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OPTIMIZATION OF WIRE DRAWING PROCESS PARAMETERS
OPTIMIZATION OF WIRE DRAWING PROCESS PARAMETERS
OPTIMIZATION OF WIRE DRAWING PROCESS PARAMETERS
OPTIMIZATION OF WIRE DRAWING PROCESS PARAMETERS
OPTIMIZATION OF WIRE DRAWING PROCESS PARAMETERS
OPTIMIZATION OF WIRE DRAWING PROCESS PARAMETERS
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OPTIMIZATION OF WIRE DRAWING PROCESS PARAMETERS

Abid Mohammed

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Paperback / softback
02 February 2021
RRP: $90.46
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The main focus of this research was on improvement of wire drawing process in Kombolchasteel products industry by optimizing the processing parameters which, in turn, increases the life of the die and the wire. In order to achieve these goals and remain competitive, there should be a need to apply advanced computational tools, such as FE simulation. Optimizing the die wear factor which the smaller-the-better QCH, and wire strength is the larger-the-better QCH type, is the main interest. Six control factors, involving lubrication type, lubrication temperature, drawing speed, reduction ratio, bearing length, and pre tension, were investigated utilizing L18(OA). The grey relational analysis was conducted for the normalized signal-to-noise (S/N)ratios. The ordinal value of the grey relational grade was then used to decide optimal factor levels. It was observed that lubrication type with powder, lubrication temperature with 390c, drawing speed With 25m/mi, reduction ratio of 17.4%, bearing length of 1.16 mm and drum pre tension with 2000KN is the optimal combination factors. Analysis of variance was performed for grey relational grade to select the factors which affect the process.
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OPTIMIZATION OF WIRE DRAWING PROCESS PARAMETERS

RRP: $90.46
$71.00

Description

The main focus of this research was on improvement of wire drawing process in Kombolchasteel products industry by optimizing the processing parameters which, in turn, increases the life of the die and the wire. In order to achieve these goals and remain competitive, there should be a need to apply advanced computational tools, such as FE simulation. Optimizing the die wear factor which the smaller-the-better QCH, and wire strength is the larger-the-better QCH type, is the main interest. Six control factors, involving lubrication type, lubrication temperature, drawing speed, reduction ratio, bearing length, and pre tension, were investigated utilizing L18(OA). The grey relational analysis was conducted for the normalized signal-to-noise (S/N)ratios. The ordinal value of the grey relational grade was then used to decide optimal factor levels. It was observed that lubrication type with powder, lubrication temperature with 390c, drawing speed With 25m/mi, reduction ratio of 17.4%, bearing length of 1.16 mm and drum pre tension with 2000KN is the optimal combination factors. Analysis of variance was performed for grey relational grade to select the factors which affect the process.

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