Optimization of the Manufacturing Strategy, Machining Conditions, and Finishing of a Radial Impeller

Stratogiannis, Fotios I.; Galanis, Nikolaos I.; Karkalos, Nikolaos E.; Markopoulos, Angelos P.

doi:10.3390/machines8010001

Cited by 19 publications

(12 citation statements)

References 23 publications

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“…Specimens were face milled using a CNC vertical machining center (ACE Micron) capable of working at a speed of 8000 rpm. The L16 orthogonal array (OA) design was chosen based on the Taguchi design of experiments [21] because the current study works with four input levels using four independent process parameters. Apart from reinforcement weight percentage, because of their importance in the face milling process, cutting speed, feed rate, and depth of cut have been used as input parameters.…”

Section: Experimental Setup and Designmentioning

confidence: 99%

Multi-Response Optimization of Milling Process Parameters for Aluminium-Titanium Diboride Metal Matrix Composite Machining Using Taguchi- Data Envelopment Analysis Ranking Approach

Kamath¹,

Krishnan²,

Devesh³

et al. 2022

Eng. Sci.

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Ceramic reinforced aluminum matrix composites are increasingly gaining importance because of their specific, particulate reinforced physical features. Machining such materials is a time-consuming process due to their superior physical properties. Moreover, only a few recorded research documents discuss the optimization of machining parameters in the milling of aluminum-titanium diboride (Al/TiB 2 ) composites. Thus, the current study sought to evaluate the effect of process parameters on the face milling machining process while machining Al/TiB 2 metal matrix composite. Reinforcement weight percentage, cutting speed, feed rate, and depth of cut used in milling were used as input parameters in the Taguchi-DEA ranking methodology to evaluate performance metrics, including material removal rate and material's arithmetic average roughness. According to the results of the experimental investigation, cutting speed and reinforcement weight percentage have a greater influence on determining performance metrics in the milling process due to their role in determining impact strength. Among the selected process factors, the ideal combination of reinforcing weight percent (9%), cutting speed (1500 rpm), feed rate (300 mm/min), and depth of cut (0.15) were discovered and evaluated using a confirmation test with 3.14 and 2.34 percent variation in material removal rate (MRR) and surface roughness (Ra) values, respectively.

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Section: Experimental Setup and Designmentioning

confidence: 99%

Multi-Response Optimization of Milling Process Parameters for Aluminium-Titanium Diboride Metal Matrix Composite Machining Using Taguchi- Data Envelopment Analysis Ranking Approach

Kamath¹,

Krishnan²,

Devesh³

et al. 2022

Eng. Sci.

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“…Taguchi's approach introduces a design methodology for reduced labor costs with increased efficiency [47][48][49]. Its main purpose is quality engineering.…”

Section: Taguchi's S/n Ratio Methodsmentioning

confidence: 99%

Parametric Optimization for Cutting Forces and Material Removal Rate in the Turning of AISI 5140

et al. 2021

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The present paper deals with the optimization of the three components of cutting forces and the Material Removal Rate (MRR) in the turning of AISI 5140 steel. The Harmonic Artificial Bee Colony Algorithm (H-ABC), which is an improved nature-inspired method, was compared with the Harmonic Bee Algorithm (HBA) and popular methods such as Taguchi’s S/N ratio and the Response Surface Methodology (RSM) in order to achieve the optimum parameters in machining applications. The experiments were performed under dry cutting conditions using three cutting speeds, three feed rates, and two depths of cuts. Quadratic regression equations were identified as the objective function for HBA to represent the relationship between the cutting parameters and responses, i.e., the cutting forces and MRR. According to the results, the RSM (72.1%) and H-ABC (64%) algorithms provide better composite desirability compared to the other techniques, namely Taguchi (43.4%) and HBA (47.2%). While the optimum parameters found by the H-ABC algorithm are better when considering cutting forces, RSM has a higher success rate for MRR. It is worth remarking that H-ABC provides an effective solution in comparison with the frequently used methods, which is promising for the optimization of the parameters in the turning of new-generation materials in the industry. There is a contradictory situation in maximizing the MRR and minimizing the cutting power simultaneously, because the affecting parameters have a reverse effect on these two response parameters. Comparing different types of methods provides a perspective in the selection of the optimum parameter design for industrial applications of the turning processes. This study stands as the first paper representing the comparative optimization approach for cutting forces and MRR.

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“…Yet, the results demonstrated weak stability. Fotios et al [14] conducted an experimental investigation using Taguchi L 16 orthogonal array, selecting the best milling strategy and cutting conditions, as well as the appropriate tool to obtain the best process conditions so as to construct the impeller with the best dimensional accuracy and surface quality. The results showed that this optimization method improved the surface roughness of the impeller.…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimization Design of a Novel Integral Squeeze Film Bearing Damper

Zhang

Yang

et al. 2021

Machines

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In order to better control the vibration of the rotor system so as to improve the stability and safety of the rotor, a novel vibration control solution is needed. In this paper, the multi-objective optimization problem is used for designing a novel integral squeeze film bearing damper (ISFBD). The method attempts to reduce the stiffness and stress convergence of ISFBD, which can greatly decrease the transmitted force of the rotor system and better use the damping effect to dissipate the vibration energy. The finite element model of ISFBD is established to analyze the stiffness and stress, and the correctness of the calculation is verified by setting up a stiffness test platform. The sensitivity of different structural parameters of stiffness and stress is analyzed by ANOVA. Meanwhile, the non-dominated sorting genetic algorithm (NSGA-II) and grey correlation analysis (GRA) algorithms are coupled for multi-objective optimization of stiffness and stress. The results indicate that optimized ISFBD can distribute 26.6% of the rotor system’s energy and reduce 59.3% of the transmitted force at the bearing location. It is also proved that the optimization strategy is effective, which can provide a useful method for ISFBD design in practical applications.

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Optimization of the Manufacturing Strategy, Machining Conditions, and Finishing of a Radial Impeller

Cited by 19 publications

References 23 publications

Multi-Response Optimization of Milling Process Parameters for Aluminium-Titanium Diboride Metal Matrix Composite Machining Using Taguchi- Data Envelopment Analysis Ranking Approach

Multi-Response Optimization of Milling Process Parameters for Aluminium-Titanium Diboride Metal Matrix Composite Machining Using Taguchi- Data Envelopment Analysis Ranking Approach

Parametric Optimization for Cutting Forces and Material Removal Rate in the Turning of AISI 5140

Multi-Objective Optimization Design of a Novel Integral Squeeze Film Bearing Damper

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