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NİKEL ESASLI SÜPER ALAŞIMLARIN DELİNMESİNDE İŞLEME PARAMETRELERİNİN GRİ İLİŞKİSEL ANALİZ VE TAGUCHI İLE OPTİMİZASYONU

Year 2023, Volume: 26 Issue: 2, 363 - 378, 03.06.2023

Harun Yaka , Ramazan Atılkan

https://doi.org/10.17780/ksujes.1167745
Cited By: 1

Abstract

Artan maliyetler ve istenen ürünün kalitesi dikkate alındığında talaşlı imalatta verimli işleme yapmanın önemi artmaktadır. Verimli bir işleme yapabilmek için kesme parametreleri uygun seçilmelidir. Bu çalışmada, nikel esaslı süper alaşımlı malzemelerde delme işlemi yapılmıştır. Delme işleminde farklı kesme parametreleri ve seviyeleri kullanılmıştır. Ayrıca delme işleminde kaplamalı ve kaplamasız olmak üzere iki ayrı matkap ucu seçilmiştir. Taguchi yöntemi ile deney listesi oluşturulmuş ve deneyler sonunda elde dilen yüzeylerin yüzey pürüzlülükleri ölçülmüştür. Sonuçlar, Taguchi ve GİA (Gri İlişkisel Analiz) yöntemleri kullanılarak optimizasyon yapılmıştır. Optimizasyonlar, ortalama yüzey pürüzlülüğünün en küçük değeri istendiği için en küçük en iyi sinyal-gürültü oranı seçilerek yapılmıştır. Deneyler sonunda en düşük ortalama yüzey pürüzlülüğünü elde ettiğimiz kesme parametreleri ve seviyeleri belirlenmiştir. Optimum parametre seviyelerinin dizilimi A2B3C1D3 çıkmıştır. Ortalama yüzey pürüzlülüğüne en çok etki eden parametre belirlenmiş ve çalışmanın güven düzeyi Varyans analizi kullanılarak bulunmuştur. En etkin parametre kesme hızı, çalışmanın güven düzeyi %84,23 olmuştur.

Keywords

Süper alaşım Taguchi gri ilişkisel analiz optimizasyon ortalama yüzey pürüzlülüğü

Thanks

Bu çalışma, Amasya Üniversitesi, Fen Bilimleri Enstitüsü Makine Mühendisliği Anabilim Dalında Yüksek Lisans tezi kapsamında yapılmıştır. Deneylerin yapılmasına yardımcı olan Makrotek Makina firmasına ve pürüzlülük ölçümlerinde laboratuvar imkanlarını kullanmamızı sağlayan Amasya Üniversitesi Mühendislik Fakültesi’ne teşekkür ederiz.

