scholarly journals Development of F-N-C-O Taguchi Method for Robust Measurement System Using a Case Study of T-Peel Test on Adhesion Strength

2020 ◽  
Vol 10 (18) ◽  
pp. 6203
Author(s):  
Rozzeta Dolah ◽  
Mohamad Zaki Hassan ◽  
Santhana Krishnan ◽  
Faizir Ramlie ◽  
Mohd Fadhil Md Din ◽  
...  
Keyword(s):  
Experimental Design ◽  
Optimum Condition ◽  
Taguchi Method ◽  
Measurement System ◽  
Peel Test ◽  
Test Method ◽  
Parameter Design ◽  
Practical Case ◽  
Noise Factors

A robust measurement system in the Taguchi Method as a testing method should be explained from the beginning of an experimental design until the application of the optimum condition. Measurement has always been described either by discussing the measurement concepts theoretically or demonstrating a case study on how the data measurement is being done practically. The distance between theory and practical case study that connects the test method used for measurement is always missing. In this paper, a case of T-peel test on strength measurement is used to reflect the robust measurement system, which includes the theory of experimental design together with methods to achieve the optimum condition. Seven control factors, two noise factors with one signal factor are used with orthogonal array L18. Not only the experiment results, but methodology on choosing the control, noise, and signal factors are described intensively. Therefore, the aims are to provide the procedure on evaluating optimum conditions, to analyze variability and optimization of T-peel test when measuring the strength, and to establish a mainstream flow to achieve high-quality experimental design for a robust measurement system. As a result, a robust measurement system that includes variation elimination is developed, which consists of four elements—F (function), N (noise), C (Control), and O (Optimization). The elements of the F-N-C-O system are connected to one another by the Plan-Do-Study-Act; P-D-S-A cycle. The results affect the existing measurement system by enlightening the black box of parameter design behind optimization results in Taguchi Method. Thus, the measurement is more convergent and obtain higher degree of confidence in parameter design.

Outliers Effect in Measurement Data for T-peel Adhesion Test using Robust Parameter Design

2014 ◽  
Vol 68 (4) ◽  
Author(s):  
Rozzeta Dolah ◽  
Zenichi Miyagi ◽  
Bo Bergman
Keyword(s):  
Optimum Condition ◽  
Linear Regression Analysis ◽  
Measurement Data ◽  
Parameter Design ◽  
Practical Case ◽  
Adhesion Test ◽  
Data Measurement ◽  
Peel Adhesion ◽  
The Impact

As many researches focused on application of robust design engineering in practical case study, very less concerned on the criticality to data measurement system in parameter design. This paper will emphasize on the importance to be critical to data obtained during experiment. The existence of outliers is often ignored and the impact overlooked, thus endanger the results by producing false alarm and giving completely wrong parameter setting. The optimum condition from the data that contains outliers is compared with the corrected data measurement. The finding presents the indication procedure on how to confirm whether the data is reliable or not for evaluation. The data is unreliable when two main indicators are detected. Firstly, the measurement data plot detects outlier through linear regression analysis as it does not belong on the linear line. Secondly, poor reproducibility presented by estimation and confirmation of signal-to-noise ratio. This failure affects the experimental design and lead to wrong optimum condition. T-peel adhesion test using orthogonal array L9 is done as a case study to elucidate the detection of outlier and outlier effect on optimum condition. 

scholarly journals Taguchi’s Parameter Design in Industrial Practice - Statistical Aspects

2016 ◽  
Vol 29 (2) ◽  
pp. 113-122
Author(s):  
Petra Rodiga-Laßnig ◽  
Klemens Fuchs
Keyword(s):  
Experimental Design ◽  
Parameter Design ◽  
Real Case ◽  
Personal Care ◽  
Industrial Practice ◽  
Personal Care Product ◽  
Care Product ◽  
Controllable Factors

Experimental design had little importance in industry until Taguchi’s ideas changed the approach to quality completely. Nowadays, it is well known that quality has to be designed “into” products and cannot be reached by inspecting and sorting before delivering. The aim of Taguchi’s Parameter Design is to create robust products insensitive tomanufacturing processes and more over insensitive to noise (or uncontrollable) factors in the customer’senvironment by finding the most important controllable factors. In this real case study Taguchi’s ideas were applied to a rather complex personal care product to improve its performance.

Optimization of the Paper Permeability Tester using Robust Design

2014 ◽  
Vol 68 (4) ◽  
Author(s):  
K. Watanabe ◽  
Z. Miyagi ◽  
R. Dolah ◽  
K. Takahashi
Keyword(s):  
Optimum Condition ◽  
Robust Design ◽  
Strong Influence ◽  
Signal To Noise Ratio ◽  
Practical Case ◽  
Unstable Flow ◽  
Flow Sensitivity ◽  
Control Factors ◽  
Measurement Results

This paper is using practical case study of robust design engineering. Effect of control factors and optimum condition is studied to design a more robust Paper Permeability Tester. In this study, robustness means decreasing uncertainty that is validity of measurement results with the Tester. Robustness is required to ensure the reliabilityfor the measurement results in the field of the measurement tester. Thus, orthogonal array L18 is employed and the optimum condition was obtained for decreasing the measurement dispersion. Experiment reproducibility of Signal-to-Noise Ratio and sensitivity were confirmed within 20%. SNR value is linearly depends on air permeance value. When the value of air permeance is small, it tends to provide small SNR. Flow rate in nozzle was considered as a major cause. Stability of flow in the nozzle is significant to design the Tester to be more robustness.In a case of a flow under the rapidly, SNR is small due unstable flow. Sensitivity with nozzle diameter was dramatically large. Nozzle specification tolerance wasfound to have strong influence on measurement result.

scholarly journals Taguchi Method as a Robust Design Tool

2020 ◽  
Author(s):  
Coşkun Hamzaçebi
Keyword(s):  
Experimental Design ◽  
Taguchi Method ◽  
Robust Design ◽  
Orthogonal Arrays ◽  
Design Tool ◽  
Performance Characteristics ◽  
Statistical Experimental Design ◽  
Powerful Technique ◽  
Target Value

Taguchi Method is a powerful technique to optimize performance of the products or process. Taguchi’s main purpose is to reduce the variability around the target value of product properties via a systematic application of statistical experimental design which called robust design. Robust Design is an important technique for product manufacturability and product life. Taguchi simplified the usage of orthogonal arrays to setup experimental design. Thanks to this development, researchers and engineers saved both time and money. Furthermore, Taguchi proposed the usage of S/N ratio in order to measure the effects of factors on the performance characteristics. In this study a brief knowledge about the Taguchi Method is given. Orthogonal Arrays and S/N ratios are described. Summary of a case study is given.

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