Computing Optimization of a Parallel Structure-Based Monolithic Gripper for Manipulation Using Weight Method-Based Grey Relational Analysis

2021 ◽  
Vol 12 (3) ◽  
pp. 39-74
Author(s):  
Ngoc Le Chau ◽  
Nhat Linh Ho ◽  
Tran The Vinh Chung ◽  
Shyh-Chour Huang ◽  
Thanh-Phong Dao

This study proposes an integration of the weight method and grey relational analysis to optimize a monolithic gripper. This gripper is desired for use in the assembling industry of cylindrical parts with diameters from 500 µm to 800 µm. The weight factor for each response is calculated accurately. Response surface methodology and Taguchi method are utilized to build an experiment matrix, and grey relational analysis is utilized to predict optimal results. The results found that the predicted displacement value is 0.5699 µm, and the predicted frequency value is 780.9 Hz. Compared to the initial design, the quality of responses is improved by 7.53% for the natural frequency and 35.29% for the output displacement. The error between the predicted result and the verified result is 1.15% for the natural frequency and 16.62% for the output displacement, respectively. It implies that the proposed method has a statistical accuracy.

Author(s):  
I.S.N.V.R. Prasanth ◽  
◽  
S. Nikitha ◽  
R. Pulsingh ◽  
M. Sampath ◽  
...  

The article presents the milled surface quality of Uni-Directional Carbon Fibre Reinforced Polymer (UD-CFRP) composites from Taguchi’s and grey relational analysis. The novelty is demonstrating the possibility of detecting the surface defects in polymer composites during milling using SEM analysis. The material used for this study is UD-CFRP composite laminates and made by hand-layup process. All the milling operations were carried out using a solid tungsten carbide end milling tool and experiments conducted on CNC milling machine. Taguchi L9, 3-level orthogonal array was considered for experimentation. Analysis of Variance (ANOVA) was conducted to explore the significance of each individual input process parameters on multiple performance characteristics. Optimal process parameters are thoroughly validated by grey relational grade achieved by the grey relational analysis for multi performance characteristics. Finally, experimental results were correlated and analyzed with scanning electron micrographs using Scanning Electron Microscope (SEM).


2012 ◽  
Vol 33 ◽  
pp. 1992-1998 ◽  
Author(s):  
Xiao-Cong Xiao ◽  
Xiang-Qun Wang ◽  
Kai-Yao Fu ◽  
Yi-Jiang Zhao

2019 ◽  
Vol 2 (1) ◽  
pp. 29-38 ◽  
Author(s):  
Peide Liu ◽  
Xiaoxiao Liu ◽  
Hongyu Yang

Purpose Accurately judging the quality of marine economic development is the premise of grasping the level and status of marine economic development. In order to scientifically evaluate the development quality of regional marine economy, the purpose of this paper is to select the marine area of Qingdao as the research object, and construct a marine economic development quality evaluation index system with 16 indicators. Design/methodology/approach The raw data is normalized by the range conversion method, and the weight of the index is determined by the information entropy model. Further, the grey relational analysis (GRA) method is used to evaluate the quality of marine economic development of Qingdao from 2012 to 2017. Findings The results show that the marine economic development capacity of Qingdao is with the generally increasing trend, the total marine economy is with on the rising trend, the marine storage and transportation capacity, and marine ecological environment are first decreased, and then increased. The utilization of marine resources is generally decreasing, and the comprehensive management of oceans varies with the changes of environment and economy. Therefore, in view of the development capacity of marine economy, the coordinated development of economy and environment should be carried out. Originality/value This paper uses the GRA to evaluate the quality of marine economic development and provides a reference for the development of marine economy in Qingdao.


Author(s):  
Angel R. Otero ◽  
Abdel Ejnioui ◽  
Carlos E. Otero ◽  
Gurvirender Tejay

In an era where dependence of information systems is significantly high, the threat of incidents related to information security that could jeopardize the information held by is becoming critical. Alarming facts within the literature point to inadequacies in information security practices, particularly the evaluation and prioritization of information security controls in organizations. Research efforts have resulted in various methodologies developed to deal with the ISC assessment problem. A closer look at these traditional methodologies highlights various weaknesses that can prevent effective assessments of information security controls in organizations. This research proposes a novel approach using Grey Relational Analysis to quantify the importance of each information security control taking into account organizations’ goals and objectives. Through a case study, the approach is proven successful in providing a way for measuring the quality of information security controls based on multiple application-specific criteria.


Filomat ◽  
2016 ◽  
Vol 30 (15) ◽  
pp. 4199-4211
Author(s):  
Chi-Hung Lo

Various factors affect the quality of a plastic product during the injection molding process. In this study, the quality engineering planning method, Taguchi Method, and grey relational analysis were used in this study to determine these factors and the Moldflow Plastics Insight (MPI) was used to conduct the moldflow analysis. By varying different types of operating conditions, the results obtained from the experiments were analyzed so as to verify the influence of each factor on the quality of the final product. The optimal processing parameters which can reduce the mold tryout time and the analysis cost were then determined. The plastic impeller of a computer cooling fan is selected as the case study and the goal is to resolve the warping problems. The deviations in the shear stress distribution as obtained by varying the S/N ratio of variance factors during the experiments are in agreement with the results of analyzing the grey information relational degrees. The most influential factor is the mold temperature, followed sequentially by the fill time, fill pressure, and melt temperature.


2017 ◽  
Vol 12 (7) ◽  
pp. 1934578X1701200
Author(s):  
Zi-Xiu Liu ◽  
Yu-Jiao Hua ◽  
Sheng-Nan Wang ◽  
Li-Si Zou ◽  
Xun-Hong Liu ◽  
...  

Prunellae Spica (PS) is an important traditional Chinese herbal medicine (TCM) with massive consumption because of its therapeutical and seasoning effects. However, little attention has been paid to simultaneous analyze its bioactive components for quality control of PS based on its different growing habitats and different growth periods. In this study, the quality of PS was evaluated based on simultaneous determination of multiple bioactive components combined with grey relational analysis (GRA). A reliable method based on high-performance liquid chromatography tandem triple quadrupole mass spectrometry (HPLC-QTRAP-MS/MS) was established to simultaneously determine the contents of 21 components in PS, including 9 phenolic acids, 3 coumarins, 8 flavonoids and 1 pentacyclic triterpene. Furthermore, GRA was performed to evaluate the quality of PS samples according to the contents of these 21 components. The results showed that the quality of PS harvested on withering period, cultivated in Anhui was better than that of other PS samples. The proposed method is useful for the overall assessment on the quality of PS, and this study provides valuable information for revealing the dynamic change laws of metabolite accumulation in PS and choosing the most suitable harvesting time and genuine producing area of PS to obtain the best quality.


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