Modelling and multi-objective optimization of surface roughness and kerf taper angle in abrasive water jet machining of steel

Dumbhare, Parikshit; Dubey, Shikha; Deshpande, Yogesh V.; Andhare, Atul B.; Barve, P. S.

doi:10.1007/s40430-018-1186-5

Cited by 59 publications

(42 citation statements)

References 31 publications

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“…In addition, RSM allows us to generate different contour diagrams or response surfaces from a second order polynomial Equation (1). There are several articles that have implemented this type of equation in order to develop the results obtained in the experiments carried out [31,33,34].…”

Section: Reinforcementmentioning

confidence: 99%

Kerf Taper Defect Minimization Based on Abrasive Waterjet Machining of Low Thickness Thermoplastic Carbon Fiber Composites C/TPU

et al. 2019

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Carbon fiber-reinforced thermoplastics (CFRTPs) are materials of great interest in industry. Like thermosets composite materials, they have an excellent weight/mechanical properties ratio and a high degree of automation in their manufacture and recyclability. However, these materials present difficulties in their machining due to their nature. Their anisotropy, together with their low glass transition temperature, can produce important defects in their machining. A process able to machine these materials correctly by producing very small thermal defects is abrasive waterjet machining. However, the dispersion of the waterjet produces a reduction in kinetic energy, which decreases its cutting capacity. This results in an inherent defect called a kerf taper. Also, machining these materials with reduced thicknesses can increase this defect due to the formation of a damage zone at the beginning of cut due to the abrasive particles. This paper studies the influence of cutting parameters on the kerf taper generated during waterjet machining of a thin-walled thermoplastic composite material (carbon/polyurethane, C/TPU). This influence was studied by means of an ANOVA statistical analysis, and a mathematical model was obtained by means of a response surface methodology (RSM). Kerf taper defect was evaluated using a new image processing methodology, where the initial and final damage zone was separated from the kerf taper defect. Finally, a combination of a hydraulic pressure of 3400 bar with a feed rate of 100 mm/min and an abrasive mass flow of 170 g/min produces the minimum kerf taper angle.

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Section: Reinforcementmentioning

confidence: 99%

Kerf Taper Defect Minimization Based on Abrasive Waterjet Machining of Low Thickness Thermoplastic Carbon Fiber Composites C/TPU

et al. 2019

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“…It is remarkable to determine the factor effects by using the data mean. Under these tables, the factor effects can be observed intuitively [40][41][42]. Table 6 shows that bending temperature (C), bending pressure (D) and cooling rate (E) have extremely important effects on the product residual stress.…”

Section: Orthogonal Experimental Results and Discussionmentioning

confidence: 99%

Multi-objective optimization of glass multi-station bending machining for smartphone curved screen

Chen

Ming

et al. 2019

J Braz. Soc. Mech. Sci. Eng.

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Glass multi-station bending machining (GMBM) is a high-precision and efficient glass processing technique for smartphone curved screen in 3C industry. In this paper, simulation model of the GMBM of smartphone curved screen was researched by using MSC Marc software. The stress relaxation and structural relaxation models of glass material were used in the numerical model to accurately predict the forming process of the glass component. The effects of process parameters of GMBM, namely heating rate (HR), holding time, bending temperature (BT), bending pressure and cooling rate (CR), on the product quality characteristics (residual stress and shape deviation) and energy efficiency were analyzed based on orthogonal experiments. It can be found that the BT, CR and HR have extremely important effects on product residual stress, shape deviation and energy efficiency. Furthermore, a multi-objective optimization method based on NSGA-III (a non-dominant sorting genetic algorithms based on reference points) was applied to efficiently solve the optimization problem between glass product quality and energy efficiency. The optimal parameter schemes with high quality and low energy efficiency were obtained by the Pareto front of multi-objective, and the average prediction errors of the numerical results by the optimized schemes are no more than 20% through confirm experiments. The optimized schemes improve the stability of the process of GMBM, which can deal with the challenge of green manufacturing.

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“…The surface geometry has also been explored [14] to [18]. Due to the dynamics of the abrasive jet of water, the cut kerf results tapered, with unparalleled walls (Fig.…”

Section: • This Research Proved That Machining Hardox Steels By Abrasmentioning

confidence: 99%

“…2), the dimension on the face where the cutting jet enters the material (EN_D) is higher than the one obtained at the surface where the cutting jet exits the material (EX_D). This phenomenon was mathematically modelled by both scientific research [14] and [15] and equipment manufacturers who attempted to compensate it by using a so-called "dynamic jet" [1] and [3]. However, the phenomenon remains when the equipment has a usual cutting head without dynamic tilting of the waterjet.…”

Section: • This Research Proved That Machining Hardox Steels By Abrasmentioning

confidence: 99%

Research on Surface Roughness of Hardox Steels Parts Machined by Abrasive Waterjet

Filip¹,

Morariu²,

Mihail³

et al. 2019

SV-JME

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This paper presents an experimental investigation on the abrasive waterjet machining (AWJM) of Hardox steels. A full factorial plan was designed and carried out to determine how the traverse speed, the material thickness, and the material type influence the surface roughness. Two materials were machined during the experiments: Hardox 450 and Hardox 500. The experimental data were analysed using statistical methods, and a mathematical model was obtained. Additional experiments were made to validate the model. The results proved that the analysis is accurate and the mathematical model will be a useful tool in industrial environments for process planning when abrasive waterjet machining is used for the considered material.

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Modelling and multi-objective optimization of surface roughness and kerf taper angle in abrasive water jet machining of steel

Cited by 59 publications

References 31 publications

Kerf Taper Defect Minimization Based on Abrasive Waterjet Machining of Low Thickness Thermoplastic Carbon Fiber Composites C/TPU

Kerf Taper Defect Minimization Based on Abrasive Waterjet Machining of Low Thickness Thermoplastic Carbon Fiber Composites C/TPU

Multi-objective optimization of glass multi-station bending machining for smartphone curved screen

Research on Surface Roughness of Hardox Steels Parts Machined by Abrasive Waterjet

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