The use of the Taguchi method and principal component analysis for the sensitivity analysis of a dual-purpose six-bar mechanism

2008 ◽  
Vol 223 (3) ◽  
pp. 733-741 ◽  
Author(s):  
F C Chen ◽  
Y F Tzeng ◽  
W R Chen ◽  
M H Hsu
Keyword(s):  
Principal Component Analysis ◽  
Taguchi Method ◽  
Principal Component ◽  
Component Analysis ◽  
Dual Purpose ◽  
Control Factors ◽  
Response Table ◽  
Key Dimensions ◽  
The Cost

In this paper, the Taguchi method and the principal component analysis were applied to a dual-purpose six-bar mechanism for investigating the influence of manufacturing tolerance and joint clearance on the quality of the mechanism. Experiments were carried out based on the orthogonal array from the Taguchi method, which calculated the S/ N ratios of the positional and angular errors of a dual-purpose six-bar mechanism. Using the principal component analysis, the S/ N ratios were transformed into a multiple performance index to further understand the effect of the control factors on the quality of the six-bar mechanism. Using the analysis of response table and response diagram, the key dimensions of the mechanism could be identified and their tolerance optimized, i.e. decreasing the tolerance of important dimensions and increasing the rest, with the objective of simultaneously improving the quality of the mechanism and reducing the cost.

COMBINING TAGUCHI METHOD, PRINCIPAL COMPONENT ANALYSIS AND FUZZY LOGIC TO THE TOLERANCE DESIGN OF A DUAL-PURPOSE SIX-BAR MECHANISM

2010 ◽  
Vol 34 (2) ◽  
pp. 277-293 ◽  
Author(s):  
Fu-Chen Chen ◽  
Yih-Fong Tzeng ◽  
Meng-Hui Hsu ◽  
Wei-Ren Chen
Keyword(s):  
Principal Component Analysis ◽  
Fuzzy Logic ◽  
Taguchi Method ◽  
Hybrid Approach ◽  
Principal Component ◽  
Component Analysis ◽  
Tolerance Design ◽  
Dual Purpose ◽  
Control Factors ◽  
Key Dimensions

A hybrid approach of combining Taguchi method, principal component analysis and fuzzy logic for the tolerance design of a dual-purpose six-bar mechanism is proposed. The approach is to firstly use the Taguchi orthogonal array to carry out experiments for calculating the S/N ratios of the positional errors to the angular error of the dual-purpose six-bar mechanism. The principal component analysis is then applied to determine the principal components of the S/N ratios, which are transformed via fuzzy logic reasoning into a multiple performance index (MPI) for further analysis of the effect of each control factors on the quality of the mechanism. Through the analysis of response table and diagram, key dimensional tolerances can be classified, which allows the decision of either to tighten the key tolerances to improve mechanism quality or to relax the tolerance of non-key dimensions to reduce manufacturing costs to be made.

Research on Optimal Cutting Parameters of High-Speed Hard Machining Based on the Principal Component Analysis and Taguchi Method

2012 ◽  
Vol 233 ◽  
pp. 343-346
Author(s):  
Wen Hui Cao ◽  
Hong Bin Liu ◽  
Shen Song Wang ◽  
Ting Yang
Keyword(s):  
Principal Component Analysis ◽  
Taguchi Method ◽  
High Speed ◽  
Cutting Speed ◽  
Principal Component ◽  
Cutting Parameters ◽  
Component Analysis ◽  
Hard Machining ◽  
Optimal Cutting Parameters

The optimization of the parameters in high-speed milling was analyzed based on the principal component analysis and the Taguchi method. The cutting speed, feed per tooth and cutting depth were selected as the cutting parameters while the cutting force, cutting power and surface roughness parameters were selected as quality characteristics. The optimum cutting parameters were obtained and the comprehensive quality of high - speed hard machining has been guaranteed.

