Karbon nano tüp katkılı cam elyaf takviyeli kompozit malzemenin delme parametrelerinin Taguchi tabanlı Critic-CoCoSo yöntemleriyle optimizasyonu
Abstract
Bu makale, çok duvarlı karbon nanotüp (ÇDKNT) ile takviye edilmiş cam elyaf takviyeli polimer (CETP) kompozitlerin işleme verimliliğini, Taguchi ve Critic-CoCoso yöntemiyle değerlendirmesini sunmaktadır. Çalışmada delik delme işlemlerinde, farklı oranlarda çok duvarlı karbon nano tüp katkılı CETP malzemelerin, farklı takım tipiyle, işleme parametrelerinin, yüzey pürüzlülüğü, delaminasyon ve itme kuvveti üzerindeki etkileri araştırılmıştır. Deneyler Taguchi L27 ortogonal dizilimine göre planlanarak her bir kontrol parametresinin çıktılar üzerindeki etkileri S/N oranı yöntemiyle belirlenmiştir.
Yapılan çalışmada, CETP matrix composite materials ın işlenmesinde kullanılan parametrelerin optimum değerlerinin belirlenmesi amaçlanmıştır. Elde edilen çıktı sayısının birden fazla olması, farklı ve çelişkili cevap değerlerinin birbirleri üzerindeki etkilerinin de dikkate alınmasını gerektirmektedir. Bu sebeple bütün çıktıların tek bir amaç fonksiyonu olarak değerlendirilebilmesi için uygulamada sıklıkla kullanılan çok kriterli karar verme yöntemleri (ÇKKV) kullanılmaktadır. Önce tüm çıktı değerlerinin minimizasyonunu sağlamak için veriler Critic yöntemiyle ağırlıklandırılmış daha sonra da, çok kriterli karar verme yöntemlerinden CoCoSo yöntemi kullanılarak karşılaştırmalı analizi yapılmıştır.
Keywords
References
- Akçakanat Ö., Eren H., Aksoy E., Ömürbek V. Performance evaluation by entropy and WASPAS methods at banking sector. SDU the Journal of Faculty of Economics and Administrative Sciences 2017; 22(2): 285-300.
- Anand G., Alagumurthi N., Elansezhian R., Palanikumar K., Venkateshwaran N. Investigation of drilling parameters on hybrid polymer composites using grey relational analysis, regression, fuzzy logic, and ANN models. Journal of the Brazilian Society of Mechanical Sciences and Engineering 2018; 40: 1-20.
- Barua A., Jeet S., Bagal DK., Satapathy P., Agrawal PK. Evaluation of mechanical behavior of hybrid natural fiber reinforced nano sic particles composite using hybrid Taguchi-CoCoSo method. International Journal of Innovative Technology and Exploring Engineering 2019; 8(10): 3341-3345.
- Bilge T., Motorcu R., Ivanov A. Kompakt laminat kompozit malzemenin tungsten karbür takımlarla delinmesinde delaminasyon faktörünün değerlendirilmesi. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 2017; 23(4): 427-436.
- Biruk-Urban K., Bere P., Józwik J., Leleń M. Experimental Study and Artificial Neural Network Simulation of Cutting Forces and Delamination Analysis in GFRP Drilling. Materials 2022; 15(23): 8597.
- Ceritbinmez F., Yapıcı A. The effect of drill point angle And MWCNTs doped In drilling of composite materials. academic Perspective Procedia 2020; 3(1): 180-188.
- Chakraborty S., Chakraborty S. A scoping review on the applications of MCDM techniques for parametric optimization of machining processes. Archives of Computational Methods in Engineering 2022;29: 1-22.
- Davim JP., Reis P. Drilling carbon fiber reinforced plastics manufactured by autoclave—experimental and statistical study. Materials design 2003; 24(5): 315-324.
- Davim JP., Reis P., Antonio CC. Experimental study of drilling glass fiber reinforced plastics (GFRP) manufactured by hand lay-up. Composites Science and Technology 2004; 64(2): 289-297.
- Engin KE., Harun Y. Effect of drilling parameters on hole quality in drilling of pultruded GFRP composite material: Surface roughness, thrust force and delamination factor. Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi 2023; 12(4): 1573-1580.
- Fedai Y., Basar G., Kirli Akin H. Multi-response optimization in drilling of MWCNTs reinforced GFRP using grey relational analysis. Tehnički Vjesnik 2022; 29(3): 742-751.
- Karnik S., Gaitonde V., Rubio JC., Correia AE., Abrão A., Davim JP. Delamination analysis in high speed drilling of carbon fiber reinforced plastics (CFRP) using artificial neural network model. Materials Design 2008; 29(9): 1768-1776.
- Haoues S., Yallese MA. Belhadi S., Chihaoui S., Uysal A. Modeling and optimization in turning of PA66- GF30% and PA66 using multi-criteria decision-making (PSI, MABAC, and MAIRCA) methods: A comparative study, The International Journal of Advanced Manufacturing Technology 2022; 1-21.
- Kavad B., Pandey, A., Tadavi, M., Jakharia H. A review paper on effects of drilling on glass fiber reinforced plastic. Procedia Technology 2014; 14: 457-464.
- Kilickap E. Optimization of cutting parameters on delamination based on Taguchi method during drilling of GFRP composite. Expert Systems with Applications 2010; 37(8): 6116-6122.
- Kumar R., Singh S., Bilga PS., Singh J., Singh S., Scutaru ML., Pruncu CI. Revealing the benefits of entropy weights method for multi-objective optimization in machining operations: A critical review. Journal of Materials Research and Technology 2021; 10: 1471-1492.