References

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  • Akkuş, H. (2021). AISI 1040 Çeliğinin İşlenebilirliği Sırasında Oluşan Yüzey Pürüzlülüğü Değerlerinin Farklı Tahmin Modelleri ile Araştırılması. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi, 24(2), 84-92. https://doi.org/10.17780/ksujes.845344
  • Akkuş, H. (2022). Experimental and statistical investigations of surface roughness, vibration, and energy consumption values of titanium alloy during machining using response surface method and grey relational analysis. Scientia Iranica B, 29(1), 109-119. https://doi.org/10.24200/SCI.2021.57548.5296
  • Alsoruji, G., Muthuramalingam, T., Moustafa, E. B., & Elsheikh, A. (2022). Investigation and TGRA based optimization of laser beam drilling process during machining of Nickel Inconel 718 alloy. Journal of Materials Research and Technology, 18, 720-730. https://doi.org/10.1016/j.jmrt.2022.02.112
  • Asiltürk, I., & Akkuş, H. (2011). Determining the effect of cutting parameters on surface roughness in hard turning using the Taguchi method. Measurement, 44(9), 1697-1704. https://doi.org/10.1016/j.measurement.2011.07.003
  • Bademlioglu, A. H., Canbolat, A. S., & Kaynakli, O. (2020). Multi-objective optimization of parameters affecting Organic Rankine Cycle performance characteristics with Taguchi-Grey Relational Analysis. Renewable and Sustainable Energy Reviews, 117, 109483. https://doi.org/10.1016/j.rser.2019.109483
  • Benardos, P. G., Vosniakos, G. C. (2003). Predicting surface roughness in machining: a review. International journal of machine tools and manufacture, 43(8), 833-844. https://doi.org/10.1016/S0890-6955(03)00059-2
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  • Jena, S. P., Mahapatra, S., & Acharya, S. K. (2021). Optimization of performance and emission characteristics of a diesel engine fueled with Karanja biodiesel using Grey-Taguchi method. Materials Today: Proceedings, 41, 180-185. https://doi.org/10.1016/j.matpr.2020.08.579
  • Khanafer, K., Eltaggaz, A., Deiab, I., Agarwal, H., & Abdul-Latif, A. (2020). Toward sustainable micro-drilling of Inconel 718 superalloy using MQL-Nanofluid. The International Journal of Advanced Manufacturing Technology, 107(7), 3459-3469. https://doi.org/10.1007/s00170-020-05112-4
  • Khanna, N., Agrawal, C., Gupta, M. K., & Song, Q. (2020). Tool wear and hole quality evaluation in cryogenic Drilling of Inconel 718 superalloy. Tribology International, 143, 106084. https://doi.org/10.1016/j.triboint.2019.106084
  • Khanna, N., Agrawal, C., Dogra, M., & Pruncu, C. I. (2020). Evaluation of tool wear, energy consumption, and surface roughness during turning of inconel 718 using sustainable machining technique. Journal of materials research and technology, 9(3), 5794-5804. https://doi.org/10.1016/j.jmrt.2020.03.104
  • Kıvak, T., Habalı, K., & Şeker, U. (2010). Inconel 718'in delinmesinde kesme parametrelerinin yüzey pürüzlülüğü ve talaş oluşumu üzerindeki etkisinin araştırılması. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi. https://dergipark.org.tr/en/pub/gazimmfd/issue/6684/88477
  • Kumar, S., Singh, D., Kalsi, N. S. (2017). Experimental investigations of surface roughness of Inconel 718 under different machining conditions. Materials Today: Proceedings, 4(2), 1179-1185. https://doi.org/10.1016/j.matpr.2017.01.135
  • Lotfi, M., Farid, A. A., Akbari, J., Sharif, S., & Mohruni, A. S. (2022). Evaluation of surface integrity when drilling Inconel 718 through experimental measurement and finite element analysis. The International Journal of Advanced Manufacturing Technology, 119(7), 4237-4248. https://doi.org/10.1007/s00170-021-08354-y
  • Mohamed, M. F., Lenin, K. (2020). Optimization of Wire EDM process parameters using Taguchi technique. Materials Today: Proceedings, 21, 527-530. https://doi.org/10.1016/j.matpr.2019.06.662
