Study on mechanism of chip formation during high-speed milling of alloy cast iron

Yang, Ying; Li, J. F.

doi:10.1007/s00170-009-2064-1

Cited by 17 publications

(9 citation statements)

References 9 publications

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“…Soltani (2014) discussed about reliability optimization including redundancy allocation, reliability allocation and reliability redundancy allocation. Yang and Li (2010) provided a useful understanding of chip formation process and also helped in optimizing machining parameters and process of high speed milling of alloy cast iron. Sakalli et al (2011) proposed a chance-constrained stochastic programing approach for the blending problem in the brass casting industry to handle the statistical variation in raw material.…”

Section: Introductionmentioning

confidence: 99%

Sensitivity analysis for casting process under stochastic modelling

Kumar¹

2015

10.5267/j.ijiec

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The present paper studies the reliability analysis of the casting process in foundry work using a probabilistic approach. As foundry industries in many developing countries suffer from poor quality of casting due to improper management, lack of resources and wrong working methods followed, which results in the decrement of productivity. Hence, to ensure the quality and productivity, favorable steps must be taken. The considered casting system has four main types of defects; namely mold shift, shrinkage, cold shut and blowholes. The complete casting system can fail due to the misalignment of the mold and combination of defects such as shrinkage and blow holes and can also fail by defects of shrinkage, blow holes and cold shut, simultaneously. The system is analyzed with the help of the supplementary variable technique and Laplace transformation. The availability, reliability, mean time to failure, sensitivity analysis and costeffectiveness have been evaluated for the considered system. The results have been shown with the help of graphs, which predicts the behavior of the casting process system when any one of the defect or more than one defect appears.

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Section: Introductionmentioning

confidence: 99%

Sensitivity analysis for casting process under stochastic modelling

Kumar¹

2015

10.5267/j.ijiec

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“…As a result of coalescence of these voids, the cracks are propagated forming saw-tooth appearance of the chips. Dual actions of thermoplastic instability and plastic instability may be one more cause of saw-tooth chip formation (Yang & Li, 2010). Semi continuous chip forms are due to reduced ductility of the composite material for SiC reinforcement.…”

Section: Experimentation and Measurementmentioning

confidence: 99%

Machining performance of aluminium matrix composite and use of WPCA based Taguchi technique for multiple response optimization

Das¹,

Mishra²,

Singh³

et al. 2018

10.5267/j.ijiec

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Silicon carbide (SiC) particulate impregnated Al 7075 matrix composite was fabricated by stir casting method and then heat treated to T6 condition. It was then machined with multiple layer of TiN coated tungsten carbide (WC) inserts in dry environment and pollution free Spray Impingement Cooling (SIC) environment to compare the machining performance. SIC environment presented better machining performance with respect to cutting tool temperature (T), average roughness of the machined surface (Ra) and tool flank wear (VBc). Quadratic response surface models were developed by computing the experimental data. Weighted Principal Component Analysis (WPCA) based Taguchi technique was adopted to optimize the multiple responses simultaneously, which resulted 40 m/min of cutting speed (V), 0.05 mm/rev of feed (f) and 0.2 mm of cutting depth (d) was the optimal combination of process parameters.

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“…The cutting mechanism of metals is studied by considering the interaction between a workpiece and tool in the cutting process and various thermal-mechanical behaviors occurring in the cutting process, such as chip shape, cutting force, cutting temperature, residual stress, and tool wear. To investigate the cutting of cast iron, many scholars have worked to reveal the cutting mechanism of cast iron [3][4][5][6][7][8]. Yang and Li [3] investigated the formation mechanism of chips in the high-speed milling process of cast iron.…”

Section: Introductionmentioning

confidence: 99%

“…To investigate the cutting of cast iron, many scholars have worked to reveal the cutting mechanism of cast iron [3][4][5][6][7][8]. Yang and Li [3] investigated the formation mechanism of chips in the high-speed milling process of cast iron. Oliveira et al [4] used the continuous and interrupted cutting with two grades of polycrystalline cubic boron nitride (PCBN) tools to analyze cutting performance during the turning process of white cast iron.…”

Section: Introductionmentioning

confidence: 99%

Establish Using FEM Method of Constitutive Model for Chip Formation in the Cutting Process of Gray Cast Iron

Shi

2019

Metals

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The constitutive equation of mechanics, namely the stress–strain model of the material, is used to describe the mathematical expression of the mechanical properties of the material (stress–strain–intensity–time relationship). In the cutting simulation of metals, the material constitutive model needs to be established. To study the cutting mechanism of gray cast iron using the finite element method (FEM), a series of split Hopkinson press bar (SHPB) tests are carried out to achieve the stress–strain curves of gray cast iron under different strain rates and temperatures. In the cutting simulation of gray cast iron, the Johnson–Cook (JC) constitutive equation is used to reflect the mechanical behavior during the cutting process. The calculation of JC constants is analyzed deeply and obtained from the SHPB test data. One orthogonal finite element model is developed with the JC material model to reveal the cutting mechanism of gray cast iron. The chip formation, stress distribution, temperature distribution, and cutting force are investigated through the cutting simulation. At the same time, cutting experiments of gray cast iron are carried out for validating the simulation results. The results of the cutting simulation and experiments show a good agreement.

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Study on mechanism of chip formation during high-speed milling of alloy cast iron

Cited by 17 publications

References 9 publications

Sensitivity analysis for casting process under stochastic modelling

Sensitivity analysis for casting process under stochastic modelling

Machining performance of aluminium matrix composite and use of WPCA based Taguchi technique for multiple response optimization

Establish Using FEM Method of Constitutive Model for Chip Formation in the Cutting Process of Gray Cast Iron

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