scholarly journals Taguchi Grey Relational Optimization of the Multi-mechanical Characteristics of Kaolin Reinforced Hydroxyapatite: Effect of Fabrication Parameters

2021 ◽  
Vol 1 (2) ◽  
pp. 20-32
Author(s):  
Johnson Kehinde Abifarin ◽  
David Olubiyi Olubiyi ◽  
Emmanuel Toi Dauda ◽  
Elijah Oyewusi Oyedeji
Keyword(s):  
Mechanical Properties ◽  
Grey Relational Analysis ◽  
Mechanical Characteristics ◽  
Sintering Temperature ◽  
Compaction Pressure ◽  
High Strength ◽  
Taguchi Design ◽  
Relational Analysis ◽  
Grey Relational ◽  
Fabrication Parameters

Comparative study of kaolin reinforced hydroxyapatite (KHAp) and pure HAp using different production parameters has been done through traditional experimentation. However, the quantitative effect, optimization of kaolin reinforcement and fabrication parameters have not been investigated. Hence, this study examines the effect of kaolin reinforcement, compaction pressure and sintering temperature on the experimental mechanical properties of HAp. Taguchi design assisted by grey relational analysis was employed with L36 (2**2 3**1) orthogonal array. The Minitab 16 software was used to analyze the Taguchi design. The result showed a disparity in kaolin reinforcement as the optimum condition for individual mechanical properties, but the grey relational analysis showed better mechanical properties with kaolin reinforcement, 500 Pa compaction pressure and 1100 oC sintering temperature. The obtained result further revealed kaolin reinforcement as a strong and promising reinforcing material for high strength clinical application, having a contribution of 93.16% on compressive strength of HAp.  Therefore, future studies can be conducted in the use of different wt% of kaolin on the multi-response mechanical characteristics of HAp.  

scholarly journals Taguchi Grey Relational Analysis on the Mechanical Properties of Natural Hydroxyapatite: Effect of Sintering Parameters

2021 ◽  
Author(s):  
Johnson Kehinde Abifarin
Keyword(s):  
Mechanical Properties ◽  
Compressive Strength ◽  
Grey Relational Analysis ◽  
Sintering Temperature ◽  
Compaction Pressure ◽  
Relational Analysis ◽  
Grey Relational Grade ◽  
Analysis Design ◽  
Grey Relational ◽  
Natural Hydroxyapatite

Abstract Our previous study have reported synthesis and mechanical properties of natural hydroxyapatite (HA), but optimization of the measured hardness and compressive strength has not been examined. This paper presents optimization of mechanical characteristics (hardness and compressive strength), using Taguchi-grey relational analysis design. In the design, three factors with mixed levels (2 and 3) is employed with the consideration of sintering parameters (0 and 500 Pa compaction pressure, and 900, 1000 and 1100 oC sintering temperature), reported in the previous study. The orthogonal array L18 having 18 rows corresponding to the number of tests and the required columns was selected. Results obtained shows that HA with good hardness and compressive strength is feasible with less or no compaction pressure sintering parameter. An optimum grey relational grade (GRG) of the synthesized HA is 0.7171 and has experimental value within 95% confidence interval.The optimal sintering parameters are gotten to be 500Pa compaction pressure and 1100 oC sintering temperature. Result shows that sintering temperature having 99.90 percentage of contribution is the most significant factor, while compaction pressure and error are insignificant on the overall hardness and compressive strength of the synthesized HA.

Development of Microwave Hybrid Heating Welded Joints of Inconel-600 Superalloys using Grey Relational Analysis

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Ravish Arora ◽  
Jatinder Kapoor ◽  
Rakesh Chandimal Sharma
Keyword(s):  
Grey Relational Analysis ◽  
High Strength ◽  
High Wear Resistance ◽  
Powder Particle Size ◽  
Hybrid Heating ◽  
Inconel 600 ◽  
Relational Analysis ◽  
Microwave Hybrid Heating ◽  
Grey Relational ◽  
The Impact

