Optimization of Welding Process of Geomembranes in Biodigesters Using Design of Factorial Experiments

This research focuses on the optimization of the thermofusion process in the construction of biodigesters as it has a direct influence on their quality and durability. The study utilizes factorial experiments and statistical analysis, with particular emphasis on the innovative application of the arc...

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Main Authors: Rocio Camarena-Martinez, Roberto Baeza-Serrato, Rocio A. Lizarraga-Morales
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/16/18/6583
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author Rocio Camarena-Martinez
Roberto Baeza-Serrato
Rocio A. Lizarraga-Morales
author_facet Rocio Camarena-Martinez
Roberto Baeza-Serrato
Rocio A. Lizarraga-Morales
author_sort Rocio Camarena-Martinez
collection DOAJ
description This research focuses on the optimization of the thermofusion process in the construction of biodigesters as it has a direct influence on their quality and durability. The study utilizes factorial experiments and statistical analysis, with particular emphasis on the innovative application of the arcsine transformation. Two <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mrow><mn>2</mn></mrow><mrow><mi mathvariant="normal">k</mi></mrow></msup></mrow></semantics></math></inline-formula> factorial designs were developed to account for warm and cold weather. The experiments evaluated factors such as the operator’s experience, wedge sealing temperature, sealing speed, and extruder temperature. The effects on the response variables were analyzed, which included overheating, resistance, and leaks. The study identified significant influences of the operator and the temperature of the wedge sealer in warm weather conditions, while the operator’s influence remained prominent in resistance and leakage tests in cold weather. Data transformation techniques, including the arcsine transformation, were employed to ensure statistical validity. Optimal input variable combinations were identified to maximize resistance and minimize overheating and air leaks. The research emphasizes the importance of optimizing the thermofusion process for biodigester construction, highlighting the role of arcsine transformation in improving statistical analysis. The findings enable practitioners to make informed decisions, leading to improvements in welding processes and overall biodigester quality.
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spelling doaj.art-b4d787c83ba7445581d4b269bc087b952023-11-19T10:27:14ZengMDPI AGEnergies1996-10732023-09-011618658310.3390/en16186583Optimization of Welding Process of Geomembranes in Biodigesters Using Design of Factorial ExperimentsRocio Camarena-Martinez0Roberto Baeza-Serrato1Rocio A. Lizarraga-Morales2Departamento de Estudios Multidisciplinarios, División de Ingenierías, Campus Irapuato-Salamanca, Universidad de Guanajuato, Yuriria 38944, Guanajuato, MexicoDepartamento de Estudios Multidisciplinarios, División de Ingenierías, Campus Irapuato-Salamanca, Universidad de Guanajuato, Yuriria 38944, Guanajuato, MexicoDepartamento de Arte y Empresa, División de Ingenierías, Campus Irapuato-Salamanca, Universidad de Guanajuato, Salamanca 36885, Guanajuato, MexicoThis research focuses on the optimization of the thermofusion process in the construction of biodigesters as it has a direct influence on their quality and durability. The study utilizes factorial experiments and statistical analysis, with particular emphasis on the innovative application of the arcsine transformation. Two <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mrow><mn>2</mn></mrow><mrow><mi mathvariant="normal">k</mi></mrow></msup></mrow></semantics></math></inline-formula> factorial designs were developed to account for warm and cold weather. The experiments evaluated factors such as the operator’s experience, wedge sealing temperature, sealing speed, and extruder temperature. The effects on the response variables were analyzed, which included overheating, resistance, and leaks. The study identified significant influences of the operator and the temperature of the wedge sealer in warm weather conditions, while the operator’s influence remained prominent in resistance and leakage tests in cold weather. Data transformation techniques, including the arcsine transformation, were employed to ensure statistical validity. Optimal input variable combinations were identified to maximize resistance and minimize overheating and air leaks. The research emphasizes the importance of optimizing the thermofusion process for biodigester construction, highlighting the role of arcsine transformation in improving statistical analysis. The findings enable practitioners to make informed decisions, leading to improvements in welding processes and overall biodigester quality.https://www.mdpi.com/1996-1073/16/18/6583biodigestersdesign of experimentsfactorial designsgeomembranesoptimizationthermofusion process
spellingShingle Rocio Camarena-Martinez
Roberto Baeza-Serrato
Rocio A. Lizarraga-Morales
Optimization of Welding Process of Geomembranes in Biodigesters Using Design of Factorial Experiments
Energies
biodigesters
design of experiments
factorial designs
geomembranes
optimization
thermofusion process
title Optimization of Welding Process of Geomembranes in Biodigesters Using Design of Factorial Experiments
title_full Optimization of Welding Process of Geomembranes in Biodigesters Using Design of Factorial Experiments
title_fullStr Optimization of Welding Process of Geomembranes in Biodigesters Using Design of Factorial Experiments
title_full_unstemmed Optimization of Welding Process of Geomembranes in Biodigesters Using Design of Factorial Experiments
title_short Optimization of Welding Process of Geomembranes in Biodigesters Using Design of Factorial Experiments
title_sort optimization of welding process of geomembranes in biodigesters using design of factorial experiments
topic biodigesters
design of experiments
factorial designs
geomembranes
optimization
thermofusion process
url https://www.mdpi.com/1996-1073/16/18/6583
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