Simulation Approach for Surface Roughness Interval Prediction in Finish Turning

Sung, Aun Naa; Loh, Wei Ping; Ratnam, Mani Maran

doi:10.2507/ijsimm15(1)4.320

Cited by 14 publications

(6 citation statements)

References 28 publications

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“…Due to the existence of tool edge waviness on the cutting tool edge, deviations between the circular arc surface topography and the actual surface topography are unavoidable. For instance, Sung et al once adopted a high-resolution optical system to capture the image of an active tool nose profile, and their investigations show that the deviation of the tool nose profile, i.e., the tool edge waviness, alone can cause the surface roughness to vary in a large extent [26,27]. As shown in Figure 2a, the hollow square is the simulated peak-valley surface roughness R t with consideration of tool edge waviness; and the straight line is the nominal peak-valley surface roughness R t = f 2 /8 r ε without consideration of tool edge waviness.…”

Section: Theoretical Modelsmentioning

confidence: 99%

Influencing Factors and Theoretical Models for the Surface Topography in Diamond Turning Process: A Review

Zong

2019

Micromachines

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In this work, the influencing factors and corresponding theoretical models for the surface topography in diamond turning process are reviewed. The surface profile on one tool feed is the elementary unit of surface topography. The influences coupled with the models of the duplication effect of the tool edge profile, material spring back, and plastic side flow are outlined in this part. In light of the surface profile on one tool feed and “trim principle”, the modeling methods of surface topography along the radial direction (2D surface topography) are commented. Moreover, the influence of the vibration between the diamond tool and workpiece on the 2D surface topography is discussed, and the theoretical models are summarized. Finally, the issues for modeling of 3D surface topography, particularly the influences of material defects, are analyzed. According to the state-of-the-art surface topography model of the diamond turned component, future work in this field is therefore predicted.

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Section: Theoretical Modelsmentioning

confidence: 99%

Influencing Factors and Theoretical Models for the Surface Topography in Diamond Turning Process: A Review

Zong

2019

Micromachines

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“…Major significant indicator of surface quality is surface roughness [6,7]. It is well-known that by increasing the tool tip radius rε, the quality of machined surface increases.…”

Section: Cutting By Straight Cutting Edgementioning

confidence: 99%

Machining of Wood as a Natural Composite Material

2019

Teh. vjesn.

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In the paper, the wood as natural fibre-layered composite is used to study the principles of effect in machining of such composites and provide the suggestion how to eliminate the unwanted effects in composite material cutting. The suggestion is not in special tool geometry, cutting tool material, toolpath strategy etc. but is based on basically different principle of machining. The actual research in cutting of composites is focused on orthogonal cutting as 2D process. We have to take into account the 3D behaviour of chip forming, as the workpiece material is non-homogeneous and directionally oriented. Thus, we studied the idea of so-called free cutting or cutting by straight cutting edge. The principles of such cutting were tested on wood as natural fibre-layered composite and the results are presented in the paper.

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“…A large amount of different problems in the field of steel casting, forming, and batch planning in steel industry were studied so far by the use of evolutionary computation methods including genetic programming, e.g. [26][27][28][29][30].…”

Section: Genetic Programming Modellingmentioning

confidence: 99%

Reduction of Surface Defects and Optimization of Continuous Casting of 70MnVS4 Steel

Kovačić¹,

Brezočnik²

2018

Int. j. simul. model.

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High-strength steel 70MnVS4 is often used for forging connecting rods in the automotive industry.Connecting rod performance depends also on surface quality. Several defects, including surface defects, originate from the continuous casting process. The paper presents the monitoring of the most influential parameters (casting temperature, type of mould steel jacket, casting speed, water flux in the mould and the difference between input and output water temperature in the mould) during continuous casting of 70MnVS4 steel. Also the results of surface control of the rolled material (automatic control line) were collected. Using the gathered data, the model for predicting the ratio between material with surface defects and the examined material was developed using linear regression and genetic programming. Based on modelling results, only one type of mould steel jacket was used, while casting speed and mould water flow were increased from 1.13 m/min to 1.18 m/min and from 1300 l/min to 1500 l/min, respectively. In the period from January 2015 to October 2018 the scrap rate of 70MnVS4 and overall scrap rate was reduced by 22.29 % and 18.04 %, respectively.

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Simulation Approach for Surface Roughness Interval Prediction in Finish Turning

Cited by 14 publications

References 28 publications

Influencing Factors and Theoretical Models for the Surface Topography in Diamond Turning Process: A Review

Influencing Factors and Theoretical Models for the Surface Topography in Diamond Turning Process: A Review

Machining of Wood as a Natural Composite Material

Reduction of Surface Defects and Optimization of Continuous Casting of 70MnVS4 Steel

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