Machining parameters effect in dry turning of AISI 316L stainless steel using coated carbide tools

Nur, Rusdi; Noordin, M.Y.; Izman, S.; Kurniawan, Denni

doi:10.1177/0954408915624861

Cited by 70 publications

(37 citation statements)

References 20 publications

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“…Another investigation was by confirmed by Nur et al with different result. They present that surface roughness was only affected by changes in feed rate [22]. Sahin and Motorcu stated that the feed rate was main affecting factor on the surface roughness during turning of mild steel with coated carbide tools [23].…”

Section: Resultsmentioning

confidence: 99%

Experimental research to investigate the performance of bio coolant when turning of mild carbon steel

Susanto

Nur

2017

IOP Conf. Ser.: Mater. Sci. Eng.

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Abstract. Some literatures have been reported that the using bio coolant show better lubricating and cooling performances and reduce the occupational health risks associated with petroleum-oil-based coolant since they have lower toxicity. This paper investigates the effect the cutting conditions on the surface roughness through turning of mild carbon steel using dry, coolant and bio coolant. Measurement of surface roughness was conducted and then compared with the change of the cutting conditions. The relationship between surface roughness and cutting conditions was created in a curve for different of the cutting speed and coolant. The results indicate that the surface roughness was reduced when the speed of cutting is set to the highest level for all of coolant conditions (dry, coolant, and bio coolant) and constant of DOC and feed. The surface roughness had better performance using bio coolant than coolant conventional (mineral fluid).

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Section: Resultsmentioning

confidence: 99%

Experimental research to investigate the performance of bio coolant when turning of mild carbon steel

Susanto

Nur

2017

IOP Conf. Ser.: Mater. Sci. Eng.

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“…Speed was the huge factor in surface roughness and cutting force, while feed and depth of cut did not generously influence the outcome. Aggarwal et al, (2008), Nur et al, (2017) analyzed the cutting force in turning of compound steel utilizing TiN covered carbide embed with DoE approach. The cryogenic condition was the most critical factor in minimizing the cutting force pursued by cutting speed and depth of cut.…”

Section: Introductionmentioning

confidence: 99%

The Outcome of Turning Factors on the Machining Characteristics While Turning 655M13 Steel Alloy using Tialn Coated Carbide Insert

Venkatesh¹,

Kannan²,

Dennison³

2020

IJEAT

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 Abstract: This exploration is carried out to reveal the outcome of turning factors such as cutting velocity, depth of cut and feed rate on the surface roughness, mean cutting force and tool-work interface temperature on turning cylindrical 655M13 steel alloy components. The experiments are designed based on (33) full factorial design and conducted on a turning centre with Titanium Aluminium Nitride (TiAlN) layered carbide tool of 0.8mm nose radius, simultaneously cutting forces such as feed force, thrust force and tangential force and the tool-work interface temperature are observed using calibrated devices. The surface roughness of the turned steel alloy parts is deliberated by means of a precise surface roughness apparatus. Prediction models are created for average surface roughness, mean cutting force and tool-work interface temperature by nonlinear regression examination with the aid of MINITAB numerical software. The optimum machining conditions are confirmed with the aid of a Genetic Algorithm. The outcome of each turning factor on the surface roughness, mean cutting force and tool-work interfacetemperature is studied and presented accordingly. . His current research interests include manufacturing of materials, metal cutting, metal cutting fluids and machining optimisation.

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“…Researchers carried out investigations in the machining processes by studying the cutting conditions, environment, cutting tool materials and measuring the machining responses such as tool life, the surface quality, and the power consumption, etc. [8]. Tool wear and surface quality (roughness) are significant responses from the economic aspect of a machining process.…”

Section: Introductionmentioning

confidence: 99%

Effect of Machining Parameters on Tool Wear and Surface Roughness In Dry and Wet Machining of Aisi 316 Austenitic Stainless Steel by Taguchi Method

Dambhare¹,

Kore²,

Pathan³

et al. 2019

IJITEE

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Stainless steels are widely used to manufacture mechanical components due to excellent mechanical properties. Machining is considered as one of the most critical manufacturing processes in mechanical industry to produce desired shapes and dimensional accuracy of the components. It also affects the performance of the components in its functional requirement. This paper deals with the optimization of cutting parameters in machining operation for AISI 316 austenitic steel with dry and wet environment conditions. The chosen machining parameters in this research are cutting speed, feed rate, and depth of cut as input variables, whereas the response factors are surface roughness and wear rate. Taguchi method with the L9 orthogonal array was used to analyze the process parameters based in dry and wet machining conditions. The Taguchi approach provides the best setting with lower values of surface roughness and wear rate. The regression analysis is performed to obtain a mathematical model of responses in terms of the process parameter. The composite regression optimization gives best setting for dry condition (cutting speed 173 rpm, feed 0.25 mm/rev, and 0.87 mm of the depth of cut) and for wet condition (cutting speed 173 rpm, feed 0.3 mm/rev, and 0.57 mm of the depth of cut). The results show that surface roughness and wear rate are lower in the wet environment than the dry environment.

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Machining parameters effect in dry turning of AISI 316L stainless steel using coated carbide tools

Cited by 70 publications

References 20 publications

Experimental research to investigate the performance of bio coolant when turning of mild carbon steel

Experimental research to investigate the performance of bio coolant when turning of mild carbon steel

The Outcome of Turning Factors on the Machining Characteristics While Turning 655M13 Steel Alloy using Tialn Coated Carbide Insert

Effect of Machining Parameters on Tool Wear and Surface Roughness In Dry and Wet Machining of Aisi 316 Austenitic Stainless Steel by Taguchi Method

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