  • Montgomery, D. C. (2017). Design and analysis of experiments. John wiley & sons. Inc. Arizona.
  • Motorcu, A. R., Kuş, A., & Durgun, I. (2014). The evaluation of the effects of control factors on surface roughness in the drilling of Waspaloy superalloy. Measurement, 58, 394-408. https://doi.org/10.1016/j.measurement.2014.09.012
  • Nas, E., Özbek, O., Bayraktar, F., & Kara, F. (2021). Experimental and statistical investigation of machinability of AISI D2 steel using electroerosion machining method in different machining parameters. Advances in Materials Science and Engineering, 1-17. https://doi.org/10.1155/2021/1241797
  • Ozcelik, B., Oktem, H., Kurtaran, H. (2005). Optimum surface roughness in end milling Inconel 718 by coupling neural network model and genetic algorithm. The International Journal of Advanced Manufacturing Technology, 27(3), 234-241. https://doi.org/10.1007/s00170-004-2175-7
  • Özlü, B., Akgün, M., & Demir, H. (2019). AA 6061 Alaşımının tornalanmasında kesme parametrelerinin yüzey pürüzlülüğü üzerine etkisinin analizi ve optimizasyonu. Gazi Mühendislik Bilimleri Dergisi, 5(2), 151-158. https://dergipark.org.tr/en/pub/gmbd/issue/48368/548363
  • Sahoo, A. K., Jeet, S., Bagal, D. K., Barua, A., Pattanaik, A. K., & Behera, N. (2022). Parametric optimization of CNC-drilling of Inconel 718 with cryogenically treated drill-bit using Taguchi-Whale optimization algorithm. Materials Today: Proceedings, 50, 1591-1598. https://doi.org/10.1016/j.matpr.2021.09.121
  • Selvan, T. A., Kotha, M. S., Chinamilli, N. S., Dattatreya, G. G., Rajesh, S., Akshey, P. B., & Madhankumar, S. (2022).
  • Taguchi-based grey relational study for multiple criterion optimization on process variables for micro Electro-chemical Machining of Inconel Super-alloy. Materials Today: Proceedings, 62, 882-888. https://doi.org/10.1016/j.matpr.2022.04.060
  • Shah, D. R., Pancholi, N., Gajera, H., Patel, B. (2022). Investigation of cutting temperature, cutting force and surface roughness using multi-objective optimization for turning of Ti-6Al-4 V (ELI). Materials Today: Proceedings, 50, 1379-1388. https://doi.org/10.1016/j.matpr.2021.08.285
  • Sheheryar, M., Khan, M. A., Jaffery, S. H. I., Alruqi, M., Khan, R., Bashir, M. N., & Petru, J. (2022). Multi-Objective Optimization of Process Parameters during Micro-Milling of Nickel-Based Alloy Inconel 718 Using Taguchi-Grey Relation Integrated Approach. Materials, 15(23), 8296. https://doi.org/10.3390/ma15238296
  • Singh, P.N., Raghukandan, K., Pai, B.C. (2004). Optimization by Grey relational analysis of EDM parameters on machining Al–10%SiCP composites. Journal of Materials Processing Technology, 155-156(0), 1658-1661. https://doi.org/10.1016/j.jmatprotec.2004.04.322
  • Tosun, N. (2006). Determination of optimum parameters for multi-performance characteristics in drilling by using grey relational analysis. The International Journal of Advanced Manufacturing Technology, 28, 450-455. https://doi.org/10.1007/s00170-004-2386-y
  • Yaka, H., Uğur, L., & Akkuş, H. (2016). AISI 1040 çeliğinin tornalanmasında yüzey pürüzlülüğünün çoklu regresyon ile incelenmesi. Afyon Kocatepe Üniversitesi Fen ve Mühendislik Bilimleri Dergisi, 16(3), 770-775. https://doi.org/10.5578/fmbd.34280
  • Yavuz, M., Gökçe, H., Çiftçi, İ., Gökçe, H., Yavaş, Ç., Şeker, U. (2020). Investigation of the effects of drill geometry on drilling performance and hole quality. The International Journal of Advanced Manufacturing Technology, 106, 4623–4633. https://doi.org/10.1007/s00170-019-04843-3
  • Yessian, S., & Varthanan, P. A. (2020). Optimization of performance and emission characteristics of catalytic coated ic engine with biodiesel using grey-taguchi method. Scientific reports, 10(1), 1-13. https://doi.org/10.1038/s41598-019-57129-9
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Year 2023, Volume: 26 Issue: 2, 363 - 378, 03.06.2023

