Cutting temperature and tool wear of hard turning hardened bearing steel

Liu, X.L; Wen, Dong Hui; Li, Z.J; Xiao, Lu; Yan, Fu Gang

doi:10.1016/s0924-0136(02)00651-9

Cited by 46 publications

(19 citation statements)

References 10 publications

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“…The amount of heat generated varies with the type of material being machined and cutting parameters especially cutting speed which had the most influence on the temperature (Liu et al, 2002). Several attempts have been made to predict the temperatures involved in the process as a function of many parameters.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Cutting Parameters Based on Surface Roughness and Assistance of Workpiece Surface Temperature in Turning Process

Suhail¹

2010

American Journal of Engineering and Applied Sciences

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Problem statement:In machining operation, the quality of surface finish is an important requirement for many turned workpieces. Thus, the choice of optimized cutting parameters is very important for controlling the required surface quality. Approach: The focus of present experimental study is to optimize the cutting parameters using two performance measures, workpiece surface temperature and surface roughness. Optimal cutting parameters for each performance measure were obtained employing Taguchi techniques. The orthogonal array, signal to noise ratio and analysis of variance were employed to study the performance characteristics in turning operation. Results: The experimental results showed that the workpiece surface temperature can be sensed and used effectively as an indicator to control the cutting performance and improves the optimization process. Conclusion: Thus, it is possible to increase machine utilization and decrease production cost in an automated manufacturing environment.

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Section: Introductionmentioning

confidence: 99%

Optimization of Cutting Parameters Based on Surface Roughness and Assistance of Workpiece Surface Temperature in Turning Process

Suhail¹

2010

American Journal of Engineering and Applied Sciences

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“…[15][16][17][18] The smaller-isbetter (SB), the nominal-best (NB) and the larger-isbetter (LB) approaches are found according to the results of the S/N ratio. [15][16][17][18] As the tool-chip interface temperature (T CTI ), the tool temperature (T T ) and the surface roughness (R a ) values were required to be the lowest, the S/N ratios of these quality characteristics were calculated in dB using Equation (1) according to the SB option in the study. 15 …”

Section: Experimental Design Using the Taguchi Methodsmentioning

confidence: 99%

“…The amount of heat generated varies with the type of material being machined and the cutting parameters (especially the cutting speed, which had the biggest influence on the temperature). 1 Temperature monitoring is one of the most difficult and complicated procedures in metal-cutting operations. It is extremely complex to develop a model for measuring the temperature due to the complexity of the different events at the point of contact between the tool and the workpiece.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the cutting temperature and surface roughness during the orthogonal machining of AISI 4140 alloy steel via the Taguchi method

Motorcu¹,

Işık²,

Kuş³

et al. 2016

Mater. Tehnol.

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In this research, the tool-chip interface temperature (TCTI), the tool temperature (TT) and the average surface roughness (Ra) were measured experimentally during the turning of AISI 4140 alloy steel with TiAlN-TiN, PVD-coated, WNVG 080404-IC907 tungsten carbide inserts using an IR pyrometer technique, a K-type thermocouple and a portable surface-roughness measurement device, respectively. The workpiece material was heat treated by an induction-hardening process and hardened up to a value of 50 HRC. The Taguchi method L18 (21 × 37) was used for the determination of the optimum control factors. The depth of cut, the cutting speed and the feed rate were taken as control factors. The analysis of variance was applied in order to determine the effects of the control factors on the tool-chip interface temperature, the tool temperature and the surface roughness. The optimum combinations of the control factors for TCTI, TT and Ra were determined as a2v1f3, a1v3f2 and a2v3f1, respectively. Second-order predictive models were developed with a linear-regression analysis, and the coefficients of correlation for TCTI, TT and Ra were calculated as R 2 = 92.8, R 2 = 68.1 and R 2 = 82.6, respectively.Keywords: tool temperature, thermocouple, pyrometer, machining, Taguchi method V raziskavi so bile eksperimentalno izmerjenene tempetratura na stiku orodje-ostru`ek (TCTI), temperatura orodja (TT) in povpre~na hrapavost povr{ine (Ra) pri stru`enju legiranega jekla AISI 4140, z volfram karbidnimi vlo`ki WNVG 080404-IC907 s PVD prevleko iz TiAlN-TiN, z uporabo IR pirometra, termoelementi vrste K in s prenosnim merilnikom hrapavosti. Obdelovanec je bil toplotno obdelan z indukcijskim ogrevanjem in hlajenjem na trdoto 50 HRC. Za dolo~anje optimalnih kontrolnih faktorjev je bila uporabljena Taguchi metoda L18 (21 × 37). Globina rezanja, hitrost rezanja in hitrost podajanja so bile vzete kot kontrolni faktorji. Analiza variance je bila uporabljena za dolo~anje vpliva kontrolnih faktorjev na temperaturo prehoda orodje-ostru`ek, temperaturo orodja in hrapavost povr{ine. Dolo~ene so bile optimalne kombinacije kontrolnih faktorjev za TCTI, TT in Ra , kot a2v1f3, a1v3f2 and a2v3f1. Z linearno regresijsko analizo so bili razviti modeli drugega reda za napovedovanje in izra~unani so bili koeficienti korelacije za TCTI, TT in Ra kot R 2 = 92,8, R 2 = 68,1 in R 2 = 82,6.

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“…Hardeep Singh et al [10] investigated the temperature behaviour on EN9 material by using infrared thermometer technique. The research show in this paper reveal that Feed is most promising parameter in controlling temperature on EN9 material without using any lubricant in machining.A.V dhote et al [9] studied the effect of machining parameters on tool tip temperature without using any oil or cutting fluid . The experiments are conducted by using Taguchi L9 orthogonal array and in the end by using L9 orthogonal array optimized cutting parameters were also found and rake angle and force is also being measured which is applied during machining.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimization of Machining Parameters on Tool Tip Temperature by Using Vegetable Oil on En8 Material

Kainth¹

2015

IJRET

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Cutting temperature and tool wear of hard turning hardened bearing steel

Cited by 46 publications

References 10 publications

Optimization of Cutting Parameters Based on Surface Roughness and Assistance of Workpiece Surface Temperature in Turning Process

Optimization of Cutting Parameters Based on Surface Roughness and Assistance of Workpiece Surface Temperature in Turning Process

Analysis of the cutting temperature and surface roughness during the orthogonal machining of AISI 4140 alloy steel via the Taguchi method

Optimization of Machining Parameters on Tool Tip Temperature by Using Vegetable Oil on En8 Material

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