Inconel-600 superalloys have a number of applications in space and aerospace sector due to its unique characteristics of high strength at elevated temperature, low weight, corrosion resistance and high wear resistance. However, due to these characteristics, Inconel-600 superalloy poses challenges in joining. Therefore, an attempt has been made to resolve these issues using microwave hybrid heating (MHH). The characteristics of the constituents of MHH process have large impact on the welded joint’s strength. This paper examines the impact of control parameters on the ultimate tensile strength (UTS) and percentage elongation (EL) of Inconel-600 plates, which are welded via MHH. Design of experiments was carried out in accordance with Taguchi L16 orthogonal array (OA), taking in consideration of filler powder particle size (FPS), susceptor and separator. Multi-performance features were optimized via the effective utilization of Taguchi-based grey relational analysis (GRA) approach. ANOVA results show that the predominating factor to govern the joint strength is FPS followed by the susceptor and separator. The validation experiments are performed on the predicted optimized setting of process parameters. First level of FPS (30μm), second level of susceptor (Graphite) and second level of separator (SiC) were found as the optimized parametric settings.

Mechanical Behaviour of Polylactic Acid Parts Fabricated via Material Extrusion Process: A Taguchi-Grey Relational Analysis Approach

2020 ◽  
Vol 46 ◽  
pp. 32-44
Author(s):  
Peter Kayode Farayibi ◽  
Babatunde Olamide Omiyale
Keyword(s):  
Mechanical Properties ◽  
Tensile Strength ◽  
Impact Strength ◽  
Layer Thickness ◽  
Polylactic Acid ◽  
Process Parameters ◽  
Grey Relational Analysis ◽  
Extrusion Temperature ◽  
Relational Analysis ◽  
Grey Relational

The acceptance and application of functional parts produced via additive manufacturing technologies is faced with challenges of poor surface finish, dimensional accuracy and mechanical properties among other which is mostly dependent on process parameters employed. In this study, the effect of infill density, layer thickness and extrusion temperature on mechanical properties of polylactic acid (PLA) part manufactured using fused deposition modelling process was investigated to obtain optimum process parameters to achieve the best properties. Solid cuboid bars were produced from which tensile, impact and hardness test specimens were obtained. A statistical approach based on Taguchi design of experiment was employed with process parameters varied and grey relational analysis coupled with principal component analysis was employed to obtain the unified optimum parameter. The single optimisation results showed that 50% infill density, 220°C extrusion temperature and 0.4 mm layer thickness resulted in best tensile strength; 30% density, 210°C temperature and 0.2 mm layer thickness is required to achieve the best impact strength, while 50% density, 215°C temperature and 0.3 mm thickness is required for highest hardness. The multi-response optimisation indicated that for the best of all the three properties to be achieved at once in a PLA built part, 50% infill density, 220°C extrusion temperature and 0.3 mm is required which yielded tensile strength of 30.02±2.15 MPa, impact strength 4.20±0.12 J and hardness of 76.80±0.38 BHN.

scholarly journals Multiobjective Optimization of Injection Moulding Process Parameters on Mechanical Properties Using Taguchi Method and Grey Relational Analysis

2018 ◽  
Vol 7 (3.7) ◽  
pp. 14 ◽  
Author(s):  
Mohd Amran Md Ali ◽  
Noorfa Idayu ◽  
Raja Izamshah ◽  
Mohd Shahir Kasim ◽  
Mohd Shukor Salleh ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Taguchi Method ◽  
Grey Relational Analysis ◽  
Injection Moulding ◽  
Cooling Time ◽  
Mould Temperature ◽  
Plastic Part ◽  
Melt Temperature ◽  
Relational Analysis ◽  
Grey Relational

This study presents an optimization of injection moulding parameters on mechanical properties of plastic part using Taguchi method and Grey Relational Analysis (GRA) approach. The orthogonal array with L9 was used as the experimental design. Grey relational analysis for ultimate tensile strength, modulus and percentage of elongation from the Taguchi method can convert optimization of the multiple performance characteristics into optimization of a single performance characteristic called the grey relational grade (GRG). It is found that mould temperature of 62oC, melt temperature of 280oC, injection time of 0.70s and cooling time 15.4s are found as the optimum process setting. Furthermore, ANOVA result shows that the cooling time is the most influenced factor that affects the mechanical properties of plastic part followed by mould temperature and melt temperature.  

