Improvement of algorithm and prediction precision of an extended Oxley’s theoretical model

Xiong, Liangshan; Wang, Jie; Gan, Yingye; Li, Bin; Fang, Ning

doi:10.1007/s00170-014-6361-y

Cited by 25 publications

(26 citation statements)

References 16 publications

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“…On the other hand, the proposed method did not need this assumption for the temperature prediction. The other heat partition ratio ( , = + ∆ + ∆ ), used in calculating the temperature in the SSZ, was taken as 0.75, based on Xiong's study [43]. This value was reported for their successful temperature prediction in the SSZ.…”

Section: Resultsmentioning

confidence: 99%

Prediction of Temperature Distribution in Orthogonal Machining Based on the Mechanics of the Cutting Process Using a Constitutive Model

Ning

Liang

2018

JMMP

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This paper presents an original method of predicting temperature distribution in orthogonal machining based on a constitutive model of various materials and the mechanics of their cutting process. Currently, temperature distribution is commonly investigated using arduous experiments, computationally inefficient numerical analyses, and complex analytical models. In the method proposed herein, the average temperatures at the primary shear zone (PSZ) and the secondary shear zone (SSZ) were determined for various materials, based on a constitutive model and a chip-formation model using measurements of cutting force and chip thickness. The temperatures were determined when differences between predicted shear stresses using the Johnson-Cook constitutive model (J-C model) and those using a chip-formation model were minimal. J-C model constants from split Hopkinson pressure bar (SHPB) tests were adopted from the literature. Cutting conditions, experimental cutting force, and chip thickness were used to predict the shear stresses. The temperature predictions were compared to documented results in the literature for AISI 1045 steel and Al 6082-T6 aluminum in multiple tests in an effort to validate this methodology. Good agreement was observed for the tests with each material. Thanks to the reliable and easily measurable cutting forces and chip thicknesses, and the simple forms of the employed models, the presented methodology has less experimental complexity, less mathematical complexity, and high computational efficiency.

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Section: Resultsmentioning

confidence: 99%

Prediction of Temperature Distribution in Orthogonal Machining Based on the Mechanics of the Cutting Process Using a Constitutive Model

Ning

Liang

2018

JMMP

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“…Xiong vd [12] sıcaklık faktörlerinin (/) tahmin hassasiyeti üzerinde önemli etkiye sahip olduğunu ortaya koymuşlardır. Bu çalışmada, kayma düzlemi sıcaklığını (TAB) hesaplamak için  sıcaklık faktörü deneysel verilerle tahmin edilen sonuçlar karşılaştırılarak belirlenmiştir.…”

Section: Birincil Kayma Bölgesi (Primary Shear Zone)unclassified

“… sıcaklık faktörünü belirlemek için Ivester vd [15] tarafından (12) burada Vc talaş hızıdır, tc ve Vc geometrik ilişkilere göre hesaplanabilir:…”

Section: Birincil Kayma Bölgesi (Primary Shear Zone)unclassified

“…burada AISI 1045 çelik için  sıcaklık faktörü, yukarıda  sıcaklık faktörü için önerilen yönteme benzer bir yaklaşımla deneysel verilerle tahmin edilen sonuçları karşılaştırarak 0.75 olarak belirlenmiştir [12]. Boothroyd [17] talaştaki en büyük sıcaklık artışını Oxley'in iyileştirilen modelinden deneysel verilere daha yakın kesme kuvveti, ilerleme kuvveti ve talaş kalınlığı sonuçları elde edilmiştir.…”

Section: Birincil Kayma Bölgesi (Primary Shear Zone)unclassified

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Oxley modelleme yaklaşımının tahmin doğruluğu ve verimliliğinin arttırılması

Aydın

2017

SAÜ Fen Bilimleri Enstitüsü Dergisi

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ÖZBu çalışmada, kesme kuvvetlerini ve talaş kalınlıklarını daha yüksek doğruluk ve verimlilikle tahmin etmek için genişletilmiş Oxley modelleme yaklaşımının iyileştirilmesi ele alınmıştır. İş parçası malzemesi özellikleri JohnsonCook akış gerilmesi denklemi kullanılarak modellenmiştir. Oxley modelleme yaklaşımının hesaplama verimliliğini artırmak için model parametrelerinin (, C0, ) başlangıç değerlerinin eniyilemesi yapılmıştır. Tahmin doğruluğunu yükseltmek için Oxley modelleme yaklaşımına bir sıcaklık hesaplama yöntemi dahil edilmiştir. Tahmin edilen sonuçlar AISI 1045 çeliği iş parçası üzerinde karbür kesici takımlarla gerçekleştirilen dik kesme testlerinden elde edilen deneysel verilerle karşılaştırılmıştır. Sonuç olarak, genişletilmiş Oxley modelleme yaklaşımının geliştirilen versiyonunun tahminlerinin genişletilmiş orijinal versiyonun sonuçlarına göre deneysel verilerle daha iyi bir uyum içinde olduğu belirlenmiştir.Anahtar Kelimeler: kayma düzlemi, malzeme modeli, Oxley'in modeli, takımtalaş arayüzü, talaşlı imalat Increasing prediction accuracy and efficiency of Oxley modeling approach ABSTRACTIn this paper, the improvement of the extended Oxley modeling approach is considered to predict the cutting forces and chip thicknesses with higher accuracy and efficiency. The workpiece material properties are modeled using the JohnsonCook flow stress equation. The initial values of the model parameters (, C0, ) are optimized to increase the computation efficiency of the Oxley modeling approach. A temperature calculation method is included into the Oxley modeling approach to enhance the prediction accuracy. The predicted results are compared with experimental data obtained from the orthogonal cutting tests performed with carbide cutting tools on AISI 1045 steel workpiece. Finally, it is determined that the predictions of the improved version of the extended Oxley modeling approach are in a better agreement with the experimental data than the results of the extended original version.

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“…Lalwani et al [13] included the JC model into Oxley's theory to estimate the force and temperature intensities with a simpler approach. Xiong et al [14] improved the algorithm of the extended Oxley's model [13] for computing cutting forces, feed forces and chip thicknesses through better accuracy and efficiency.…”

Section: Introductionmentioning

confidence: 99%

Cutting temperature analysis considering the improved Oxley’s predictive machining theory

Aydın

2016

J Braz. Soc. Mech. Sci. Eng.

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Improvement of algorithm and prediction precision of an extended Oxley’s theoretical model

Cited by 25 publications

References 16 publications

Prediction of Temperature Distribution in Orthogonal Machining Based on the Mechanics of the Cutting Process Using a Constitutive Model

Prediction of Temperature Distribution in Orthogonal Machining Based on the Mechanics of the Cutting Process Using a Constitutive Model

Oxley modelleme yaklaşımının tahmin doğruluğu ve verimliliğinin arttırılması

Cutting temperature analysis considering the improved Oxley’s predictive machining theory

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