performance of an internal combustion engine.…”

Section: B Literature Studymentioning

confidence: 99%

An empirical Study Investigation of Task Allocation Process Barriers in the Context of Offshore Software Development Outsourcing: An Organization Size Based Analysis

al.¹

2020

IJCDS

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This research presented a holistic approach in determining the trade-off optimized Proportional-Integral-Derivative (PID) tunings for both servo and regulatory controls of the cascade control loop by using Genetic Algorithm (GA). Performance of GA-based PID tunings was significantly compared with the IMC-based single loop tunings and conventional cascade control tunings. GA-based PID tunings eliminated the complicated mathematic calculations in obtaining the correlation PID tuning values and also reduce the dependency on engineering knowledge, experience, and skills. The performance of transient and steady-state responses was compared through time domain specification, performance index, and process response curve. It is concluded that the GA-based PID tunings for the cascade control loop had produced the best result for both servo and regulatory control objectives, which is eventually determined.

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Comparison of Response Surface Methodology and Genetic Algorithm in Parameter Optimization of Laser Welding Process

Cited by 11 publications

References 5 publications

Characterization and parametric optimization of additive manufacturing process for enhancing mechanical properties

Characterization and parametric optimization of additive manufacturing process for enhancing mechanical properties

Warpage Optimisation Using Recycled Polycar-bonates (PC) on Front Panel Housing

An empirical Study Investigation of Task Allocation Process Barriers in the Context of Offshore Software Development Outsourcing: An Organization Size Based Analysis

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