Optimization of Machining Parameters Using Fuzzy Based Principal Component Analysis during dry turning operation of Inconel 625 – A hybrid approach

Ramanujam, R.; Venkatesan, K.; Saxena, Vimal; Pandey, Rakesh K.; Harsha, T.; Rajyalakshmi, G.

doi:10.1016/j.proeng.2014.12.296

Cited by 31 publications

(11 citation statements)

References 8 publications

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“…Additionally, Inconel may constitute particles of hard abrasives and carbides that results in severe tool wear; and, hence, surface integrity of part component appears dissatisfactory. Thus, Inconel superalloys belong to the category of 'difficult-to-cut' materials [3]. Thus, it seems indeed a great challenge to go for conventional machining on Inconel and that too by conventional cutting.…”

Section: Introductionmentioning

confidence: 99%

Effect of WEDM Process Parameters on Surface Roughness and Waviness of Inconel 603 XL

Manikandan¹,

Kumar²,

Muthukumaran³

et al. 2020

JNMES

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Inconel 603 XL alloys are high-temperature superalloys focused on nickel-chromium that are commonly used in aerospace, maritime, nuclear power generation; pharmaceutical, petrochemical, and process industries. In this work, the effect of process parameters of Wire Electrical Discharge Machining (WEDM) on Inconel 603 XL's surface roughness (SR) and waviness (Wa) was studied. The Taguchi analysis and the Desirability Function Analysis (DFA) carried out single objective optimization and multi-objective optimization. From the mean roughness of the surface and the measurement of waviness, pulse on time is among the other variables most important.

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Section: Introductionmentioning

confidence: 99%

Effect of WEDM Process Parameters on Surface Roughness and Waviness of Inconel 603 XL

Manikandan¹,

Kumar²,

Muthukumaran³

et al. 2020

JNMES

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“…They asserted the benefits of GRA in terms of simplicity and ease of application in the optimum design of any process with multiple-performance characteristics. Indeed, the GRA and fuzzy logic have been implemented to solve a variety of optimization problems, such as optimization of drilling parameters in B 4 C reinforced metal matrix composites (MMCs) (Taskesen and Kütükde [13]), identification of optimal cutting parameters in high-speed end milling (Lu et al [14]), investigation of the machinability in turning process (Sehgal and Meenu [15]; Tzeng et al [16]; Ramanujam et al [17]), multiresponse optimization of mechanical properties in self-healing glass fiber reinforced plastic (Mercy et al [18]), optimization of electric discharge machining process (Lin et al [19]), parameter optimization in grinding (Liu et al [20]), and acquisition of suitable laser welding parameters (Maheswaran et al [21]). These investigations in machining have demonstrated GRA-PCA and fuzzy logic as powerful mathematical tools to analyze any process with multipleperformance characteristics.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Scanning Parameters in Coordinate Metrology Using Grey Relational Analysis and Fuzzy Logic

Mian

Umer

Alkhalefah

2019

Mathematical Problems in Engineering

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The phenomenon of coordinate measuring machines has led to a significant improvement in accuracy, adaptability, and reliability for measurement jobs. The coordinate measuring machines with scanning capabilities provide the alternative to output precise acquisition at a faster rate. However, they are less accurate as compared to discrete probing systems and slower than the noncontact techniques. Therefore, the data acquisition using a scanning touch probe needs improvement, so that it can provide commendable performance both in terms of accuracy and scanning time. The determination of appropriate scanning parameters is crucial to minimize the inaccuracy and time associated with the scanning process. However, it can be demanding as well as unreliable owing to the presence of uncertainty from a multitude of factors that may influence the measurement process. The optimization of data acquisition using a scanning touch probe is a multiresponse process which involves definite uncertainties from various sources. Therefore, multioptimization tools based on grey relational analysis coupled with principal component analysis and fuzzy logic were employed to enhance the utilization of the scanning touch probe. The work described here has the objective to identify the appropriate combination of scanning factors which can simultaneously boost the accuracy and lessen the scanning time. This study demonstrates the capability and effectiveness of the uncertainty theory based optimization methods in coordinate metrology. It also suggests that the uncertainty associated with the parameter optimization can be significantly reduced using these techniques. It has also been noticed that the results from the two techniques are in accord, which corroborates their application in coordinate metrology. The result from this study can be applied to other probing systems and can be broadened to include more experiments and parameters in various scenarios as needed by the specific application.

