scholarly journals A review of force reduction methods in precision forging axisymmetric shapes

2018 ◽  
Vol 97 (5-8) ◽  
pp. 2809-2833 ◽  
Author(s):  
Denis J. Politis ◽  
Nicholas J. Politis ◽  
Jianguo Lin ◽  
Trevor A. Dean
Keyword(s):  
Precision Forging ◽  
Reduction Methods ◽  
Force Reduction

An Experimental and Numerical Investigation into Forming Force Reduction in Precision Gear Forging

2014 ◽  
Vol 622-623 ◽  
pp. 165-173 ◽  
Author(s):  
Nicholas J. Politis ◽  
Denis J. Politis ◽  
Catrin Mair Davies ◽  
Jian Guo Lin ◽  
Trevor A. Dean
Keyword(s):  
Peak Load ◽  
Maximum Load ◽  
Fe Model ◽  
Precision Forging ◽  
Die Forging ◽  
Closed Die Forging ◽  
Force Reduction ◽  
Tool Set ◽  
Experimental Trials ◽  
The Cost

A significant factor in the cost of industrial machinery for precision forging is the maximum load required to fully forge the final shape of components. Typically in a precision forging process, the required load increases greatly towards the end of the stroke. This study focuses on reducing the final sharp increase in load encountered in a typical closed die forging setup. A technique of reducing the peak load in the forging of gears is proposed, named the Peripheral Relief (PR) method. A gear forging tool set has been designed and manufactured. A number of experimental trials have been performed using model materials to investigate the force reduction technique. An efficient and simplified FE model has been developed to evaluate the effects of the PR method. The experimental load characteristics are compared to the simulated results. The method has been found, both numerically and experimentally, to significantly reduce the peak load encountered at the end of the forging stroke compared to current closed die forging techniques.

scholarly journals The Impact of Labour Force Reduction on the Financial Performance of Manufacturing Companies

2018 ◽  
Vol 10 (2) ◽  
pp. 20
Author(s):  
Wadesango N. ◽  
Gwangwadza D. C. ◽  
Mhaka C. ◽  
Wadesango V. O.
Keyword(s):  
Financial Performance ◽  
Labour Force ◽  
Manufacturing Companies ◽  
Factors Affecting ◽  
The Past ◽  
Reduction Methods ◽  
Force Reduction ◽  
The Impact ◽  
The Relationship ◽  
Qualitative Literature

This study attempts to corroborate the impact of labour force reduction on financial performance of manufacturing companies in a developing country. Despite the on-going use of labour force reduction, literature and research on this approach continues to yield mixed results. This desktop research was therefore conducted with the aim of determining the impact of employing labour force reduction initiatives on financial performance of manufacturing companies. The study reviews the results and findings of empirical and qualitative literature on labour force reduction by previous scholars for a period of 6 years ranging from 2012 to 2017. The phenomenon of labour force reduction has facilitated the research and studies on the area in the past six years, with researchers reaching different conclusions on the practise’s effect on organisations. This has prompted the researchers of this study to critically study labour force reduction methods, factors affecting their success, employees’ reaction to the strategy, the practise effect on productivity and the relationship between labour force reduction and organisation performance. 

scholarly journals The Impact of Labour Force Reduction on the Financial Performance of Manufacturing Companies

2018 ◽  
Vol 10 (2(J)) ◽  
pp. 20-32
Author(s):  
Wadesango N. ◽  
Gwangwadza D. C. ◽  
Mhaka C. ◽  
Wadesango V. O.
Keyword(s):  
Financial Performance ◽  
Labour Force ◽  
Manufacturing Companies ◽  
Factors Affecting ◽  
The Past ◽  
Reduction Methods ◽  
Force Reduction ◽  
The Impact ◽  
The Relationship ◽  
Qualitative Literature

This study attempts to corroborate the impact of labour force reduction on financial performance of manufacturing companies in a developing country. Despite the on-going use of labour force reduction, literature and research on this approach continues to yield mixed results. This desktop research was therefore conducted with the aim of determining the impact of employing labour force reduction initiatives on financial performance of manufacturing companies. The study reviews the results and findings of empirical and qualitative literature on labour force reduction by previous scholars for a period of 6 years ranging from 2012 to 2017. The phenomenon of labour force reduction has facilitated the research and studies on the area in the past six years, with researchers reaching different conclusions on the practise’s effect on organisations. This has prompted the researchers of this study to critically study labour force reduction methods, factors affecting their success, employees’ reaction to the strategy, the practise effect on productivity and the relationship between labour force reduction and organisation performance. 

Group session B. Precision forging

1961 ◽  
Vol 40 (6) ◽  
pp. 416
Author(s):  
I.B. King
Keyword(s):  
Group Session ◽  
Precision Forging

Speech Emotion Recognition Based on Sparse Representation

2013 ◽  
Vol 38 (4) ◽  
pp. 465-470 ◽  
Author(s):  
Jingjie Yan ◽  
Xiaolan Wang ◽  
Weiyi Gu ◽  
LiLi Ma
Keyword(s):  
Dimensionality Reduction ◽  
Emotion Recognition ◽  
Least Squares ◽  
Partial Least Squares ◽  
Partial Least Squares Regression ◽  
Speech Emotion Recognition ◽  
Least Squares Regression ◽  
Computer Science Pedagogy ◽  
Reduction Methods ◽  
Analysis Computer

Abstract Speech emotion recognition is deemed to be a meaningful and intractable issue among a number of do- mains comprising sentiment analysis, computer science, pedagogy, and so on. In this study, we investigate speech emotion recognition based on sparse partial least squares regression (SPLSR) approach in depth. We make use of the sparse partial least squares regression method to implement the feature selection and dimensionality reduction on the whole acquired speech emotion features. By the means of exploiting the SPLSR method, the component parts of those redundant and meaningless speech emotion features are lessened to zero while those serviceable and informative speech emotion features are maintained and selected to the following classification step. A number of tests on Berlin database reveal that the recogni- tion rate of the SPLSR method can reach up to 79.23% and is superior to other compared dimensionality reduction methods.

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