scholarly journals Hexahedral Mesh Quality Improvement with Geometric Constraints

2021 ◽  
Author(s):  
wei peng ◽  
Xinguang Wu ◽  
Yidong Bao ◽  
Chaoyang Zhang ◽  
Weixi Ji
Keyword(s):  
Quality Improvement ◽  
Geometric Constraints ◽  
Mesh Quality ◽  
Quality Improvements ◽  
Hexahedral Mesh ◽  
Different Types ◽  
Hexahedral Meshes ◽  
Improvement Method ◽  
Quality Improvement Method

Abstract Hexahedral mesh is of great value in the analysis of mechanical structure, and the mesh quality has an important impact on the efficiency and accuracy of the analysis. This paper presents a quality improvement method for hexahedral meshes, which consists of node classification, geometric constraints based single hexahedron regularization and local hexahedral mesh stitching. The nodes are divided into different types and the corresponding geometric constraints are established in single hexahedron regularization to keep the geometric shapes of original mesh. In contrast to the global optimization strategies, we perform the hexahedral mesh stitching operation within a few local regions surrounding elements with undesired quality, which can effectively improve the quality of the mesh with less consuming time. A number of mesh quality improvements for hexahedral meshes generated by a variety of methods are introduced to demonstrate the effectiveness of our method.

scholarly journals Metode DMAIC Sebagai Solusi Pengendalian Kualitas Produksi Sepatu Tambang: Studi Kasus PT Mangul Jaya-Bekasi

2012 ◽  
Vol 3 (1) ◽  
pp. 509
Author(s):  
Hendy Tannady Tan
Keyword(s):  
Quality Improvement ◽  
Product Quality ◽  
Control Method ◽  
Phase Measurement ◽  
Process Capability ◽  
Improvement Method ◽  
Measuring Tool ◽  
And Control ◽  
Quality Improvement Method

One way to increase profitability internally in PT Mangul Jaya - Bekasi is decreasing any costs produced from poor product quality by producing shoes with good quality. This study uses the DMAIC (define, measure, analyze, improve, control) method as a measuring tool. DMAIC is a quality improvement method that directly solves any problems related to the quality of a product even the primary cause of it. From the results of the study it is concluded that at the phase “define” shoes type Cheetah is the most problematic. Furthermore, on phase “measurement” it is identified that the Cp value of the Cheetah is below 1 which means that the process capability is low. After passing through the three sequencing steps (analyze, improve and control), finally this research is able to reduce the defects that occur in the shoes type Cheetah.

scholarly journals Green Quality Improvement Using Six Sigma Method

2020 ◽  
Vol 5 (8) ◽  
pp. 583-588
Author(s):  
Sutrisno Harianto ◽  
Ellysa Nursanti
Keyword(s):  
Quality Improvement ◽  
Six Sigma ◽  
Raw Materials ◽  
Improvement Method ◽  
World Class ◽  
Quality Of Products ◽  
And Control ◽  
Level 2 ◽  
Quality Improvement Method

Traditional cast brass handicrafts Majapahit is one of the nation's cultural heritage which has a high historical value. The uniqueness and quality become the hallmark of this craft products. The results of handmade products such as sculptures, wall hangings, souvenirs, ornaments doors and so on. To increase the sales of traditional handicrafts of brass castings, required Majapahit applicative technical efforts in improving the quality of products which are ecofriendly. Quality improvement method such as Six sigma. Six sigma focuses on decreasing flawed rate, by reaching the standard 3, 4 flawed in a thousand possibility. Six sigma has 5 phases; define, measure, analyze, improvement, and control. In this research, six sigma is applied in producing cast brass handicraft starting from making the master mold, preparation of smelting raw materials, cooling process, releasing of the mold, and finishing. Purposefully to improve the quality by overcoming and decreasing the high of flawed possibility and also applying marketing mixture in improving the market segmentation of traditional cast brass of Majapahit market. The result is quality improvement is shown by decreasing happen in number of flawed product in total of mean for about 154, 8 decreased to 59,5. While the calculation of the six sigma, flawed product of cast brass handicraft is for about 1,7625 sigma value or being in level 2 and increased to 3,725 or being in level 4 with the flawed possibility in amount 235,000 for thousand times of production. The ability of production for the requirement which is wanted by the consumers and owning a good enough capability but still needed some correction to achieve world class home industry

scholarly journals A Novel Mesh Quality Improvement Method for Boundary Elements

2012 ◽  
Vol 2012 ◽  
pp. 1-13
Author(s):  
Hou-lin Liu ◽  
Cui Dai ◽  
Liang Dong ◽  
Ming-gao Tan
Keyword(s):  
Topology Optimization ◽  
Weight Coefficient ◽  
Mesh Quality ◽  
Practical Application ◽  
New Approach ◽  
Discrete Surfaces ◽  
Improvement Method ◽  
Quality Improvement Method ◽  
Better Than

In order to improve the boundary mesh quality while maintaining the essential characteristics of discrete surfaces, a new approach combining optimization-based smoothing and topology optimization is developed. The smoothing objective function is modified, in which two functions denoting boundary and interior quality, respectively, and a weight coefficient controlling boundary quality are taken into account. In addition, the existing smoothing algorithm can improve the mesh quality only by repositioning vertices of the interior mesh. Without destroying boundary conformity, bad elements with all their vertices on the boundary cannot be eliminated. Then, topology optimization is employed, and those elements are converted into other types of elements whose quality can be improved by smoothing. The practical application shows that the worst elements can be eliminated and, with the increase of weight coefficient, the average quality of boundary mesh can also be improved. Results obtained with the combined approach are compared with some common approach. It is clearly shown that it performs better than the existing approach.

