Performance studies on cryogenic treated carbide cutting tool for turning of AISI304 steel

Patil, Nagraj; Gopalakrishna, K.; Sudhakar, K. V.

doi:10.15282/jmes.12.3.2018.12.0343

Cited by 8 publications

(5 citation statements)

References 24 publications

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“…In an cryogenic turning of AISI & MDN 250 steel, found a reduction in wear and improved surface finish, are other considerable findings which enhanced machinability [4,5]. Similarly, Varghese et al [6] in his inveatigation, also claimed significant reduction in tool wear in CT machining in contrat with non CT machining, respectively.…”

Section: Introductionmentioning

confidence: 90%

Performance Evaluation of Cryogenic Treated and Untreated Carbide Inserts during Machining of AISI 304 Steel

Patil

Gopalakrishna²,

Sangmesh³

2020

IJAME

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The cutting tool in the machining process plays an important role as it acts on the working material. There are a few methodologies have been persued to improve tool life, for example traditional cooling, single layer coating, multilayer coating, heat treatment process, nitrogen cooling and latest being the cryogenic treatment which reported a significant improvement in cutting tool life, chip morphology, reduction in heat generation. Hence, the cryogenic treatment is emerged as the sustainable machining process. This paper presents machining of AISI 304 steel using both cryogenic treated (CT) and untreated (UT) cutting tool insert. The commercially available uncoated carbide insert has been cryogenically treated at -196°C for 24 hours soaking period. The machining test has been conducted under four different cutting speeds. The material characterization of cutting insert is studied by using scanning electron microscopy (SEM), hardness test, and microscopic image analysis has been carried out before and after cryogenic treatment. The cutting tool performance is assessed in terms of of wear, cutting temperature, chip morphology, surface roughness under the influence of cryogenic machining and the results are contrast with UT one. The exploratory findings reveals that the deep cryogenic treatment (DCT) with 24 hours soaking period, performed better wear resistance and improved surface roughness of the cutting tool. Also considerable reduction in the flank wear, crater wear, cutting temperature is obtained and found improved chip morphology.

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Section: Introductionmentioning

confidence: 90%

Performance Evaluation of Cryogenic Treated and Untreated Carbide Inserts during Machining of AISI 304 Steel

Patil

Gopalakrishna²,

Sangmesh³

2020

IJAME

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“…Significance level of 0.05). This would lead to evaluating the relative influence of each machining parameter on the responses [16,17]. ANOVA results for arithmetic mean surface roughness (Ra) and cutting force (Fy) are illustrated in Table 4.…”

Section: Anova Analysismentioning

confidence: 99%

Modelling and optimization of machining parameters during hardened steel AISID3 turning using RSM, ANN and DFA techniques: Comparative study

Bouzid

Athmane

Belhadi

et al. 2020

JMES

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Nowadays, the relationships linking the cutting conditions to the different technological parameters are becoming a major industrial objective. The present work deals with some machinability investigations involving surface roughness and cutting force in finish turning of AISI D3-hardened steel using carbide, ceramic and coated ceramic inserts. The combined effects of the cutting parameters represented by the cutting depth (ap), the cutting tool (Tool), the cutting speed (Vc), and the feed rate (f) on the output parameters illustrated by both the surface roughness (Ra) and the cutting force (Fy) are investigated using the analysis of variance (ANOVA). The modelling of surface roughness and cutting force is carried out using both Response Surface Methodology (RSM) and Artificial Neural Network (ANN). In order to determine the most efficient technique, the models developed are compared in terms of the coefficient of determination (R2), the Root Mean Square Error (RMSE) and the Model Predictive Error (MPE). Furthermore, a multi-objective optimization using the Desirability Function Analysis (DFA) has been performed. The obtained results show that the ANN models (For Ra: R²=93%, RMSE=0.02%, MPE=4.99% and for Fy: R²=94%, RMSE=2.52%, MPE=3.11%) performed better than those developed using the RSM approach (For Ra: R²=90.4%, RMSE=0.051%, MPE=18.21% and for Fy: R²=79%, RMSE=31.17%, MPE=55.92%). As a consequence, the achieved ANN models for (Ra) and (Fy) are exploited as objective function for the response optimization applying the DFA technique. The optimum level of the input parameters for the combined desirability is finally identified as ap1–Tool3–Vc3–f1 for both (Ra) and (Fy) with a maximum error of 2.94%.

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“…Nowadays, carbide tools with the diverse coatings are utilized as a option for PCBN and ceramics tools. The much of the time utilized coatings incorporate TiN, TiAlN, TiCN, TiAlCN Al2O3 [9][10][11][12][13]. The performance of cutting tool with and without coatings in terms of cutting force [3][4], surface roughness [9][10][11][12][13], chip morphology [15] and acoustic emission [16] with various grades of the cutting tools is studied by different researchers and in-depth review related process parameter is reported by Ambhore et al [17].…”

Section: Introductionmentioning

confidence: 99%

Analysis of tool vibration and surface roughness with tool wear progression in hard turning: An experimental and statistical approach

Ambhore¹,

Kamble²,

Chinchanikar³

2020

JMES

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The machined surface quality and dimensional accuracy obtained during hard turning is prominently gets affected due to tool wear and cutting tool vibrations. With this view, the results of tool wear progression on surface quality and acceleration amplitude is presented while machining AISI 52100 hard steel. Central Composite Rotatable Design (CCRD) is employed to develop experimental plan. The results reported that vibration signals sensed in a tangential direction (Vz) are most sensitive and found higher than the vibrations in the feed direction (Vx) and depth of cut direction (Vy). The acceleration signals in all three directions are observed to increase with the advancement of tool wear and good surface finish is observed as tool wear progresses up-to 0.136mm. The vibration amplitude is discovered high in the range 3 kHz – 10 kHz within selected cutting parameter range (cutting speed 60-180mm/min, feed 0.1-0.5mm/rev, depth of cut 0.1-0.5mm). The investigation is extended for the development of multiple regression models with regression coefficients value 0.9. These models found statically significant and give dependable estimates between a tool vibrations and cutting parameters.

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Performance studies on cryogenic treated carbide cutting tool for turning of AISI304 steel

Cited by 8 publications

References 24 publications

Performance Evaluation of Cryogenic Treated and Untreated Carbide Inserts during Machining of AISI 304 Steel

Performance Evaluation of Cryogenic Treated and Untreated Carbide Inserts during Machining of AISI 304 Steel

Modelling and optimization of machining parameters during hardened steel AISID3 turning using RSM, ANN and DFA techniques: Comparative study

Analysis of tool vibration and surface roughness with tool wear progression in hard turning: An experimental and statistical approach

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