Modeling and multi response optimization of mechanical properties for E-glass/polyester composite using Taguchi-grey relational analysis

2020 ◽  
pp. 095440892096259
Author(s):  
Phaneendra Kumar Kopparthi ◽  
Vengal Rao Kundavarapu ◽  
Venkata Rao Kaki ◽  
Bhaskara Rao Pathakokila
Keyword(s):  
Mechanical Properties ◽  
Grey Relational Analysis ◽  
Composite Laminates ◽  
Injection Pressure ◽  
Relational Analysis ◽  
Control Factors ◽  
Resin Injection ◽  
Polyester Composite ◽  
Response Optimization ◽  
Grey Relational

In the present work, E-glass/polyester composite laminates were manufactured in a customized resin transfer mould (RTM) with different layers of fiber at selected resin injection pressures. Experiments were performed employing full factorial design to study the influence of number of fiber layers and resin injection pressure on mechanical properties of the composites. Analysis of variance was implemented to study the interaction effect of process parameters on multi-responses namely tensile, flexural and impact strengths. Taguchi method based grey relational analysis was used to determine optimal control factors for the responses. Numbers of fiber layers and the injection pressure have significance with respective 73.96% and 16.57% contributions on the grey relation grades of the three responses. An optimal working condition was suggested to produce quality composite. In addition, mathematical models for the mechanical properties were also developed using the experimental results.

Investigation on Optimization of Mechanical Properties of Bagasse Reinforced Epoxy Composite Using Grey Relational Analysis

2021 ◽  
Vol 9 (2) ◽  
pp. 493-498
Author(s):  
D K Mohan Kumar, Et. al.
Keyword(s):  
Mechanical Properties ◽  
Chemical Treatment ◽  
Grey Relational Analysis ◽  
Volume Fraction ◽  
Fibre Content ◽  
Operating Parameters ◽  
Relational Analysis ◽  
Input Variables ◽  
Bagasse Fibre ◽  
Grey Relational

In this present study, the fabrication of polymer composite matrix has been designed using the epoxy matrix and bagasse fibre. The most crucial operating parameters such as chemical treatment, volume fraction of fibre content, concentration of chemical, and soaking hours of fibre in the chemical were evaluated. Based on these parameters, the outcomes such as tensile strength, flexural strength, impact strength, hardness, inter laminar shear strength, and coefficient of friction were measured and evaluated. The optimisation of all the operating parameters against the various outcome parameters has been performed by Grey relational analysis. The analysis assist in making decisionto select the best optimum parameters by assigning the rank for the combined mechanical properties with respect to different operating input variables. The optimum combination of operating parameters determined was (i) chemical treatment – KMnO4 (ii) Volume fraction of fibre content – 30 wt % (iii) Concentration of chemical – 7% and (iv) soaking hours of fibre – 6 hours.

Multi-Response Optimization of EDM for Ti-6Al-4V Using Taguchi - Grey Relational Analysis

2017 ◽  
Vol 266 ◽  
pp. 43-50 ◽  
Author(s):  
Ritesh Joshi ◽  
Gopal Zinzala ◽  
Nishit Nirmal ◽  
Kishan Fuse
Keyword(s):  
Grey Relational Analysis ◽  
Removal Rate ◽  
Optimization Technique ◽  
High Strength ◽  
Operating Conditions ◽  
Electrode Wear ◽  
Relational Analysis ◽  
Grey Relational ◽  
Pulse On Time ◽  
Pulse Off Time

Ti-6Al-4V is a titanium alloy having high strength, low weight and corrosion resistant which is a required characteristic for a material to be used in aerospace industry. Titanium, being a hard alloy is difficult to the machine via conventional methods so it is a call to use non-conventional processes. In present work, the effects on Ti-6Al-4V by drilling a hole of Ø 6 mm using copper (99%) electrode in electric discharge machining (EDM) process is analyzed. Experiments were performed under different operating conditions of peak current, pulse-on time and pulse-off time. Multi-objective optimization technique Grey relational analysis is used for process optimization of material removal rate (MRR) and electrode wear rate (EWR). Experiments are designed using an L9 orthogonal array. ANOVA is used for finding most contributing parameter followed by confirmation tests for validating the results.

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