scholarly journals Optimal Performance of Caps’ Pressing Process Using Taguchi-Grey Method

2019 ◽  
Vol 13 (2) ◽  
pp. 275
Author(s):  
Abbas Al-Refaie ◽  
Rami H. Fouad ◽  
Nour Bata
Keyword(s):  
Grey Relational Analysis ◽  
Control Charts ◽  
Cost Savings ◽  
Quality Characteristics ◽  
Quality Characteristic ◽  
Outer Diameter ◽  
Process Factor ◽  
Relational Analysis ◽  
Pressing Process ◽  
Grey Relational

This paper aims at improving the performance of caps’ pressing process using Taguchi-grey relational analysis. Five main quality characteristics were considered, involving cap’s height, inner diameter, outer diameter, angle, and plastic weight. The individual and moving range control charts were constructed for each quality characteristic. Then, process capability analysis was then carried out to assess process performance at initial process factor settings, at which the process was found incapable in producing conforming caps for some quality characteristics. Thus, the Taguchi’s designed experiments were employed to provide experimental layout followed by the grey relational analysis to determine the combination of optimal factor settings. Results showed significant in almost all the five quality responses and thereby resulted in huge production and quality cost savings. 

Study in MAF of AISI304 Material Using Grey Relational Analysis

2013 ◽  
Vol 675 ◽  
pp. 331-336
Author(s):  
Han Ming Chow ◽  
Wei Liang Ku ◽  
Ching Tien Lin ◽  
Yan Cherng Lin ◽  
Lieh Dai Yang
Keyword(s):  
Surface Roughness ◽  
Grey Relational Analysis ◽  
High Efficiency ◽  
Cnc Machining ◽  
Quality Characteristic ◽  
New Approach ◽  
Magnetic Abrasive Finishing ◽  
Relational Analysis ◽  
Abrasive Finishing ◽  
Grey Relational

The purpose of this study was using a new approach of grey relational analysis based on Taguchi experimental design to employ the magnetic abrasive finishing (MAF) method to process the stainless AISI304 material on surface abrasive operations. The operations were demonstrated in the permanent magnetic polishing mechanism, it was installed in the CNC machining center. The operations of the parameters such as magnetic field, pole revolution, feed rate, working gap, abrasive, and lubricant, were considered. The confirmation experiments showed the optimal operational condition of surface roughness. The collected data were analyzed using a new approach of grey relational analysis to establish of abrasive magnetic finishing parameter and quality characteristic. The optimal parameter condition to process the stainless AISI304 material was conducted using two stage processes; prior to the rough polishing, the Rmax value was equal to 2.572 μm, Rmax value was 0.10 μm after the finished polishing. It could be concluded that magnetic abrasive finishing was one of the excellent technologies of getting good surface roughness with high efficiency.

Effect of Process Parameters on Performance Measures in CNC Turning Using One Factor at a Time Approach for SS304

2016 ◽  
Vol 854 ◽  
pp. 26-32
Author(s):  
M. Fakkir Mohamed ◽  
B. Praveen Kumar ◽  
P.L. Madhavan ◽  
M. Pradeep
Keyword(s):  
Process Parameters ◽  
Grey Relational Analysis ◽  
Optimal Parameter ◽  
Numerical Control ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Cnc Turning ◽  
Process Factor ◽  
Relational Analysis ◽  
Grey Relational

This work extent with the improvement of machining parameters in turning of SS304 austenitic stainless-steel in Computer Numerical Control (CNC) shaping machine by victimization of coated inorganic compound tools. Throughout the experiment, process parameters like Speed, Feed and Depth of Cut are used to inquire their general intent on the Surface Roughness (Ra) and Material Removal Rate (MRR) as the quality targets. 9 experimental runs supported by one factor at a Time Approach as Design of Experiment and Grey Relational Analysis (GRA) method is applied to see associate degree for optimum CNC turning parameter setting. An optimal parameter combination of the turning method is obtained by victimization of Grey Relational Analysis. By dissecting the Grey Relational Grade matrix, the degree of influence for every controllable process factor onto individual quality targets is found for the higher performance characteristics.

scholarly journals Effect of Nano-coating on Molten Salts for Turbine Blades

2020 ◽  
pp. 54-63
Author(s):  
Abbas Khammas ◽  
Haider Hashim Abbas
Keyword(s):  
Analysis Of Variance ◽  
Master Alloy ◽  
Grey Relational Analysis ◽  
Turbine Blades ◽  
Diffusion Coating ◽  
Quality Characteristics ◽  
Pack Cementation ◽  
Relational Analysis ◽  
Nano Coating ◽  
Grey Relational

The purpose of this study is to optimize hot corroded pack coated Ni-based superalloy K417G using grey relational analysis. Optimization of the pack cementation parameters was performed using quality characteristics of diffusion coatings for pack cementation process, i.e., salt activator, Nano-powders master alloy powder, and wt.% Y2O3. Analysis of variance (ANOVA) was used for observing the most influencing pack cementation parameters on the quality characteristics, i.e., Na2So4-6% wt. V2O5 (kp1), 100 wt% NaSO4 (kp2), and 75 wt. % NaSO4-25 wt % NaCl (kp3).  The optimal process parameters were calculated using a grey relation grade and a confirmation test was performed. Based on the analysis of variance results, the wt.% Y2O3 is the most significant controllable diffusion coating factor for the hot corroded pack coated K417G at optimum setting conditions (A2, B3, C3) i.e., activator (NaCl), master alloy (94Cr-6Al), and wt.%Y2O3 (4%). according to the quality characteristics. Grey relational analysis was successfully applied to the optimization of hot corroded pack coated K417G using multi-performance characteristics.

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