Experimental Study on Intermittent Turning 2.25Cr-1Mo-0.25V Steel with Coated Cemented Carbide Tool

Liu, Han Lian; Lv, Xiang Hong; Huang, Chuan Zhen; Zhu, Hong Tao

doi:10.4028/www.scientific.net/amr.500.128

Cited by 5 publications

(5 citation statements)

References 3 publications

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“…Each of the four input parameters (Vc, r, ap, and f) was varied thrice (Table 3), enabling us to construct the experimental matrix for the Taguchi L9 design (Table 4). All selected operational conditions for conducting the experiments are organized in Table (5).…”

Section: Design Of Experiments (Doe)mentioning

confidence: 99%

“…In another similar study, H.L. Liu et al [5] presented empirical models of parameters (MRR) and (Fz) in relation to factors (Vc), (ap), and (f) after conducting experiments in (IT) of 2.25Cr-1Mo-0.25V material using (GC4235) cutting tool. They found that the primary wear mechanisms at low cutting speeds are abrasive wear and chipping, whereas coating delamination and adhesive wear are predominant in high cutting speed cases.…”

Section: Introductionmentioning

confidence: 99%

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Assessment of performance parameters in intermittent turning and multi-response optimization of machining conditions using DF, MOORA, VIKOR, and coupled NSGAII-VIKOR methods

Khelfaoui,

Yallese,

Boucherit

et al. 2024

Int J Adv Manuf Technol

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The objective of this study is to evaluate the influence of input factors such as cutting speed (Vc), depth of cut (ap), feed rate (f), and tool nose radius (r) during intermittent turning (IT) of AISI D3 tool steel. Eight (08) output parameters were considered: motor power (Pm), cutting temperature (Ct), flank wear (VB), material removal rate (MRR), surface roughness (Ra), cutting force (Fz), tangential vibration (Az), and sound intensity (Lp). The experiments were conducted using the Taguchi L9 (3^4) design with a triple-coated CVD carbide tool. A statistical analysis based on ANOVA was performed to quantify the effects of cutting factors on the output parameters. Processing the results using the RSM method enabled the development of mathematical models for different outputs, facilitating predictions. Finally, four (04) multi-objective optimization approaches were employed: DF, MOORA, VIKOR, and NSGA-II coupled with VIKOR, aiming to determine the optimal combination of cutting conditions. The four methods were analyzed and compared. The results obtained indicate that the DF approach suggests the best combination of inputs leading to the minimization of six (06) outputs (Ra, Pm, Ct, VB, Fz, and Lp). The MOORA approach emphasizes the minimization of vibrations (Az), while VIKOR yielded five outputs (Pm, VB, Ct, MRR, and Lp) that are better compared to the MOORA approach. The NSGA-II coupled with VIKOR approach exhibited the best productivity values (MRR).

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Section: Design Of Experiments (Doe)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Assessment of performance parameters in intermittent turning and multi-response optimization of machining conditions using DF, MOORA, VIKOR, and coupled NSGAII-VIKOR methods

Khelfaoui,

Yallese,

Boucherit

et al. 2024

Int J Adv Manuf Technol

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show abstract

“…In addition, the study revealed that the performance of the tool (GC4235) is superior to that of the tool (YT5). The cutting performance of a quadrate (GC4235) coated carbide tool in IT of 2.25Cr1Mo0.25V material was investigated by Liu et al [5]. There have been proposed empirical models of the parameters (MRR) and (Fz) as a function of the factors (Vc), (ap), and (f).…”

Section: Introductionmentioning

confidence: 99%

Minimizing Tool Wear, Cutting Temperature and Surface Roughness in the Intermittent Turning of AISI D3 Steel Using the DF and GRA Method

Khelfaoui¹,

Yallese²,

Boucherit³

et al. 2023

Tribol. Ind.

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Intermittent turning (IT) is characterized by a different context than continuous turning (CT). The cutting tool is shocked each time it goes off-load and engages a new surface. This interruption causes severe cutting conditions, which fatally affect the performance parameters. The purpose of this study is to assess the effects of four cutting factors, tool nose radius (r), cutting speed (Vc), feed rate (f), and depth of cut (ap), on the following output performance parameters: surface roughness (Ra), cutting temperature (T°), and cutting tool wear (VB) during turning (IT) AISI D3 cold work tool steel. A triple CVD (AI2O3/TiC/TiCN)-coated carbide cutting tool was used. A Taguchi L9 (3^4) experimental design was adopted for carrying out the experiments in intermittent turning. To improve the performance parameters based on three (3) highly particular scenarios that fulfill industrial criteria, the desirability function (DF) and the grey relational analysis method (GRA) were used. Finally, the optimization findings of the two strategies were compared in order to evaluate the performance of each method.

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“…The obtained results showed that the tool performance GC4235 is superior to the tool YT5. Liu et al [7] conducted experiments in IT on 2.25Cr-1Mo-0.25V material with a coated carbide tool GC4235. Empirical models of MRR and Fz parameters as a function of Vc, ap, and f were proposed.…”

Section: Introductionmentioning

confidence: 99%

Statistical analysis, modeling and multi-objective optimization of parameters intermittent turning process of AISI D3

Khelfaoui

Yallese

Ouelaa

et al. 2023

JMES

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Intermittent machining is characterized by its complex and irregular context. This intermittency causes machining to occur under difficult conditions that greatly influence the technological performance parameters. The aim of the present work is to evaluate the effects of input parameters, cutting speed, Vc, depth of cut, ap, tool nose radius, r and feed rate, f, on surface roughness, Ra, tangential cutting force, Fz, motor power consumption, Pm, cutting power, Pc and material removal rate (MRR), during intermittent turning (IT) of AISI D3 tool steel. Machining was performed with a triple CVD coated carbide tool (AI2O3/TiC/TiCN) by adopting a Taguchi L9 (3^4) experimental design. The ANOVA and RSM methods were used to analyze the effects of cutting factors on the outputs parameters resulting in statistical prediction models. In addition, a multi-objective optimization of the cutting conditions exploiting the desirability function (DF) was done according to four cases of relative importance corresponding to different industrial contexts. Furthermore, the grey relational analysis (GRA) method was applied and compared with the DF method. The results show that the optimal regime found by the DF method, (r =1.6mm, Vc= 240 m/min, f = 0.084 mm/rev and ap = 0.64 mm), favors Ra and MRR. On the other hand, for the GRA method, the combination of (r = 0.4 mm, Vc = 240 m/min f = 0.08 mm/rev and ap = 0.3 mm) favors the minimization of Fz, Pm and Pc. This work presents an originality because the results found are very useful in the field of optimization for a better control of the process IT.

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Experimental Study on Intermittent Turning 2.25Cr-1Mo-0.25V Steel with Coated Cemented Carbide Tool

Cited by 5 publications

References 3 publications

Assessment of performance parameters in intermittent turning and multi-response optimization of machining conditions using DF, MOORA, VIKOR, and coupled NSGAII-VIKOR methods

Assessment of performance parameters in intermittent turning and multi-response optimization of machining conditions using DF, MOORA, VIKOR, and coupled NSGAII-VIKOR methods

Minimizing Tool Wear, Cutting Temperature and Surface Roughness in the Intermittent Turning of AISI D3 Steel Using the DF and GRA Method

Statistical analysis, modeling and multi-objective optimization of parameters intermittent turning process of AISI D3

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