Investigating the Effect of Cutting Parameters of Ti–6Al–4V on Surface Roughness Based on a SPH Cutting Model
This work establishes a 2D numerical model to simulate the cutting process of workpieces made of Ti–6Al–4V, by applying an improved Smoothed Particle Hydrodynamics algorithm together with a modified constitutive model based on the Johnson–Cook model known as Hyperbolic Tangent (TANH). The location i...
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| Published in | Applied sciences Vol. 9; no. 4; p. 654 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
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MDPI AG
15.02.2019
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| ISSN | 2076-3417 2076-3417 |
| DOI | 10.3390/app9040654 |
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| Abstract | This work establishes a 2D numerical model to simulate the cutting process of workpieces made of Ti–6Al–4V, by applying an improved Smoothed Particle Hydrodynamics algorithm together with a modified constitutive model based on the Johnson–Cook model known as Hyperbolic Tangent (TANH). The location information of the surface particles obtained by the SPH cutting model are used to evaluate the variation trend of surface roughness with different parameters. Parameters that affect the surface roughness are investigated in detail by using the Taguchi method and the SPH cutting model. The present work provides an efficient and cost-effective approach to determine the optimal parameters for cutting processes for Ti–6AL–4V workpieces, through computer simulations in virtual environments, instead of expensive and time-consuming cutting experiments using actual workpieces. |
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| AbstractList | This work establishes a 2D numerical model to simulate the cutting process of workpieces made of Ti–6Al–4V, by applying an improved Smoothed Particle Hydrodynamics algorithm together with a modified constitutive model based on the Johnson–Cook model known as Hyperbolic Tangent (TANH). The location information of the surface particles obtained by the SPH cutting model are used to evaluate the variation trend of surface roughness with different parameters. Parameters that affect the surface roughness are investigated in detail by using the Taguchi method and the SPH cutting model. The present work provides an efficient and cost-effective approach to determine the optimal parameters for cutting processes for Ti–6AL–4V workpieces, through computer simulations in virtual environments, instead of expensive and time-consuming cutting experiments using actual workpieces. Surface roughness, as an effective measure to evaluate the quality of a surface, is affected by different settings of cutting parameters such as different cutting speed, rake angle and feed [1]. [...]investigation of the effects and subsequent optimization of the cutting parameters on surface roughness is crucial and, currently, the Taguchi method is one of the most popular methods used. [...]an optimal set of cutting parameters is found to achieve the lowest surface roughness. Compared with FEM, its adaptivity can be obtained at the early stage of approximation of field variables, and its formula is not affected by the distribution of particles. [...]SPH is capable of handling large deformation, which always occurs during the cutting process, and at the same time, naturally simulates the process of chip separation. [...]an improved SPH algorithm is adopted through adding modified schemes for approximating density (density correction) and kernel gradient approximation (kernel gradient correction) in this work, which has been proven to be very efficient in improving the accuracy of a cutting model [15]. Since the traditional SPH cannot exactly reproduce linear functions in the entire problem domain, in its initial form particle summation formulation, the SPH does not exactly reproduce a constant near the boundary because of the loss of symmetry in the smoothing operation. This work establishes a 2D numerical model to simulate the cutting process of workpieces made of Ti⁻6Al⁻4V, by applying an improved Smoothed Particle Hydrodynamics algorithm together with a modified constitutive model based on the Johnson⁻Cook model known as Hyperbolic Tangent (TANH). The location information of the surface particles obtained by the SPH cutting model are used to evaluate the variation trend of surface roughness with different parameters. Parameters that affect the surface roughness are investigated in detail by using the Taguchi method and the SPH cutting model. The present work provides an efficient and cost-effective approach to determine the optimal parameters for cutting processes for Ti⁻6AL⁻4V workpieces, through computer simulations in virtual environments, instead of expensive and time-consuming cutting experiments using actual workpieces. |
| Author | Niu, Weilong Chang, Zhiyong Mo, Rong Wan, Neng |
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| Snippet | This work establishes a 2D numerical model to simulate the cutting process of workpieces made of Ti–6Al–4V, by applying an improved Smoothed Particle... Surface roughness, as an effective measure to evaluate the quality of a surface, is affected by different settings of cutting parameters such as different... This work establishes a 2D numerical model to simulate the cutting process of workpieces made of Ti⁻6Al⁻4V, by applying an improved Smoothed Particle... |
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| SubjectTerms | Algorithms Experiments hyperbolic tangent Mechanical properties smoothed particle hydrodynamics surface roughness taguchi method Taguchi methods Titanium alloys Ti–6Al–4V Variance analysis |
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| Title | Investigating the Effect of Cutting Parameters of Ti–6Al–4V on Surface Roughness Based on a SPH Cutting Model |
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