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“…Ramanujam ve ark. [6] üç farklı kesme hızı, üç farklı ilerleme ve üç farklı kesme derinliğini kullanarak Inconel 625'i tornalamışlardır. İşleme çıktısı olarak yüzey pürüzlülüğü, enerji tüketimi ve metal boşaltma oranını tercih eden araştırmacılar, deney sonuçlarının tahmini için Taguchi ve bulanık mantık yönteminin kullanmışlardır.…”

Section: Introductionunclassified

Effect of Nanofluid on Cutting Temperature in Turning of Inconel 625 with Ceramic Tools

Yıldırım¹

2019

acperpro

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Özet:Klasik kesme sıvılarının çevre, işçi sağlığı ve üretim maliyetleri üzerinde olumsuz etkileri vardır. Bu nedenle, günümüzde araştırmacılar ve işletmeler, üretim verimini düşürmeden kesme sıvısı miktarını azaltmak için yoğun bir çaba içerisindedirler. Bu çalışmada, bu amaca hizmet etmek için bazı soğutma/yağlama stratejileri denenmiştir. Bir başka deyişle, içerisinde hacimce %0.5 nano Al2O3 katkı maddesi içeren nano kesme sıvısı, saf Minimum Miktarda Yağlama (MMY) ve kuru işlemeyle karşılaştırılmıştır. Ayrıca, soğutma/yağlama yöntemlerinin farklı kesme parametreleri altındaki davranışları merak edildiğinden üç farklı kesme hızı (120, 160, 200 m/dak) ve üç farklı ilerleme (0.05, 0.1, 0.15 mm/dev) seçilmiştir. Deney sayısının belirlenmesinde Taguchi L9 dikey dizini tercih edilmiştir. Optimum parametrelerin belirlenmesinde Sinyal/Gürültü (S/N) etkili olmuştur. Ayrıca, parametrelerin etki düzeylerinin belirlenmesi için ANOVA analizi yapılmıştır. Deney sonuçlarının analizi sonrasında optimum kesme sıcaklığı hacimce %0.5 Al2O3 içeren bitkisel esaslı kesme yağı, 120 m/dak kesme hızı ve 0.05 mm/dev ilerleme değeri kombinasyonuyla elde edilmiştir. Abstract:Conventional cutting fluids have an adverse effect on the environment, worker health and production costs. For this reason, researchers and businesses are now working hard to reduce the amount of cutting fluid without reducing production efficiency. In this study, some cooling/lubrication strategies have been tried to serve this purpose. In other words, the nanofluid containing 0.5% by volume nano Al2O3 additive was compared with pure Minimum Quantity Lubrication (MQL) and dry processing. In addition, three different cutting speeds (120, 160, 200 m/min) and three different feeds (0.05, 0.1, 0.15 mm/rev) were chosen, as the behavior of the cooling/lubrication methods under different cutting parameters was wondered. The Taguchi L9 vertical index was preferred for determining the number of experiments. Signal/Noise (S/N) ratio was effective in determining the optimum parameters. In addition, ANOVA analysis was performed to determine the effect levels of the parameters. After the analysis of the test results, the optimum cutting temperature was obtained with a combination of vegetable based cutting oil containing 0.5vol% Al2O3, cutting speed of 120 m/min and feed rate of 0.05 mm/rev.

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Optimization of Machining Parameters Using Fuzzy Based Principal Component Analysis during dry turning operation of Inconel 625 – A hybrid approach

Cited by 31 publications

References 8 publications

Effect of WEDM Process Parameters on Surface Roughness and Waviness of Inconel 603 XL

Effect of WEDM Process Parameters on Surface Roughness and Waviness of Inconel 603 XL

Optimization of Scanning Parameters in Coordinate Metrology Using Grey Relational Analysis and Fuzzy Logic

Effect of Nanofluid on Cutting Temperature in Turning of Inconel 625 with Ceramic Tools

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