Fluxes in the scrap process

A. S. Kharitonov; I. I. Zgur'ev; A. F. Bukina; V. I. Shibanov; V. I. Granovskii

doi:10.1007/bf00734887

Degradation of C.I. Reactive Blue 19 using combined iron scrap process and coagulation/flocculation by a novel Al(OH)3–polyacrylamide hybrid polymer

Journal of the Taiwan Institute of Chemical Engineers ◽

10.1016/j.jtice.2012.07.005 ◽

2012 ◽

Vol 43 (6) ◽

pp. 942-947 ◽

Cited By ~ 28

Author(s):

Yasir Al-Ani ◽

Yilian Li

Keyword(s):

Hybrid Polymer ◽

Reactive Blue 19 ◽

Scrap Process ◽

Iron Scrap

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Effect of Cutting Speed, Feed-rate and Depth of Cut on the Surface Roughness Level of ST-37 Steel in Shaping Proces

Teknomekanik ◽

10.24036/tm.v2i2.2372 ◽

2019 ◽

Vol 2 (1) ◽

pp. 1-6

Author(s):

Krisko Govinda ◽

Abd Aziz

Keyword(s):

Surface Roughness ◽

Data Analysis ◽

Feed Rate ◽

Steel Surface ◽

Cutting Speed ◽

Depth Of Cut ◽

Machining Parameters ◽

High Data ◽

Scrap Process ◽

Effect Of Feeding

Abstract The application in the industrial world, the use of scrap machines by operators pay little attention to the surface roughness of objects produced. The roughness that occurs is influenced by machining parameters such as cutting speed, feed motion, and cutting thickness. The purpose of this study was to determine the effect of cutting speed, feed motion and cutting thickness on the level of roughness of ST 37 steel surface in the scrap process. This type of research is an experimental method that determines the level of steel surface roughness from variations in cutting speed, feed motion, and cutting thickness to ST 37 steel surface roughness. The material used is 70 mm long, 25 mm wide, and 25 mm high. Data processing results from the level of roughness testing using the SPSS version 16.0 application. The results of data analysis showed (1) the significant effect of cutting speed on the level of surface roughness of 5.5%. (2) the significant effect of feeding on the level of surface roughness of 60.9%. (3) significant effect between cutting thickness on surface roughness level of 0.2% (4) significant influence between cutting speed, feed motion, and cutting thickness on the level of surface roughness with a 66.6% influence. Based on data analysis, it can be concluded that cutting speed, feeding motion, cutting thickness are factors that influence the level of steel surface roughness of ST 37 in the scrap process. Keywords: Cutting Speed, Feed Rate, Depth of Cut, Roughness Level, Experimental.

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Analysis of Implementation the Key Technologies of Green Manufacturing

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.522-524.787 ◽

2014 ◽

Vol 522-524 ◽

pp. 787-790

Author(s):

Ji You Huang ◽

Hai Yan Zhu

Keyword(s):

Development Strategy ◽

Material Selection ◽

Implementation Process ◽

Green Manufacturing ◽

Human Society ◽

Manufacturing Strategy ◽

Organizational Barriers ◽

Key Technologies ◽

Scrap Process ◽

Modern Manufacturing

green manufacturing is the reflection of the human society sustainable development strategy in modern manufacturing. This paper firstly introduced the concept and connotation of green manufacturing. And then analyzed the green manufacturing strategy implementation process exists some barriers such as the market, the organization and the technologies. And secondly corresponding researched the influence mechanism of the implementation of green manufacturing of the market barriers, the organizational barriers and the technical barriers. Finally detailed studied the key technologies of the green manufacturing, such as the entire life cycle of products from design, material selection, production, packaging, use to scrap process.

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