Genetic Algorithm Applied to Investigate Cutting Process Parameters Influence on Workpiece Price Formation

Outfitting is a critical stage in the shipbuilding process. Within the outfitting, the construction of pipe systems is a phase that has a significant effect on time and cost. While cutting the pipes required for the pipe systems in shipyards, the cutting process is usually performed randomly. This can result in large amounts of trim losses. In this paper, we present an approach to minimize these losses. With the proposed method it is aimed to base the pipe cutting process on a specific systematic. To solve this problem, Genetic Algorithms (GA), which gives successful results in solving many problems in the literature, have been used. Different types of genetic operators have been used to investigate the search space of the problem well. The results obtained have proven the effectiveness of the proposed approach.

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Multi-objective optimization of injection-molded plastic parts using entropy weight, random forest, and genetic algorithm methods

Journal of Polymer Engineering ◽

10.1515/polyeng-2019-0326 ◽

2020 ◽

Vol 40 (4) ◽

pp. 360-371

Author(s):

Yanli Cao ◽

Xiying Fan ◽

Yonghuan Guo ◽

Sai Li ◽

Haiyue Huang

Keyword(s):

Genetic Algorithm ◽

Random Forest ◽

Regression Model ◽

Process Parameters ◽

Multi Objective Optimization ◽

Entropy Weight ◽

Multi Objective ◽

Injection Molded ◽

Plastic Parts

AbstractThe qualities of injection-molded parts are affected by process parameters. Warpage and volume shrinkage are two typical defects. Moreover, insufficient or excessively large clamping force also affects the quality of parts and the cost of the process. An experiment based on the orthogonal design was conducted to minimize the above defects. Moldflow software was used to simulate the injection process of each experiment. The entropy weight was used to determine the weight of each index, the comprehensive evaluation value was calculated, and multi-objective optimization was transformed into single-objective optimization. A regression model was established by the random forest (RF) algorithm. To further illustrate the reliability and accuracy of the model, back-propagation neural network and kriging models were taken as comparative algorithms. The results showed that the error of RF was the smallest and its performance was the best. Finally, genetic algorithm was used to search for the minimum of the regression model established by RF. The optimal parameters were found to improve the quality of plastic parts and reduce the energy consumption. The plastic parts manufactured by the optimal process parameters showed good quality and met the requirements of production.

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A hybrid multi-objective optimization of 3D printing process parameters using genetic algorithm

10.1063/5.0068209 ◽

2021 ◽

Author(s):

Zahoor Ahmed Shariff ◽

Lokesh M. ◽

K. Mayandi ◽

A. K. Saravanan ◽

P. Sethu Ramalingam ◽

...

Keyword(s):

Genetic Algorithm ◽

3D Printing ◽

Process Parameters ◽

Multi Objective Optimization ◽

Printing Process ◽

Multi Objective

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Ultraschallüberlagertes Trennschleifen von Faserverbundwerkstoffen*/Ultrasound abrasive cutting of fiber composites - Survey on the potential and mode of action

wt Werkstattstechnik online ◽

10.37544/1436-4980-2016-01-02-41 ◽

2016 ◽

Vol 106 (01-02) ◽

pp. 39-43

Author(s):

Y. Babenko ◽

T. Mayer ◽

A. Gebhardt

Keyword(s):

Surface Quality ◽

Process Parameters ◽

Mode Of Action ◽

Fiber Composites ◽

Cutting Process ◽

Force Analysis ◽

Abrasive Cutting

Dieser Fachartikel befasst sich mit der Untersuchung des Potentials der Ultraschallüberlagerung beim Trennschleifen moderner Faserverbundwerkstoffe. Es wurde eine Zerspankraftanalyse des Trennschleifprozesses am CFK-Werkstück mit variierenden Prozessparametern durchgeführt. Zudem wurden die Oberflächenqualitäten der Schnittkanten betrachtet.   The presented study describes the investigation of the potential of ultrasound abrasive cutting of modern fiber composites. A force analysis of the abrasive cutting process of CFRP was conducted, while the process parameters were varied. In addition, the surface quality of the machined workpieces was observed.

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Temperaturanalyse beim Trennschleifen von CFK*/Temperature analysis during the cut-off grinding of CFRP

wt Werkstattstechnik online ◽

10.37544/1436-4980-2017-01-02-89 ◽

2017 ◽

Vol 107 (01-02) ◽

pp. 87-93

Author(s):

Y. Babenko ◽

M. Schneider ◽

A. Gebhardt

Keyword(s):

Heat Generation ◽

Process Parameters ◽

Cutting Process ◽

Wird Eine ◽

Temperature Analysis ◽

Grinding Wheels ◽

Dry Cutting ◽

Empirische Untersuchung

In der vorliegenden Arbeit wird eine empirische Untersuchung zum trockenen Trennschleifen von kohlenstofffaserverstärktem Kunststoff (CFK) vorgestellt. Im Mittelpunkt steht das Ermitteln der Zusammenhänge zwischen Prozessparametern und der Wärmeentstehung sowie resultierenden Temperaturen in der Schleifzone. Darüber hinaus wurde der Verschleiß der Trennschleifscheiben ausgewertet und die Bearbeitungsqualität untersucht.   The presented investigations discuss the dependencies of process parameters and heat generation in the dry cutting process of CFRP. For the cutting process, diamond-tipped grinding wheels are used. For further evaluation additionally the wear of the cutting abrasive and the cutting quality on the workpiece were determined.

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Some Studies on Forming Optimization with Genetic Algorithm

An International Journal of Optimization and Control Theories & Applications (IJOCTA) ◽

10.11121/ijocta.01.2012.0047 ◽

2012 ◽

Vol 2 (2) ◽

pp. 105-112

Author(s):

Ganesh Marotrao KAKANDIKAR ◽

Vilas M. NANDEDKAR

Keyword(s):

Genetic Algorithm ◽

Process Parameters ◽

Wide Spectrum ◽

Simulation Software ◽

Flow Conditions ◽

Element Analysis ◽

Blank Holder ◽

New Approach ◽

Finite Element Analysis Simulation ◽

Selection Of

Forming is a compression-tension process involving wide spectrum of operations and flow conditions. The result of the process depends on the large number of parameters and their interdependence. The selection of various parameters is still based on trial and error methods. In this paper the authors presents a new approach to optimize the geometry parameters of circular components, process parameters such as blank holder pressure and coefficient of friction etc. The optimization problem has been formulated with the objective of optimizing the maximum forming load required in Forming. Genetic algorithm is used for the optimization purpose to minimize the drawing load and to optimize the process parameters. A finite element analysis simulation software Fast Form Advanced is used for the validations of the results after optimization.

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