Prediction and optimization of machining forces using oxley's predictive theory and RSM approach during machining of WHAs

Sagar, Chithajalu Kiran; Kumar, Tarun; Priyadarshini, Amrita; Gupta, Amit Kumar

doi:10.1016/j.dt.2019.07.004

Cited by 21 publications

(4 citation statements)

References 17 publications

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“…Regarding cutting parameter optimization, using cutting force prediction, the paper presented by Sagar et al [89] proposes a method for the prediction and optimization of cutting forces, using Oxley's predictive theory and the Response Surface Methodology (RSM), in the machining of Tungsten heavy alloys (WHAs). The authors employ these methods to predict the cutting forces at different feed and speed combinations.…”

Section: Process Optimization Using Cutting Force Datamentioning

confidence: 99%

“…The authors employ these methods to predict the cutting forces at different feed and speed combinations. The schematics of the methodology used by Sagar et al [89] can be observed in Figure 6. Figure 6.…”

Section: Process Optimization Using Cutting Force Datamentioning

confidence: 99%

“…Figure 6. Scheme of the methodology adopted for the prediction and optimization of cutting forces [89].…”

Section: Process Optimization Using Cutting Force Datamentioning

confidence: 99%

See 2 more Smart Citations

Cutting Forces Assessment in CNC Machining Processes: A Critical Review

Sousa

Silva

Fecheira

et al. 2020

Sensors

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Machining processes remain an unavoidable technique in the production of high-precision parts. Tool behavior is of the utmost importance in machining productivity and costs. Tool performance can be assessed by the roughness left on the machined surfaces, as well as of the forces developed during the process. There are various techniques to determine these cutting forces, such as cutting force prediction or measurement, using dynamometers and other sensor systems. This technique has often been used by numerous researchers in this area. This paper aims to give a review of the different techniques and devices for measuring the forces developed for machining processes, allowing a quick perception of the advantages and limitations of each technique, through the literature research carried out, using recently published works.

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Section: Process Optimization Using Cutting Force Datamentioning

confidence: 99%

Section: Process Optimization Using Cutting Force Datamentioning

confidence: 99%

See 1 more Smart Citation

Cutting Forces Assessment in CNC Machining Processes: A Critical Review

Sousa

Silva

Fecheira

et al. 2020

Sensors

View full text Add to dashboard Cite

show abstract

“…Most of the efforts in this system have been made to understand the mechanical behaviour of WHAs that are influenced by tungsten content, type of processing and heat treatment 14,15 . However, not much of the research works are available that emphasize the machinability of various grades of WHAs 16,17 . Additionally, optimisation of the cutting variables has not been reported so far.…”

Section: Introductionmentioning

confidence: 99%

Experimental Investigations on The Effect of Tungsten Content on the Machining Behaviour of Tungsten Heavy Alloys

2021

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The present work attempts to assess the machinability of tungsten heavy alloys (WHAs) with varying tungsten content in terms of different machining characteristics such as chip thickness, material removal rate, cutting force and surface roughness under varied cutting conditions. The feed rate is found to have major influence on the machining characteristics; whereas the effect of rake angle appears to be marginal. With increase in W content both cutting force and material removal rate increase whereas surface roughness decreases. Since WHAs are difficult to machine, an additional objective of the study is to optimize machining parameters. An optimal balance of the experimental cutting parameters using Grey relational analysis has been achieved, which can be effectively employed for the machining of the alloys with close dimensional tolerances and desirable surface finish.

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