Development of a New Cost Performance Index (CPI) for Selecting the Most Suitable Wire Electrode in Wire-EDM Machining

2021 ◽  
Author(s):  
Ahmed A. D. Sarhan ◽  
Ibrahem Maher ◽  
M. Hamdi
Keyword(s):  
Performance Index ◽  
Wire Electrode ◽  
Wire Edm ◽  
Cost Performance

Challenge to Development of Functional Multi-Wire EDM Slicing Method Using Wire Electrode with Track-Shaped Section

2012 ◽  
Vol 523-524 ◽  
pp. 287-292 ◽  
Author(s):  
Yasuhiro Okamoto ◽  
Yasuaki Kimura ◽  
Akira Okada ◽  
Yoshiyuki Uno ◽  
Jun Ohya ◽  
...  
Keyword(s):  
Silicon Carbide ◽  
High Performance ◽  
Kerf Width ◽  
Working Environment ◽  
Wire Electrode ◽  
Wire Edm ◽  
Wafer Thickness ◽  
Wire Saw ◽  
Slicing Method ◽  
Shaped Section

Brittle materials, such as silicon, silicon carbide and sapphire have been conventionally sliced for wafers by a multi-wire saw method with slurry in industrial fields. Recently, the multi-wire saw method with a fixed diamond abrasive wire has been available as a commercial product at acceptable cost, and the high slicing performance is expected compared with the normal multi-wire saw method with slurry. However, there still remain some problems such as bad working environment with abrasives, cleaning cost of sliced wafers, crack generation on the sliced surface and a large kerf loss against a wafer thickness. On the other hand, the developed multi-wire EDM slicing method would accomplish the high performance slicing of silicon and silicon carbide with a narrow kerf width under a clean process environment. However, the thinner wire is challenging process with a normal round shape wire electrode. Therefore, the new wire electrode with track-shaped section was proposed in order to satisfy both the narrow kerf width and the high wire tension even in the case of thin wire electrode. In this study, the running control of wire electrode with a track-shaped section was experimentally investigated, and the possibility of proposed process was discussed.

scholarly journals An Investigation into the Use of Laney U Chart as a Visual Schedule Tracker to Graphically Monitor the Schedule Performance Index

2020 ◽  
Vol 10 (1) ◽  
pp. 35-41
Author(s):  
Jayet Moon
Keyword(s):  
Performance Index ◽  
Control Charts ◽  
Value Management ◽  
Project Schedule ◽  
Earned Value ◽  
Earned Value Management ◽  
Cost Performance ◽  
Schedule Risk ◽  
Schedule Performance ◽  
Visual Schedule

AbstractThe intent of this article is to explore a mathematically sound method to graphically monitor schedule performance index (SPI) such that it enables the project manager to take objective data based decisions regarding the progress of the project schedule. The article aims to leverage the theory and application of control charts, specifically the U chart and Laney U chart and test its applicability to earned value management by trending schedule performance index on a time series chart. Off the shelf software, MinitabTM was used to generate the control charts based on earned value and planned value. While this paper proves that the Laney U chart, with correct interpretation, acts as an effective trigger-based tool for schedule risk management, it also generates further avenues for research into similar use of control charts for cost performance and other quality indices.

scholarly journals Predicting Earned Value Indexes in Residential complexes’ Construction Projects Using Artificial Neural Network Model

2020 ◽  
Author(s):  
ibraheem Aidan ◽  
Firas Jaber ◽  
Duaa Al-Jeznawi ◽  
Faiq Al-Zwainy
Keyword(s):  
Performance Index ◽  
Construction Projects ◽  
Historical Data ◽  
Performance Indicator ◽  
Residential Buildings ◽  
Great Accuracy ◽  
Value Management ◽  
Earned Value ◽  
Earned Value Management ◽  
Cost Performance

The importance of this study may be defined by using the smart techniques to earned value indicators of residential buildings projects in Republic of Iraq, only one development intelligent forecasting model was presented to predict Schedule Performance Index (SPI), Cost Performance Index (CPI), and To Complete Cost Performance Indicator (TCPI) are defined as the dependent. The approach is principally influenced by the determining numerous factors which effect on the earned value management, that involves Iraqi historical data. In addition, six independent variables (F1: BAC, Budget at Completion., F2: AC, Actual Cost., F3, A%, Actual Percentage., F4: EV, Earned Value. F5: P%, Planning Percentage., and F6: PV, Planning Value) were arbitrarily designated and satisfactorily described for per construction project. It was found that ANN has the capability to envisage the dust storm with a great accuracy. The correlation coefficient (R) has been 90.00%, and typical accuracy percentage has been 89.00%.

scholarly journals Modal Analysis of Wire Electrode Vibration in Wire-EDM.

1997 ◽  
Vol 31 (66) ◽  
pp. 1-7 ◽  
Author(s):  
Hisashi YAMADA ◽  
Naotake MOHRI ◽  
Katsushi FURUTANI ◽  
Nagao SAITO ◽  
Takuji MAGARA
Keyword(s):  
Modal Analysis ◽  
Wire Electrode ◽  
Wire Edm

White layer thickness prediction in wire-EDM using CuZn-coated wire electrode – ANFIS modelling

2016 ◽  
Vol 94 (4) ◽  
pp. 204-210 ◽  
Author(s):  
I. Maher ◽  
A. A. D. Sarhan ◽  
H. Marashi ◽  
M. M. Barzani ◽  
M. Hamdi
Keyword(s):  
Layer Thickness ◽  
White Layer ◽  
Wire Electrode ◽  
Wire Edm ◽  
White Layer Thickness ◽  
Coated Wire ◽  
Thickness Prediction ◽  
Coated Wire Electrode

scholarly journals Forecasting techniques in construction industry: earned value indicators and performance models

2020 ◽  
Vol 29 (2) ◽  
pp. 234-243
Author(s):  
Firas Jaber ◽  
Faiq Al-Zwainy ◽  
Nidal Jasim
Keyword(s):  
Performance Index ◽  
Construction Projects ◽  
Performance Indicator ◽  
Tall Buildings ◽  
Earned Value ◽  
Cost Performance ◽  
Value Analysis ◽  
Earned Value Analysis ◽  
New City ◽  
And Performance

Machine Learning Regression Techniques (MLRT) as a shrewd method can be utilized in this study being exceptionally fruitful in demonstrating non-linear and the interrelationships among them in problems of construction projects such as the earned value indexes for tall buildings projects in Republic of Iraq. Three forecasting models were developed to foresee Schedule Performance Index (SPI) as first model, Cost Performance Index (CPI) as a second model, and the third model is To Complete Cost Performance Indicator (TCPI) in Bismayah New City was chosen as a case study. The methodology is mainly impacted by the deciding various components (variables) which impact on the earned value analysis, six free factors (X1: BAC, Budget at Completion; X2: AC, Actual Cost; X3: A%, Actual Percentage; X4: EV, Earned Value; X5: P%, Planning Percentage, and X6: PV, Planning Value) were self-assertively assigned and agreeably depicted for per tall buildings projects. It was found that the MLRT showed good results of estimation in terms of correlation coeffi cient (R) generated by MLR models for SPI and CPI and TCPI where the R were 85.5%, 89.2%, and 86.3% respectively. At long last, a result tends to be presumed that these models show a brilliant concurrence with the genuine estimations.

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