Copper slag: optimization of productivity and consumption for cleaner production in dry abrasive blasting |
| |
| Institution: | 1. Department of Civil and Environmental Engineering, 2000 Lakeshore Drive, University of New Orleans, New Orleans, LA 70148, USA;2. Eco-Systems, Inc., 6360, I-55 North, STE 330, Jackson, MS 39211, USA;1. School of Materials and Metallurgy, Northeastern University, Shenyang, Liaoning 110819, PR China;2. State Key Laboratory of Complex Nonferrous Metal Resources Clean Utilization, Kunming 650093, PR China;1. School of Mechanical Engineering, Dalian University of Technology, Dalian 116024, China;2. School of Engineering, University of Liverpool, Liverpool L69 3GH, UK;3. Department of Industrial Engineering, Texas Tech University, Lubbock, TX 79409, USA;1. Metallurgical and Materials Engineering, Montana Tech, Butte, MT 59701, United States;2. Center for Advanced Mineral & Metallurgical Processing, Montana Tech, Butte, MT 59701, United States;1. State Key Laboratory of Complex Nonferrous Metal Resources Clean Utilization, Kunming University of Science and Technology, Kunming, 650093, China;2. Faculty of Metallurgical and Energy Engineering, Kunming University of Science and Technology, Kunming, 650093, China |
| |
| Abstract: | Copper slag, a by-product from copper smelting industry, is widely used as an abrasive material to remove rust, old coating and other contamination in dry abrasive blasting which is an expensive process and results in significant amounts of particulate emissions and spent abrasive. This paper presents models developed to improve productivity and consumption of copper slag as functions of blast pressure, abrasive feed rate, and surface contamination. These models will help industries in selecting optimum process conditions for maximum efficiency and to achieve cleaner production by consuming less materials and energy resources. In addition, the models will greatly assist in evaluation of the life cycle costs for use of copper slag in dry abrasive blasting. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