Optimization of Process Parameters for Submerged Arc Welding by Weighted Principal Component Analysis Based Taguchi Method

2012 ◽  
Vol 622-623 ◽  
pp. 45-50 ◽  
Author(s):  
Joydeep Roy ◽  
Bishop D. Barma ◽  
J. Deb Barma ◽  
S.C. Saha
Keyword(s):  
Principal Component Analysis ◽  
Taguchi Method ◽  
Arc Welding ◽  
Principal Component ◽  
Traverse Speed ◽  
Component Analysis ◽  
Submerged Arc Welding ◽  
Bead Geometry ◽  
Weighted Principal Component ◽  
Submerged Arc

In submerged arc welding (SAW), weld quality is greatly affected by the weld parameters such as welding current, traverse speed, arc voltage and stickout since they are closely related to weld joint. The joint quality can be defined in terms of properties such as weld bead geometry and mechanical properties. There are several control parameters which directly or indirectly affect the response parameters. In the present study, an attempt has been made to search an optimal parametric combination, capable of producing desired high quality joint in submerged arc weldment by Taguchi method coupled with weighted principal component analysis. In the present investigation three process variables viz. Wire feed rate (Wf), stick out (So) and traverse speed (Tr) have been considered and the response parameters are hardness, tensile strength (Ts), toughness (IS).

scholarly journals Genetic Evaluation of Dual-Purpose Buffaloes (Bubalus bubalis) in Colombia Using Principal Component Analysis

PLoS ONE ◽  
2015 ◽  
Vol 10 (7) ◽  
pp. e0132811 ◽  
Author(s):  
Divier Agudelo-Gómez ◽  
Sebastian Pineda-Sierra ◽  
Mario Fernando Cerón-Muñoz
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Bubalus Bubalis ◽  
Genetic Evaluation ◽  
Dual Purpose

scholarly journals Neural network design and feature selection using principal component analysis and Taguchi method for identifying wood veneer defects

2014 ◽  
Vol 2 (1) ◽  
pp. 291-308 ◽  
Author(s):  
Baris Yuce ◽  
Ernesto Mastrocinque ◽  
Michael Sylvester Packianather ◽  
Duc Pham ◽  
Alfredo Lambiase ◽  
...  
Keyword(s):  
Neural Network ◽  
Principal Component Analysis ◽  
Feature Selection ◽  
Taguchi Method ◽  
Network Design ◽  
Principal Component ◽  
Component Analysis ◽  
Wood Veneer

scholarly journals Discrimination of Natural Mature Acacia Honey Based on Multi-Physicochemical Parameters Combined with Chemometric Analysis

Molecules ◽  
2019 ◽  
Vol 24 (14) ◽  
pp. 2674 ◽  
Author(s):  
Tianchen Ma ◽  
Haoan Zhao ◽  
Caiyun Liu ◽  
Min Zhu ◽  
Hui Gao ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Physicochemical Parameters ◽  
Phenolic Content ◽  
Principal Component ◽  
Component Analysis ◽  
Chemometric Analysis ◽  
Total Phenolic ◽  
Total Protein Content ◽  
Acacia Honey

Honey maturity is an important factor in evaluating the quality of honey. We established a method for the identification of natural mature acacia honey with eighteen physicochemical parameters combined with chemometric analysis. The analysis of variance showed significant differences between mature and immature acacia honey in physicochemical parameters. The principal component analysis explained 82.64% of the variance among samples, and indicated that total phenolic content, total protein content, and total sugar (glucose, fructose, sucrose) were the major variables. The cluster analysis and orthogonal partial least squares-discriminant analysis demonstrated that samples were grouped in relation to the maturity coinciding with the results of the principal component analysis. Meanwhile, the 35 test samples were classified with 100% accuracy with the method of multi-physicochemical parameters combined with chemometric analysis. All the results presented above proved the possibility of identifying mature acacia honey and immature acacia honey according to the chemometric analysis based on the multi-physicochemical parameters.

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