Dergiler / Sigma Mühendislik ve Fen Bilimleri Dergisi / 2020 / Cilt: 38 - Sayı: 4

TURNING PROCESS PARAMETERS OPTIMIZATION OF AL7075 HYBRID MMC’S COMPOSITE USING TOPSIS METHOD

Sayfa
2043–2055
Yayın Tarihi
2021-10-05
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

ANOVA was conducted in order to find out the noteworthy factors for the turning process.

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Amaç & Hipotez:This research article elaborates the processes involved in optimization studies in turning process with multi-response features on the basis of Multi-Criteria Decision Making (MCDM) Methodology by utilizing the integrated approach of Criteria importance through inter criteria (CRITIC) and Technique for Order Preference by Similarity Ideal Solution (TOPSIS) approaches.
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Temel Bulgular & Veri:In the study, the researchers optimized the cutting speed, feed and depth of cut with multi-response characteristics which are inclusive of Material Removal Rate (MRR) as well as a surface roughness (Ra).
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Sonuç & Katkı:ANOVA was conducted in order to find out the noteworthy factors for the turning process.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Turning · Surface Roughness · MRR

Abstract

This research article elaborates the processes involved in optimization studies in turning process with multi-response features on the basis of Multi-Criteria Decision Making (MCDM) Methodology by utilizing the integrated approach of Criteria importance through inter criteria (CRITIC) and Technique for Order Preference by Similarity Ideal Solution (TOPSIS) approaches. In the study, the researchers optimized the cutting speed, feed and depth of cut with multi-response characteristics which are inclusive of Material Removal Rate (MRR) as well as a surface roughness (Ra). When using a combination of the turning process parameters such as cutting speed of 115 m/min, the feed of 0.2 rev/m, and depth of cut of 0.8 mm, the approach was able to achieve high MRR and low Ra. The study results inferred that the TOPSIS method can be used to enhance the multi-response characteristics of theAl7075/FA/SiC MMC used during the turning process. ANOVA was conducted in order to find out the noteworthy factors for the turning process.

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Bu Makaleye Atıf Yap

REDDY, V. V. (2021). TURNING PROCESS PARAMETERS OPTIMIZATION OF AL7075 HYBRID MMC’S COMPOSITE USING TOPSIS METHOD. Sigma Mühendislik ve Fen Bilimleri Dergisi, Cilt: 38 - Sayı: 4, 2043–2055. https://ajindex.com/articles/414755

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Kaynakça (12)

  1. Kanta DD., Mishra, P. C., Singh, S., & Thakur, R. K. (2015). Tool wear in turning ceramic reinforced aluminum matrix composites—A review. Journal of Composite Materials, 49(24), 2949-2961
  2. NMuthukrishnan,., Murugan, M., & Rao, K. P. (2008). Machinability issues in turning of Al-SiC (10p) metal matrix composites. The International Journal of Advanced Manufacturing Technology, 39(3-4), 211-218
  3. Niknam, S. A., Kamalizadeh, S., Asgari, A., & Balazinski, M. (2018). Turning titanium metal matrix composites (Ti-MMCs) with carbide and CBN inserts. The International Journal of Advanced Manufacturing Technology, 97(1-4), 253-265
  4. Dandekar, C. R., & Shin, Y. C. (2012). Modeling of machining of composite materials: A review. International Journal of Machine tools and manufacture, 57, 102-121
  5. Thakur, D., Ramamoorthy, B., & Vijayaraghavan, L. (2009). Optimization of high speed turning parameters of superalloy Inconel 718 material using Taguchi technique
  6. Yang, W. P., & Tarng, Y. S. (1998). Design optimization of cutting parameters for turning operations based on the Taguchi method. Journal of materials processing technology, 84(1-3), 122-129
  7. Zuperl, U., Cus, F., & Milfelner, M. (2005). Fuzzy control strategy for an adaptive force control in end-milling. Journal of Materials Processing Technology, 164, 1472-1478
  8. KKadirgama., Noor, M. M., & Rahman, M. M. (2012). Optimization of surface roughness in end milling using potential support vector machine. Arabian Journal for Science and Engineering, 37(8), 2269-2275
  9. Reddy, V. V., Krishna, M. G., Kumar, K. P., Kishore, B. N., Rao, J. B., & Bhargava, N. R. M. R. (2018, February). Studies on microstructure and mechanical behaviour of A7075-Flyash/SiC hybrid metal matrix composites. In IOP Conference Series: Materials Science and Engineering (Vol. 310, No. 1, p. 012047). IOP Publishing
  10. Narayanan, N. S., Baskar, N., Ganesan, M., Jenarthanan, M. P., & Praveen, S. (2019). Evaluation and Optimization of Surface Roughness and Metal Removal Rate Through RSM, GRA, and TOPSIS Techniques in Turning PTFE Polymers. In Advances in Manufacturing Technology (pp. 595-605). Springer, Singapore
  11. Karthik, S., Prakash, K. S., Gopal, P. M., & Jothi, S. (2019). Influence of materials and machining parameters on WEDM of Al/AlCoCrFeNiMo0. 5 MMC. Materials and Manufacturing Processes, 34(7), 759-768
  12. Athawale, V. M., & Chakraborty, S. (2010, January). A TOPSIS method-based approach to machine tool se