Effect of Machining Parameters on Tool Life and Surface Roughness of AISI 1040 Dual Phase Steel

Gurumurthy, B. M.; Hindi, Jamaluddin; Hegde, Ananda; Sharma, Sathyashankara; Kini, Achutha U

doi:10.1590/1980-5373-mr-2021-0351

Cited by 7 publications

(4 citation statements)

References 16 publications

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“…The results showed the highest degree of surface roughness of the same metal at speed (68.48 m/min), and the feed was (1.12mm/rev) with the same depth of (0.5mm) and the surface roughness (Ra) was (4.999 µm). These findings were quite similar to the research that had been done before [18][19]. According to the result, the lower surface roughness value is obtained (1.119 µm) when machining (steel 03) at cutting speed (175.92m/min).…”

Section: Resultssupporting

confidence: 90%

Influence of Cutting Parameter on Scarface Quality in Dry Turning of Different Materials

Mohsein¹,

Abdulwahhab²,

Noori³

2023

QJES

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In machining operations, surface roughness (Ra) is an essential measure of product quality. It is determined by the cutting settings. The parameters that have been worked on are the Feed (F) (0.72, 0.88, 0.96, 1.12 mm/min), depth of cut (DOC) (0.5mm), and spindle speed (N) (545, 710, 1000, 1400 r.p.m). Three types of ferrous metals were employed in this study low-carbon steel St 3, medium-carbon steel St 45, and high-carbon steel Y8. According to the data, the optimal operating condition for obtaining the best surface roughness is 1.119 µm for low-carbon steel. St 3 from the product is by employing the following cutting settings for the cutter (feed 0.72 = mm/rev), (DOC= 0.5mm), and (machine speed =1400 rpm). But when using the cutting variables (feed 1.12 = mm/rev), (DOC = 0.5mm), and (machine speed = 545 rpm) for high-carbon steel Y8, gives the highest surface roughness is 4.999 µm . The experimental findings indicate that the surface roughness of turned components is considerably affected by cutting settings and machine equipment. According to the results of this study, increasing spindle speed lowered the Ra of the turned components, but rising feed increased the surface roughness. The value acquired by this approach will benefit other researchers for future work on tool vibrations, cutting forces, and so on.

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Section: Resultssupporting

confidence: 90%

Influence of Cutting Parameter on Scarface Quality in Dry Turning of Different Materials

Mohsein¹,

Abdulwahhab²,

Noori³

2023

QJES

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“…This, in turn, would lead to a rough application of the cutter on the workpiece, thereby leading to a lot of surface roughness. This finding is in agreement with the literature [50,51,[54][55][56]. The depth of cut, however, geometrically increased the surface roughness at 0.8 mm depth of cut.…”

Section: Effect Of Machining Parameters On Surface Roughnesssupporting

confidence: 93%

“…This means that spindle speed improves the overall efficiency of the production in terms of surface finishing with low production costs. This is in agreement with the studies by Muhammad et al [54], Usca et al [55], and BM et al [56]. As analyzed under response GRG analysis, Figure 8 shows the same optimal machining parameter settings for high-quality products with low cost.…”

Section: Grey Relational Grade (Grg) Response Table Analysissupporting

confidence: 90%

Cost and Quality Optimization Taguchi Design with Grey Relational Analysis of Halloysite Nanotube Hybrid Composite: CNC Machine Manufacturing

Esangbedo

Abifarin

2022

Materials

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Researchers who work on manufacturing hybrid composites have significant concerns about holistically optimizing more than one performance characteristic, as in the case of cost and quality optimization. They usually trade off one for the other. Hence, this study employed statistical tools and grey relational analyses (GRA) design to model and optimize the surface roughness and cutting force of Computer Numerical Control (CNC) machine settings to manufacture halloysite nanotube hybrid composite. In this paper, the GRA was able to address the multiple optimization complications by producing 0.6 mm depth of cut, 1500 rpm spindle speed, and 40 mmpm feed rate as the CNC machine settings for high-quality and low-cost hybrid composite. It was noticed that the mathematical and interaction modeling of surface roughness, cutting force, and grey relational grade (GRG) allowed different CNC machines to manufacture hybrid composites. This can assist researchers and production engineers of CNC machines. Variance analysis and delta statistical characteristics revealed that the depth of a cut is the most significant machine setting, with a contribution of 49.12%. This paper outlines the possible CNC machine settings for high-quality composite manufacturing. In future studies, it is recommended for researchers in the field of CNC machine manufacturing to consider the modeling analysis aspect of the optimization, which comprehensively provides the opportunity for the adjustment of CNC machines for better material performance, which has been lacking in the literature.

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“…The high speed steel tools as the name implies, is associated with its ability to cut metal at a much higher rate, with its hardness still maintained irrespective of the level of heat it is subjected to as compared to carbon tool steel. Although cemented carbides are mostly employed as seen in many applications, the unique material properties/attributes of other cutting tools, including the high speed steel cannot be overlooked [7].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the optimal cutting performance of high-speed steel and tungsten carbide cutting tools in the machining of AISI 304 steel

Aboloje,

Sada,

Ekpu

et al. 2024

Int J Adv Manuf Technol

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With the increasingly rapid development of technology, and the rising need to promote productivity that is based on quality, energy and cost, it imperative that cutting tools are not selected at random. It is particularly important to note, that aligning work piece materials to speci c cutting tools, generally improves manufacturing costs, lead-time, quality of the overall product, and provides greater exibility when this is done along with the corresponding optimal cutting parameters. All these signi cantly dictate, and contribute to the overall manufacturing cost of nished products. This study has been performed using the High speed steel and Tungsten carbide tools to comparatively determine the most suitable cutting tool for the machining of a 304 Austenite Steel cylindrical bar. The tool wear of the cutting tools was selected as a measured to ascertain their performance in the turning operation. Response surface methodology was employed to analyzing the results and determining their optimal performance. From the study, the tungsten carbide tool recorded optimal parameters as follows; cutting speed 1303m/min, feed rate 0.354 mm/rev, and depth of cut 0.458mm with a tool wear of 1.173mm. And for the high speed steel tool; cutting speed 1321m/min, feed rate 0.208 mm/rev, and depth of cut 0.682mm with a tool wear of 2.073mm. The study judging from the tool wear shows the e ciency of the tungsten carbide tool over the high speed steel cutting tool, as it can be seen from the results obtained that the lowest tool wear in the turning of the cylindrical steel bar, is recorded from the use of the tungsten carbide cutting tool. From the 3D surface plots, it can be con rmed that to obtained a good performance from the different cutting tools, the cutting speed best suited for the cutting tool must be taken into consideration.

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Effect of Machining Parameters on Tool Life and Surface Roughness of AISI 1040 Dual Phase Steel

Cited by 7 publications

References 16 publications

Influence of Cutting Parameter on Scarface Quality in Dry Turning of Different Materials

Influence of Cutting Parameter on Scarface Quality in Dry Turning of Different Materials

Cost and Quality Optimization Taguchi Design with Grey Relational Analysis of Halloysite Nanotube Hybrid Composite: CNC Machine Manufacturing

Evaluation of the optimal cutting performance of high-speed steel and tungsten carbide cutting tools in the machining of AISI 304 steel

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