Determination of the important machining parameters on the chip shape classification by adaptive neuro-fuzzy technique

Jović, Srđan; Arsić, Nebojša; Vukojević, Vukoje; Aničić, Obrad; Vujičić, Slađana

doi:10.1016/j.precisioneng.2016.11.001

Cited by 8 publications

(4 citation statements)

References 24 publications

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“…However, this model provides inaccurate results because the thermal penetration depth exceeds sheet thickness. Mulay et al [19,20] proposed a strain energy-based approach for sheet materials with different thermal conductivity. This model was validated for AISI 304 steel sheets and AA1100 alloy sheets.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Bending Angle of Ti6Al4V Alloy Sheets Formed Using Multiple Laser Irradiation

Mulay,

Paliwal,

Babu

2024

Preprint

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This study proposes a model to predict the bending angle of Ti6Al4V alloy sheets formed using multiple laser irradiation. The model uses the 1D heat transfer equation to calculate the temperature along the sheet thickness direction by considering the conductive losses. Based on this temperature, the thermal strains and stresses induced along the sheet's thickness are estimated. Finally, the bending angle of the sheet is calculated by balancing the strain energies induced by stress, strain, and the bending moment. For the subsequent irradiation, the temperature dependent properties of Ti6Al4V alloy were updated based on the initial temperature of sheet. The experimental and predicted bending angle results were compared for Ti6Al4V alloy sheets of varying thicknesses. The proposed model predicts the bending angle with an average percentage error of 8.86% for 2 mm thick Ti6Al4V alloy sheet.

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Section: Introductionmentioning

confidence: 99%

Prediction of Bending Angle of Ti6Al4V Alloy Sheets Formed Using Multiple Laser Irradiation

Mulay,

Paliwal,

Babu

2024

Preprint

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“…It is an important influence on the type of chip produced and the machining process [10,11]. During the cutting process, the formation of long chips may interfere with the machine tool, workpiece and tool, and may cause harmful effects in the material removal process and the quality of the part [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Chip Morphology in Turning of AZ91D Magnesium Alloy under Different Machining Conditions

Çağan

Buldum

Özkul

2019

Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi

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In recent years, there has been an increase in research into industrial applications, especially in the machining of lightweight metals. In this study, the effect of processing of AZ91D magnesium alloy in different parameters (machining medium, cutting speed, depth of cut, feed rate and cutting tool types) on the force, chip formation and cutting tool conditions were investigated. The experiments were designed using the L18 orthogonal array of the Taguchi method. Thanks to the Taguchi method, time and cost savings were achieved by reducing the number of tests required. Then, the effect of the turning parameters on the force values was obtained by analysis of variance. The most important parameters affecting the force values were the depth of cut and the feed rate. As a result, only the cutting speed has a significant effect on the chip type. Farklı İşleme Koşullarında AZ91D Magnezyum Alaşımının Tornalanmasında Talaş MorfolojisiAnahtar Kelimeler Talaş oluşumu, AZ91D, Magnezyum alaşımı, Tornalama işlemi Özet: Son yıllarda, özellikle hafif metallerin işlenmesinde ve bu metallerin endüstride uygulamalarına yönelik araştırmalarda önemli ölçüde artış olmuştur. Bu çalışmada, AZ91D magnezyum alaşımı farklı parametrelerde (işleme ortamı, kesme hızı, kesme derinliği, ilerleme oranı ve kesici takım tiplerine) işlenmesi sonrasında kuvvet, talaş tipleri ve kesici takım durumları incelenmiştir. Deneyler, Taguchi metodunun L18 ortogonal dizini kullanılarak tasarlanmıştır. Taguchi metodu sayesinde yapılması gereken deney sayısı azaltılarak zaman ve maliyet tasarrufu sağlanmıştır. Ardından varyans analizi yapılarak tornalama parametrelerinin kuvvet değerlerine olan etkisi elde edilmiştir. Varyans analizi sonuçlarından kuvvet değerlerini etkileyen en önemli parametrelerin kesme derinliği ve ilerleme oranı olduğu belirlenmiştir. Sonuç olarak, yalnızca kesme hızının talaş tipinde önemli bir etkisinin olduğu görülmüştür.

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“…Presently, a number of multi-criteria decision making techniques integrated with fuzzy-logic have become quite popular for decision making in various fields of manufacturing. Jović et al [17] applied adaptive neuro-fuzzy technique (ANFIS) to determine the most influencing input parameter in straight turning of mild steel (A500 / A500M-13) and AISI 304 stainless steel in order to monitor the chip shapes. Julong [18] introduced grey system which emerges to be a powerful tool in the field of optimization that deals with incomplete, poor and vague data.…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimization of Wire Electro Discharge Machining (WEDM) Process Parameters Using Grey-Fuzzy Approach

Das

Diyaley

Chakraborty

et al. 2018

Period. Polytech. Mech. Eng.

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Wire electro discharge machining (WEDM) is a versatile non-traditional machining process that is extensively in use to machine the components having intricate profiles and shapes. In WEDM, it is very important to select the optimal process parameters so as to enhance the machine performance. This paper emphasizes the selection of optimal parametric combination of WEDM process while machining on EN31 steel, using grey-fuzzy logic technique. Process parameters such as servo voltage, wire tension, pulse-on-time and pulse-off-time were considered while taking into account several multi-responses such as material removal rate (MRR) and surface roughness (SR). It was found that pulse-on-time of 115 µs, pulse-off-time of 35 µs, servo voltage of 40 V and wire tension of 5 kgf results in a larger value of grey fuzzy reasoning grade (GFRG) which tends to maximize MRR and improve SR. Finally, analysis of variance (ANOVA) is applied to check the influence of each process parameters in the estimation of GFRG.

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Determination of the important machining parameters on the chip shape classification by adaptive neuro-fuzzy technique

Cited by 8 publications

References 24 publications

Prediction of Bending Angle of Ti6Al4V Alloy Sheets Formed Using Multiple Laser Irradiation

Prediction of Bending Angle of Ti6Al4V Alloy Sheets Formed Using Multiple Laser Irradiation

Chip Morphology in Turning of AZ91D Magnesium Alloy under Different Machining Conditions

Multi-Objective Optimization of Wire Electro Discharge Machining (WEDM) Process Parameters Using Grey-Fuzzy Approach

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