Multi-response Optimization of Cutting Parameters for Hole Quality in Drilling of AISI 1050 Steel

Meral, Güven; Sarıkaya, Murat; Dilipak, Hakan; Şeker, Ulvi

doi:10.1007/s13369-015-1854-z

Cited by 23 publications

(6 citation statements)

References 17 publications

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“…In the experimental study, optimal results of surface roughness, inlet, and outlet deformation factors according to the independent variables of cutting speed, feed rate and drill bit material were obtained by using the Taguchi optimization method. In addition, the validity of the statistically derived ideal parameters was tested with the confirmation experiments [9,13]. Relation between the statistically prediction levels and confirmation experiment were given in Table 13.…”

Section: Confirmation Experimentsmentioning

confidence: 99%

“…Drilling is one of the most important 161 machining operations and involves approximately 33% of the machining operations. Again, 25% of the total time spent in machining processes is spent as drilling [9]. In machining operations, the main target has always been to achieve optimum machining conditions in order to reduce cost and increase performance [9].…”

Section: Introductionmentioning

confidence: 99%

“…Again, 25% of the total time spent in machining processes is spent as drilling [9]. In machining operations, the main target has always been to achieve optimum machining conditions in order to reduce cost and increase performance [9]. For example, while millions of holes are required for rivets and bolted connections in the manufacture of aircraft, delamination, and micro-cracking in the holes significantly reduce the performance of the composite material.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Investigation of Drilling Performance of Reinforced Polyamide 6 Polymer Composite

Genç¹,

Yıldırım

Koyunbakan

et al. 2023

Konya Journal of Engineering Sciences

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Polyamides are preferred polymer materials for manufacturing industrial products due to their lightness, resistance to corrosion, ease of processing, and recyclability. In this study, the machinability properties of Polyamide 6 (PA6) polymer composite plates reinforced with chopped carbon fiber (CF) and multi-walled carbon nanotube (MWCNT) in different proportions were investigated by the drilling method using different cutting tools and cutting parameters. The experiments were carried out according to the L16 orthogonal array. Drilling experiments were carried out in a dry environment. The deformations occurring on the inlet and outlet surfaces of the drilled samples were calculated, and the surface roughness (Ra) of the hole walls was measured. According to the results obtained, the particle addition made to the PA6 polymer reduced the Ra. It has been observed that high cutting speed and low feed rate are ideal parameters to achieve low Ra and low inlet-outlet deformations.

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Section: Confirmation Experimentsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Investigation of Drilling Performance of Reinforced Polyamide 6 Polymer Composite

Genç¹,

Yıldırım

Koyunbakan

et al. 2023

Konya Journal of Engineering Sciences

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“…Many researchers have successfully applied RSM and grey relational analysis (GRA) techniques to simultaneously optimize the responses (Sarıkaya and Güllü, 2015). The Taguchi-based GRA is applied for many other machining processes like milling and drilling for optimizing the responses simultaneously (Sarıkaya et al , 2016; Meral et al , 2015, 2019).…”

Section: Introductionmentioning

confidence: 99%

Modeling of the machining parameters in turning of Al-5052/TiC/SiC composites: a statistical modeling approach using grey relational analysis (GRA) and response surface methodology (RSM)

Reddy¹,

Reddigari

Anna

et al. 2021

MMMS

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PurposeMetal matrix composites (MMC) has been a section which gives an overview of composite materials and owing to those exceptional physical and mechanical properties, particulate-reinforced aluminum MMCs have gained increasing interest in particular engineering applications. Owing to the toughness and abrasive quality of reinforcement components such as silicon carbide (SiC) and titanium carbide (TiC), such materials are categorized as difficult materials for machining. The work aims to develop the model for evaluating the machinability of the materials via the response surface technique by machining three distinct types of hybrid MMCs.Design/methodology/approachThe combined effects of three machining parameters, namely “cutting speed” (s), “feed rate” (f) and “depth of cut” (d), together with three separate composite materials, were evaluated with the help of three performance characteristics, i.e. material removal rate (MRR), cutting force (CF) and surface roughness (SR). Response surface methodology and analysis of variance (ANOVA) both were initially used for analyzing the machining parameters results.FindingsThe contours were developed to observe the combined process parameters along with their correlations. The process variables were concurrently configured using grey relational analysis (GRA) and the composite desirability methodology. Both the GRA and composite desirability approach obtained similar results.Practical implicationsThe results obtained in the present paper will be helpful for decision-makers in manufacturing industries, who work on metal cutting area especially composites, to select the suitable solution by implementing the Grey Taguchi and modeling techniques.Originality/valueThe originality of this research is to identify the suitability of process parameters combination based on the obtained research results. The optimization of machining parameters in turning of hybrid metal matrix composites is carried out with two different methods such as Grey Taguchi and composite desirability approach.

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“…Later, Sarikaya et al [36] showed that DOE is able to reduce the amount of oil used for machining purposes with an improvement in machinability of material. Also, in drilling process, the most significant parameters affecting the dimensional accuracy is cutting speed for both coated and uncoated tools using DOE [24].…”

Section: Introductionmentioning

confidence: 99%

Optimization of strain measurement procedure based on fuzzy quality evaluation and Taguchi experimental design

2019

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The reliability of the measurement system, accuracy, and precision are significant criteria at any measurement procedure. Strain gage sensors are one of the tools to measure the strain of structures in engineering applications. Different controllable and extraneous parameters will change the accuracy and precision of the strain gauges. As a result, it is valuable to investigate the most significant parameters and the percentage of their contributions affecting the strain measurement. This paper presents the multi-objective optimization in strain gauge measurements to determine the Reliability and Noise indices. The best set of parameters with a high-reliability index (which means low noise index) for strain measurement based on two significant objectives of accuracy and precision are evaluated. The significant parameters, their optimal levels and percentage of contributions are identified according to the Taguchi and Fuzzy Analytic Hierarchy Process (FAHP) with Technique for the Order Performance by its Similarity to the Ideal Solution (TOPSIS) methods. To obtain this evaluation, three levels (L 1 , L 2 , and L 3) of temperature (P 1), the length of wires (P 2), and the point of applied force (P 3) are considered. This configuration leads to L 9 orthogonal array of Taguchi approach based on the number of parameters and their levels. The triangular membership function for the weightiness of accuracy and precision is used via AHP. By using the Taguchi method, the optimum set of parameters are identified as P 1 at L 1 , P 2 at L 2 , and P 3 at L 3 to have a higher reliability index compared to trial 8. By applying the optimum design of experiment, it is found that the reliability index is 95%. The results also show that the highest reliability index is related to trial 8 with 87.65% reliability. Finally, the combination of FAHP and TOPSIS with Taguchi method for multi-objective optimization is introduced and proposed as a practical and useful model to determine the best set of parameters with the highest reliability index in strain measurement.

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Multi-response Optimization of Cutting Parameters for Hole Quality in Drilling of AISI 1050 Steel

Cited by 23 publications

References 17 publications

Investigation of Drilling Performance of Reinforced Polyamide 6 Polymer Composite

Investigation of Drilling Performance of Reinforced Polyamide 6 Polymer Composite

Modeling of the machining parameters in turning of Al-5052/TiC/SiC composites: a statistical modeling approach using grey relational analysis (GRA) and response surface methodology (RSM)

Optimization of strain measurement procedure based on fuzzy quality evaluation and Taguchi experimental design

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