Grey Prediction on Sheared Edge Quality in Precision Blanking Process for Micro IT Parts

2011 ◽  
Vol 266 ◽  
pp. 122-125
Author(s):  
Bo Wang ◽  
Jing Bo Chen
Keyword(s):  
Prediction Model ◽  
Product Quality ◽  
Grey Prediction ◽  
Grey System ◽  
Time Increment ◽  
Sheared Edge ◽  
Edge Quality ◽  
Burr Width ◽  
Blanking Process

Sheared edge quality of micro IT parts is an important standard to evaluate product quality. In this paper, a prediction model of sheared edge quality based on grey prediction is studied. By mapping the stroke and the burr width to be the time increment and the eigenvalue of grey system, the grey prediction model was established. The dynamic regularity of burr in actual production was attained from the precision blanking experiment and the prediction of burr width was performed. The results show that the model can predict burr width accurately and needs less sampling data. Thus, it is fit for the requirement of manufacturing.

scholarly journals Application of a Fractional Grey Prediction Model Based on a Filtering Algorithm in Image Processing

2020 ◽  
Vol 2020 ◽  
pp. 1-18
Author(s):  
Mingyu Tong ◽  
Kailiang Shao ◽  
Xilin Luo ◽  
Huiming Duan
Keyword(s):  
Image Processing ◽  
Prediction Model ◽  
Grey System Theory ◽  
Grey Prediction ◽  
Grey System ◽  
Middle Point ◽  
Filtering Algorithm ◽  
Grey Correlation ◽  
Grey Prediction Model ◽  
Model Based

Image filtering can change or enhance an image by emphasizing or removing certain features of the image. An image is a system in which some information is known and some information is unknown. Grey system theory is an important method for dealing with this kind of system, and grey correlation analysis and grey prediction modeling are important components of this method. In this paper, a fractional grey prediction model based on a filtering algorithm by combining a grey correlation model and a fractional prediction model is proposed. In this model, first, noise points are identified by comparing the grey correlation and the threshold value of each pixel in the filter window, and then, through the resolution coefficient of the important factor in image processing, a variety of grey correlation methods are compared. Second, the image noise points are used as the original sequence by the filter pane. The grey level of the middle point is predicted by the values of the surrounding pixel points combined with the fractional prediction model, replacing the original noise value to effectively eliminate the noise. Finally, an empirical analysis shows that the PSNR and MSE of the new model are approximately 27 and 140, respectively; these values are better than those of the comparison models and achieve good processing effects.

Study of the punch–die clearance influence on the sheared edge quality of thick sheets

2012 ◽  
Vol 65 (1-4) ◽  
pp. 451-457 ◽  
Author(s):  
J. A. Soares ◽  
M. L. Gipiela ◽  
S. F. Lajarin ◽  
P. V. P. Marcondes
Keyword(s):  
Sheared Edge ◽  
Edge Quality

scholarly journals Multivariate Grey Prediction Model with Priority Accumulation of New Information

2021 ◽  
Vol 248 ◽  
pp. 02009
Author(s):  
Lanxi Zhang
Keyword(s):  
Prediction Model ◽  
Absolute Error ◽  
Good Effect ◽  
Grey Prediction ◽  
Grey System ◽  
Engineering Project ◽  
Average Percentage ◽  
Grey Prediction Model ◽  
New Information ◽  
Proposed Model

According to the new information priority principle of grey system, this paper tries to optimize the traditional multivariate grey prediction model. Firstly, the basic theory of the traditional grey prediction model is put forward. Based on this, the background value is improved by using the new information priority principle, and the cumulative generation with parameters is defined. Taking the settlement trend of A4# building of an engineering project in Anhui province as an example, the model is applied to the settlement analysis, and the proposed model is compared with the existing grey prediction model, the average percentage absolute error between the predicted value and the observed value is calculated, and the regression graphs of each model are drawn. Through the analysis, we can see that the established model has achieved a good effect, and then verified the practicability and reliability of the proposed model.

Comparison of Fine and Conventional Blanking Based on Ductile Fracture Criteria

Volume 3 ◽  
2004 ◽  
Author(s):  
Farid R. Biglari ◽  
Amir Tavakoli Kermani ◽  
Mohammad Habibi Parsa ◽  
Kamran M. Nikbin ◽  
Noel P. O’Dowd
Keyword(s):  
Finite Element ◽  
Research Work ◽  
Dimensional Accuracy ◽  
Fracture Path ◽  
Fine Blanking ◽  
Sheared Edge ◽  
Small Clearance ◽  
Finite Element Procedure ◽  
Edge Quality ◽  
Blanking Process

