Optimization of Cutting Parameters in Turning Operation of Aluminium 7075 Alloy

Lakshmi, K.; Chandu, None K. V. P. P.; Rambabu, K.; Subrahamanyam, B. V.

doi:10.17577/ijertv4is100190

Cited by 6 publications

(5 citation statements)

References 1 publication

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“…Lakshmi et al [13] analysed tool wear and temperature in milling Ti-6Al-4V in a mist environment with minimum quantity cooling lubrication by taking into account each respondent's answer based on signal-tonoise ratio. On the basis of the microscopic flank wear investigations, tool wear analysis was conducted.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimization of responses in single and multi-point machining processes using Dragon-fly algorithm coupled with TOPSIS and VIKOR decision-making approaches

Ramena,

Arun Vikram,

Maruvada

et al. 2024

Eng. Res. Express

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Due to complex production practices, it is becoming crucial to provide greater thermal management and friction reduction in manufacturing processes. Lubricants play a crucial role by effectively reducing friction, minimizing wear and tear thereby extending the lifespan of the tool. It is observed that there is a shortage of studies associated with the machining of hard materials like Ti-6Al-4V. The present work has therefore focused on the machining of high-grade Titanium alloy under dry and Neem oil aerosol-mist spray wet conditions. The machining is performed on two kinds of machining processes, such as plain facing with single point tool and co-axial turn-mill facing with multi-point cutting tools on computer numerical controlled Turn-mill machine tool. Furthermore, there are very few articles reported on usage of Neem oil (AzadirachtaIndicaL.) as a lubricant. This has motivated the authors to use Neem oil in a mist condition to minimize the quantity of coolant, without compromising on the tool temperature, surface quality, and tool-wear. The responses obtained are subjected to regression analysis to evolve the fitness functions. Multi-objective optimization of these functions is than adopted using Dragon-fly algorithm (MODA) under the constraints of the machining parameters. A set of Pareto optimal solutions for each of the machining cases are obtained and are further evaluated using TOPSIS and VIKOR decision-making approaches to achieve the optimal values of the cutting parameters. The optimum parameters for single point cutting under wet conditions were observed as speed (592 rpm), feed (0.058 mm/rev) and depth of cut (1.00 mm).The corresponding values of responses were tool temperature (37.05 oC), surface roughness (0.128 μm) and tool wear (155.19 μm). The equivalent values for multi-point cutting were determined as 510 rpm, 0.086 mm/rev and 0.25 mm. The responses for these optimal conditions are 32.17 oC, 0.725 μm and 45.72 μm in that order.

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Section: Literature Reviewmentioning

confidence: 99%

Optimization of responses in single and multi-point machining processes using Dragon-fly algorithm coupled with TOPSIS and VIKOR decision-making approaches

Ramena,

Arun Vikram,

Maruvada

et al. 2024

Eng. Res. Express

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“…al [8] determined the factors influencing the cutting parameters over surface roughness in face milling. Lakshmi et.al [9] determined the factors influencing the cutting parameters over surface roughness in turning operations. They also argued that quality and productivity were two important factors to consider in machining, but contradict to each other in cost comparisons.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimization of Cutting Parameters of CNC Milling for Aircraft Components Using Design of Experiments

Nithyanandam

Senthamizh

Selvaraj

et al. 2014

AMM

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Machining the components precisely and accurately on consistent basis is a huge challenge in the aerospace industry. Nowadays, manufacturer's demand to machine the components to tighter tolerances. In this paper, a case study of machining aircraft rib components in CNC milling was selected and tighter tolerances were defined. For this, two factors: cutting speed and feed rate was considered with five levels. Thus, 25 different combination of experiments were conducted for design of experiments. Several different statistical tools such as normality test, DOE and ANOVA were used. The study outcome found that feed rate has more significant effect over the machining of aircraft rib components than cutting speed; and there is no significant effect found when interaction of both cutting speed and feed rate were defined. The hypothesis test was performed to determine the optimum cutting parameters for the given condition using full factorial ANOVA test.

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“…Hard ferrous materials with a hardness exceeding 45 HRC are commonly machined in turning operations under wet conditions. However, a comprehensive analysis of material removal rate (MRR), surface fnish, tool wear, and energy consumption has been lacking [25,26]. To address this, both the Taguchi method and grey relational analysis were employed to optimize the metal-cutting process.…”

Section: Introductionmentioning

confidence: 99%

Multiobjective Optimization of Hard Turning on OHNS Steel Using Desirability and TOPSIS Approaches

Manikandan,

Rajeswari,

Mohan

et al. 2024

Advances in Materials Science and Engineering

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Machining hard materials with 45–48 HRC is difficult in turning operation because of the improvident cutting parameter selections for the operation. The OHNS (AISI/SAE-01–48HRC) steel is mainly preferred for the production of shafts, gears, cams, and press tools. The OHNS material was turned at a dry state using VP-coated carbide inserts. The seventeen experimental trials were designed by central composite design (CCD) with different levels of cutting parameters, like feed rate, cutting speed, and depth of cut. Design Expert-11 software desirability approach and TOPSIS (Technique for Order Preference by Simulating the Ideal Solution) were used to analyse the experimental results to obtain a single optimal solution that defines better results on metal removal rate (MRR) and surface finish (Ra). RSM solution with 81.3% desirability, the cutting speed of 60 m/min, feed rate of 0.08 mm/rev, and depth of cut 1 mm as the optimal cutting parameters; similarly, TOPSIS algorithm calculation identifies the cutting parameter combinations, such as 40 m/min cutting speed, 0.09 mm/rev feed rate, and 1 mm depth cut to enrich the quality of the machined steel; however, the desirability approach cutting parameter setting is better for the surface finish achievement, while TOPSIS solution is better to obtain significant MRR. The confirmation test results validated for the predicted values of both approaches; as such, the experimental results were maintained better convenience than the predicted one. For the optimum cutting parameter combinations, an MRR of 22.032 gm/min and surface roughness of 0.781 μm were obtained at 60 m/min cutting speed, 0.08 mm/rev feed rate, and 1 mm depth of cut.

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Optimization of Cutting Parameters in Turning Operation of Aluminium 7075 Alloy

Cited by 6 publications

References 1 publication

Optimization of responses in single and multi-point machining processes using Dragon-fly algorithm coupled with TOPSIS and VIKOR decision-making approaches

Optimization of responses in single and multi-point machining processes using Dragon-fly algorithm coupled with TOPSIS and VIKOR decision-making approaches

Optimization of Cutting Parameters of CNC Milling for Aircraft Components Using Design of Experiments

Multiobjective Optimization of Hard Turning on OHNS Steel Using Desirability and TOPSIS Approaches

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