Harun Yaka , Ramazan Atılkan

https://doi.org/10.17780/ksujes.1167745
Cited By: 1

Abstract

References

  • Akgün, M., & Demir, H. (2021). Optimization of cutting parameters affecting surface roughness in turning of inconel 625 superalloy by cryogenically treated tungsten carbide inserts. SN Applied Sciences, 3(2), 1-12. https://doi.org/10.1007/s42452-021-04303-2
  • Akkuş, H. (2021). AISI 1040 Çeliğinin İşlenebilirliği Sırasında Oluşan Yüzey Pürüzlülüğü Değerlerinin Farklı Tahmin Modelleri ile Araştırılması. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi, 24(2), 84-92. https://doi.org/10.17780/ksujes.845344
  • Akkuş, H. (2022). Experimental and statistical investigations of surface roughness, vibration, and energy consumption values of titanium alloy during machining using response surface method and grey relational analysis. Scientia Iranica B, 29(1), 109-119. https://doi.org/10.24200/SCI.2021.57548.5296
  • Alsoruji, G., Muthuramalingam, T., Moustafa, E. B., & Elsheikh, A. (2022). Investigation and TGRA based optimization of laser beam drilling process during machining of Nickel Inconel 718 alloy. Journal of Materials Research and Technology, 18, 720-730. https://doi.org/10.1016/j.jmrt.2022.02.112
  • Asiltürk, I., & Akkuş, H. (2011). Determining the effect of cutting parameters on surface roughness in hard turning using the Taguchi method. Measurement, 44(9), 1697-1704. https://doi.org/10.1016/j.measurement.2011.07.003
  • Bademlioglu, A. H., Canbolat, A. S., & Kaynakli, O. (2020). Multi-objective optimization of parameters affecting Organic Rankine Cycle performance characteristics with Taguchi-Grey Relational Analysis. Renewable and Sustainable Energy Reviews, 117, 109483. https://doi.org/10.1016/j.rser.2019.109483
  • Benardos, P. G., Vosniakos, G. C. (2003). Predicting surface roughness in machining: a review. International journal of machine tools and manufacture, 43(8), 833-844. https://doi.org/10.1016/S0890-6955(03)00059-2
  • Besterfield, D.H., Besterfield, C., Besterfield, G.H., Besterfield, M, (1995). Total quality management. Prentice Hall Inc., New Jersey.
  • Chen, Y. C., & Liao, Y. S. (2003). Study on wear mechanisms in drilling of Inconel 718 superalloy. Journal of Materials Processing Technology, 140(1-3), 269-273. https://doi.org/10.1016/S0924-0136(03)00792-1
  • Çiftçi, İ., Gökçe, H. (2019). Ti6Al4V Titanyum alaşımının delinmesinde delme yönteminin aşınmaya etkisinin incelenmesi. Journal of Polytechnic, 22(3), 627-631. https://doi.org/10.2339/politeknik.450289
  • Durairaj, M., Sudharsun, D., Swamynathan, N. (2013). Analysis of Process Parameters in Wire EDM with Stainless Steel Using Single Objective Taguchi Method and Multi Objective Grey Relational Grade. Procedia Engineering, 64(0), 868-877. https://doi.org/10.1016/j.proeng.2013.09.163
  • Ekmen, F. H. (2021). Kriyojenik işlem uygulanmış Inconel 718 alaşımlarında delik delme işlemlerinin araştırılması. Batman Üniversitesi, Fen Bilimleri Enstitüsü.
  • Erkan, Ö., & Yücel, E. (2018, November). AA 7075 malzeme üzerine delinen delik yüzeylerinin pürüzlülük optimizasyonu ve istatistiki analizi. In International Eurasian Conference on Science, Engineering and Technology (EurasianSciEnTech) (pp. 789-795).
  • Farid, A. A., Sharif, S., & Namazi, H. (2009). Effect of machining parameters and cutting edge geometry on surface integrity when drilling and hole making in Inconel 718. SAE International Journal of Materials and Manufacturing, 2(1), 564-569. https://www.jstor.org/stable/26282790