A comparison between fine and conventional blanking is carried out in this paper. In the fine blanking process, V-ring indentation is applied to create hydrostatic pressure and prevent premature fracture in an undesired direction. Furthermore, a small clearance between the punch and die is employed along with a counterforce punch that causes concentrated strain in the sheared band region. A fracture mechanics oriented finite element procedure has been employed in this research work in order to obtain the fracture path. The fracture path is found according to the stress and strain histories which are calculated in each element. The numerical results have shown that the sheared edge quality in the blanking process is strongly influenced by the fracture path. In fine blanking, there are various parameters affecting the sheared edge quality and dimensional accuracy. The finite element calculation is carried out for an axisymmetric model. The commercial finite element code ABAQUS V6.2 is employed along with a controlling program that is written in Visual BASIC.

scholarly journals Forecasting Oil Consumption with Novel Fractional Grey Prediction Model Based on Simpson Formula

2019 ◽  
pp. 1-27
Author(s):  
Xiwang Xiang ◽  
Peng Zhang ◽  
Lang Yu
Keyword(s):  
Prediction Model ◽  
Prediction Accuracy ◽  
Model Error ◽  
Grey System Theory ◽  
Human Society ◽  
Grey Prediction ◽  
Oil Consumption ◽  
Grey System ◽  
Grey Prediction Model ◽  
Grey Models

With the development of human society, the evolving transition of energy will become a common challenge that mankind has to face together. In this context, it is crucial to make scientific and reasonable predictions about energy consumption. This paper presents a novel fractional grey prediction model FGM(1,1,k2) based on the classical fractional grey system theory. In order to improve the prediction accuracy of the FGM(1,1,k2) model, we further analyze the model error and propose improved grey model called as SFGM with optimization of background value. The numerical cases point out that SFGM(1,1,k2) significantly outperforms other existing fractional grey models. Finally, the proposed SFGM(1,1,k2) is applied to the forecasting of oil consumption, the predicted results would provide a reference for making energy policy in new situations.

Application of Grey Prediction Model in Electric Power Consumption in Shandong Province

2012 ◽  
Vol 524-527 ◽  
pp. 3021-3026
Author(s):  
Ke Ying Zhang ◽  
Jing Zhao ◽  
Yang Dong Li
Keyword(s):  
Power Consumption ◽  
Prediction Model ◽  
Electric Power ◽  
Forecast Accuracy ◽  
Reference Value ◽  
Shandong Province ◽  
Electric Power Consumption ◽  
Grey Prediction ◽  
Grey System ◽  
Grey Prediction Model

This paper takes Shandong Province as an example, by using grey system forecast theory; the GM (1, 1) model of electric power consumption is established. The electric power consumption from 2011 to 2015 in Shandong Province is forecasted and the forecast accuracy is verified, which offers the reference value for Shandong Province electric power planning in the future.

Study for Sheared Edge Quality of High Strength Steel Sheet

2014 ◽  
Vol 626 ◽  
pp. 252-257
Author(s):  
Soo Sik Han
Keyword(s):  
Process Parameters ◽  
High Strength Steel ◽  
Steel Sheet ◽  
High Strength ◽  
Material Strength ◽  
Burr Height ◽  
Sheared Edge ◽  
Edge Quality ◽  
Line Direction

The empirical approach was adopted to investigate the process parameters that effect on the quality of high strength steel sheet sheared edge. As a result of study, the quality of sheared edge that can be represented as the ratio of the shiny burnished surface to the sheared surface was not under influence of die clearance, lubrication and cutting line direction but under influence of the material strength and the usage of lower pad. The roll-over and burr height is highly affected by the die clearance and the usage of lower pad. The lower pad underneath of blank is of help to reduce the amount of roll-over and burr even at large die clearance.

PENGARUH KUALITAS PRODUK DAN RELIGIUSITAS TERHADAP KEPUTUSAN NASABAH PRODUK SIMPANAN PADA BSM CABANG PURWOKERTO

2017 ◽  
Vol 4 (1) ◽  
pp. 189-215
Author(s):  
Yoiz Shofwa Shafrani
Keyword(s):  
Regression Analysis ◽  
Product Quality ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Analytical Tool ◽  
The Other ◽  
Financial Assets ◽  
Islamic Bank