- Lin J., Lin C. The use of the orthogonal array with grey relational analysis to optimize the electrical discharge machining process with multiple performance characteristics. International Journal of Machine Tools and Manufacture 2002; 42(2): 237-244.
Optimization of Carbon Nanotube Doped Glass Fiber Reinforced Composite Material Using Taguchi Based Critic-CoCoSo Method
Abstract
This paper presents an evaluation of the machining efficiency of glass fiber reinforced polymer (GFRP) composites reinforced with multi-walled carbon nanotubes (MWCNTs) using Taguchi and Critic-CoCoso methods. In the study, the effects of machining parameters on surface roughness, delamination and thrust force of CETP materials doped with different ratios of multi-walled carbon nanotubes in drilling operations with different tool types were investigated. The experiments were planned according to Taguchi L27 orthogonal arrangement and the effects of each control parameter on the outputs were determined by S/N ratio method.
The study aimed to determine the optimum values of the parameters used in the processing of GFRP matrix composite material. The fact that the number of outputs obtained is more than one requires that the effects of different and conflicting response values on each other should also be taken into account. For this reason, multi-criteria decision making methods (MCDM), which are frequently used in practice, are used to evaluate all outputs as a single objective function. First, the data were weighted with the Critic method to ensure the minimization of all output values, and then a comparative analysis was made using the Combined Compromise Solution (CoCoSo) method, one of the multi-criteria decision making methods.
Keywords
References
- Akçakanat Ö., Eren H., Aksoy E., Ömürbek V. Performance evaluation by entropy and WASPAS methods at banking sector. SDU the Journal of Faculty of Economics and Administrative Sciences 2017; 22(2): 285-300.
- Anand G., Alagumurthi N., Elansezhian R., Palanikumar K., Venkateshwaran N. Investigation of drilling parameters on hybrid polymer composites using grey relational analysis, regression, fuzzy logic, and ANN models. Journal of the Brazilian Society of Mechanical Sciences and Engineering 2018; 40: 1-20.
- Barua A., Jeet S., Bagal DK., Satapathy P., Agrawal PK. Evaluation of mechanical behavior of hybrid natural fiber reinforced nano sic particles composite using hybrid Taguchi-CoCoSo method. International Journal of Innovative Technology and Exploring Engineering 2019; 8(10): 3341-3345.
- Bilge T., Motorcu R., Ivanov A. Kompakt laminat kompozit malzemenin tungsten karbür takımlarla delinmesinde delaminasyon faktörünün değerlendirilmesi. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 2017; 23(4): 427-436.
- Biruk-Urban K., Bere P., Józwik J., Leleń M. Experimental Study and Artificial Neural Network Simulation of Cutting Forces and Delamination Analysis in GFRP Drilling. Materials 2022; 15(23): 8597.
- Ceritbinmez F., Yapıcı A. The effect of drill point angle And MWCNTs doped In drilling of composite materials. academic Perspective Procedia 2020; 3(1): 180-188.
- Chakraborty S., Chakraborty S. A scoping review on the applications of MCDM techniques for parametric optimization of machining processes. Archives of Computational Methods in Engineering 2022;29: 1-22.
- Davim JP., Reis P. Drilling carbon fiber reinforced plastics manufactured by autoclave—experimental and statistical study. Materials design 2003; 24(5): 315-324.
- Davim JP., Reis P., Antonio CC. Experimental study of drilling glass fiber reinforced plastics (GFRP) manufactured by hand lay-up. Composites Science and Technology 2004; 64(2): 289-297.
- Engin KE., Harun Y. Effect of drilling parameters on hole quality in drilling of pultruded GFRP composite material: Surface roughness, thrust force and delamination factor. Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi 2023; 12(4): 1573-1580.
- Fedai Y., Basar G., Kirli Akin H. Multi-response optimization in drilling of MWCNTs reinforced GFRP using grey relational analysis. Tehnički Vjesnik 2022; 29(3): 742-751.
- Karnik S., Gaitonde V., Rubio JC., Correia AE., Abrão A., Davim JP. Delamination analysis in high speed drilling of carbon fiber reinforced plastics (CFRP) using artificial neural network model. Materials Design 2008; 29(9): 1768-1776.
- Haoues S., Yallese MA. Belhadi S., Chihaoui S., Uysal A. Modeling and optimization in turning of PA66- GF30% and PA66 using multi-criteria decision-making (PSI, MABAC, and MAIRCA) methods: A comparative study, The International Journal of Advanced Manufacturing Technology 2022; 1-21.
- Kavad B., Pandey, A., Tadavi, M., Jakharia H. A review paper on effects of drilling on glass fiber reinforced plastic. Procedia Technology 2014; 14: 457-464.
- Kilickap E. Optimization of cutting parameters on delamination based on Taguchi method during drilling of GFRP composite. Expert Systems with Applications 2010; 37(8): 6116-6122.
- Kumar R., Singh S., Bilga PS., Singh J., Singh S., Scutaru ML., Pruncu CI. Revealing the benefits of entropy weights method for multi-objective optimization in machining operations: A critical review. Journal of Materials Research and Technology 2021; 10: 1471-1492.
- Lin J., Lin C. The use of the orthogonal array with grey relational analysis to optimize the electrical discharge machining process with multiple performance characteristics. International Journal of Machine Tools and Manufacture 2002; 42(2): 237-244.
Details
| Primary Language | Turkish |
|---|---|
| Subjects | Multiple Criteria Decision Making, Optimization in Manufacturing |
| Journal Section | RESEARCH ARTICLES |
| Authors | |
| Publication Date | March 11, 2024 |
| Submission Date | November 19, 2023 |
| Acceptance Date | February 6, 2024 |
| Published in Issue | Year 2024 Volume: 7 Issue: 2 |
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