The Research and Application of DMAIC Quality Improvement Method in Chips Welding Line of T Company

2014 ◽  
Vol 543-547 ◽  
pp. 1227-1230
Author(s):  
Hong Na Guo ◽  
Jun Ming Zhu
Keyword(s):  
Quality Improvement ◽  
Quality Data ◽  
Orthogonal Experimental Design ◽  
Optimum Process ◽  
Welding Defects ◽  
Welding Line ◽  
Improvement Method ◽  
Quality Of Products ◽  
Quality Improvement Method

DMAIC model is applied to improve the high welding defects in a welding line program of T company, and the quality data was analyzed by Minitab software. Firstly, define the project scope for improvement and the type of weld defects is measured; Secondly, analysis the cause of the main strength of welding defects with the help of brainstorming method. After that, the optimum process parameters are determined by orthogonal experimental design. Finally, all of these works makes defects reduced to 3500ppm,which improves the quality of products greatly and reduce the loss of production.

Quality improvement of smart senior care service platform in China based on grey relational analysis and Fuzzy-QFD

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lan Xu ◽  
Yu Zhang
Keyword(s):  
Quality Improvement ◽  
Grey Relational Analysis ◽  
Care Service ◽  
The Elderly ◽  
Service Platform ◽  
Content Type ◽  
Relational Analysis ◽  
Improvement Method ◽  
Grey Relational ◽  
Quality Improvement Method

PurposeSmart senior care industry in China currently faces a series of practical difficulties such as an imbalance in the demand and supply structure, service products unable to cater to the actual needs of the elderly and a low degree of marketization. This study therefore proposes using grey relational analysis and the Fuzzy-quality function development (QFD) quality improvement method to help solve these problems.Design/methodology/approachThe proposed method converts the fuzzy requirements of the elderly into the technical characteristics of technologically augmented senior care service products. It then, uses the QFD relationship matrix, combined with grey relational analysis, to analyze the relationship between the needs of elderly and the converted technical characteristics, and subsequently identifies key technical characteristics.FindingsResults show that an improvement in the smart senior care service platform according to the differences of the elderly's preferences can significantly improve users' satisfaction with the service in addition to enhancing market competitiveness of the technologically assisted senior care service products.Originality/valueA novel method to improve the need of smart senior care is proposed by considering age difference. The proposed grey relational analysis and Fuzzy-QFD quality improvement method can help improve the service quality of the smart senior care service platform.

Gradient Constrained Microscopic Imaging Quality Improvement Method with Objective Lens Measurement

2017 ◽  
Vol 54 (11) ◽  
pp. 111001
Author(s):  
黄奕龙 Huang Yilong ◽  
赵巨峰 Zhao Jufeng ◽  
张克奇 Zhang Keqi ◽  
华玮平 Hua Weiping ◽  
崔光茫 Cui Guangmang
Keyword(s):  
Quality Improvement ◽  
Objective Lens ◽  
Microscopic Imaging ◽  
Imaging Quality ◽  
Improvement Method ◽  
Quality Improvement Method

A Face Clustering Method for a Hexahedral Meshing

2003 ◽  
Author(s):  
Jun Doi ◽  
Atsushi Yamada ◽  
Keisuke Inoue
Keyword(s):  
Manufacturing Industry ◽  
Dimensional Space ◽  
Difficult Problem ◽  
Hexahedral Mesh ◽  
Element Analysis ◽  
Intermediate Model ◽  
3 Dimensional ◽  
Face Clustering ◽  
Hexahedral Meshes

Finite element analysis has become a key technology for a design process of manufacturing industry. A hexahedral mesh is focused, because using a hexahedral mesh increases the quality of analysis. However it is very difficult problem to generate high quality hexahedral meshes, and there are many challenging research topics. Our goal is to develop a method to generate hexahedral meshes automatically to general volumes. Our method uses an intermediate model to recognize the input volume. The intermediate model is defined in the integer 3-dimensional space, and faces of the intermediate model are vertical to coordinate axes. Hexahedral mesh is generated by dividing the intermediate model into integer grids, and blocks of grids are projected into original volume. In this paper, we describe the method to generate a topology of the intermediate model. We use face clustering technique to generate the topology of the intermediate model. The faces of the input volume are clustered into 6 types; according to 3 coordinate axes and its direction, and clustered faces will be the faces of the intermediate model.

A Framework for Finite Element Mesh Quality Improvement and Visualization in Orthopaedic Biomechanics

2009 ◽  
Author(s):  
Kiran H. Shivanna ◽  
Srinivas C. Tadepalli ◽  
Vincent A. Magnotta ◽  
Nicole M. Grosland
Keyword(s):  
Finite Element ◽  
Quality Improvement ◽  
Biological Processes ◽  
Mesh Quality ◽  
The Finite Element Method ◽  
Element Mesh ◽  
Invaluable Tool ◽  
Finite Element Meshing ◽  
Mesh Quality Improvement

The finite element method (FEM) is an invaluable tool in the numerical simulation of biological processes. FEM entails discretization of the structure of interest into elements. This discretization process is termed finite element meshing. The validity of the solution obtained is highly dependent on the quality of the mesh used. Mesh quality can decrease with increased complexity of the structure of interest, as is often evident when meshing biologic structures. This necessitated the development/implementation of generalized mesh quality improvement algorithms.

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