Effect of abrasive type on marble cutting performance of abrasive waterjet

Aydın, Gökhan; Kaya, Serkan; Karakurt, İzzet

doi:10.1007/s12517-019-4475-0

Cited by 45 publications

(18 citation statements)

References 24 publications

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“…Therefore, the abrasives cannot be assumed to have a specific simple shape. 30 The envelope surface of the outermost abrasives is regarded as the actual working surface of the grinding wheel, which is related to the spatial position and exposure height of the GC abrasive.…”

Section: Surface Topography Modelmentioning

confidence: 99%

Generation mechanism modeling of surface topography in tangential ultrasonic vibration-assisted grinding with green silicon carbide abrasive wheel

Qiu

Yin

Cao

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part B:

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Tangential ultrasonic vibration-assisted grinding (TUAG) has a wide prospect in machining difficult-to-machine materials. However, the surface generation mechanism in TUAG is not fully recovered. This study proposes an analytical model of the surface topography produced by TUAG. Based on the model, the surface topography and roughness are predicted and experimentally verified. In addition, the influence of the grinding parameters on the surface topography is analyzed. The predicted surface topography well coincides with experimental measurements, and the prediction error in surface roughness Ra by the proposed model is less than 5%. Compared with conventional grinding, TUAG produces a surface with more uniform scratches and surface roughness Ra was reduced by up to 27% with the proper parameters. However, the improvement of surface roughness in TUAG is weakened when grinding speed or depth of cut increases. Moreover, the influence of the ultrasonic vibration amplitude on the surface roughness is not monotonous. With the grinding parameters selected in this study, TUAG with an ultrasonic amplitude of 7.5 μm produces the minimum surface roughness.

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Section: Surface Topography Modelmentioning

confidence: 99%

Generation mechanism modeling of surface topography in tangential ultrasonic vibration-assisted grinding with green silicon carbide abrasive wheel

Qiu

Yin

Cao

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part B:

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show abstract

“…Moreover, whilst AWJM is also considered environmentally friendly and sustainable as it does not omit any hazardous vapours; hence, AWJM produces waste abrasives that affect the environment. Accordingly, recycling or reusing of these abrasives has the potential to resolve ecological issues and concerns relating to AWJ application [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Impacts of Traverse Speed and Material Thickness on Abrasive Waterjet Contour Cutting of Austenitic Stainless Steel AISI 304L

et al. 2021

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Abrasive water jet machining is a proficient alternative for cutting difficult-to-machine materials with complex geometries, such as austenitic stainless steel 304L (AISI304L). However, due to differences in machining responses for varied material conditions, the abrasive waterjet machining experiences challenges including kerf geometric inaccuracy and low material removal rate. In this study, an abrasive waterjet machining is employed to perform contour cutting of different profiles to investigate the impacts of traverse speed and material thickness in achieving lower kerf taper angle and higher material removal rate. Based on experimental investigation, a trend of decreasing the level of traverse speed and material thickness that results in minimum kerf taper angle values of 0.825° for machining curvature profile and 0.916° for line profiles has been observed. In addition, higher traverse speed and material thickness achieved higher material removal rate in cutting different curvature radii and lengths in line profiles with obtained values of 769.50 mm3/min and 751.5 mm3/min, accordingly. The analysis of variance revealed that material thickness had a significant impact on kerf taper angle and material removal rate, contributing within the range of 69–91% and 62–69%, respectively. In contrast, traverse speed was the least factor measuring within the range of 5–18% for kerf taper angle and 27–36% for material removal rate.

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“…14,15 Extensive research is carried out on wear mechanism of abrasive jet machining. [16][17][18][19][20][21] Surface integrity prediction and measurement of machined surface are time-consuming and are rarely applied on the shop floor. Forecasting the above parameters under different operating conditions prior to the machining process is challenging.…”

Section: Introductionmentioning

confidence: 99%

Development of an ANN model for prediction of tool wear in turning EN9 and EN24 steel alloy

Baig

Javed

Khaisar

et al. 2021

Advances in Mechanical Engineering

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An imperative requirement of a modern machining system is to detect tool wear while machining to maintain the surface quality of the product. Vibration signatures emanating during machining with a single point cutting tool have proven to be good indicators for the tool’s health. The current research undertaken utilizes vibration signatures while turning EN9 and EN24 steel alloy to predict tool life using Artificial Neural Network (ANN). During initial meager experimentation, tool acceleration during machining was recorded, and the width of the flank wear at the end of each run was measured using Tool Makers Microscope. The recorded experimental data is utilized to develop the neural network with the variation of operating parameters and corresponding tool vibration with measured tool flank wear. The endeavor undertaken for the development of ANN flank wear prediction model was effective with a regression coefficient of 0.9964. The proposed methodology of indirect measurement of tool wear is efficient, economical for the machining industry to predict tool life, which in turn avoids catastrophic tool failure.

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Effect of abrasive type on marble cutting performance of abrasive waterjet

Cited by 45 publications

References 24 publications

Generation mechanism modeling of surface topography in tangential ultrasonic vibration-assisted grinding with green silicon carbide abrasive wheel

Generation mechanism modeling of surface topography in tangential ultrasonic vibration-assisted grinding with green silicon carbide abrasive wheel

Impacts of Traverse Speed and Material Thickness on Abrasive Waterjet Contour Cutting of Austenitic Stainless Steel AISI 304L

Development of an ANN model for prediction of tool wear in turning EN9 and EN24 steel alloy

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