  • Gautam, P. S., Vishnoi, P. K., Gupta, V. K. (2022). A single zone thermodynamic simulation model for predicting the combustion and performance characteristics of a CI engine and its validation using statistical analysis. Fuel, 315, 123285. https://doi.org/10.1016/j.fuel.2022.123285
  • Gökçe, H., Yavuz, M., Çiftçi, İ. (2020). An invertigation into the performance of HSS drills when drilling commercially pure molybdenum. Sigma Journal of Engineering and Natural Sciences, 38(1), 61-70. https://dergipark.org.tr/en/pub/sigma/issue/65119/1001557
  • Jafarian, F., Umbrello, D., Golpayegani, S., Darake, Z. (2016). Experimental investigation to optimize tool life and surface roughness in Inconel 718 machining. Materials and Manufacturing Processes, 31(13), 1683-1691. https://doi.org/10.1080/10426914.2015.1090592
  • Jena, S. P., Mahapatra, S., & Acharya, S. K. (2021). Optimization of performance and emission characteristics of a diesel engine fueled with Karanja biodiesel using Grey-Taguchi method. Materials Today: Proceedings, 41, 180-185. https://doi.org/10.1016/j.matpr.2020.08.579
  • Khanafer, K., Eltaggaz, A., Deiab, I., Agarwal, H., & Abdul-Latif, A. (2020). Toward sustainable micro-drilling of Inconel 718 superalloy using MQL-Nanofluid. The International Journal of Advanced Manufacturing Technology, 107(7), 3459-3469. https://doi.org/10.1007/s00170-020-05112-4
  • Khanna, N., Agrawal, C., Gupta, M. K., & Song, Q. (2020). Tool wear and hole quality evaluation in cryogenic Drilling of Inconel 718 superalloy. Tribology International, 143, 106084. https://doi.org/10.1016/j.triboint.2019.106084
  • Khanna, N., Agrawal, C., Dogra, M., & Pruncu, C. I. (2020). Evaluation of tool wear, energy consumption, and surface roughness during turning of inconel 718 using sustainable machining technique. Journal of materials research and technology, 9(3), 5794-5804. https://doi.org/10.1016/j.jmrt.2020.03.104
  • Kıvak, T., Habalı, K., & Şeker, U. (2010). Inconel 718'in delinmesinde kesme parametrelerinin yüzey pürüzlülüğü ve talaş oluşumu üzerindeki etkisinin araştırılması. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi. https://dergipark.org.tr/en/pub/gazimmfd/issue/6684/88477
  • Kumar, S., Singh, D., Kalsi, N. S. (2017). Experimental investigations of surface roughness of Inconel 718 under different machining conditions. Materials Today: Proceedings, 4(2), 1179-1185. https://doi.org/10.1016/j.matpr.2017.01.135
  • Lotfi, M., Farid, A. A., Akbari, J., Sharif, S., & Mohruni, A. S. (2022). Evaluation of surface integrity when drilling Inconel 718 through experimental measurement and finite element analysis. The International Journal of Advanced Manufacturing Technology, 119(7), 4237-4248. https://doi.org/10.1007/s00170-021-08354-y
  • Mohamed, M. F., Lenin, K. (2020). Optimization of Wire EDM process parameters using Taguchi technique. Materials Today: Proceedings, 21, 527-530. https://doi.org/10.1016/j.matpr.2019.06.662
  • Montgomery, D. C. (2017). Design and analysis of experiments. John wiley & sons. Inc. Arizona.
  • Motorcu, A. R., Kuş, A., & Durgun, I. (2014). The evaluation of the effects of control factors on surface roughness in the drilling of Waspaloy superalloy. Measurement, 58, 394-408. https://doi.org/10.1016/j.measurement.2014.09.012
  • Nas, E., Özbek, O., Bayraktar, F., & Kara, F. (2021). Experimental and statistical investigation of machinability of AISI D2 steel using electroerosion machining method in different machining parameters. Advances in Materials Science and Engineering, 1-17. https://doi.org/10.1155/2021/1241797
  • Ozcelik, B., Oktem, H., Kurtaran, H. (2005). Optimum surface roughness in end milling Inconel 718 by coupling neural network model and genetic algorithm. The International Journal of Advanced Manufacturing Technology, 27(3), 234-241. https://doi.org/10.1007/s00170-004-2175-7