Perkembangan dunia perbankan syariah tidak lepas dari peran para nasabah yang memberikan kepercayaan terhadap pihak perbankan untuk penyimpanan asset keuangannya. Faktanya banyak kelompok nasabah yang memutuskan untuk menjadi nasabah di perbankan syariah karena faktor religiusitasnya. Faktor lain yang dapat ikut mempengaruhi keputusan nasabah adalah kualitas produk. Di mana kualitas produk merupakan karakteristik yang melekat dari suatu produk. Kemungkinan yang terjadi bahwa kebanyakan nasabah pada perbankan syariah juga masih merupakan nasabah perbankan konvensional.Tujuan yang ingin dicapai dalam penelitian ini adalah untuk mengetahui pengaruh kualitas produk dan tingkat religiusitas nasabah terhadap keputusan nasabah untuk menyimpan dananya atau tidak di BSM Cabang Purwokerto. Alat analisis yang digunakan adalah analisis regresi linier berganda, dengan jumlah sampel 100 nasabah. Diperoleh hasil Y = 5,046 + 0,101X1 + 0,218X2. Berdasarkan uji F yang sudah dilakukan maka dapat diketahui bahwa variabel kualitas produk dan religiusitas secara bersama – sama berpengaruh terhadap keputusan nasabah untuk menyimpan dananya di BSM Cabang Purwokerto. Berdasarkan uji t yang sudah dilakukan dapat diketahui bahwa secara partial baik variabel kualitas produk maupun variabel religiusitas berpengaruh terhadap keputusan nasabah untuk menyimpan dananya di BSM Cabang Purwokerto. The progress of the Islamic bank cannot be separated from the role of its customers who give trust to the bank to deposit their financial assets. It is a fact many groups of customers decide to be the customers of the Islamic bank because of their religiosity. The other influences factor of a customer’s decision is the quality of the product. The aim of this research was to determine the effect of product quality and level of customers’ religiosity towards customers’ decision whether to keep their funds in Syariah Mandiri Bank, Branch of Purwokerto, or not. The analytical tool used was multiple linear regression analysis, with a sample of 100 customers. The results indicate Y = 5,046 + 0,101X1 + 0,218X2. Based on F, it can be seen that both variables of product quality and religiosity simultanously affect the customers’ decision to keep theirfunds in BSM Branch of Purwokerto. Based on t test, it can be seen that independently, either variable of product quality or variables of religiosityinfluences the customers’ decision to keep their funds in BSM Branch of Purwokerto.

PENGARUH CITRA MEREK DAN KUALITAS BENIH TERHADAP KEPUTUSAN PEMBELIAN PADA PT.PRABU ARGO MANDIRI (Studi Kasus Penjualan Benih Tomat Merk Maya di Purwkarta)

2017 ◽  
Vol 6 (2) ◽  
Author(s):  
Ahmad Iskandar
Keyword(s):  
Product Quality ◽  
Brand Image ◽  
Hypothesis Test ◽  
Descriptive Analysis ◽  
Linear Regression Analysis ◽  
Coefficient Of Determination ◽  
Decision Variable ◽  
Purchasing Decisions ◽  
Business World

In the era of globalization, the competition in the business world becomes very tight. Companies vying to be able to continue to compete and survive in the business world. Each consumer must have had the expectation that the products they buy are able to provide satisfaction for them to be making purchasing decisions. Consumer purchasing decisions of companies to seeds virtual brand still low due to the brand image and quality of seeds that are still unsatisfactory.This study aims to determine the responses of respondents regarding brand image, product quality, purchasing decisions and how big an impact on the brand image itself against purchase decisions on the PT. Prabu Argo Mandiri Bandung and how much influence the quality of products on the purchase decision.The method by which the samples is Simple Random Sampling consists of 80 respondents. The method of analysis in this research using descriptive analysis and verification which is composed of multiple linear regression analysis. Product moment correlation analysis, and the coefficient of determination used to measure the level of influence of brand image and product quality on purchasing decisions.The results based on descriptive analysis of brand image variable is in good enough category, variable quality of the product is in the unfavorable category, and the purchase decision variable is in the unfavorable category. The results based on correlation test showed that the brand image is partially significant effect on purchasing decisions by 68% and the product quality is partially significant effect on purchasing decisions by 13%. Hypothesis test results suggested that the increased purchasing decisions partially and simultaneously influence through brand image and product quality.

PENGARUH KUALITAS PRODUK, HARGA, MEREK DAN SALURAN DISTRIBUSI TERHADAP VOLUME PENJUALAN PADA PT. GELANG GEMILANG JAYA BELLA SPRING BED SEMARANG

2020 ◽  
Vol 15 (1) ◽  
pp. 217-230
Author(s):  
Untung Widodo
Keyword(s):  
Data Analysis ◽  
Product Quality ◽  
Sampling Technique ◽  
Distribution Channels ◽  
Sales Volume ◽  
Independent Variables ◽  
Variable Distribution ◽  
Data Analysis Methods ◽  
Variable Quality

This research was conducted in order to test how much influence product quality, price and brand to the volume of sales at PT. Gemilang Jaya Bella bracelets Spring Bed Semarang. Independent variables include variable product quality, price and brand while the dependent variable is the volume of sales.In determining the data to be studied sampling technique used is the census. Census is a sampling technique when all members of the population used as a sample .. Respondents were selected is the consumer stores PT. Gemilang Jaya Bella bracelets Spring Bed Semarang. Thus obtained sample was 50 respondents. Data analysis methods used to perform hypothesis testing is multiple linear regression analysis.Based on the results of research that has been conducted on all data obtained, the importance of the research that 1). There is a positive and significant effect of the variable quality of the product (X1) to sales volume (Y). 2). There is a positive and significant impact on price variable (X2) to sales volume (Y). 3). There is a positive and significant impact on brand variables (X3) to sales volume (Y). 4). There is a positive and significant effect of the variable distribution channels (X4) to sales volume (Y)

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