  • Özlü, B., Akgün, M., & Demir, H. (2019). AA 6061 Alaşımının tornalanmasında kesme parametrelerinin yüzey pürüzlülüğü üzerine etkisinin analizi ve optimizasyonu. Gazi Mühendislik Bilimleri Dergisi, 5(2), 151-158. https://dergipark.org.tr/en/pub/gmbd/issue/48368/548363
  • Sahoo, A. K., Jeet, S., Bagal, D. K., Barua, A., Pattanaik, A. K., & Behera, N. (2022). Parametric optimization of CNC-drilling of Inconel 718 with cryogenically treated drill-bit using Taguchi-Whale optimization algorithm. Materials Today: Proceedings, 50, 1591-1598. https://doi.org/10.1016/j.matpr.2021.09.121
  • Selvan, T. A., Kotha, M. S., Chinamilli, N. S., Dattatreya, G. G., Rajesh, S., Akshey, P. B., & Madhankumar, S. (2022).
  • Taguchi-based grey relational study for multiple criterion optimization on process variables for micro Electro-chemical Machining of Inconel Super-alloy. Materials Today: Proceedings, 62, 882-888. https://doi.org/10.1016/j.matpr.2022.04.060
  • Shah, D. R., Pancholi, N., Gajera, H., Patel, B. (2022). Investigation of cutting temperature, cutting force and surface roughness using multi-objective optimization for turning of Ti-6Al-4 V (ELI). Materials Today: Proceedings, 50, 1379-1388. https://doi.org/10.1016/j.matpr.2021.08.285
  • Sheheryar, M., Khan, M. A., Jaffery, S. H. I., Alruqi, M., Khan, R., Bashir, M. N., & Petru, J. (2022). Multi-Objective Optimization of Process Parameters during Micro-Milling of Nickel-Based Alloy Inconel 718 Using Taguchi-Grey Relation Integrated Approach. Materials, 15(23), 8296. https://doi.org/10.3390/ma15238296
  • Singh, P.N., Raghukandan, K., Pai, B.C. (2004). Optimization by Grey relational analysis of EDM parameters on machining Al–10%SiCP composites. Journal of Materials Processing Technology, 155-156(0), 1658-1661. https://doi.org/10.1016/j.jmatprotec.2004.04.322
  • Tosun, N. (2006). Determination of optimum parameters for multi-performance characteristics in drilling by using grey relational analysis. The International Journal of Advanced Manufacturing Technology, 28, 450-455. https://doi.org/10.1007/s00170-004-2386-y
  • Yaka, H., Uğur, L., & Akkuş, H. (2016). AISI 1040 çeliğinin tornalanmasında yüzey pürüzlülüğünün çoklu regresyon ile incelenmesi. Afyon Kocatepe Üniversitesi Fen ve Mühendislik Bilimleri Dergisi, 16(3), 770-775. https://doi.org/10.5578/fmbd.34280
  • Yavuz, M., Gökçe, H., Çiftçi, İ., Gökçe, H., Yavaş, Ç., Şeker, U. (2020). Investigation of the effects of drill geometry on drilling performance and hole quality. The International Journal of Advanced Manufacturing Technology, 106, 4623–4633. https://doi.org/10.1007/s00170-019-04843-3
  • Yessian, S., & Varthanan, P. A. (2020). Optimization of performance and emission characteristics of catalytic coated ic engine with biodiesel using grey-taguchi method. Scientific reports, 10(1), 1-13. https://doi.org/10.1038/s41598-019-57129-9
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There are 43 citations in total.

Details

Primary Language Turkish
Subjects Mechanical Engineering
Journal Section Mechanical Engineering
Authors

Harun Yaka 0000-0003-4859-9609

Ramazan Atılkan 0000-0002-4197-3314

Publication Date June 3, 2023
Submission Date August 27, 2022
Published in Issue Year 2023Volume: 26 Issue: 2

Cite

APA Yaka, H., & Atılkan, R. (2023). NİKEL ESASLI SÜPER ALAŞIMLARIN DELİNMESİNDE İŞLEME PARAMETRELERİNİN GRİ İLİŞKİSEL ANALİZ VE TAGUCHI İLE OPTİMİZASYONU. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi, 26(2), 363-378. https://doi.org/10.17780/ksujes.1167745

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